WO2021258664A1 - 交通工具的控制方法及装置、电子设备和存储介质 - Google Patents

交通工具的控制方法及装置、电子设备和存储介质 Download PDF

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Publication number
WO2021258664A1
WO2021258664A1 PCT/CN2020/135808 CN2020135808W WO2021258664A1 WO 2021258664 A1 WO2021258664 A1 WO 2021258664A1 CN 2020135808 W CN2020135808 W CN 2020135808W WO 2021258664 A1 WO2021258664 A1 WO 2021258664A1
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WIPO (PCT)
Prior art keywords
occupant
vehicle
seat
information
display screen
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2020/135808
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English (en)
French (fr)
Inventor
何任东
吴阳平
许亮
李轲
张连路
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Sensetime Lingang Intelligent Technology Co Ltd
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Shanghai Sensetime Lingang Intelligent Technology Co Ltd
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Application filed by Shanghai Sensetime Lingang Intelligent Technology Co Ltd filed Critical Shanghai Sensetime Lingang Intelligent Technology Co Ltd
Priority to JP2021564084A priority Critical patent/JP2022541703A/ja
Priority to KR1020217034158A priority patent/KR20220000902A/ko
Publication of WO2021258664A1 publication Critical patent/WO2021258664A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40—Business processes related to the transportation industry
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/593—Recognising seat occupancy
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification

Definitions

  • the present disclosure provides a technical solution for vehicle control.
  • a vehicle control method including:
  • a disembarkation reminder is given.
  • the determining the occupant's alighting location according to the occupant's identity information includes:
  • the occupant's identity information determines the occupant's drop-off location.
  • the stepping off prompt according to the occupant’s alighting location and seat information includes: determining the display screen corresponding to the occupant’s seat according to the occupant’s seat information; and through the display screen corresponding to the occupant’s seat , According to the disembarkation location of the occupant to prompt the disembarkation.
  • the display screen in the vehicle corresponds to the seat one-to-one
  • the display screen in the vehicle corresponds to the seat area one-to-one, wherein any seat area includes at least one seat.
  • Vibration modules corresponding to the seats one-to-one are installed in the vehicle;
  • the step of performing a get-off reminder according to the occupant’s alighting location and seat information includes: determining a vibration module corresponding to the occupant’s seat according to the occupant’s seat information; controlling the occupant’s alighting location
  • the vibration module corresponding to the occupant's seat vibrates.
  • the prompting of getting off the bus according to the getting off location and seat information of the occupants includes:
  • the drop-off seat information corresponding to the stop site of the vehicle determines the drop-off seat information corresponding to the stop site of the vehicle, wherein the drop-off seat information corresponding to any stop site includes: the drop-off location is the occupant of the stop site Seat information;
  • the getting off seat information corresponding to the stopping station give a getting off prompt; and/or, through the broadcast of the transportation means, according to the getting off the car corresponding to the stopping station The seat information is prompted to get off the bus.
  • the display screen corresponding to the driver of the vehicle passing the vehicle getting off prompt according to the getting off seat information corresponding to the stopping station includes:
  • the display screen corresponding to the driver of the vehicle Through the display screen corresponding to the driver of the vehicle, display the alighting seat map according to the alighting seat information of the upcoming or currently arriving stop, where the alighting location is highlighted in the alighting seat map It is the seat of the occupant of the stopping station that is about to arrive or is currently arriving.
  • it also includes:
  • the display screen corresponding to the driver of the vehicle In response to detecting that all occupants who got off the vehicle at the currently arriving stop station have gotten off, the display screen corresponding to the driver of the vehicle prompts that the currently arriving stop station has been disembarked; and/or, In response to detecting that there is an occupant whose drop-off location is the currently arriving stop station that has not got off, pass the display screen corresponding to the seat of the occupant whose drop-off location is the currently arriving stop and who has not got off the bus, the occupant At least one of the vibration module corresponding to the seat of the vehicle, the display screen corresponding to the driver of the vehicle, and the broadcast of the vehicle, prompting to get off the car.
  • the method further includes:
  • the method further includes:
  • the performing seat belt reminder according to the seat information of the occupant includes:
  • the vibration module corresponding to the occupant’s seat Through at least one of the display screen corresponding to the occupant’s seat, the vibration module corresponding to the occupant’s seat, the display screen corresponding to the driver of the vehicle, and the broadcast of the vehicle, according to the occupant’s Seat information, carry out seat belt reminder.
  • the detecting whether the occupant is wearing a seat belt based on the internal image includes:
  • the internal image is input to a first neural network, and the seat belt wearing result of the occupant is output via the first neural network, wherein the first neural network adopts preset colors and/or preset patterns in advance
  • the image sample of the seat belt was trained.
  • the method further includes:
  • the method further includes:
  • the display screen corresponding to the seat of the occupant displays the welcome message for the occupant according to the identity information of the occupant.
  • the method further includes:
  • the fatigue state detection result and/or the negative emotion detection result corresponding to the driver are stored and processed.
  • a vehicle control method including:
  • the seat belt reminders can be carried out in a targeted manner, thereby effectively reminding the occupants to wear the seat belt. For example, for students who take a school bus, by providing seat belt reminders based on the student's seat information, students can be effectively reminded to wear seat belts, thereby improving the safety of school bus commuting.
  • the detecting whether the occupant is wearing a seat belt based on the internal image includes:
  • the internal image is input to a first neural network, and the seat belt wearing result of the occupant is output via the first neural network, wherein the first neural network adopts preset colors and/or preset patterns in advance
  • the image sample of the seat belt was trained.
  • the safety belt detection is performed through the first neural network, which can improve the accuracy of the safety belt detection and reduce the cost of the safety belt detection.
  • a vehicle control device including:
  • the first determination module is used to collect the face image of the occupant of the vehicle, and determine the identity information of the occupant based on the face image;
  • the second determining module is configured to collect the image inside the vehicle, and determine the seat information of the occupant based on the inside image;
  • the third determining module is used to determine the place where the occupant gets off the bus according to the identity information of the occupant;
  • the first disembarkation prompt module is used to prompt for disembarkation according to the disembarkation location and seat information of the occupants.
  • an electronic device including: one or more processors; a memory for storing executable instructions; wherein the one or more processors are configured to call the memory to store The executable instructions to perform the above method.
  • a computer-readable storage medium having computer program instructions stored thereon, and the computer program instructions implement the above-mentioned method when executed by a processor.
  • a computer program including computer readable code, and when the computer readable code is executed in an electronic device, a processor in the electronic device executes for realizing the above method.
  • the identity information of the occupant is determined, and the image inside the vehicle is collected based on the image of the inside.
  • Determine the seat information of the occupant determine the occupant’s alighting location based on the occupant’s identity information, and perform alighting reminder based on the occupant’s alighting location and seat information, thereby enabling targeted Prompt the occupants to get off, which can effectively remind the occupants to get off at the correct stop. For example, in the school bus commute, children sometimes forget to get off the bus because they are young because they are sleeping or wandering.
  • the embodiments of the present disclosure can reduce costs and improve efficiency.
  • Fig. 1 shows a flowchart of a method for controlling a vehicle provided by an embodiment of the present disclosure.
  • Fig. 2 shows a schematic diagram of an alighting seat diagram in an embodiment of the present disclosure.
  • Fig. 3 shows a block diagram of a vehicle control device provided by an embodiment of the present disclosure.
  • FIG. 4 shows a block diagram of an electronic device 800 provided by an embodiment of the present disclosure.
  • Fig. 1 shows a flowchart of a method for controlling a vehicle provided by an embodiment of the present disclosure.
  • the execution subject of the vehicle control method may be a vehicle control device.
  • the control device of the vehicle may be installed on the vehicle.
  • the control method of the vehicle may be executed by a terminal device or other processing device.
  • the terminal device may be a user equipment (UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (Personal Digital Assistant, PDA), a handheld device, a computing device, or a vehicle-mounted device, etc.
  • the method for controlling the vehicle may be implemented by a processor invoking a computer-readable instruction stored in a memory.
  • the control method of the transportation means includes step S11 to step S14.
  • step S11 a face image of an occupant of the vehicle is collected, and based on the face image, the identity information of the occupant is determined.
  • the vehicle may be a vehicle used for commuting, for example, a school bus, shuttle bus, etc., or other public or private vehicles, such as online car-hailing, buses, and the like.
  • the occupant of the vehicle may refer to the person who takes the vehicle.
  • a camera is provided on the vehicle.
  • the camera may include an RGB (Red, red; Green, green; Blue, blue) camera, an RGBD (Red, red; Green, green; Blue, blue; Depth, depth) camera, a binocular infrared camera and an infrared thermal camera.
  • RGB Red, red; Green, green; Blue, blue
  • RGBD Red, red; Green, green; Blue, blue
  • Depth, depth a camera
  • a binocular infrared camera a binocular infrared camera and an infrared thermal camera.
  • One or two or more of imaging camera modules, etc. By using binocular infrared cameras or RGBD cameras, etc., the function of living body detection can be realized.
  • the face image of the occupant of the vehicle can be collected through the camera.
  • a distance sensor or a pyroelectric infrared sensor may be arranged near the camera to detect whether a human body is close to the camera through the distance sensor or the pyroelectric infrared sensor.
  • images may be continuously collected through a camera, and face detection may be performed on the collected images to determine whether a face image is collected.
  • the correspondence between the facial information and the identity information of the occupants of the vehicle may be stored in advance.
  • the face information of the occupant may include a face photo of the occupant, and/or facial features extracted from the face photo of the occupant.
  • the identity information of the occupant may represent information that can be used to uniquely determine the identity of the occupant.
  • the occupant's identity information may include at least one of the occupant's name, ID number, serial number, and so on.
  • the face image of the occupant of the vehicle can be collected through the camera at the place where the vehicle is boarded (for example, on or near the door of the boarding door, the position of the card reader on and off the vehicle, etc.) Or, the face image of the occupant of the vehicle can be collected through the camera inside the vehicle.
  • the identity information of the occupant can be determined.
  • the facial features in the facial image can be extracted through a second neural network, and then the facial features are compared with pre-stored facial features, and the determination is made according to the comparison result.
  • the identity information corresponding to the face image that is, the identity information of the occupant).
  • the second neural network may be pre-trained based on the face image set with face key point annotation information, so that the second neural network can learn the ability of face positioning and facial feature extraction.
  • the key points of the face may include the key points of the forehead, eyes, eyebrows, mouth, nose, face contour and other parts.
  • the number of face key points can be 21, 106, 240, etc.
  • the embodiments of the present disclosure do not limit the structure of the second neural network.
  • it may include, but is not limited to, Back Propagation (BP) neural network, convolutional neural network, and radial basis function (Radial Basis Function, RBF) neural network.
  • BP Back Propagation
  • RBF Radial basis function
  • Perceptron neural network Perceptron neural network
  • linear neural network linear neural network
  • feedback neural network etc.
  • the identity information and boarding time of the occupants of the transportation means can be stored for subsequent analysis of the riding conditions of the occupants of the transportation means.
  • the boarding time may include the time of entering the vehicle and/or the time of leaving the vehicle.
  • the identity information and boarding time of the occupants of the vehicle may be stored in the memory of the vehicle.
  • the identity information and boarding time of the occupants of the vehicle may be sent to the server, so that the server stores the identity information and boarding time of the occupants of the vehicle.
  • a boarding reminder message may be sent to the parent terminal corresponding to the occupant (that is, the parent’s terminal) to remind the occupant’s parent
  • the occupant has boarded the vehicle.
  • the occupants are students. After detecting that the student has entered the school bus, it can send a boarding reminder message to the parent terminal corresponding to the student to remind the parent that the student has boarded the bus, thereby facilitating the remote remote control of the parent Monitor the children's ride on the school bus.
  • the boarding information corresponding to the occupant can be sent to the server, and the parents of the occupant can view the information through the APP (application). State the passenger’s boarding record.
  • the boarding information corresponding to the occupant may include the identity information of the occupant and the boarding time of the occupant.
  • step S12 an image of the interior of the vehicle is collected, and based on the image of the interior, the seat information of the occupant is determined.
  • At least one camera may be installed inside the vehicle.
  • multiple cameras may be installed inside the vehicle to collect images inside the vehicle.
  • the vehicle is a school bus, and cameras can be installed around the school bus to collect images of students at various positions or at least part of the positions in the school bus.
  • the seat information of any occupant may be information that can uniquely determine the seat of the occupant.
  • the seat information may be a seat number or the like.
  • the movement trajectory of the occupant inside the vehicle can be tracked according to the image and/or video stream inside the vehicle, and the movement trajectory of the occupant can be determined according to the movement trajectory of the occupant inside the vehicle.
  • Seat information can be used to determine the movement trajectory of the occupant inside the vehicle.
  • the location of the occupant may be analyzed according to the image inside the vehicle to determine the seat information of the occupant.
  • step S13 according to the identity information of the occupant, the getting off location of the occupant is determined.
  • the correspondence relationship between the identity information of the occupant and the drop-off location can be stored in advance.
  • any occupant may correspond to at least one drop-off location.
  • the drop-off location of any occupant may include the occupant’s home address and school address, or the drop-off location of any occupant may include the stop station closest to the occupant’s home address and the nearest school address to the occupant’s Stop site.
  • the drop-off location of any occupant may include the occupant’s home address and unit address, or the drop-off location of any occupant may include the stop station closest to the occupant’s home address and the unit address of the occupant The nearest stop.
  • the disembarkation location of the occupant may be determined based on the correspondence between the identity information of the occupant and the disembarkation location stored in advance.
  • the determining the disembarkation location of the occupant according to the identity information of the occupant includes: determining the disembarkation location of the occupant according to the identity information of the occupant and the current time.
  • the same occupant may have different disembarkation locations at different times.
  • the vehicle is a school bus and the occupants are students. If the current time belongs to the school time period, it can be determined that the occupant's drop-off location is the school address, and if the current time falls within the school time period, it can be determined that the occupant gets off the bus The location is the home address.
  • the occupant's alighting location can be accurately determined in different time periods.
  • the drop-off location of the occupant can be determined directly according to the identity information of the occupant, without combining the current time.
  • step S14 according to the occupant's getting off location and seat information, a getting off prompt is given.
  • the prompt information used for getting off the bus can include the seat information of the occupants who are about to arrive or have arrived at the stop, or it can be used to download the prompt information output device installed at the seat of the occupant who is about to arrive or have arrived at the stop. Car tips.
  • the exit reminder can be given through one or more of the sounding module, the display module, the vibration module, and the light-emitting module installed in the vehicle.
  • the sound emitting module may include a speaker, etc.
  • the display module may include a display screen, etc.
  • the vibration module may include a vibrator, etc.
  • the light emitting module may include an LED (Light Emitting Diode, light emitting diode), etc.
  • the text message "The next stop is station XX, please pay attention to getting off the train” can be displayed through the display module.
  • control settings in front of or near the seat of the occupant emits light to remind the occupant to pay attention to getting off the vehicle.
  • the identity information of the occupant is determined, and the image inside the vehicle is collected based on the image of the inside.
  • Determine the seat information of the occupant determine the occupant’s alighting location based on the occupant’s identity information, and perform alighting reminder based on the occupant’s alighting location and seat information, thereby enabling targeted Prompt the occupants to get off, which can effectively remind the occupants to get off at the correct stop. For example, in the school bus commute, children sometimes forget to get off the bus because they are young because they are sleeping or wandering.
  • the embodiments of the present disclosure can reduce costs and improve efficiency.
  • a display screen corresponding to a seat is installed in the vehicle; the prompting to get off according to the occupant’s alighting location and seat information includes: according to the occupant’s seat Information, the display screen corresponding to the seat of the occupant is determined; through the display screen corresponding to the seat of the occupant, a getting off prompt is given according to the getting off location of the occupant.
  • the display screen corresponding to the occupant's seat is determined according to the occupant's seat information, for example, it may be a display screen set in front of or near the occupant's seat.
  • the exit prompt is given.
  • the display screen corresponding to the passenger's seat is determined based on the passenger's seat information, and the display screen corresponding to the passenger's seat is used to prompt for getting off according to the passenger's alighting location Therefore, the occupant can be prompted to get off the car in a targeted manner through the display screen corresponding to the seat of the occupant, thereby effectively reminding the occupant to get off at the correct stop.
  • the display screens in the vehicle correspond to the seats one-to-one.
  • the display screen corresponding to any seat can be arranged in front of or near the seat.
  • a display screen can be provided in front of each seat.
  • the display screen in the vehicle has a one-to-one correspondence with the seating area, wherein any seating area includes at least one seat.
  • the seat and the display screen may have a many-to-one relationship.
  • a display screen may be arranged in front of multiple adjacent seats. According to this example, it is possible to reduce the cost of installing the display screen in the vehicle and reduce the total space occupied by the display screen in the vehicle under the premise of promptly giving the occupants to get off the vehicle.
  • the vehicle is equipped with a vibration module corresponding to the seat one-to-one; the prompting to get off according to the occupant’s alighting location and seat information includes: according to the occupant Determine the vibration module corresponding to the occupant’s seat; control the vibration module corresponding to the occupant’s seat to vibrate according to where the occupant gets off the bus.
  • the vibration module corresponding to any seat can be installed on the seat or backrest of the seat.
  • the vibration module corresponding to the seat of the occupant is controlled to vibrate.
  • the vibration module corresponding to the seat of the occupant can prompt the occupant to get off the car in a targeted manner, thereby effectively reminding the occupant to get off at the correct stopping station, for example, it can effectively remind the sleeping occupant to get off the car in time.
  • the step of performing a drop-off prompt based on the occupant’s drop-off location and seat information includes: determining the stop site of the vehicle based on the occupant's drop-off location and seat information Corresponding alighting seat information, wherein the alighting seat information corresponding to any stop station includes: the seat information of the occupant of the stop station; The alighting seat information corresponding to the stopping station is used to give a getting off prompt; and/or, through the broadcast of the transportation means, the getting off prompt is provided according to the alighting seat information corresponding to the stopping station.
  • the correspondence between the stop location and the seat information can be determined to obtain the difference
  • the information of the alighting seat corresponding to the stop site may be arranged near the driver's seat, for example, may be arranged on the center console.
  • the display screen corresponding to the driver of the vehicle can display "The next stop is XX station. Please pay attention to whether the occupants of XX seats, XX seats, and XX seats are "Get off” text message.
  • the display screen corresponding to the driver of the vehicle can display "XX station has arrived. Please pay attention to whether the occupants of XX seat, XX seat, and XX seat are off "Car” text message.
  • the voice of "Station XX has arrived, please pay attention to getting off the bus for XX seat, XX seat, and XX seat occupants" can be played through the broadcast of the vehicle.
  • the display screen corresponding to the driver of the vehicle is used to prompt for getting off the car according to the information of the getting off seat corresponding to the stopping station, thereby reminding the driver to pay attention to the getting off location at each stopping station. It is whether the occupants of the stop station have all got off and whether any occupants got off the wrong car, so as to reduce the probability of the occupants getting off the wrong car or forgetting to get off.
  • the getting off reminder is given according to the getting off seat information corresponding to the stopping station, so that all persons in the transportation means can hear the getting off prompt, if the getting off location is the stopping station that is currently arriving If the occupant of did not get off the car (for example, because he fell asleep and did not see or hear the prompt to get off), other occupants (for example, the occupants near the occupant) can remind the occupant to get off, thereby reducing the number of occupants getting off the wrong car or forgetting to get off The probability.
  • the display screen corresponding to the driver passing through the transportation means prompts for getting off the car according to the getting off seat information corresponding to the stop station, including: corresponding to the driver passing through the transportation means
  • the display screen of displays the alighting seat map according to the alighting seat information of the upcoming or currently arriving stop. Among them, in the alighting seat map, the highlighted alighting location is the upcoming or currently arriving stop Seat of the crew.
  • the alighting point is the display mode of the seat of the occupant of the stopping station that is about to arrive or is currently arriving, which is different from the display mode of the passenger seat of the stopping station that is not about to arrive or the currently arriving stop.
  • Shows that the drop-off point is the seat of the occupant at the stopping station that is about to arrive or is currently arriving. For example, by enlarging the seat number of the occupant whose alighting location is the upcoming or currently arriving stop in the alighting seat map, add an icon, Add dynamic borders to the seats of passengers whose drop-off location is about to arrive or currently arrive, and highlight the seats of passengers whose drop-off location is the upcoming or currently arriving stop.
  • FIG. 2 shows a schematic diagram of an alighting seat diagram in an embodiment of the present disclosure.
  • the seats of the occupants whose alighting points are about to arrive or are currently arriving at the stop station are 3 and 6, then in the alighting seat map, the display mode of seat 3 and seat 6 can be different from other seats to highlight Show seat 3 and seat 6.
  • the alighting seat map is displayed according to the alighting seat information of the upcoming or currently arriving stop, where, in the alighting seat map, Highlight the seat of the occupant of the stopping station that is about to arrive or the current arrival, so that the driver can intuitively determine the seat of the occupant of the stopping station that is about to arrive or currently arrives, and the driver will get off according to
  • the seat map can determine whether the occupants who got off the bus at the stop site have all got off and whether any occupants got off the wrong car, so as to reduce the probability of the occupants getting off the wrong car or forgetting to get off.
  • the method further includes: detecting whether all the occupants who got off the vehicle at the currently arriving stop station have got off; responding to detecting that the drop-off location is the occupants at the currently arriving stop station All have got off the vehicle, and the display screen corresponding to the driver of the vehicle prompts that the currently arriving stop has been disembarked; and/or, in response to detecting that there is a drop off location of the currently arriving stop If the occupant does not get off the bus, pass the display screen corresponding to the seat of the occupant who has not got off the bus at the current stop, the vibration module corresponding to the seat of the occupant, and the display corresponding to the driver of the vehicle At least one of the display screen and the broadcast of the vehicle, prompting to get off the vehicle.
  • this implementation manner it is possible to track the movement trajectory of the occupants by collecting the video stream inside the vehicle, so as to determine whether the occupants whose drop-off location is the currently arriving stop station have all got off the bus. As another example of this implementation manner, it may be determined whether all the passengers whose drop-off location is the currently arriving stop station have got off the vehicle according to the image collected by the camera at the drop-off location of the vehicle.
  • the display screen corresponding to the driver of the vehicle prompts that the currently-arriving stop station has gotten off.
  • the car is completed, which can reduce the parking time and improve the commuting efficiency of traffic work.
  • the display screen corresponding to the seat of the occupant whose drop-off location is the currently arriving stop but does not get off By responding to detecting that there is an occupant whose drop-off location is the currently arriving stop but does not get off, the display screen corresponding to the seat of the occupant whose drop-off location is the currently arriving stop and who has not got off the bus, said At least one of the vibration module corresponding to the seat of the occupant, the display screen corresponding to the driver of the vehicle, and the broadcast of the vehicle are prompted to get off the car, thereby further reducing the probability of the occupant sitting over the station.
  • a getting-off reminder message may be sent to the parent terminal corresponding to the occupant (that is, the parent’s terminal) to remind the occupant’s parent
  • the occupant has got off the car.
  • the occupants are students. After detecting that the student has left the school bus, it can send a getting-off reminder message to the parent terminal corresponding to the student to remind the parents that the student has gotten off the bus, thereby facilitating the parents to remotely Monitor the children's ride on the school bus.
  • the getting off information corresponding to the occupant can be sent to the server, and the parents of the occupant can view the information through the APP (application). Describe the occupant’s getting off record.
  • the getting off information corresponding to the occupant may include the identity information of the occupant and the getting off time of the occupant.
  • the method further includes: responding that the current time belongs to school time and the vehicle is about to arrive at the occupant’s alighting location , Send pickup and drop-off information to the parent terminal corresponding to the occupant; and/or, in response to the current time belonging to school time and the vehicle is about to arrive at the pick-up location of any occupant, send pickup and drop-off to the parent terminal corresponding to the occupant information.
  • the location information of the school bus can also be sent to the server when the students go to school and after school.
  • Parents can know the approximate arrival time of the school bus through the terminal APP (application), so as to facilitate the parents to pick up and drop off their children. .
  • the method further includes: after detecting that the occupant is seated, based on the interior image, detecting whether the occupant is wearing Seat belt; in response to detecting that the occupant is not wearing a seat belt, perform a seat belt prompt based on the seat information of the occupant.
  • the seat belt reminder is performed according to the seat information of the occupant, thereby the seat belt reminder can be performed in a targeted manner, so that the occupant can be effectively reminded to wear the seat belt.
  • the seat belt reminder can be performed according to the seat information of the occupant, thereby the seat belt reminder can be performed in a targeted manner, so that the occupant can be effectively reminded to wear the seat belt.
  • students who take a school bus by providing seat belt reminders based on the student's seat information, students can be effectively reminded to wear seat belts, thereby improving the safety of school bus commuting.
  • the seat belt reminder according to the seat information of the occupant includes: through the display screen corresponding to the seat of the occupant, the vibration module corresponding to the seat of the occupant, and the vehicle At least one of the display screen corresponding to the driver of the driver and the broadcast of the vehicle, according to the seat information of the occupant, prompts the seat belt.
  • the text message “please wear seat belts as soon as possible” can be displayed on the display screen corresponding to the occupant's seat.
  • the text message “please remind the occupants of seat XX to wear seat belts” can be displayed on the display screen corresponding to the driver of the vehicle.
  • the voice of "please wear seat belts as soon as possible” can be played through the broadcast of the vehicle.
  • seat belt prompts are performed according to the occupant’s seat information, so that the seat belt can be targeted to the occupant through the display screen corresponding to the occupant’s seat. Tips, which can effectively remind the occupants to wear seat belts.
  • the seat belt prompt is performed according to the seat information of the occupant, so that the driver can remind the occupant to wear the seat belt according to the seat of the occupant.
  • seat belt reminders are performed according to the seat information of the occupants, so that all persons in the vehicle can hear the seat belt reminders, which helps the occupants to supervise each other.
  • the detecting whether the occupant wears a seat belt based on the internal image includes: inputting the internal image into a first neural network, and outputting the internal image via the first neural network.
  • the image sample used to train the first neural network may include an image sample of wearing a seat belt and an image sample of not wearing a seat belt, where the seat belt in the image sample of wearing a seat belt may be a preset color and / Or a safety belt with a preset pattern.
  • the preset color may be a more obvious color
  • the preset pattern may be a more obvious pattern.
  • seat belts of the preset color and/or the preset pattern may also be used to improve the accuracy of seat belt recognition.
  • performing seat belt detection through the first neural network can improve the accuracy of seat belt detection and reduce the cost of seat belt detection.
  • the method further includes: after the vehicle is turned off, or after the vehicle is turned off and the door is closed, performing live body detection based on the internal image; and in response to the detection Living body, through at least one of the display screen corresponding to the driver of the vehicle, the broadcast of the vehicle, and the lights of the vehicle, prompting the presence of remaining occupants in the vehicle, and/or, The terminal of the relevant person of the vehicle sends the remaining occupant prompt information.
  • the vehicle stalling information can be acquired through a vehicle-mounted communication module.
  • the vehicle-mounted communication module may include a CAN (Controller Area Network, Controller Area Network) bus module.
  • a third neural network may be used to perform live detection on the internal image.
  • the third neural network may be trained in advance using image samples with and without living bodies.
  • a text message of "please check whether any occupants have not got off the vehicle” may be displayed on the display screen corresponding to the driver of the vehicle.
  • the voice of "please check whether any occupants have not got off the vehicle” can be played through the broadcast of the vehicle.
  • the vehicle lights of the vehicle may be controlled to flash, so as to prompt that there are remaining occupants in the vehicle.
  • a message of "please return to the vehicle to check if any occupants have not got off” can be sent to the relevant personnel of the vehicle (for example, the driver, the person in charge, etc.).
  • the vehicle if it is detected that the vehicle has stalled, it can indicate to a large extent that the vehicle has reached the terminal.
  • the vehicle is turned off, or after the vehicle is turned off and the door is closed, if a living body is detected based on the internal image by living body detection, the remaining occupant prompt can be performed, thereby further improving the safety of the vehicle sex.
  • live detection is performed based on the image inside the school bus. If a living body is detected, it can be prompted through at least one of the display screen corresponding to the driver of the school bus, the broadcast of the school bus, and the lights of the school bus.
  • the terminals of the relevant personnel of the school bus for example, the driver of the school bus, the person in charge of the school, etc.
  • the method further includes: after the vehicle is turned off, or after the vehicle is turned off and the door is closed, if based on the record of getting on and off of the occupants of the vehicle, If it is determined that there are remaining occupants in the vehicle, at least one of the display screen corresponding to the driver of the vehicle, the broadcast of the vehicle, and the lights of the vehicle will prompt the vehicle There are remaining occupants, and/or, sending the remaining occupant prompt information to the terminal of the relevant person of the vehicle.
  • the method further includes: when the occupant enters the vehicle, displaying information about the occupant through a display screen on the boarding place of the vehicle according to the occupant’s identity information.
  • the welcome message may include "Good morning, XX classmate" and so on.
  • the ideal information of the occupant may be obtained according to the identity information of the occupant, and the welcome message for the occupant may be displayed according to the ideal of the occupant. For example, if an occupant's ideal is to become a scientist, the welcome message for the occupant may include "good morning, future scientist".
  • the information of the characters liked by the occupant may be obtained according to the identity information of the occupants, and the welcome information for the occupant may be displayed through the image of the characters liked by the occupant.
  • the character that an occupant likes is character A
  • the character A can be displayed on the display screen, and the character A can be used to greet the occupant.
  • a welcome message for the occupant is displayed based on the occupant’s identity information on the display screen of the boarding place of the vehicle, and/or, after the occupant is seated, pass the The display screen corresponding to the seat of the occupant displays the welcome message for the occupant according to the identity information of the occupant, thereby enabling the occupant to obtain a personalized riding experience.
  • the method further includes: when the occupant leaves the vehicle, through the display screen at the drop-off point of the vehicle, according to the identity information of the occupant, displaying the Describe the passenger’s getting off greeting message.
  • the greeting message for getting off the bus can be "XX classmate, thanks for taking the car, see you next time” or “Future scientist, thanks for taking the car, see you next time”, etc.
  • the method further includes: collecting an image of the driver of the vehicle, and performing fatigue state detection and/or negative emotion detection on the driver based on the image of the driver , Obtain the fatigue state detection result and/or negative emotion detection result corresponding to the driver; perform storage processing on the fatigue state detection result and/or negative emotion detection result corresponding to the driver.
  • negative emotions may include emotions such as anger and sadness.
  • the method further includes: in response to detecting that the driver is in a fatigue state, prompting the driver to pull over and rest.
  • a display screen corresponding to the driver and/or a broadcast of the vehicle may be used to prompt the driver to pull over and rest.
  • the body temperature data of the occupant may be measured by the body temperature measurement module installed on the vehicle, and the measurement time of the body temperature data, the relevant information of the vehicle, the The corresponding relationship between the identity information and the body temperature data, and the corresponding relationship is stored.
  • the body temperature measurement module may be a non-contact body temperature measurement module, so as to reduce cross-infection and improve the passing efficiency of occupants.
  • the body temperature measurement module may include a thermal imaging body temperature detector.
  • a thermal imaging body temperature detector In nature, objects whose temperature is higher than absolute zero (-273°C) will radiate electromagnetic waves, and infrared is the most widespread form of electromagnetic waves.
  • the thermal imaging body temperature detector collects the infrared signal emitted by the object, converts the infrared signal into an electric signal, and then converts the electric signal into a temperature through a signal processing system, and can output a thermal imaging image that is easy to be recognized by the naked eye. In this way, the thermal imaging body temperature detector can realize non-contact temperature measurement.
  • the body temperature measurement module may also include a temperature calibration device, such as Bold.
  • the black body can be installed on the opposite side of the thermal imaging body temperature detector, thereby ensuring that the radiation target surface of the black body appears in the imaging picture of the thermal imaging body temperature detector.
  • the thermal imaging body temperature detector can use the temperature value set in the black body as a reference to perform real-time temperature measurement and calibration, so that the temperature measurement accuracy can reach the requirement of ⁇ 0.3°C.
  • the black body can be used only by connecting to the power supply, without the need to connect to the Internet.
  • the body temperature measurement module may further include an infrared thermometer for measuring forehead temperature or wrist temperature.
  • the body temperature measurement module may be installed outside or in the cabin of the vehicle.
  • the body temperature measurement module may be installed near the vehicle door, such as the left side of the vehicle door.
  • the body temperature measurement module can be installed on a vehicle door.
  • the body temperature measurement module may be installed at the position of the card reader on and off the vehicle.
  • a body temperature prompt message is issued.
  • the body temperature prompt information can be used to prompt the occupant to go to a hospital for examination.
  • the related information of the vehicle includes one or more of positioning information, route information, driver information, and identification information of the vehicle.
  • the identification information of the vehicle may include the license plate number of the vehicle.
  • the driver information can be the driver's ID number, photo, name, face image, and other information that can be used to uniquely identify the driver.
  • the storing the corresponding relationship includes: storing the corresponding relationship in a memory of the vehicle.
  • the storing the corresponding relationship includes: sending the corresponding relationship to a server, so that the server stores the corresponding relationship.
  • the server stores the corresponding relationship, which can facilitate subsequent traceability searches based on the data stored by the server.
  • the method further includes: obtaining a query request, wherein the query request includes the identity information of the occupant to be queried;
  • the identity information of the occupant is used to determine the relevant information of the transportation used by the occupant to be queried and the time when the occupant to be queried took the transportation; determine the occupant to be queried based on the relevant information of the transportation used by the occupant to be queried.
  • the identity information of the companion of the occupant to be inquired wherein the accompany of the occupant to be inquired means the occupant who takes the same transportation at the same time as the occupant to be inquired.
  • the query request may also include the time range of the query request.
  • the time range of the query request may be determined according to the onset time of the occupant to be queried and the length of the incubation period of the disease.
  • the occupant to be queried may be an occupant who is diagnosed with a certain infectious disease. After the occupant is diagnosed, the whereabouts of the occupant, companions and whereabouts of the occupant can be searched and controlled based on the stored data.
  • the vehicle is a vehicle
  • the method further includes: responding to the identification result of the face image indicating that the occupant is an occupant who is not allowed to ride in the vehicle, controlling the door not to be unlocked or Do not open the door.
  • occupant information is pre-registered, such as school buses, online rides, and shared shuttles
  • the door is controlled not to be unlocked or not to open the door, thereby reducing the possibility of the occupant getting in the wrong vehicle.
  • the embodiment of the present disclosure also provides a method for controlling a vehicle, including: collecting an image inside the vehicle, and determining the seat information of an occupant of the vehicle based on the internal image; After the occupant is seated, based on the internal image, detect whether the occupant is wearing a seat belt; in response to detecting that the occupant is not wearing a seat belt, perform a seat belt prompt based on the seat information of the occupant.
  • the seat belt reminder is performed according to the seat information of the occupant, thereby the seat belt reminder can be performed in a targeted manner, so that the occupant can be effectively reminded to wear the seat belt.
  • the seat belt reminder can be performed according to the seat information of the occupant, thereby the seat belt reminder can be performed in a targeted manner, so that the occupant can be effectively reminded to wear the seat belt.
  • students who take a school bus by providing seat belt reminders based on the student's seat information, students can be effectively reminded to wear seat belts, thereby improving the safety of school bus commuting.
  • the performing seat belt reminder according to the seat information of the occupant includes: through the display screen corresponding to the seat of the occupant, the vibration module corresponding to the seat of the occupant, and the traffic At least one of the display screen corresponding to the driver of the tool and the broadcast of the vehicle provides seat belt prompts based on the seat information of the occupants.
  • seat belt prompts are performed according to the occupant’s seat information, so that the occupant can be targeted to be safe through the display screen corresponding to the occupant’s seat. With prompts, it can effectively remind the occupants to wear seat belts.
  • the seat belt prompt is performed according to the seat information of the occupant, so that the driver can remind the occupant to wear the seat belt according to the seat of the occupant.
  • seat belt reminders are performed according to the seat information of the occupants, so that all persons in the vehicle can hear the seat belt reminders, which helps the occupants to supervise each other.
  • the detecting whether the occupant is wearing a seat belt based on the internal image includes: inputting the internal image into a first neural network, and outputting the internal image via the first neural network.
  • the first neural network is pre-trained by using an image sample of a seat belt containing a preset color and/or a preset pattern.
  • the safety belt detection is performed through the first neural network, which can improve the accuracy of the safety belt detection and reduce the cost of the safety belt detection.
  • the writing order of the steps does not mean a strict execution order but constitutes any limitation on the implementation process.
  • the specific execution order of each step should be based on its function and possibility.
  • the inner logic is determined.
  • the present disclosure also provides a vehicle control device, electronic equipment, computer-readable storage medium, and a program, all of which can be used to implement any vehicle control method provided in the present disclosure.
  • vehicle control device electronic equipment, computer-readable storage medium, and a program, all of which can be used to implement any vehicle control method provided in the present disclosure.
  • the corresponding technical solutions and descriptions and refer to the methods Part of the corresponding records will not be repeated here.
  • Fig. 3 shows a block diagram of a vehicle control device provided by an embodiment of the present disclosure.
  • the control device of the vehicle includes:
  • the first determining module 31 is configured to collect face images of occupants of vehicles, and determine the identity information of the occupants based on the face images;
  • the second determining module 32 is configured to collect images of the interior of the vehicle, and determine the seat information of the occupants based on the images of the interior;
  • the third determining module 33 is configured to determine the place where the occupant gets off the bus according to the identity information of the occupant;
  • the first disembarkation prompt module 34 is configured to prompt for disembarkation according to the disembarkation location and seat information of the occupants.
  • the third determining module 33 is configured to:
  • the occupant's identity information determines the occupant's drop-off location.
  • a display screen corresponding to the seat is installed in the vehicle
  • the first alighting prompt module 34 is used to: determine the display screen corresponding to the occupant’s seat according to the occupant’s seat information; use the display screen corresponding to the occupant’s seat to determine the occupant’s alighting location Prompt to get off.
  • the display screen in the vehicle corresponds to the seat one-to-one
  • the display screen in the vehicle corresponds to the seat area one-to-one, wherein any seat area includes at least one seat.
  • Vibration modules corresponding to the seats one-to-one are installed in the vehicle;
  • the first alighting prompt module 34 is used to determine the vibration module corresponding to the occupant’s seat according to the occupant’s seat information; control the vibration module corresponding to the occupant’s seat according to the occupant’s alighting location shock.
  • the first getting off prompt module 34 is used to:
  • the drop-off seat information corresponding to the stop site of the vehicle determines the drop-off seat information corresponding to the stop site of the vehicle, wherein the drop-off seat information corresponding to any stop site includes: the drop-off location is the occupant of the stop site Seat information;
  • the getting off seat information corresponding to the stopping station give a getting off prompt; and/or, through the broadcast of the transportation means, according to the getting off the car corresponding to the stopping station The seat information is prompted to get off the bus.
  • the first getting off prompt module 34 is used to:
  • the display screen corresponding to the driver of the vehicle Through the display screen corresponding to the driver of the vehicle, display the alighting seat map according to the alighting seat information of the upcoming or currently arriving stop, where the alighting location is highlighted in the alighting seat map It is the seat of the occupant of the stopping station that is about to arrive or is currently arriving.
  • it also includes:
  • the first detection module is used to detect whether all the occupants who got off the bus at the current stop station have got off the bus;
  • the second disembarkation prompt module is used to respond to the detection that the disembarkation location is the currently arriving stop station and the occupants have disembarked, and prompt the currently arriving stop station through the display screen corresponding to the driver of the vehicle
  • the disembarkation is completed; and/or, in response to detecting that there is an occupant whose disembarkation location is the currently-arriving stop station that has not gotten At least one of the display screen corresponding to the seat, the vibration module corresponding to the seat of the occupant, the display screen corresponding to the driver of the vehicle, and the broadcast of the vehicle, prompting to get off.
  • the device further includes a pick-up prompt module for:
  • the device further includes:
  • the second detection module is configured to detect whether the occupant is wearing a seat belt based on the internal image after detecting that the occupant is seated;
  • the seat belt prompting module is used to respond to detecting that the occupant is not wearing a seat belt, and perform seat belt prompting according to the seat information of the occupant.
  • the seat belt prompt module is used to:
  • the vibration module corresponding to the occupant’s seat Through at least one of the display screen corresponding to the occupant’s seat, the vibration module corresponding to the occupant’s seat, the display screen corresponding to the driver of the vehicle, and the broadcast of the vehicle, according to the occupant’s Seat information, carry out seat belt reminder.
  • the second detection module is used to:
  • the internal image is input to a first neural network, and the seat belt wearing result of the occupant is output via the first neural network, wherein the first neural network adopts preset colors and/or preset patterns in advance
  • the image sample of the seat belt was trained.
  • the device further includes:
  • a living body detection module for performing living body detection based on the internal image after the vehicle is turned off, or after the vehicle is turned off and the door is closed;
  • the remaining occupant prompt module is used to prompt the traffic through at least one of the display screen corresponding to the driver of the vehicle, the broadcast of the vehicle, and the lights of the vehicle in response to the detection of a living body There is a leftover occupant in the tool, and/or, the leftover occupant prompt information is sent to the terminal of the relevant person of the transportation tool.
  • the device further includes a display module for:
  • the display screen corresponding to the seat of the occupant displays the welcome message for the occupant according to the identity information of the occupant.
  • the device further includes:
  • the driver detection module is used to collect the image of the driver of the vehicle, and based on the image of the driver, perform fatigue state detection and/or negative emotion detection on the driver to obtain the driver's corresponding Fatigue status test results and/or negative emotion test results;
  • the storage module is used to store and process the fatigue state detection result and/or the negative emotion detection result corresponding to the driver.
  • the identity information of the occupant is determined, and the image inside the vehicle is collected based on the image of the inside.
  • Determine the seat information of the occupant determine the occupant’s alighting location based on the occupant’s identity information, and perform alighting reminder based on the occupant’s alighting location and seat information, thereby enabling targeted Prompt the occupants to get off, which can effectively remind the occupants to get off at the correct stop. For example, in the school bus commute, children sometimes forget to get off the bus because they are young because they are sleeping or wandering.
  • the embodiments of the present disclosure can reduce costs and improve efficiency.
  • a vehicle control device including:
  • the second determining module is used to collect the image inside the vehicle, and determine the seat information of the occupant of the vehicle based on the internal image;
  • the second detection module is configured to detect whether the occupant is wearing a seat belt based on the internal image after detecting that the occupant is seated;
  • the seat belt prompting module is used to respond to detecting that the occupant is not wearing a seat belt, and perform seat belt prompting according to the seat information of the occupant.
  • the second detection module is used to:
  • the internal image is input to a first neural network, and the seat belt wearing result of the occupant is output via the first neural network, wherein the first neural network adopts preset colors and/or preset patterns in advance
  • the image sample of the seat belt was trained.
  • the seat belt reminder is performed according to the seat information of the occupant, thereby the seat belt reminder can be performed in a targeted manner, so that the occupant can be effectively reminded to wear the seat belt.
  • the seat belt reminder can be performed according to the seat information of the occupant, thereby the seat belt reminder can be performed in a targeted manner, so that the occupant can be effectively reminded to wear the seat belt.
  • students who take a school bus by providing seat belt reminders based on the student's seat information, students can be effectively reminded to wear seat belts, thereby improving the safety of school bus commuting.
  • the functions or modules contained in the device provided in the embodiments of the present disclosure can be used to execute the methods described in the above method embodiments.
  • the functions or modules contained in the device provided in the embodiments of the present disclosure can be used to execute the methods described in the above method embodiments.
  • the embodiments of the present disclosure also provide a computer-readable storage medium on which computer program instructions are stored, and the computer program instructions implement the foregoing method when executed by a processor.
  • the computer-readable storage medium may be a non-volatile computer-readable storage medium, or may be a volatile computer-readable storage medium.
  • the embodiment of the present disclosure also proposes a computer program, including computer readable code, when the computer readable code runs in an electronic device, the processor in the electronic device executes to implement the above method.
  • the embodiments of the present disclosure also provide a computer program product for storing computer-readable instructions, which when executed, cause the computer to execute the operations of the vehicle control method provided in any of the foregoing embodiments.
  • An embodiment of the present disclosure also provides an electronic device, including: one or more processors; a memory for storing executable instructions; wherein the one or more processors are configured to call the executable stored in the memory Instructions to perform the above method.
  • the electronic device can be provided as a terminal, server or other form of device.
  • FIG. 4 shows a block diagram of an electronic device 800 provided by an embodiment of the present disclosure.
  • the electronic device 800 may be a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and other terminals.
  • the electronic device 800 may include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, and a sensor component 814 , And communication component 816.
  • the processing component 802 generally controls the overall operations of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • the processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the foregoing method.
  • the processing component 802 may include one or more modules to facilitate the interaction between the processing component 802 and other components.
  • the processing component 802 may include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.
  • the memory 804 is configured to store various types of data to support operations in the electronic device 800. Examples of these data include instructions for any application or method operating on the electronic device 800, contact data, phone book data, messages, pictures, videos, etc.
  • the memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable and Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic Disk or Optical Disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EPROM erasable and Programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Magnetic Disk Magnetic Disk or Optical Disk.
  • the power supply component 806 provides power for various components of the electronic device 800.
  • the power supply component 806 may include a power management system, one or more power supplies, and other components associated with the generation, management, and distribution of power for the electronic device 800.
  • the multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touch, sliding, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure related to the touch or slide operation.
  • the multimedia component 808 includes a front camera and/or a rear camera. When the electronic device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 810 is configured to output and/or input audio signals.
  • the audio component 810 includes a microphone (MIC), and when the electronic device 800 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external audio signal.
  • the received audio signal may be further stored in the memory 804 or transmitted via the communication component 816.
  • the audio component 810 further includes a speaker for outputting audio signals.
  • the I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module.
  • the above-mentioned peripheral interface module may be a keyboard, a click wheel, a button, and the like. These buttons may include but are not limited to: home button, volume button, start button, and lock button.
  • the sensor component 814 includes one or more sensors for providing the electronic device 800 with various aspects of state evaluation.
  • the sensor component 814 can detect the on/off status of the electronic device 800 and the relative positioning of the components.
  • the component is the display and the keypad of the electronic device 800.
  • the sensor component 814 can also detect the electronic device 800 or the electronic device 800.
  • the position of the component changes, the presence or absence of contact between the user and the electronic device 800, the orientation or acceleration/deceleration of the electronic device 800, and the temperature change of the electronic device 800.
  • the sensor component 814 may include a proximity sensor configured to detect the presence of nearby objects when there is no physical contact.
  • the sensor component 814 may also include a light sensor, such as a complementary metal oxide semiconductor (CMOS) or charge coupled device (CCD) image sensor, for use in imaging applications.
  • CMOS complementary metal oxide semiconductor
  • CCD charge coupled device
  • the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • the communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices.
  • the electronic device 800 can access wireless networks based on communication standards, such as wireless networks (Wi-Fi), second-generation mobile communication technology (2G), third-generation mobile communication technology (3G), and fourth-generation mobile communication technology (4G). )/Long Term Evolution (LTE) of Universal Mobile Communication Technology, Fifth Generation Mobile Communication Technology (5G), or a combination thereof.
  • the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communication component 816 further includes a near field communication (NFC) module to facilitate short-range communication.
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field-available A programmable gate array (FPGA), controller, microcontroller, microprocessor, or other electronic components are implemented to implement the above methods.
  • ASIC application-specific integrated circuits
  • DSP digital signal processors
  • DSPD digital signal processing devices
  • PLD programmable logic devices
  • FPGA field-available A programmable gate array
  • controller microcontroller, microprocessor, or other electronic components are implemented to implement the above methods.
  • a non-volatile computer-readable storage medium such as a memory 804 including computer program instructions, which can be executed by the processor 820 of the electronic device 800 to complete the foregoing method.
  • the present disclosure may be a system, method and/or computer program product.
  • the computer program product may include a computer-readable storage medium loaded with computer-readable program instructions for enabling a processor to implement various aspects of the present disclosure.
  • the computer-readable storage medium may be a tangible device that can hold and store instructions used by the instruction execution device.
  • the computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing.
  • Non-exhaustive list of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) Or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical encoding device, such as a printer with instructions stored thereon
  • RAM random access memory
  • ROM read-only memory
  • EPROM erasable programmable read-only memory
  • flash memory flash memory
  • SRAM static random access memory
  • CD-ROM compact disk read-only memory
  • DVD digital versatile disk
  • memory stick floppy disk
  • mechanical encoding device such as a printer with instructions stored thereon
  • the computer-readable storage medium used here is not interpreted as a transient signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (for example, light pulses through fiber optic cables), or through wires Transmission of electrical signals.
  • the computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to various computing/processing devices, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and/or a wireless network.
  • the network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers.
  • the network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network, and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing/processing device .
  • the computer program instructions used to perform the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, status setting data, or in one or more programming languages.
  • Source code or object code written in any combination, the programming language includes object-oriented programming languages such as Smalltalk, C++, etc., and conventional procedural programming languages such as "C" language or similar programming languages.
  • Computer-readable program instructions can be executed entirely on the user's computer, partly on the user's computer, executed as a stand-alone software package, partly on the user's computer and partly executed on a remote computer, or entirely on the remote computer or server implement.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to connect to the user's computer) connect).
  • LAN local area network
  • WAN wide area network
  • an electronic circuit such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), can be personalized by using the status information of the computer-readable program instructions.
  • FPGA field programmable gate array
  • PDA programmable logic array
  • the computer-readable program instructions are executed to realize various aspects of the present disclosure.
  • These computer-readable program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine that makes these instructions when executed by the processor of the computer or other programmable data processing device , A device that implements the functions/actions specified in one or more blocks in the flowchart and/or block diagram is produced. It is also possible to store these computer-readable program instructions in a computer-readable storage medium. These instructions make computers, programmable data processing apparatuses, and/or other devices work in a specific manner, so that the computer-readable medium storing the instructions includes An article of manufacture, which includes instructions for implementing various aspects of the functions/actions specified in one or more blocks in the flowcharts and/or block diagrams.
  • each block in the flowchart or block diagram can represent a module, program segment, or part of an instruction, and the module, program segment, or part of an instruction contains one or more components for realizing the specified logical function.
  • Executable instructions can be included in the blocks in the flowchart or block diagram.
  • the functions marked in the block may also occur in a different order from the order marked in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, or they can sometimes be executed in the reverse order, depending on the functions involved.
  • each block in the block diagram and/or flowchart, and the combination of the blocks in the block diagram and/or flowchart can be implemented by a dedicated hardware-based system that performs the specified functions or actions Or it can be realized by a combination of dedicated hardware and computer instructions.
  • the computer program product can be specifically implemented by hardware, software, or a combination thereof.
  • the computer program product is specifically embodied as a computer storage medium.
  • the computer program product is specifically embodied as a software product, such as a software development kit (SDK), etc. Wait.
  • SDK software development kit

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Abstract

一种交通工具的控制方法及装置、电子设备和存储介质。所述方法包括：采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息（S11); 采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息（S12; 根据所述乘员的身份信息，确定所述乘员的下车地点（S13); 根据所述乘员的下车地点和座位信息，进行下车提示（S14）。

Description

交通工具的控制方法及装置、电子设备和存储介质
本申请要求在2020年6月23日提交中国专利局、申请号为202010582762.2、申请名称为“交通工具的控制方法及装置、电子设备和存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本公开涉及交通技术领域，尤其涉及一种交通工具的控制方法及装置、电子设备和存储介质。
背景技术
对于中小学生而言，在校有老师监管，在家有家长监护，家与学校之间的通勤方式主要是家长亲自接送，或者小朋友单独或结伴上下学。家长接送的方式的效率较低，而小朋友单独或结伴上下学的方式的安全性难以保障。为此，很多学校开设了校车服务。如果校车缺乏合理的管理，则会造成监护的盲区。
发明内容
本公开提供了一种交通工具的控制技术方案。
根据本公开的一方面，提供了一种交通工具的控制方法，包括：
采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息；
采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息；
根据所述乘员的身份信息，确定所述乘员的下车地点；
根据所述乘员的下车地点和座位信息，进行下车提示。
在一种可能的实现方式中，所述根据所述乘员的身份信息，确定所述乘员的下车地点，包括：
根据所述乘员的身份信息以及当前时间，确定所述乘员的下车地点。
在一种可能的实现方式中，
所述交通工具中安装有与座位对应的显示屏；
所述根据所述乘员的下车地点和座位信息，进行下车提示，包括：根据所述乘员的座位信息，确定所述乘员的座位对应的显示屏；通过所述乘员的座位对应的显示屏，根据所述乘员的下车地点进行下车提示。
在一种可能的实现方式中，
所述交通工具中的显示屏与座位一一对应；
或者，
所述交通工具中的显示屏与座位区域一一对应，其中，任一座位区域包括至少一个座位。
在一种可能的实现方式中，
所述交通工具中安装有与座位一一对应的震动模块；
所述根据所述乘员的下车地点和座位信息，进行下车提示，包括：根据所述乘员的座位信息，确定所述乘员的座位对应的震动模块；根据所述乘员的下车地点，控制所述乘员的座位对应的震动模块 震动。
在一种可能的实现方式中，所述根据所述乘员的下车地点和座位信息，进行下车提示，包括：
根据所述乘员的下车地点和座位信息，确定所述交通工具的停靠站点对应的下车座位信息，其中，任一停靠站点对应的下车座位信息包括：下车地点为该停靠站点的乘员的座位信息；
通过所述交通工具的驾驶员对应的显示屏，根据所述停靠站点对应的下车座位信息进行下车提示；和/或，通过所述交通工具的广播，根据所述停靠站点对应的下车座位信息进行下车提示。
在一种可能的实现方式中，所述通过所述交通工具的驾驶员对应的显示屏，根据所述停靠站点对应的下车座位信息进行下车提示，包括：
通过所述交通工具的驾驶员对应的显示屏，根据即将到达或当前到达的停靠站点的下车座位信息，显示下车座位图，其中，在所述下车座位图中，突出显示下车地点为即将到达或当前到达的停靠站点的乘员的座位。
在一种可能的实现方式中，还包括：
检测下车地点为当前到达的停靠站点的乘员是否均已下车；
响应于检测到下车地点为所述当前到达的停靠站点的乘员均已下车，通过所述交通工具的驾驶员对应的显示屏，提示当前到达的停靠站点已下车完成；和/或，响应于检测到存在下车地点为所述当前到达的停靠站点的乘员未下车，通过下车地点为所述当前到达的停靠站点且未下车的乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，进行下车提示。
在一种可能的实现方式中，在所述确定所述乘员的下车地点之后，所述方法还包括：
响应于当前时间属于放学时间，且所述交通工具即将到达所述乘员的下车地点，向所述乘员对应的家长终端发送接送信息；
和/或，
响应于当前时间属于上学时间，且所述交通工具即将到达任一乘员的上车地点，向所述乘员对应的家长终端发送接送信息。
在一种可能的实现方式中，在所述采集所述交通工具内部的图像之后，所述方法还包括：
在检测到所述乘员落座后，基于所述内部的图像，检测所述乘员是否佩戴安全带；
响应于检测到所述乘员未佩戴安全带，根据所述乘员的座位信息，进行安全带提示。
在一种可能的实现方式中，所述根据所述乘员的座位信息，进行安全带提示，包括：
通过所述乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，根据所述乘员的座位信息，进行安全带提示。
在一种可能的实现方式中，所述基于所述内部的图像，检测所述乘员是否佩戴安全带，包括：
将所述内部的图像输入第一神经网络，经由所述第一神经网络输出所述乘员的安全带佩戴结果，其中，所述第一神经网络是预先采用包含预设颜色和/或预设图案的安全带的图像样本训练的。
在一种可能的实现方式中，所述方法还包括：
在所述交通工具熄火后，或者，在所述交通工具熄火且车门关闭后，基于所述内部的图像进行活体检测；
响应于检测到活体，通过所述交通工具的驾驶员对应的显示屏、所述交通工具的广播、所述交通 工具的车灯中的至少之一，提示所述交通工具中存在遗留乘员，和/或，向所述交通工具的相关人员的终端发送遗留乘员提示信息。
在一种可能的实现方式中，所述方法还包括：
在所述乘员进入所述交通工具时，通过所述交通工具的上车处的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息；
和/或，
在所述乘员落座后，通过所述乘员的座位对应的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息。
在一种可能的实现方式中，所述方法还包括：
采集所述交通工具的驾驶员的图像，并基于所述驾驶员的图像，对所述驾驶员进行疲劳状态检测和/或负面情绪检测，得到所述驾驶员对应的疲劳状态检测结果和/或负面情绪检测结果；
对所述驾驶员对应的疲劳状态检测结果和/或负面情绪检测结果进行存储处理。
根据本公开的一方面，提供了一种交通工具的控制方法，包括：
采集所述交通工具内部的图像，并基于所述内部的图像，确定所述交通工具的乘员的座位信息；
在检测到所述乘员落座后，基于所述内部的图像，检测所述乘员是否佩戴安全带；
响应于检测到所述乘员未佩戴安全带，根据所述乘员的座位信息，进行安全带提示。
通过根据乘员的座位信息进行安全带提示，由此能够针对性地进行安全带提示，从而能够有效提醒乘员佩戴安全带。例如，对于搭乘校车的学生，通过根据学生的座位信息进行安全带提示，能够有效提醒学生佩戴安全带，从而能够提高校车通勤的安全性。
在一种可能的实现方式中，所述基于所述内部的图像，检测所述乘员是否佩戴安全带，包括：
将所述内部的图像输入第一神经网络，经由所述第一神经网络输出所述乘员的安全带佩戴结果，其中，所述第一神经网络是预先采用包含预设颜色和/或预设图案的安全带的图像样本训练的。
在该实现方式中，通过第一神经网络进行安全带检测，能够提高安全带检测的精度，降低安全带检测的成本。
根据本公开的一方面，提供了一种交通工具的控制装置，包括：
第一确定模块，用于采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息；
第二确定模块，用于采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息；
第三确定模块，用于根据所述乘员的身份信息，确定所述乘员的下车地点；
第一下车提示模块，用于根据所述乘员的下车地点和座位信息，进行下车提示。
根据本公开的一方面，提供了一种电子设备，包括：一个或多个处理器；用于存储可执行指令的存储器；其中，所述一个或多个处理器被配置为调用所述存储器存储的可执行指令，以执行上述方法。
根据本公开的一方面，提供了一种计算机可读存储介质，其上存储有计算机程序指令，所述计算机程序指令被处理器执行时实现上述方法。
根据本公开的一方面，提供了一种计算机程序，包括计算机可读代码，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行用于实现上述方法。
在本公开实施例中，通过采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息，采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息，根据所述乘员的身份信息，确定所述乘员的下车地点，并根据所述乘员的下车地点和座位信息，进行下车提示，由此能够针对性地对乘员进行下车提示，从而能够有效提醒乘员在正确的停靠站点下车。例如，在校车通勤中，小朋友因为年纪小，有时会因为睡觉或者走神忘记定点下车。通过采用本公开实施例，能够有效提醒乘坐校车的学生在正确的停靠站点下车，大大降低下错车或者忘记下车的概率。与相关技术中通过人力来进行下车提醒的校车管理方式相比，本公开实施例能够降低成本、提高效率。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，而非限制本公开。
根据下面参考附图对示例性实施例的详细说明，本公开的其它特征及方面将变得清楚。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，这些附图示出了符合本公开的实施例，并与说明书一起用于说明本公开的技术方案。
图1示出本公开实施例提供的交通工具的控制方法的流程图。
图2示出了本公开实施例中的下车座位图的示意图。
图3示出本公开实施例提供的交通工具的控制装置的框图。
图4示出本公开实施例提供的一种电子设备800的框图。
具体实施方式
以下将参考附图详细说明本公开的各种示例性实施例、特征和方面。附图中相同的附图标记表示功能相同或相似的元件。尽管在附图中示出了实施例的各种方面，但是除非特别指出，不必按比例绘制附图。
在这里专用的词“示例性”意为“用作例子、实施例或说明性”。这里作为“示例性”所说明的任何实施例不必解释为优于或好于其它实施例。
本文中术语“和/或”，仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中术语“至少一种”表示多种中的任意一种或多种中的至少两种的任意组合，例如，包括A、B、C中的至少一种，可以表示包括从A、B和C构成的集合中选择的任意一个或多个元素。
另外，为了更好地说明本公开，在下文的具体实施方式中给出了众多的具体细节。本领域技术人员应当理解，没有某些具体细节，本公开同样可以实施。在一些实例中，对于本领域技术人员熟知的方法、手段、元件和电路未作详细描述，以便于凸显本公开的主旨。
图1示出本公开实施例提供的交通工具的控制方法的流程图。所述交通工具的控制方法的执行主体可以是交通工具的控制装置。例如，所述交通工具的控制装置可以安装在交通工具上。例如，所述交通工具的控制方法可以由终端设备或其它处理设备执行。其中，终端设备可以是用户设备(User Equipment，UE)、移动设备、用户终端、终端、蜂窝电话、无绳电话、个人数字助理(Personal Digital Assistant，PDA)、手持设备、计算设备或者车载设备等。在一些可能的实现方式中，所述交通工具的控制方法可以通过处理器调用存储器中存储的计算机可读指令的方式来实现。如图1所示，所述交通 工具的控制方法包括步骤S11至步骤S14。
在步骤S11中，采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息。
在本公开实施例中，交通工具可以是用于通勤的交通工具，例如可以是校车、班车等，也可以是其他公共交通工具或者私人交通工具，例如网约车、公交车等。交通工具的乘员可以表示搭乘交通工具的人员。
在本公开实施例中，在交通工具上设置有摄像头。其中，所述摄像头可以包括RGB(Red，红；Green，绿；Blue，蓝)摄像头、RGBD(Red，红；Green，绿；Blue，蓝；Depth，深度)摄像头、双目红外摄像头和红外热成像摄像模块等中的一种或两种以上。通过采用双目红外摄像头或者RGBD摄像头等，能够实现活体检测的功能。
在一种可能的实现方式中，可以在检测到人体靠近摄像头时，经摄像头采集交通工具的乘员的人脸图像。例如，可以在所述摄像头的附近设置距离传感器或者热释电红外传感器，以通过距离传感器或者热释电红外传感器等检测是否有人体靠近摄像头。在另一种可能的实现方式中，可以通过摄像头持续采集图像，并对采集到的图像进行人脸检测，以判断是否采集到人脸图像。
在本公开实施例中，可以预先存储交通工具的乘员的人脸信息与身份信息之间的对应关系。其中，乘员的人脸信息可以包括乘员的人脸照片，和/或从乘员的人脸照片中提取的人脸特征。乘员的身份信息可以表示能够用于唯一确定乘员的身份的信息。例如，乘员的身份信息可以包括乘员的姓名、身份证号、编号等中的至少之一。
在本公开实施例中，可以通过所述交通工具的上车处(例如上车门的门上或门边、上下车刷卡器的位置等)的摄像头，采集所述交通工具的乘员的人脸图像，或者，可以通过所述交通工具的内部的摄像头，采集所述交通工具的乘员的人脸图像。通过将所采集的乘员的人脸图像，与预先存储的人脸信息进行比对，可以确定所述乘员的身份信息。在一种可能的实现方式中，可以通过第二神经网络提取所述人脸图像中的人脸特征，再将所述人脸特征与预先存储的人脸特征进行比对，根据比对结果确定所述人脸图像对应的身份信息(即所述乘员的身份信息)。其中，第二神经网络可以基于带有人脸关键点标注信息的人脸图像集预先训练，以使所述第二神经网络学习到人脸定位及提取人脸特征的能力。其中，人脸关键点可以包括额、眼、眉、口、鼻、脸型轮廓等部位的关键点。人脸关键点的数量可以为21个、106个或者240个等。本公开实施例不对第二神经网络的结构进行限定，例如可包括但不限于反向传播(Back Propagation，BP)神经网络、卷积神经网络、径向基函数(Radial Basis Function，RBF)神经网络、感知器神经网络、线性神经网络、反馈神经网络等。
在一种可能的实现方式中，可以存储所述交通工具的乘员的身份信息以及搭乘时间，以供后续对所述交通工具的乘员的搭乘情况进行分析。其中，搭乘时间可以包括进入所述交通工具的时间和/或离开所述交通工具的时间。例如，可以在所述交通工具的存储器中存储所述交通工具的乘员的身份信息以及搭乘时间。又如，可以将所述交通工具的乘员的身份信息以及搭乘时间发送至服务端，以由服务端存储所述交通工具的乘员的身份信息以及搭乘时间。
在一种可能的实现方式中，在检测到所述乘员进入所述交通工具之后，可以向所述乘员对应的家长终端(即家长的终端)发送上车提醒信息，以提示所述乘员的家长所述乘员已上车。例如，所述交通工具的校车，所述乘员是学生，在检测到学生进入校车后，可以向该学生对应的家长终端发送上车 提醒信息，以提示家长该学生已上车，从而方便家长远程监控孩子搭乘校车的情况。
在一种可能的实现方式中，在检测到所述乘员进入所述交通工具之后，可以将所述乘员对应的上车信息发送至服务端，所述乘员的家长可以通过APP(应用)查看所述乘员的上车记录。其中，所述乘员对应的上车信息可以包括所述乘员的身份信息和所述乘员的上车时间。
在步骤S12中，采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息。
在本公开实施例中，可以在所述交通工具内部安装至少一个摄像头，例如，可以在所述交通工具的内部安装多个摄像头，以采集所述交通工具内部的图像。例如，所述交通工具为校车，可以在校车内四周都安装摄像头，以采集到处于校车内各个位置或者至少部分位置的学生的图像。
在本公开实施例中，任一乘员的座位信息可以是能够唯一确定该乘员的座位的信息。例如，座位信息可以是座位号等。
在一种可能的实现方式中，可以根据所述交通工具内部的图像和/或视频流，跟踪乘员在交通工具内部的移动轨迹，并根据乘员在交通工具内部的移动轨迹，确定所述乘员的座位信息。
在另一种可能的实现方式中，可以在检测到所述乘员落座后，根据所述交通工具内部的图像对所述乘员所在的位置进行分析，以确定所述乘员的座位信息。
在步骤S13中，根据所述乘员的身份信息，确定所述乘员的下车地点。
在本公开实施例中，可以预先存储乘员的身份信息与下车地点之间的对应关系。在本公开实施例中，任一乘员可以对应于至少一个下车地点。例如，任一乘员的下车地点可以包括该乘员的家庭住址和学校地址，或者，任一乘员的下车地点可以包括与该乘员的家庭住址最近的停靠站点，以及与该乘员的学校地址最近的停靠站点。又如，任一乘员的下车地点可以包括该乘员的家庭住址和单位地址，或者，任一乘员的下车地点可以包括与该乘员的家庭住址最近的停靠站点，以及与该乘员的单位地址最近的停靠站点。在本公开实施例中，可以根据预先存储的乘员的身份信息与下车地点之间的对应关系，确定所述乘员的下车地点。
在一种可能的实现方式中，所述根据所述乘员的身份信息，确定所述乘员的下车地点，包括：根据所述乘员的身份信息以及当前时间，确定所述乘员的下车地点。在该实现方式中，同一乘员在不同时间的下车地点可能不同。例如，所述交通工具是校车，所述乘员是学生，若当前时间属于上学时间段，则可以确定乘员的下车地点是学校地址，若当前时间属于放学时间段，则可以确定乘员的下车地点是家庭住址。在该实现方式中，通过根据所述乘员的身份信息以及当前时间确定所述乘员的下车地点，从而能够在不同时间段准确确定所述乘员的下车地点。在另一种可能的实现方式中，在所述乘员对应的下车地点仅有一个的情况下，可以直接根据所述乘员的身份信息确定所述乘员的下车地点，而无需结合当前时间进行确定。
在步骤S14中，根据所述乘员的下车地点和座位信息，进行下车提示。
在本公开实施例中，可以在所述交通工具即将到达所述乘员的下车地点对应的停靠站点时，和/或在所述交通工具已到达所述乘员的下车地点对应的停靠站点时，进行下车提示，以提示乘员注意下车。其中，用于进行下车提示的提示信息可以包含即将到达或已到达停靠站点的乘员的座位信息，或者可以向安装在即将到达或已到达停靠站点的乘员的座位处的提示信息输出设备进行下车提示。
在本公开实施例中，可以经设置于所述交通工具的发声模块、显示模块、震动模块和发光模块中 的一项或两项以上进行下车提示。例如，所述发声模块可以包括扬声器等，所述显示模块可以包括显示屏等，所述震动模块可以包括震动器等，所述发光模块可以包括LED(Light Emitting Diode，发光二极管)等。例如，可以通过发声模块发出“下一站是XX站，请XX座位的乘员注意下车”的语音。又如，可以通过显示模块显示“下一站是XX站，请XX座位的乘员注意下车”的文字信息。又如，可以在所述交通工具即将到达所述乘员的下车地点对应的停靠站点时，和/或在所述交通工具已到达所述乘员的下车地点对应的停靠站点时，通过控制设置在所述乘员的座位前方或者附近的发光模块发光，以提示所述乘员注意下车。
在本公开实施例中，通过采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息，采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息，根据所述乘员的身份信息，确定所述乘员的下车地点，并根据所述乘员的下车地点和座位信息，进行下车提示，由此能够针对性地对乘员进行下车提示，从而能够有效提醒乘员在正确的停靠站点下车。例如，在校车通勤中，小朋友因为年纪小，有时会因为睡觉或者走神忘记定点下车。通过采用本公开实施例，能够有效提醒乘坐校车的学生在正确的停靠站点下车，大大降低下错车或者忘记下车的概率。与相关技术中通过人力来进行下车提醒的校车管理方式相比，本公开实施例能够降低成本、提高效率。
在一种可能的实现方式中，所述交通工具中安装有与座位对应的显示屏；所述根据所述乘员的下车地点和座位信息，进行下车提示，包括：根据所述乘员的座位信息，确定所述乘员的座位对应的显示屏；通过所述乘员的座位对应的显示屏，根据所述乘员的下车地点进行下车提示。
在该实现方式中，所述乘员的座位对应的显示屏是根据所述乘员的座位信息确定的，例如，可以是设置在所述乘员的座位前方或附近的显示屏。在该实现方式中，可以在所述交通工具即将到达所述乘员的下车地点对应的停靠站点时，和/或在所述交通工具已到达所述乘员的下车地点对应的停靠站点时，通过所述乘员的座位对应的显示屏，进行下车提示。
在该实现方式中，通过根据所述乘员的座位信息，确定所述乘员的座位对应的显示屏，并通过所述乘员的座位对应的显示屏，根据所述乘员的下车地点进行下车提示，由此能够通过所述乘员的座位对应的显示屏针对性地对乘员进行下车提示，从而能够有效提醒乘员在正确的停靠站点下车。
作为该实现方式的一个示例，所述交通工具中的显示屏与座位一一对应。在该示例中，任一座位对应的显示屏可以设置在该座位的前方或者附近。例如，可以在每个座位的前方分别设置显示屏。通过与乘员的座位一一对应的显示屏，根据所述乘员的下车地点进行下车提示，由此能够通过所述乘员的座位对应的显示屏针对性地对乘员进行下车提示。
作为该实现方式的另一个示例，所述交通工具中的显示屏与座位区域一一对应，其中，任一座位区域包括至少一个座位。在该示例，座位与显示屏可以是多对一的关系，例如，可以在相邻的多个座位的前方设置显示屏。根据该示例，能够在针对性地对乘员进行下车提示的前提下，降低在所述交通工具中设置显示屏的成本，以及减少显示屏在所述交通工具中所占的总空间。
在一种可能的实现方式中，所述交通工具中安装有与座位一一对应的震动模块；所述根据所述乘员的下车地点和座位信息，进行下车提示，包括：根据所述乘员的座位信息，确定所述乘员的座位对应的震动模块；根据所述乘员的下车地点，控制所述乘员的座位对应的震动模块震动。
在该实现方式中，任一座位对应的震动模块可以安装在该座位的座椅上或者靠背上等。在该实现方式中，可以在所述交通工具即将到达所述乘员的下车地点对应的停靠站点时，和/或在所述交通工 具已到达所述乘员的下车地点对应的停靠站点时，控制所述乘员的座位对应的震动模块震动。通过所述乘员的座位对应的震动模块针对性地对乘员进行下车提示，从而能够有效提醒乘员在正确的停靠站点下车，例如，可以有效提醒睡着的乘员及时下车。
在一种可能的实现方式中，所述根据所述乘员的下车地点和座位信息，进行下车提示，包括：根据所述乘员的下车地点和座位信息，确定所述交通工具的停靠站点对应的下车座位信息，其中，任一停靠站点对应的下车座位信息包括：下车地点为该停靠站点的乘员的座位信息；通过所述交通工具的驾驶员对应的显示屏，根据所述停靠站点对应的下车座位信息进行下车提示；和/或，通过所述交通工具的广播，根据所述停靠站点对应的下车座位信息进行下车提示。
在该实现方式中，根据乘员的座位信息与下车地点之间的对应关系，以及停靠站点与下车地点之间的对应关系，可以确定停靠站点与座位信息之间的对应关系，从而得到不同停靠站点对应的下车座位信息。在该实现方式中，驾驶员对应的显示屏可以设置在驾驶座的附近，例如可以设置在中控台上。
例如，在所述交通工具即将到达某一停靠站点时，可以通过所述交通工具的驾驶员对应的显示屏显示“下一站是XX站，请注意XX座位、XX座位、XX座位的乘员是否下车”的文字信息。又如，在所述交通工具已到达某一停靠站点时，可以通过所述交通工具的驾驶员对应的显示屏显示“XX站已到达，请注意XX座位、XX座位、XX座位的乘员是否下车”的文字信息。
例如，在所述交通工具即将到达某一停靠站点时，可以通过所述交通工具的广播播放“下一站是XX站，请XX座位、XX座位、XX座位的乘员注意下车”的语音。又如，在所述交通工具已到达某一停靠站点时，可以通过所述交通工具的广播播放“XX站已到达，请XX座位、XX座位、XX座位的乘员注意下车”的语音。
在该实现方式中，通过所述交通工具的驾驶员对应的显示屏，根据所述停靠站点对应的下车座位信息进行下车提示，由此能够提醒驾驶员在每个停靠站点注意下车地点为该停靠站点的乘员是否均已下车以及是否有乘员下错车，从而能够降低乘员下错车或者忘记下车的概率。通过所述交通工具的广播，根据所述停靠站点对应的下车座位信息进行下车提示，由此交通工具内的所有人员均能听到下车提示，若下车地点为当前到达的停靠站点的乘员未下车(例如因睡着而没有看到或听到下车提示)，则其他乘员(例如该乘员附近的乘员)可以提醒该乘员下车，从而能够降低乘员下错车或者忘记下车的概率。
作为该实现方式的一个示例，所述通过所述交通工具的驾驶员对应的显示屏，根据所述停靠站点对应的下车座位信息进行下车提示，包括：通过所述交通工具的驾驶员对应的显示屏，根据即将到达或当前到达的停靠站点的下车座位信息，显示下车座位图，其中，在所述下车座位图中，突出显示下车地点为即将到达或当前到达的停靠站点的乘员的座位。
在该示例中，下车地点为即将到达或当前到达的停靠站点的乘员的座位的显示方式，与下车地点不为即将到达或当前到达的停靠站点的乘员的座位的显示方式不同，以突出显示下车地点为即将到达或当前到达的停靠站点的乘员的座位。例如，可以通过在下车座位图中放大下车地点为即将到达或当前到达的停靠站点的乘员的座位的座位号、在下车地点为即将到达或当前到达的停靠站点的乘员的座位上增加图标、给下车地点为即将到达或当前到达的停靠站点的乘员的座位增加动态的边框等方式，突出显示下车地点为即将到达或当前到达的停靠站点的乘员的座位。图2示出了本公开实施例中的下车座位图的示意图。如图2所示，下车地点为即将到达或当前到达的停靠站点的乘员的座位是3和6， 则在下车座位图中，座位3和座位6的显示方式可以与其他座位不同，以突出显示座位3和座位6。
在该示例中，通过所述交通工具的驾驶员对应的显示屏，根据即将到达或当前到达的停靠站点的下车座位信息，显示下车座位图，其中，在所述下车座位图中，突出显示下车地点为即将到达或当前到达的停靠站点的乘员的座位，由此能够方便驾驶员直观地确定下车地点为即将到达或当前到达的停靠站点的乘员的座位，驾驶员根据下车座位图，能够确定下车地点为该停靠站点的乘员是否均已下车以及是否有乘员下错车，从而能够降低乘员下错车或者忘记下车的概率。
在一种可能的实现方式中，所述方法还包括：检测下车地点为当前到达的停靠站点的乘员是否均已下车；响应于检测到下车地点为所述当前到达的停靠站点的乘员均已下车，通过所述交通工具的驾驶员对应的显示屏，提示当前到达的停靠站点已下车完成；和/或，响应于检测到存在下车地点为所述当前到达的停靠站点的乘员未下车，通过下车地点为所述当前到达的停靠站点且未下车的乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，进行下车提示。
作为该实现方式的一个示例，可以通过采集所述交通工具内部的视频流，跟踪乘员的移动轨迹，从而确定下车地点为所述当前到达的停靠站点的乘员是否均已下车。作为该实现方式的另一个示例，可以根据所述交通工具的下车处的摄像头采集的图像，确定下车地点为所述当前到达的停靠站点的乘员是否均已下车。
在该实现方式中，通过响应于检测到下车地点为所述当前到达的停靠站点的乘员均已下车，通过所述交通工具的驾驶员对应的显示屏，提示当前到达的停靠站点已下车完成，由此能够见减少停车时间，提高交通工作的通勤效率。通过响应于检测到存在下车地点为所述当前到达的停靠站点的乘员未下车，通过下车地点为所述当前到达的停靠站点且未下车的乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，进行下车提示，由此能够进一步降低乘员坐过站的概率。
在一种可能的实现方式中，在检测到所述乘员离开所述交通工具之后，可以向所述乘员对应的家长终端(即家长的终端)发送下车提醒信息，以提示所述乘员的家长所述乘员已下车。例如，所述交通工具的校车，所述乘员是学生，在检测到学生离开校车后，可以向该学生对应的家长终端发送下车提醒信息，以提示家长该学生已下车，从而方便家长远程监控孩子搭乘校车的情况。
在一种可能的实现方式中，在检测到所述乘员离开所述交通工具之后，可以将所述乘员对应的下车信息发送至服务端，所述乘员的家长可以通过APP(应用)查看所述乘员的下车记录。其中，所述乘员对应的下车信息可以包括所述乘员的身份信息和所述乘员的下车时间。
在一种可能的实现方式中，在所述确定所述乘员的下车地点之后，所述方法还包括：响应于当前时间属于放学时间，且所述交通工具即将到达所述乘员的下车地点，向所述乘员对应的家长终端发送接送信息；和/或，响应于当前时间属于上学时间，且所述交通工具即将到达任一乘员的上车地点，向所述乘员对应的家长终端发送接送信息。
在该实现方式中，通过响应于当前时间属于放学时间，且所述交通工具即将到达所述乘员的下车地点，向所述乘员对应的家长终端发送接送信息，由此有助于家长在校车到站之前提前到达停靠站点，从而能够减少学生在停靠站点等家长和/或学生独自回家的情况，有助于提高校车通勤的安全性。通过响应于当前时间属于上学时间，且所述交通工具即将到达任一乘员的上车地点，向所述乘员对应的 家长终端发送接送信息，由此有助于家长和学生在校车到站之前提前到达停靠站点，从而能够减少校车等学生和/或学生错过校车的情况，有助于提高校车的通勤效率。
在一种可能的实现方式中，在学生上学和放学的过程中，还可以将校车的位置信息发送至服务端，家长可以通过终端APP(应用)了解校车大概的到达时间，从而方便家长接送子女。
在一种可能的实现方式中，在所述采集所述交通工具内部的图像之后，所述方法还包括：在检测到所述乘员落座后，基于所述内部的图像，检测所述乘员是否佩戴安全带；响应于检测到所述乘员未佩戴安全带，根据所述乘员的座位信息，进行安全带提示。
在该实现方式中，通过根据乘员的座位信息进行安全带提示，由此能够针对性地进行安全带提示，从而能够有效提醒乘员佩戴安全带。例如，对于搭乘校车的学生，通过根据学生的座位信息进行安全带提示，能够有效提醒学生佩戴安全带，从而能够提高校车通勤的安全性。
作为该实现方式的一个示例，所述根据所述乘员的座位信息，进行安全带提示，包括：通过所述乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，根据所述乘员的座位信息，进行安全带提示。
例如，可以通过乘员的座位对应的显示屏显示“请尽快戴好安全带”的文字信息。又如，可以通过交通工具的驾驶员对应的显示屏显示“请提醒XX座位的乘员佩戴安全带”的文字信息。又如，可以通过交通工具的广播播放“请XX座位的乘员尽快戴好安全带”的语音。
在该示例中，通过所述乘员的座位对应的显示屏，根据所述乘员的座位信息，进行安全带提示，由此能够通过所述乘员的座位对应的显示屏针对性地对乘员进行安全带提示，从而能够有效提醒乘员佩戴安全带。通过所述交通工具的驾驶员对应的显示屏，根据所述乘员的座位信息，进行安全带提示，由此驾驶员能够根据乘员的座位提醒乘员佩戴安全带。通过所述交通工具的广播，根据所述乘员的座位信息，进行安全带提示，由此交通工具内的所有人员均能听到安全带提示，有助于乘员之间互相监督。
作为该实现方式的一个示例，所述基于所述内部的图像，检测所述乘员是否佩戴安全带，包括：将所述内部的图像输入第一神经网络，经由所述第一神经网络输出所述乘员的安全带佩戴结果，其中，所述第一神经网络是预先采用包含预设颜色和/或预设图案的安全带的图像样本训练的。
在该示例中，用于训练第一神经网络的图像样本可以包括佩戴安全带的图像样本和未佩戴安全带的图像样本，其中，佩戴安全带的图像样本中的安全带可以是预设颜色和/或预设图案的安全带。例如，预设颜色可以是较为明显的颜色，预设图案可以是较为明显的图案。在所述交通工具中，也可以采用所述预设颜色和/或所述预设图案的安全带，以提高安全带识别的准确性。
在该示例中，通过第一神经网络进行安全带检测，能够提高安全带检测的精度，降低安全带检测的成本。
在一种可能的实现方式中，所述方法还包括：在所述交通工具熄火后，或者，在所述交通工具熄火且车门关闭后，基于所述内部的图像进行活体检测；响应于检测到活体，通过所述交通工具的驾驶员对应的显示屏、所述交通工具的广播、所述交通工具的车灯中的至少之一，提示所述交通工具中存在遗留乘员，和/或，向所述交通工具的相关人员的终端发送遗留乘员提示信息。
在该实现方式中，可以通过车载通信模块获取交通工具熄火的信息，例如，所述车载通信模块可以包括CAN(Controller Area Network，控制器局域网络)总线模块。
作为该实现方式的一个示例，可以通过第三神经网络对所述内部的图像进行活体检测。其中，所述第三神经网络可以是预先采用带有活体的图像样本和不带有活体的图像样本训练的。
例如，可以响应于检测到活体，通过所述交通工具的驾驶员对应的显示屏显示“请检查是否有乘员未下车”的文字信息。又如，可以响应于检测到活体，通过所述交通工具的广播播放“请检查是否有乘员未下车”的语音。又如，可以响应于检测到活体，控制所述交通工具的车灯闪烁，以提示所述交通工具中存在遗留乘员。又如，可以响应于检测到活体，向交通工具的相关人员(例如驾驶员、负责人等)发送“请返回车内检查是否有乘员未下车”的信息。
在该实现方式中，若检测到交通工具熄火，则可以在很大程度上表明交通工具已到达终点站。通过在所述交通工具熄火后，或者，在所述交通工具熄火且车门关闭后，若基于所述内部的图像进行活体检测检测到活体，则进行遗留乘员提示，从而能够进一步提高交通工具的安全性。例如，在校车到达终点站后，基于校车内部的图像进行活体检测，若检测到活体，则可以通过校车的驾驶员对应的显示屏、校车的广播、校车的车灯中的至少之一，提示校车中存在遗留乘员，和/或，向校车的相关人员(例如校车的驾驶员、学校负责人等)的终端发送遗留乘员提示信息，由此能够进一步提高校车通勤的安全性。
在另一种可能的实现方式中，所述方法还包括：在所述交通工具熄火后，或者，在所述交通工具熄火且车门关闭后，若基于所述交通工具的乘员的上下车记录，确定所述交通工具中存在遗留乘员，则通过所述交通工具的驾驶员对应的显示屏、所述交通工具的广播、所述交通工具的车灯中的至少之一，提示所述交通工具中存在遗留乘员，和/或，向所述交通工具的相关人员的终端发送遗留乘员提示信息。
在一种可能的实现方式中，所述方法还包括：在所述乘员进入所述交通工具时，通过所述交通工具的上车处的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息；和/或，在所述乘员落座后，通过所述乘员的座位对应的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息。例如，欢迎信息可以包括“早上好呀，XX同学”等。
作为该实现方式的一个示例，可以根据所述乘员的身份信息，获取所述乘员的理想的信息，并根据所述乘员的理想，显示针对所述乘员的欢迎信息。例如，某一乘员的理想是成为科学家，则针对该乘员的欢迎信息可以包括“早上好呀，未来的科学家”。
作为该实现方式的一个示例，可以根据所述乘员的身份信息，获取所述乘员喜欢的人物的信息，并通过所述乘员喜欢的人物的形象，显示针对所述乘员的欢迎信息。例如，某一乘员喜欢的人物为人物A，则可以通过所述显示屏显示人物A，通过人物A向该乘员打招呼。
在该实现方式中，通过所述交通工具的上车处的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息，和/或，在所述乘员落座后，通过所述乘员的座位对应的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息，由此能够使乘员获得个性化的搭乘体验。
在一种可能的实现方式中，所述方法还包括：在所述乘员离开所述交通工具时，通过所述交通工具的下车处的显示屏，根据所述乘员的身份信息，显示针对所述乘员的下车问候信息。例如，下车问候信息可以是“XX同学，感谢乘车，下次见”或者“未来的科学家，感谢乘车，下次见”等。
在一种可能的实现方式中，所述方法还包括：采集所述交通工具的驾驶员的图像，并基于所述驾驶员的图像，对所述驾驶员进行疲劳状态检测和/或负面情绪检测，得到所述驾驶员对应的疲劳状态 检测结果和/或负面情绪检测结果；对所述驾驶员对应的疲劳状态检测结果和/或负面情绪检测结果进行存储处理。
在该实现方式中，负面情绪可以包括愤怒、悲伤等情绪。
在该实现方式中，通过对所述驾驶员对应的疲劳状态检测结果和/或负面情绪检测结果进行存储处理，能够帮助后续改进，有助于增强交通工具的驾驶安全。
作为该实现方式的一个示例，所述方法还包括：响应于检测到所述驾驶员处于疲劳状态，提示所述驾驶员靠边休息。例如，可以通过所述驾驶员对应的显示屏和/或所述交通工具的广播，提示所述驾驶员靠边休息。
在一种可能的实现方式中，可以经设置在所述交通工具上的体温测量模块测量所述乘员的体温数据，并建立所述体温数据的测量时间、所述交通工具的相关信息、所述身份信息与所述体温数据之间的对应关系，并对所述对应关系进行存储处理。
作为该实现方式的一个示例，所述体温测量模块可以为非接触式的体温测量模块，从而能够减少交叉感染，并能够提高乘员通行效率。
在一个示例中，所述体温测量模块可以包括热成像体温检测仪。在自然界中，物体温度高于绝对零度(﹣273℃)就会辐射电磁波，而红外线是电磁波最为广泛的一种存在形式。热成像体温检测仪通过采集物体发出的红外信号，将红外信号转化为电信号，再通过信号处理系统将电信号转换为温度，并可以输出便于肉眼识别的热成像图像。这样，热成像体温检测仪就可以实现非接触式测温。
由于热成像体温检测仪在实际环境中的温度测量误差在±1℃左右，甚至更高，因此，为了提高测温精度，在一个例子中，所述体温测量模块还可以包括温度校准设备，例如黑体。黑体可以安装在热成像体温检测仪的对面，由此能够保证黑体的辐射靶面出现在热成像体温检测仪的成像画面中。热成像体温检测仪可以以黑体设置的温度值作为基准，进行实时的温度测量和校准，以使测温精度达到±0.3℃的要求。其中，黑体只需接上电源即可使用，无需联网。
在另一个示例中，所述体温测量模块还可以包括用于测额头温度或者手腕温度的红外线测温仪。
在该实现方式中，所述体温测量模块可以安装在所述交通工具的舱外或者舱内。例如，所述体温测量模块可以安装在车门的附近，例如车门的左侧。又如，所述体温测量模块可以安装在车门上。又如，所述体温测量模块可以安装在所述交通工具的上下车刷卡器的位置。
作为该实现方式的一个示例，响应于所述乘员的体温数据异常，发出体温提示信息。例如，所述体温提示信息可以用于提示所述乘员上医院检查等。
作为该实现方式的一个示例，所述交通工具的相关信息包括所述交通工具的定位信息、路线信息、驾驶员信息和标识信息中的一项或两项以上。例如，若所述交通工具为车，则所述交通工具的标识信息可以包括所述交通工具的车牌号。驾驶员信息可以是驾驶员的身份证号、照片、姓名、人脸图像等能够用于唯一确定驾驶员的信息。
作为该实现方式的一个示例，所述对所述对应关系进行存储处理，包括：在所述交通工具的存储器中存储所述对应关系。
作为该实现方式的另一个示例，所述对所述对应关系进行存储处理，包括：将所述对应关系发送至服务器，以由所述服务器存储所述对应关系。该实现方式通过服务器存储所述对应关系，能够方便后续根据服务器存储的数据进行溯源查找。
作为该实现方式的一个示例，在所述对所述对应关系进行存储处理之后，所述方法还包括：获取查询请求，其中，所述查询请求包括待查询乘员的身份信息；根据所述待查询乘员的身份信息，确定所述待查询乘员搭乘的交通工具的相关信息和所述待查询乘员搭乘交通工具的时间；根据所述待查询乘员搭乘的交通工具的相关信息，确定所述待查询乘员的同行人的身份信息，其中，所述待查询乘员的同行人表示与所述待查询乘员在相同时间搭乘同一交通工具的乘员。在该示例中，查询请求还可以包括请求查询的时间范围，例如，请求查询的时间范围可以根据待查询乘员的发病时间和病症的潜伏期长度来确定。在该实现方式中，待查询乘员可以是确诊某一种传染病的乘员，在该乘员确诊之后，可以根据存储的数据对该乘员本人的行踪、同行人及其行踪进行查找管控。
在一种可能的实现方式中，所述交通工具为车辆，所述方法还包括：响应于所述人脸图像的身份识别结果表示乘员为不允许乘车的乘员，控制所述车门不解锁或不开车门。例如，在校车、网约车、共享班车等预先注册有乘员信息的应用场景中，若摄像头采集的人脸图像中的乘员不属于预先注册的乘员，则可以控制所述车门不解锁或不开车门。通过响应于所述人脸图像的身份识别结果表示乘员为不允许乘车的乘员，控制所述车门不解锁或不开车门，由此能够减小乘员搭错车的可能性。
本公开实施例还提供了一种交通工具的控制方法，包括：采集所述交通工具内部的图像，并基于所述内部的图像，确定所述交通工具的乘员的座位信息；在检测到所述乘员落座后，基于所述内部的图像，检测所述乘员是否佩戴安全带；响应于检测到所述乘员未佩戴安全带，根据所述乘员的座位信息，进行安全带提示。
在本公开实施例中，通过根据乘员的座位信息进行安全带提示，由此能够针对性地进行安全带提示，从而能够有效提醒乘员佩戴安全带。例如，对于搭乘校车的学生，通过根据学生的座位信息进行安全带提示，能够有效提醒学生佩戴安全带，从而能够提高校车通勤的安全性。
在一种可能的实现方式中，所述根据所述乘员的座位信息，进行安全带提示，包括：通过所述乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，根据所述乘员的座位信息，进行安全带提示。
在该实现方式中，通过所述乘员的座位对应的显示屏，根据所述乘员的座位信息，进行安全带提示，由此能够通过所述乘员的座位对应的显示屏针对性地对乘员进行安全带提示，从而能够有效提醒乘员佩戴安全带。通过所述交通工具的驾驶员对应的显示屏，根据所述乘员的座位信息，进行安全带提示，由此驾驶员能够根据乘员的座位提醒乘员佩戴安全带。通过所述交通工具的广播，根据所述乘员的座位信息，进行安全带提示，由此交通工具内的所有人员均能听到安全带提示，有助于乘员之间互相监督。
在一种可能的实现方式中，所述基于所述内部的图像，检测所述乘员是否佩戴安全带，包括：将所述内部的图像输入第一神经网络，经由所述第一神经网络输出所述乘员的安全带佩戴结果，其中，所述第一神经网络是预先采用包含预设颜色和/或预设图案的安全带的图像样本训练的。
在该实现方式中，通过第一神经网络进行安全带检测，能够提高安全带检测的精度，降低安全带检测的成本。
可以理解，本公开提及的上述各个方法实施例，在不违背原理逻辑的情况下，均可以彼此相互结合形成结合后的实施例，限于篇幅，本公开不再赘述。
本领域技术人员可以理解，在具体实施方式的上述方法中，各步骤的撰写顺序并不意味着严格 的执行顺序而对实施过程构成任何限定，各步骤的具体执行顺序应当以其功能和可能的内在逻辑确定。
此外，本公开还提供了交通工具的控制装置、电子设备、计算机可读存储介质、程序，上述均可用来实现本公开提供的任一种交通工具的控制方法，相应技术方案和描述和参见方法部分的相应记载，不再赘述。
图3示出本公开实施例提供的交通工具的控制装置的框图。如图3所示，所述交通工具的控制装置包括：
第一确定模块31，用于采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息；
第二确定模块32，用于采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息；
第三确定模块33，用于根据所述乘员的身份信息，确定所述乘员的下车地点；
第一下车提示模块34，用于根据所述乘员的下车地点和座位信息，进行下车提示。
在一种可能的实现方式中，所述第三确定模块33用于：
根据所述乘员的身份信息以及当前时间，确定所述乘员的下车地点。
在一种可能的实现方式中，
所述交通工具中安装有与座位对应的显示屏；
所述第一下车提示模块34用于：根据所述乘员的座位信息，确定所述乘员的座位对应的显示屏；通过所述乘员的座位对应的显示屏，根据所述乘员的下车地点进行下车提示。
在一种可能的实现方式中，
所述交通工具中的显示屏与座位一一对应；
或者，
所述交通工具中的显示屏与座位区域一一对应，其中，任一座位区域包括至少一个座位。
在一种可能的实现方式中，
所述交通工具中安装有与座位一一对应的震动模块；
所述第一下车提示模块34用于：根据所述乘员的座位信息，确定所述乘员的座位对应的震动模块；根据所述乘员的下车地点，控制所述乘员的座位对应的震动模块震动。
在一种可能的实现方式中，所述第一下车提示模块34用于：
根据所述乘员的下车地点和座位信息，确定所述交通工具的停靠站点对应的下车座位信息，其中，任一停靠站点对应的下车座位信息包括：下车地点为该停靠站点的乘员的座位信息；
通过所述交通工具的驾驶员对应的显示屏，根据所述停靠站点对应的下车座位信息进行下车提示；和/或，通过所述交通工具的广播，根据所述停靠站点对应的下车座位信息进行下车提示。
在一种可能的实现方式中，所述第一下车提示模块34用于：
通过所述交通工具的驾驶员对应的显示屏，根据即将到达或当前到达的停靠站点的下车座位信息，显示下车座位图，其中，在所述下车座位图中，突出显示下车地点为即将到达或当前到达的停靠站点的乘员的座位。
在一种可能的实现方式中，还包括：
第一检测模块，用于检测下车地点为当前到达的停靠站点的乘员是否均已下车；
第二下车提示模块，用于响应于检测到下车地点为所述当前到达的停靠站点的乘员均已下车，通过所述交通工具的驾驶员对应的显示屏，提示当前到达的停靠站点已下车完成；和/或，响应于检测到存在下车地点为所述当前到达的停靠站点的乘员未下车，通过下车地点为所述当前到达的停靠站点且未下车的乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，进行下车提示。
在一种可能的实现方式中，所述装置还包括接送提示模块，用于：
响应于当前时间属于放学时间，且所述交通工具即将到达所述乘员的下车地点，向所述乘员对应的家长终端发送接送信息；
和/或，
响应于当前时间属于上学时间，且所述交通工具即将到达任一乘员的上车地点，向所述乘员对应的家长终端发送接送信息。
在一种可能的实现方式中，所述装置还包括：
第二检测模块，用于在检测到所述乘员落座后，基于所述内部的图像，检测所述乘员是否佩戴安全带；
安全带提示模块，用于响应于检测到所述乘员未佩戴安全带，根据所述乘员的座位信息，进行安全带提示。
在一种可能的实现方式中，所述安全带提示模块用于：
通过所述乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，根据所述乘员的座位信息，进行安全带提示。
在一种可能的实现方式中，所述第二检测模块用于：
将所述内部的图像输入第一神经网络，经由所述第一神经网络输出所述乘员的安全带佩戴结果，其中，所述第一神经网络是预先采用包含预设颜色和/或预设图案的安全带的图像样本训练的。
在一种可能的实现方式中，所述装置还包括：
活体检测模块，用于在所述交通工具熄火后，或者，在所述交通工具熄火且车门关闭后，基于所述内部的图像进行活体检测；
遗留乘员提示模块，用于响应于检测到活体，通过所述交通工具的驾驶员对应的显示屏、所述交通工具的广播、所述交通工具的车灯中的至少之一，提示所述交通工具中存在遗留乘员，和/或，向所述交通工具的相关人员的终端发送遗留乘员提示信息。
在一种可能的实现方式中，所述装置还包括显示模块，用于：
在所述乘员进入所述交通工具时，通过所述交通工具的上车处的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息；
和/或，
在所述乘员落座后，通过所述乘员的座位对应的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息。
在一种可能的实现方式中，所述装置还包括：
驾驶员检测模块，用于采集所述交通工具的驾驶员的图像，并基于所述驾驶员的图像，对所述驾 驶员进行疲劳状态检测和/或负面情绪检测，得到所述驾驶员对应的疲劳状态检测结果和/或负面情绪检测结果；
存储模块，用于对所述驾驶员对应的疲劳状态检测结果和/或负面情绪检测结果进行存储处理。
在本公开实施例中，通过采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息，采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息，根据所述乘员的身份信息，确定所述乘员的下车地点，并根据所述乘员的下车地点和座位信息，进行下车提示，由此能够针对性地对乘员进行下车提示，从而能够有效提醒乘员在正确的停靠站点下车。例如，在校车通勤中，小朋友因为年纪小，有时会因为睡觉或者走神忘记定点下车。通过采用本公开实施例，能够有效提醒乘坐校车的学生在正确的停靠站点下车，大大降低下错车或者忘记下车的概率。与相关技术中通过人力来进行下车提醒的校车管理方式相比，本公开实施例能够降低成本、提高效率。
根据本公开的一方面，提供了一种交通工具的控制装置，包括：
第二确定模块，用于采集所述交通工具内部的图像，并基于所述内部的图像，确定所述交通工具的乘员的座位信息；
第二检测模块，用于在检测到所述乘员落座后，基于所述内部的图像，检测所述乘员是否佩戴安全带；
安全带提示模块，用于响应于检测到所述乘员未佩戴安全带，根据所述乘员的座位信息，进行安全带提示。
在一种可能的实现方式中，所述第二检测模块用于：
将所述内部的图像输入第一神经网络，经由所述第一神经网络输出所述乘员的安全带佩戴结果，其中，所述第一神经网络是预先采用包含预设颜色和/或预设图案的安全带的图像样本训练的。
在本公开实施例中，通过根据乘员的座位信息进行安全带提示，由此能够针对性地进行安全带提示，从而能够有效提醒乘员佩戴安全带。例如，对于搭乘校车的学生，通过根据学生的座位信息进行安全带提示，能够有效提醒学生佩戴安全带，从而能够提高校车通勤的安全性。
在一些实施例中，本公开实施例提供的装置具有的功能或包含的模块可以用于执行上文方法实施例描述的方法，其具体实现可以参照上文方法实施例的描述，为了简洁，这里不再赘述。
本公开实施例还提供一种计算机可读存储介质，其上存储有计算机程序指令，所述计算机程序指令被处理器执行时实现上述方法。其中，所述计算机可读存储介质可以是非易失性计算机可读存储介质，或者可以是易失性计算机可读存储介质。
本公开实施例还提出一种计算机程序，包括计算机可读代码，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行用于实现上述方法。
本公开实施例还提供了一种计算机程序产品，用于存储计算机可读指令，指令被执行时使得计算机执行上述任一实施例提供的交通工具的控制方法的操作。
本公开实施例还提供一种电子设备，包括：一个或多个处理器；用于存储可执行指令的存储器；其中，所述一个或多个处理器被配置为调用所述存储器存储的可执行指令，以执行上述方法。
电子设备可以被提供为终端、服务器或其它形态的设备。
图4示出本公开实施例提供的一种电子设备800的框图。例如，电子设备800可以是移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理 等终端。
参照图4，电子设备800可以包括以下一个或多个组件：处理组件802，存储器804，电源组件806，多媒体组件808，音频组件810，输入/输出(I/O)的接口812，传感器组件814，以及通信组件816。
处理组件802通常控制电子设备800的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件802可以包括一个或多个处理器820来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件802可以包括一个或多个模块，便于处理组件802和其他组件之间的交互。例如，处理组件802可以包括多媒体模块，以方便多媒体组件808和处理组件802之间的交互。
存储器804被配置为存储各种类型的数据以支持在电子设备800的操作。这些数据的示例包括用于在电子设备800上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器804可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件806为电子设备800的各种组件提供电力。电源组件806可以包括电源管理系统，一个或多个电源，及其他与为电子设备800生成、管理和分配电力相关联的组件。
多媒体组件808包括在所述电子设备800和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件808包括一个前置摄像头和/或后置摄像头。当电子设备800处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件810被配置为输出和/或输入音频信号。例如，音频组件810包括一个麦克风(MIC)，当电子设备800处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器804或经由通信组件816发送。在一些实施例中，音频组件810还包括一个扬声器，用于输出音频信号。
I/O接口812为处理组件802和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件814包括一个或多个传感器，用于为电子设备800提供各个方面的状态评估。例如，传感器组件814可以检测到电子设备800的打开/关闭状态，组件的相对定位，例如所述组件为电子设备800的显示器和小键盘，传感器组件814还可以检测电子设备800或电子设备800一个组件的位置改变，用户与电子设备800接触的存在或不存在，电子设备800方位或加速/减速和电子设备800的温度变化。传感器组件814可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件814还可以包括光传感器，如互补金属氧化物半导体(CMOS)或电荷耦合装置(CCD)图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件814还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件816被配置为便于电子设备800和其他设备之间有线或无线方式的通信。电子设备800可 以接入基于通信标准的无线网络，如无线网络(Wi-Fi)、第二代移动通信技术(2G)、第三代移动通信技术(3G)、第四代移动通信技术(4G)/通用移动通信技术的长期演进(LTE)、第五代移动通信技术(5G)或它们的组合。在一个示例性实施例中，通信组件816经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件816还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，电子设备800可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
在示例性实施例中，还提供了一种非易失性计算机可读存储介质，例如包括计算机程序指令的存储器804，上述计算机程序指令可由电子设备800的处理器820执行以完成上述方法。
本公开可以是系统、方法和/或计算机程序产品。计算机程序产品可以包括计算机可读存储介质，其上载有用于使处理器实现本公开的各个方面的计算机可读程序指令。
计算机可读存储介质可以是可以保持和存储由指令执行设备使用的指令的有形设备。计算机可读存储介质例如可以是――但不限于――电存储设备、磁存储设备、光存储设备、电磁存储设备、半导体存储设备或者上述的任意合适的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、静态随机存取存储器(SRAM)、便携式压缩盘只读存储器(CD-ROM)、数字多功能盘(DVD)、记忆棒、软盘、机械编码设备、例如其上存储有指令的打孔卡或凹槽内凸起结构、以及上述的任意合适的组合。这里所使用的计算机可读存储介质不被解释为瞬时信号本身，诸如无线电波或者其他自由传播的电磁波、通过波导或其他传输媒介传播的电磁波(例如，通过光纤电缆的光脉冲)、或者通过电线传输的电信号。
这里所描述的计算机可读程序指令可以从计算机可读存储介质下载到各个计算/处理设备，或者通过网络、例如因特网、局域网、广域网和/或无线网下载到外部计算机或外部存储设备。网络可以包括铜传输电缆、光纤传输、无线传输、路由器、防火墙、交换机、网关计算机和/或边缘服务器。每个计算/处理设备中的网络适配卡或者网络接口从网络接收计算机可读程序指令，并转发该计算机可读程序指令，以供存储在各个计算/处理设备中的计算机可读存储介质中。
用于执行本公开操作的计算机程序指令可以是汇编指令、指令集架构(ISA)指令、机器指令、机器相关指令、微代码、固件指令、状态设置数据、或者以一种或多种编程语言的任意组合编写的源代码或目标代码，所述编程语言包括面向对象的编程语言—诸如Smalltalk、C++等，以及常规的过程式编程语言—诸如“C”语言或类似的编程语言。计算机可读程序指令可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络—包括局域网(LAN)或广域网(WAN)—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。在一些实施例中，通过利用计算机可读程序指令的状态信息来个性化定制电子电路，例如可编程逻辑电路、现场可编程门阵列(FPGA)或可编程逻辑阵列(PLA)，该电子电路可以执行计算机可读程序指令，从而实现本公开的各个方面。
这里参照根据本公开实施例的方法、装置(系统)和计算机程序产品的流程图和/或框图描述了本公开的各个方面。应当理解，流程图和/或框图的每个方框以及流程图和/或框图中各方框的组合，都可以由计算机可读程序指令实现。
这些计算机可读程序指令可以提供给通用计算机、专用计算机或其它可编程数据处理装置的处理器，从而生产出一种机器，使得这些指令在通过计算机或其它可编程数据处理装置的处理器执行时，产生了实现流程图和/或框图中的一个或多个方框中规定的功能/动作的装置。也可以把这些计算机可读程序指令存储在计算机可读存储介质中，这些指令使得计算机、可编程数据处理装置和/或其他设备以特定方式工作，从而，存储有指令的计算机可读介质则包括一个制造品，其包括实现流程图和/或框图中的一个或多个方框中规定的功能/动作的各个方面的指令。
也可以把计算机可读程序指令加载到计算机、其它可编程数据处理装置、或其它设备上，使得在计算机、其它可编程数据处理装置或其它设备上执行一系列操作步骤，以产生计算机实现的过程，从而使得在计算机、其它可编程数据处理装置、或其它设备上执行的指令实现流程图和/或框图中的一个或多个方框中规定的功能/动作。
附图中的流程图和框图显示了根据本公开的多个实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段或指令的一部分，所述模块、程序段或指令的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个连续的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或动作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
该计算机程序产品可以具体通过硬件、软件或其结合的方式实现。在一个可选实施例中，所述计算机程序产品具体体现为计算机存储介质，在另一个可选实施例中，计算机程序产品具体体现为软件产品，例如软件开发包(Software Development Kit，SDK)等等。
以上已经描述了本公开的各实施例，上述说明是示例性的，并非穷尽性的，并且也不限于所披露的各实施例。在不偏离所说明的各实施例的范围和精神的情况下，对于本技术领域的普通技术人员来说许多修改和变更都是显而易见的。本文中所用术语的选择，旨在最好地解释各实施例的原理、实际应用或对市场中的技术的改进，或者使本技术领域的其它普通技术人员能理解本文披露的各实施例。

Claims (21)

  1. 一种交通工具的控制方法，其特征在于，包括：
    采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息；
    采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息；
    根据所述乘员的身份信息，确定所述乘员的下车地点；
    根据所述乘员的下车地点和座位信息，进行下车提示。
  2. 根据权利要求1所述的方法，其特征在于，所述根据所述乘员的身份信息，确定所述乘员的下车地点，包括：
    根据所述乘员的身份信息以及当前时间，确定所述乘员的下车地点。
  3. 根据权利要求1或2所述的方法，其特征在于，
    所述交通工具中安装有与座位对应的显示屏；
    所述根据所述乘员的下车地点和座位信息，进行下车提示，包括：根据所述乘员的座位信息，确定所述乘员的座位对应的显示屏；通过所述乘员的座位对应的显示屏，根据所述乘员的下车地点进行下车提示。
  4. 根据权利要求3所述的方法，其特征在于，
    所述交通工具中的显示屏与座位一一对应；
    或者，
    所述交通工具中的显示屏与座位区域一一对应，其中，任一座位区域包括至少一个座位。
  5. 根据权利要求1至4中任意一项所述的方法，其特征在于，
    所述交通工具中安装有与座位一一对应的震动模块；
    所述根据所述乘员的下车地点和座位信息，进行下车提示，包括：根据所述乘员的座位信息，确定所述乘员的座位对应的震动模块；根据所述乘员的下车地点，控制所述乘员的座位对应的震动模块震动。
  6. 根据权利要求1至5中任意一项所述的方法，其特征在于，所述根据所述乘员的下车地点和座位信息，进行下车提示，包括：
    根据所述乘员的下车地点和座位信息，确定所述交通工具的停靠站点对应的下车座位信息，其中，任一停靠站点对应的下车座位信息包括：下车地点为该停靠站点的乘员的座位信息；
    通过所述交通工具的驾驶员对应的显示屏，根据所述停靠站点对应的下车座位信息进行下车提示；和/或，通过所述交通工具的广播，根据所述停靠站点对应的下车座位信息进行下车提示。
  7. 根据权利要求6所述的方法，其特征在于，所述通过所述交通工具的驾驶员对应的显示屏，根据所述停靠站点对应的下车座位信息进行下车提示，包括：
    通过所述交通工具的驾驶员对应的显示屏，根据即将到达或当前到达的停靠站点的下车座位信息，显示下车座位图，其中，在所述下车座位图中，突出显示下车地点为即将到达或当前到达的停靠站点的乘员的座位。
  8. 根据权利要求1至7中任意一项所述的方法，其特征在于，还包括：
    检测下车地点为当前到达的停靠站点的乘员是否均已下车；
    响应于检测到下车地点为所述当前到达的停靠站点的乘员均已下车，通过所述交通工具的驾驶员对应的显示屏，提示当前到达的停靠站点已下车完成；和/或，响应于检测到存在下车地点为所述当 前到达的停靠站点的乘员未下车，通过下车地点为所述当前到达的停靠站点且未下车的乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，进行下车提示。
  9. 根据权利要求1至8中任意一项所述的方法，其特征在于，在所述确定所述乘员的下车地点之后，所述方法还包括：
    响应于当前时间属于放学时间，且所述交通工具即将到达所述乘员的下车地点，向所述乘员对应的家长终端发送接送信息；
    和/或，
    响应于当前时间属于上学时间，且所述交通工具即将到达任一乘员的上车地点，向所述乘员对应的家长终端发送接送信息。
  10. 根据权利要求1至9中任意一项所述的方法，其特征在于，在所述采集所述交通工具内部的图像之后，所述方法还包括：
    在检测到所述乘员落座后，基于所述内部的图像，检测所述乘员是否佩戴安全带；
    响应于检测到所述乘员未佩戴安全带，根据所述乘员的座位信息，进行安全带提示。
  11. 根据权利要求10所述的方法，其特征在于，所述根据所述乘员的座位信息，进行安全带提示，包括：
    通过所述乘员的座位对应的显示屏、所述乘员的座位对应的震动模块、所述交通工具的驾驶员对应的显示屏和所述交通工具的广播中的至少之一，根据所述乘员的座位信息，进行安全带提示。
  12. 根据权利要求10或11所述的方法，其特征在于，所述基于所述内部的图像，检测所述乘员是否佩戴安全带，包括：
    将所述内部的图像输入第一神经网络，经由所述第一神经网络输出所述乘员的安全带佩戴结果，其中，所述第一神经网络是预先采用包含预设颜色和/或预设图案的安全带的图像样本训练的。
  13. 根据权利要求1至12中任意一项所述的方法，其特征在于，所述方法还包括：
    在所述交通工具熄火后，或者，在所述交通工具熄火且车门关闭后，基于所述内部的图像进行活体检测；
    响应于检测到活体，通过所述交通工具的驾驶员对应的显示屏、所述交通工具的广播、所述交通工具的车灯中的至少之一，提示所述交通工具中存在遗留乘员，和/或，向所述交通工具的相关人员的终端发送遗留乘员提示信息。
  14. 根据权利要求1至13中任意一项所述的方法，其特征在于，所述方法还包括：
    在所述乘员进入所述交通工具时，通过所述交通工具的上车处的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息；
    和/或，
    在所述乘员落座后，通过所述乘员的座位对应的显示屏，根据所述乘员的身份信息，显示针对所述乘员的欢迎信息。
  15. 根据权利要求1至14中任意一项所述的方法，其特征在于，所述方法还包括：
    采集所述交通工具的驾驶员的图像，并基于所述驾驶员的图像，对所述驾驶员进行疲劳状态检测和/或负面情绪检测，得到所述驾驶员对应的疲劳状态检测结果和/或负面情绪检测结果；
    对所述驾驶员对应的疲劳状态检测结果和/或负面情绪检测结果进行存储处理。
  16. 一种交通工具的控制方法，其特征在于，包括：
    采集所述交通工具内部的图像，并基于所述内部的图像，确定所述交通工具的乘员的座位信息；
    在检测到所述乘员落座后，基于所述内部的图像，检测所述乘员是否佩戴安全带；
    响应于检测到所述乘员未佩戴安全带，根据所述乘员的座位信息，进行安全带提示。
  17. 根据权利要求16所述的方法，其特征在于，所述基于所述内部的图像，检测所述乘员是否佩戴安全带，包括：
    将所述内部的图像输入第一神经网络，经由所述第一神经网络输出所述乘员的安全带佩戴结果，其中，所述第一神经网络是预先采用包含预设颜色和/或预设图案的安全带的图像样本训练的。
  18. 一种交通工具的控制装置，其特征在于，包括：
    第一确定模块，用于采集交通工具的乘员的人脸图像，并基于所述人脸图像，确定所述乘员的身份信息；
    第二确定模块，用于采集所述交通工具内部的图像，并基于所述内部的图像，确定所述乘员的座位信息；
    第三确定模块，用于根据所述乘员的身份信息，确定所述乘员的下车地点；
    第一下车提示模块，用于根据所述乘员的下车地点和座位信息，进行下车提示。
  19. 一种电子设备，其特征在于，包括：
    一个或多个处理器；
    用于存储可执行指令的存储器；
    其中，所述一个或多个处理器被配置为调用所述存储器存储的可执行指令，以执行权利要求1至17中任意一项所述的方法。
  20. 一种计算机可读存储介质，其上存储有计算机程序指令，其特征在于，所述计算机程序指令被处理器执行时实现权利要求1至17中任意一项所述的方法。
  21. 一种计算机程序，包括计算机可读代码，其特征在于，当所述计算机可读代码在电子设备中运行时，所述电子设备中的处理器执行用于实现权利要求1至17中的任一权利要求所述的方法。
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