CN110012495A - People counting method and device and computer equipment - Google Patents

Abstract

The method is used for counting the total number of people passing through a target area in a specified time period, the target area is located in a specified place, a WiFi probe and a plurality of gate ports are distributed in the specified place, the WiFi probe is used for detecting MAC address related information of equipment in the specified place, and the gate ports are used for a user to enter and exit the specified place in a code scanning mode; the method comprises the following steps: acquiring MAC address related information detected by a WiFi probe in a specified time period; acquiring code scanning related information acquired by each gate in the specified time period, wherein the code scanning related information is generated when a user passes through the gate in a code scanning mode; and determining the total number of people passing through the target area in the specified time period according to the MAC address related information and the code scanning related information.

Description

A people counting method, device, and computer equipment

technical field

The embodiments of this specification relate to the technical field of data processing, and in particular, to a people counting method, apparatus, and computer equipment.

Background technique

At present, people counting services have high application value in various environments and application scenarios. For example, in offline business scenarios, for large public places such as subway stations and playgrounds, counting the flow of people in different areas can help businesses. Reasonably arrange the placement of advertisements or the placement of products.

In the prior art, there are two ways of counting people: first, a WiFi probe is arranged in a fixed area, and the MAC address of the device appearing in the fixed area can be obtained through the WiFi probe, and then the number of detected MAC addresses is calculated. Multiply by a reduction coefficient as the result of the number of people in the fixed area; secondly: deploy a camera device in the fixed area, and the video image of the fixed area can be collected by the camera device, and then, the video image is analyzed by a deep learning algorithm, then Get the number of people in the fixed area.

However, in the above method 1, with the development of technology, a MAC address may not necessarily correspond to a mobile device (such as a mobile phone), but may also correspond to a router or other networkable device, that is, a MAC address may not correspond to a natural person. In addition, the reduction coefficient is also estimated by manual experience. It can be seen that the above-mentioned method 1 has a large error in people counting; in the above-mentioned method 2, the hardware cost of the camera equipment is relatively high, and this method also requires hardware computing power. It is relatively high, and the camera itself involves privacy issues. Therefore, using the above-mentioned method 2 to count people costs relatively high, and the versatility is not high.

SUMMARY OF THE INVENTION

In view of the above technical problems, the embodiments of this specification provide a people counting method, device, and computer equipment, and the technical solutions are as follows:

According to a first aspect of the embodiments of the present specification, a method for counting people is provided, which is used to count the total number of people passing through a target area within a specified time period, where the target area is located in a designated place, and WiFi probes are arranged in the designated place and a plurality of gate ports, the WiFi probe is used to detect the MAC address-related information of the equipment in the designated place, and the gate port is used for users to pass through the gate port by scanning a code; the method include:

Acquire information about the MAC address detected by the WiFi probe within a specified time period;

Acquire the relevant information of scanning code collected by each gate within the specified time period, and the relevant information of scanning code is generated when the user passes through the gate by scanning the code;

Determine the total number of people passing through the target area within the specified time period according to the MAC address related information and the code scanning related information.

According to a second aspect of the embodiments of the present specification, there is provided a people counting device for counting the total number of people passing through a target area within a specified time period, where the target area is located in a designated place, and WiFi probes are arranged in the designated place and a plurality of gate ports, the WiFi probe is used to detect the MAC address-related information of the equipment in the designated place, and the gate port is used for users to pass through the gate port by scanning a code; the device include:

a first acquisition module, configured to acquire the MAC address-related information detected by the WiFi probe within a specified time period;

The second acquisition module is used to acquire the relevant information of scanning code collected by each gate within the specified time period, and the relevant information of scanning code is generated when the user passes through the gate by scanning the code;

The total number of people determination module determines the total number of people passing through the target area within the specified time period according to the MAC address related information and the code scanning related information.

According to a third aspect of the embodiments of the present specification, there is provided a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the present invention when the processor executes the program. The people counting method provided in the embodiment of the description.

The technical solution provided by the embodiments of this specification is to obtain the relevant information of the MAC address detected by the WiFi probe within the specified time period, and obtain the scanning code related information collected by each gate within the specified time period. The relevant information is generated when the user passes through the gate by scanning the code, and the total number of people who pass through the target area within the specified time period can be more accurately determined according to the information related to the MAC address and the relevant information of scanning the code.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not limiting of the embodiments of the present specification.

In addition, any one of the embodiments of the present specification does not need to achieve all the above effects.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present specification or the prior art, the following briefly introduces the accompanying drawings required in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some of the embodiments described in the embodiments of the present specification. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings.

FIG. 1 is a schematic diagram of an application scenario provided by an exemplary embodiment of this specification for applying the people counting method provided in this specification;

Fig. 2 is an example of the target area;

FIG. 3 is a flowchart of an embodiment of a people counting method provided by an exemplary embodiment of the present specification;

FIG. 4 is a block diagram of an embodiment of a people counting apparatus provided by an exemplary embodiment of the present specification;

FIG. 5 shows a more specific schematic diagram of the hardware structure of a computer device provided by an embodiment of the present specification.

Detailed ways

In order for those skilled in the art to better understand the technical solutions in the embodiments of the present specification, the technical solutions in the embodiments of the present specification will be described in detail below with reference to the accompanying drawings in the embodiments of the present specification. Obviously, the described implementation Examples are only some of the embodiments of the present specification, but not all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this specification should fall within the scope of protection.

Please refer to FIG. 1 , which is a schematic diagram of an application scenario provided by an exemplary embodiment of this specification for applying the people counting method provided in this specification.

As shown in FIG. 1 , taking a subway station 100 as an example, the subway station 100 may be provided with multiple gates, for example, gates 1 to 25 . In the embodiment of this specification, the subway station An advertisement placement screen 101 and a WiFi probe 102 are also arranged in the 100 . The detection range of the WiFi probe 102 may include the entire subway station 100 , that is, through the WiFi probe 102 , the MAC addresses of all devices present in the subway station 100 may be detected.

In the application scenario illustrated in FIG. 1 , a target area (not shown in FIG. 1 ) may be set based on the location of the advertisement placement screen 101 . For example, as shown in FIG. 2 , which is an example of the target area, the target area It is a semicircular area with a radius of 8m. By applying the people counting method provided in this manual, the total number of people passing through the target area within a specified time period can be counted, so as to help the merchant to understand whether the location of the advertisement placement screen 101 is reasonable.

It should be noted that the embodiment of this specification aims to count the total number of people passing through the target area within a specified time period, and the WiFi probe 102 may be arranged in or near the target area.

As follows, based on the application scenario illustrated in FIG. 1 , the following embodiments are shown to describe the people counting method in detail.

Please refer to FIG. 3 , which is a flowchart of an embodiment of a people counting method provided by an exemplary embodiment of this specification. Based on the application scenario shown in FIG. 1 above, the method may include the following steps:

Step 302: Acquire information related to MAC addresses detected by the WiFi probe within a specified time period.

Based on the schematic diagram of the application scenario illustrated in FIG. 1 , the WiFi probe 102 can detect the MAC addresses of all devices present in the subway station 100 . For example, when a user enters the subway station 100 , if the user carries a mobile device, such as a smartphone , and the WiFi connection function of the mobile device is on, then the WiFi probe 102 can detect the MAC address of the mobile device, and at the same time, the WiFi probe can also record the time when the MAC address was detected (for description, This time is referred to as the detection time).

In the embodiment of this specification, when the WiFi probe 102 detects a MAC address, it can also obtain the signal strength of the detected MAC address. Those skilled in the art can understand that the signal strength is negatively correlated with the detection distance, that is, The longer the detection distance is, the smaller the signal strength is. In the real scene, after the user enters the subway station 100, he will be in a walking state, that is, the distance between the user and the WiFi probe 102 is in a state of change, so that the detection by the WiFi probe 102 is in a state of change. The obtained signal strength of the MAC address will also be in a state of change. Based on this, in the embodiment of the present specification, the WiFi probe 102 may only record the detected maximum signal strength.

In the embodiments of this specification, the MAC address, detection time, and signal strength may be collectively referred to as MAC address related information.

It can be seen from the above description that each time a user enters the station, the WiFi probe 102 detects a piece of MAC address related information. Besides, those skilled in the art can understand that the WiFi probe 102 can also detect information related to MAC addresses of routers or other networkable devices existing in the subway station 100 .

In the embodiment of this specification, after the WiFi probe 102 detects the information related to the MAC address, the information related to the MAC address is uploaded to the cloud server (not shown in FIG. 1 ), so that the cloud server can obtain that the WiFi probe 102 is in the cloud server. Specify the time period, such as MAC address related information detected between 8 am and 9 am.

Step 304: Acquire relevant information about scanning codes collected by each gate within a specified time period, where the relevant information about scanning codes is generated when the user passes through the gates in a scanning manner.

In the prior art, the user can pass the gate by scanning the code, which means that the user installs a specific application, such as the Alipay APP, on the mobile device carried by the user, such as a smartphone, when passing through the gate. , the user can present a two-dimensional code through the specific application, and aim the two-dimensional code at the scanning screen of the gate. After the code is scanned successfully, the gate will automatically open.

Based on the above description, when the user passes through the gate by scanning the code, a code-scanning related information may be generated, and the scanning-related information may at least include: scanning time, user ID, and gate ID, where the user ID is Refers to the user ID registered by the user based on the above-mentioned specific application, such as Alipay account. It can be seen that every time a user passes through the gate by scanning the code, the gate can collect a piece of code-scanning related information.

In the embodiment of this specification, each gate can upload the collected information related to scanning the code to the cloud server, so that the cloud server can obtain the information collected by each gate during a specified time period, for example, from 8:00 to 9:00 in the morning. Scan code related information.

It is explained here that when people are counted for the target area, the number of people passing through the target area is usually counted in a period of time, and the period of time can be short, such as only one hour, which has a certain meaning within a day. It is only representative, for example, during the morning rush hour for work, and, in actual scenarios, it usually does not appear that users enter and exit the station within a short period of time. Therefore, in the embodiment of the present specification, within the above specified period of time The collected scan code related information usually does not include both code scan related information generated when the user enters the station, and code scan related information generated when the user exits the station.

It should also be noted that, although in actual scenarios, it usually does not occur that users enter and exit the station within a short period of time, the possibility of such a situation cannot be completely ruled out. However, in the embodiments of this specification In this case, considering that this situation is only an occasional situation, in this situation, the relevant information of scanning code collected during the specified time period includes not only the relevant information of scanning code generated when the user enters the station, but also the relevant information of scanning code generated when the user exits the station. The generated code scanning related information has a negligible impact on subsequent population statistics.

Step 306: Determine the total number of people passing through the target area within the specified time period according to the MAC address related information and the scanning code related information.

In this step, the cloud server may determine the total number of people S ₁ detected by the WiFi probe within the specified time period based on the MAC address-related information obtained in step 302;

Based on the scan code related information obtained in step 304, determine the total number of people S ₂ who pass through any gate in a code scan mode within a specified time period;

Based on the MAC address-related information obtained in step 302 and the scanning code-related information obtained in step 304, it is jointly determined that the scanning method is used to pass through any gate within the specified time period, and is detected by the WiFi probe. The total number of people arriving S ₃ ;

For any gate, based on the scan code-related information obtained in step 304, determine within a specified time period, the number of people Qi _passing through the gate using the code-scanning method;

For any gate, according to the MAC address-related information obtained in step 302 and the scan code-related information obtained in step 304, it is determined that within the specified time period, the code-scanning method is used to pass through the gate, and is The number of people R _i detected by the WiFi probe 102 and passing through the target area;

Among them, i is a natural number greater than 0 and no more than N, and N is the number of gates. For example, the number of people who pass the gate number 1 by scanning the code can be recorded as Q ₁ , and the number of people who pass the gate by scanning the code can be recorded as Q 1 . The number of people at the gate number 2 is recorded as Q ₂ , and the number of people who pass through the gate number 3 by scanning the code is recorded as Q ₃ , and so on. The specific naming of R _i can also be deduced by analogy. The embodiments in the description are not exemplified one by one.

Finally, according to the above S ₁ , S ₂ , S ₃ , Qi , and R _{i ,} the total number of people S passing through the target area within the specified time period can be determined.

As follows, the above-mentioned determination process of S ₁ , S ₂ , S ₃ , Q _i , R _i , and S will be described respectively:

( ₁ ) Describe the determination process of the above S1:

As can be seen from the relevant description in the above step 302, the MAC address related information obtained in step 302 may include both the MAC address related information detected by the WiFi probe 102 when the user enters the station, and the information detected by the WiFi probe 102. MAC address related information of routers or other networkable devices existing in the subway station 100 . Based on this, in the embodiment of this specification, the MAC address-related information detected when the user enters the station, that is, the MAC address-related information corresponding to a natural person, can be firstly screened out from all the acquired MAC address-related information.

Specifically, for any MAC address-related information obtained in step 302, search for pre-acquired user registration information according to the MAC address included in the information. The user registration information may be obtained by the cloud server from the server corresponding to the above-mentioned specific application. It includes the association between the user ID of the registered user and the commonly used MAC address of the registered user. If the MAC address is found, it can be determined that the MAC address has an associated user ID, so it can be considered that the MAC address Corresponding to a natural person, that is, the MAC address related information corresponds to a natural person.

In one embodiment, each time a piece of MAC address-related information corresponding to a natural person is confirmed, a preset value representing the total number of people S1 detected by the WiFi probe 102 within a specified time period may be added by ₁ . For processing, those skilled in the art can understand that the initial value of S ₁ is 0, and thus, the total number of people S ₁ detected by the WiFi probe 102 within a specified time period can be obtained.

In another embodiment, considering that in an actual scenario, it is possible for the same user to enter and exit a subway station multiple times in a short period of time, and each time a user enters a subway station, that is, every time an entering behavior occurs, the WiFi detection The needle 102 can detect the user once, and for this situation, in the embodiment of the present specification, multiple inbound behaviors of the same user in a short period of time can be combined into one inbound behavior. Let me first explain that in the actual scenario, even if the user enters the station multiple times in a short period of time, it is usually two times in a short period of time. Therefore, in the embodiments of the present specification, the user enters the station at most twice in a short period of time as an example for description.

In an optional implementation manner, the MAC address related information corresponding to a natural person selected above may be grouped based on the MAC address, wherein any MAC address related information included in each group includes the same MAC address. Subsequently, the following processing is performed for any group:

If only one piece of MAC address-related information is included in the group, it can be directly determined that the user corresponding to the group has an inbound behavior within the specified time period. The value of the total number of people S1 detected by the WiFi probe 102 is incremented by ₁ .

If the group includes two pieces of MAC address related information, that is, the user corresponding to the group actually has entered the station twice, at this time, the two times can be determined according to the detection time included in the two pieces of MAC address related information. Whether the time interval of the inbound behavior is less than the preset time threshold, if so, the two inbound behaviors can be combined into one inbound behavior; if not, the combination is not performed. Within, the number of times the user corresponding to the group is detected.

For example, suppose the specified time period is from 8:00 to 9:00 in the morning, and a user enters the subway station 100 twice at 8:05 and 8:25. The time interval between the two entrances is 20 minutes, which is less than the expected time. The set time threshold (for example, 30 minutes), then it can be considered that the user is detected only once in the specified time period; for another example, suppose a user has two times at 8:05 and 8:50. When entering a subway station, the time interval between the two entering the station is 45 minutes, which is greater than the preset time interval. Then, it can be considered that the user has been detected twice within the specified time period.

Subsequently, based on the number of times, the value of the above-mentioned total number of people S ₁ is added.

It can be seen that, through the above processing, the total number of people S ₁ detected by the WiFi probe 102 within a specified time period can be obtained.

( ₂ ) Describe the determination process of the above S2:

It can be seen from the description in the above step 304 that a piece of code-scanning related information is generated when the user passes through the gate by scanning the code. Therefore, in the embodiment of this specification, the code-scanning-related information obtained in step 304 can be converted into a piece of information. The number is determined as the total number of people S ₂ who pass through any gate by scanning the code within the specified time period.

( ₃ ) Describe the determination process of the above S3:

In the embodiment of this specification, the following processing can be performed for any piece of code-scanning related information to obtain the total number of people S ₃ who pass through any gate using the code-scanning method and are detected by the WiFi probe 102 within a specified time period. :

According to the user ID included in the scan code related information, the above-mentioned user registration information is searched. If the user ID is found, the MAC address associated with the user ID is obtained. For the convenience of description, the MAC address is called the target MAC address. Subsequently, in the acquired MAC address-related information, it is determined whether there is MAC address-related information including the target MAC address. For the convenience of description, the MAC address-related information including the target MAC address is referred to as target MAC address-related information. , and further determine the inbound start time and inbound end time of the inbound behavior corresponding to the target MAC address (for the definitions of the inbound start time and the inbound end time, please refer to the following description), and the scan code included in the scan code related information Whether the code time meets the preset judgment criteria, if so, it can be considered that the user identified by the user ID passed through any gate by scanning the code within the specified time period, and was detected by the WiFi probe 102. When , the preset value can be used to indicate that the total number of people S3 detected by the WiFi probe 102 is increased by ₁ within a specified period of time, using the code scanning method to pass through any gate.

In the above description, the preset judgment criteria can be:

Start time of pit-stop behavior - 3 minutes < scan code time < end time of pit-stop behavior + 3 minutes.

It should be noted that "3 minutes" in the above judgment criteria is only an example, and in practical applications, it may be other values, such as 2 minutes and 4 minutes, which are not limited in the embodiments of this specification.

In the embodiment of this specification, the definitions of the inbound start time and the inbound end time of the inbound behavior corresponding to the above target MAC address are as follows:

It can be seen from the above description that the WiFi probe 102 detects the MAC address related information based on the user's inbound behavior, and combined with the above-mentioned processing process of combining the user's two inbound behaviors into one inbound behavior, it can be seen that one or two The MAC address related information can correspond to a user inbound behavior. For an inbound behavior corresponding to only one piece of MAC address related information, the start time and end time of the inbound behavior can be defined as its corresponding MAC address. The detection time in the related information; and for the inbound behavior corresponding to the two MAC address related information, the start time of the inbound behavior can be defined as the detection time in the corresponding first MAC address related information, and the The end time of the inbound behavior is defined as the detection time in the corresponding second MAC address related information.

(4) _Describe the determination process of the above Qi:

From the relevant description of the above step 304, it can be known that the scanning code related information includes the gate ID, then, for any gate ID, the scanning related information including the gate ID can be determined, including the gate ID. The number of pieces of information related to the code scanning of the port ID can be used as the number of people who pass through the gate using the code scanning method.

(5) Describe the determination process of the above R _i :

First of all, it can be seen from the relevant description of the above step 302 that the MAC address related information includes the signal strength, and the stronger the signal strength is, the closer the detection distance is, and the WiFi probe is deployed in or near the target area, thus , users who pass through the target area can be determined according to the signal strength.

Based on this, on the basis _of the process described in the above determination S3, if the inbound start time and inbound end time of the inbound behavior corresponding to the target MAC address related information are determined, the scan code included in the scan code related information is determined. If the time meets the above judgment criteria, it can continue to determine whether the signal strength included in the target MAC address related information is greater than the preset signal strength threshold, and if so, the preset indication can be passed through the gate by scanning the code, and Detected by WiFi probe 102, and the number of people R _i passing through the target area is incremented by 1.

(6) Describe the determination process of the above S:

First, according to the above S ₁ and S ₃ , determine the proportion P ₁ of users who pass through any gate by scanning the code, where P ₁ specifically refers to the number of people who pass through any gate by scanning the code, accounting for Through the proportion of the total number of people at any gate, based on statistics, it can be calculated by the following formula (1):

Secondly, according to the above S ₂ and S ₃ , the detection rate P ₂ of the WiFi probe is determined, wherein the P ₂ table specifically refers to the proportion of the number of people detected by the WiFi probe to the total number of people passing through any gate , based on statistics, it can be calculated by the following formula (2):

Again, for any gate, according to the above P ₂ and R _i , determine the number of people T _i who pass through the gate and pass through the target area by scanning the code. Based on statistics, T _i can be determined by the following formula (3 )Calculated:

Among them, use the code scanning method to pass through the gate number 1, and the number of people passing through the target area is recorded as T ₁ , using the code scanning method to pass through the gate number 2, and the number of people passing through the target area is recorded as T ₂ , And so on.

Again, for any gate, the probability C _i of passing through the target area when the user passes through the gate can be determined according to the above T _i and Q _i . Based on statistics, C _i can be calculated by the following formula (4) inferred:

Among them, when the user passes through the gate number 1, the probability of passing through the target area is denoted as C ₁ , when the user passes through the gate number 2, the probability of passing through the target area is denoted as C ₂ , and so on.

Again, for any gate, according to the above P ₁ and Q _i , it can be determined that the number of people passing through the gate within a specified period of time is recorded as M _i , based on statistics, _Mi can be determined by the following formula (5) Calculated:

The number of people passing through the gate number 1 is recorded as M ₁ , the number of people passing through the gate number 2 is recorded as M ₂ , and so on.

Finally, according to the C _i and _Mi of any gate, the total number of people S passing through the target area in the specified time period can be determined. Based on statistics, S can be calculated by the following formula (6):

The technical solution provided by the embodiments of this specification is to obtain the relevant information of the MAC address detected by the WiFi probe within the specified time period, and obtain the scanning code related information collected by each gate within the specified time period. The relevant information is generated when the user passes through the gate by scanning the code, and the total number of people who pass through the target area within the specified time period can be more accurately determined according to the information related to the MAC address and the relevant information of scanning the code.

Corresponding to the above method embodiments, the embodiments of this specification further provide a people counting device. Referring to FIG. 4 , which is a block diagram of an embodiment of a people counting device provided by an exemplary embodiment of this specification, the device may include: The first obtaining module 41 , the second obtaining module 42 , and the total number of people determining module 43 .

Wherein, the first acquisition module 41 is used to acquire the MAC address related information detected by the WiFi probe within a specified time period;

The second obtaining module 42 is configured to obtain the relevant information of scanning code collected by each gate within the specified time period, and the relevant information of scanning code is generated when the user passes through the gate by scanning the code;

The total number of people determining module 43 determines the total number of people passing through the target area within the specified time period according to the MAC address related information and the code scanning related information.

In an embodiment, the MAC address related information at least includes: MAC address, detection time, and signal strength;

The scan code related information at least includes: scan code time, user ID, and gate ID.

In one embodiment, the total number of people determining module 43 includes (not shown in FIG. 4 ):

a first determination submodule, configured to determine the total number of people S ₁ detected by the WiFi probe within the specified time period according to the MAC address-related information;

The second determination sub-module is configured to determine, according to the MAC address related information and the scan code related information, to use the scan code method to pass through any gate within the specified time period and be detected by the WiFi probe. the total number of people detected S ₃ ;

The third determining sub-module is configured to, for any gate, determine the number of people Q _i who pass through the gate by scanning the code within the specified time period according to the relevant information about scanning the code, and determine the number of people who pass through the gate by scanning the code. The total number of people S ₂ passing through any gate by scanning the code, wherein the i is a natural number greater than 0 and no more than N, and N is the number of gates;

The fourth determination sub-module is configured to, for any gate, determine, according to the MAC address related information and the scan code related information, to use the code scan method to pass through the gate within the specified time period, and detected by the WiFi probe, and the number of people R _i passing through the target area;

A fifth determination sub-module, configured to determine, according to the S ₁ , the S ₂ , the S ₃ , the Qi , and the R _{i ,} the total amount of time passing through the target area within the specified time period. number of people S.

In one embodiment, the first determination sub-module includes (not shown in FIG. 4 ):

Perform the following processing on any of the MAC address related information to obtain the total number of people S ₁ detected by the WiFi probe within the specified time period:

a first search submodule, configured to search for pre-acquired user registration information according to the MAC address included in the MAC address related information, where the user registration information includes the association relationship between the user ID and the MAC address of the registered user;

The first statistics sub-module is configured to add ₁ to the total number of people S1 detected by the WiFi probe if the MAC address included in the MAC address related information is found; wherein, the initial value _of the S1 is 0;

The search sub-module cooperates with the first statistics sub-module to process information related to any one of the MAC addresses to obtain the total number of people S detected by the WiFi probe within the specified time period ₁ .

In one embodiment, the second determination sub-module includes (not shown in FIG. 4 ):

The second search sub-module is used to search for pre-acquired user registration information according to the user ID included in the code scanning related information, where the user registration information includes the association relationship between the user ID and the MAC address of the registered user;

an acquisition sub-module, configured to acquire the target MAC address associated with the user ID if the user ID included in the scan code related information is found;

The second statistics sub-module is configured to determine whether there is target MAC address related information including the target MAC address in the acquired MAC address related information, and if so, continue to judge the corresponding target MAC address related information The entry start time and entry end time of the entry behavior, and whether the scan time included in the code scan related information meets the preset judgment criteria, if so, the scan code will be used to pass through any gate. and the total number of people detected by the WiFi probe S3 is increased by ₁ ; wherein, the initial value _of the S3 is 0;

The second search sub-module, the acquisition sub-module, and the second statistics sub-module cooperate with each other to realize the processing of any of the scan code related information, and obtain the use of scan code within the specified time period. The total number _of people S3 detected by the WiFi probe through any gate in the way.

In an embodiment, the third determination submodule is specifically used for:

According to the gate number included in the code scanning related information, the number of people Qi who pass through each gate by scanning the code within the specified time period is _determined .

In one embodiment, the fourth determination sub-module is specifically used for:

If the inbound start time, inbound end time of the inbound behavior corresponding to the target MAC address related information, and the scan time included in the scan code related information meet the judgment criteria, then the target MAC address is determined. Whether the signal strength included in the address-related information is greater than the preset signal strength threshold, and if so, the number of people who will pass through the gate by scanning the code and be detected by the WiFi probe and pass through the target area R _i plus 1;

Wherein, the initial value of R _i is 0.

In one embodiment, the fifth determination sub-module includes (not shown in FIG. 4 ):

The sixth determination sub-module is configured to determine, according to the S ₁ and the S ₃ , the proportion P ₁ of users who pass through any gate by scanning the code;

The seventh determination sub-module determines the detection rate P ₂ of the WiFi probe according to the S ₂ and the S ₃ ;

The eighth determination sub-module, for any gate, according to the P ₂ and the R _i , to determine the number of people T _i who pass through the gate and the target area by scanning the code; according to the Ti and Qi of the gate _, determine the probability C _i of the user passing through the target area when passing through the gate _{; according to the P 1 and} the Qi of the gate _, determine Within a specified time period, the number of people _Mi passing through the gate;

The ninth determination sub-module determines, according to C _i and M _i of any gate, the total number of people S passing through the target area within the specified time period.

It can be understood that the first acquisition module 41, the second acquisition module 42, and the total number of people determination module 43, as three modules with independent functions, can be simultaneously configured in the device as shown in FIG. Therefore, the structure shown in FIG. 4 should not be construed as a limitation on the solutions of the embodiments of the present specification.

In addition, the implementation process of the functions and functions of each module in the above-mentioned device is detailed in the implementation process of the corresponding steps in the above-mentioned method, which will not be repeated here. Embodiments of the present specification also provide a computer device, which at least includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the aforementioned people counting method when executing the program. The method includes at least: acquiring MAC address related information detected by a WiFi probe within a specified time period; acquiring code scanning related information collected by each gate within the specified time period, the code scanning related information being a user Generated when the code scanning method is used to pass through the gate; according to the MAC address related information and the scanning code related information, the total number of people passing through the target area within the specified time period is determined.

FIG. 5 shows a more specific schematic diagram of the hardware structure of a computer device provided by an embodiment of this specification. The device may include: a processor 510 , a memory 520 , an input/output interface 530 , a communication interface 540 and a bus 550 . The processor 510 , the memory 520 , the input/output interface 530 and the communication interface 540 realize the communication connection among each other within the device through the bus 550 .

The processor 510 may be implemented by a general-purpose CPU (Central Processing Unit, central processing unit), a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute related program to implement the technical solutions provided by the embodiments of this specification.

The memory 520 may be implemented in the form of a ROM (Read Only Memory, read only memory), a RAM (Random Access Memory, random access memory), a static storage device, a dynamic storage device, and the like. The memory 520 may store an operating system and other application programs. When implementing the technical solutions provided by the embodiments of this specification through software or firmware, relevant program codes are stored in the memory 520 and invoked by the processor 55 for execution.

The input/output interface 530 is used for connecting input/output modules to realize information input and output. The input/output/module can be configured in the device as a component (not shown in the figure), or can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, and the like.

The communication interface 540 is used to connect a communication module (not shown in the figure), so as to realize the communication interaction between the device and other devices. The communication module may implement communication through wired means (eg, USB, network cable, etc.), or may implement communication through wireless means (eg, mobile network, WIFI, Bluetooth, etc.).

Bus 550 includes a path to transfer information between the various components of the device (eg, processor 510, memory 520, input/output interface 530, and communication interface 540).

It should be noted that although the above device only shows the processor 510, the memory 520, the input/output interface 530, the communication interface 540 and the bus 550, in a specific implementation process, the device may also include necessary components for normal operation. other components. In addition, those skilled in the art can understand that, the above-mentioned device may only include components necessary to implement the solutions of the embodiments of the present specification, rather than all the components shown in the figures.

Embodiments of the present specification further provide a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, implements the aforementioned method for counting people. The method includes at least: acquiring MAC address related information detected by a WiFi probe within a specified time period; acquiring code scanning related information collected by each gate within the specified time period, the code scanning related information being a user Generated when the code scanning method is used to pass through the gate; according to the MAC address related information and the scanning code related information, the total number of people passing through the target area within the specified time period is determined.

Computer-readable media includes both persistent and non-permanent, removable and non-removable media, and storage of information may be implemented by any method or technology. Information may be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Flash Memory or other memory technology, Compact Disc Read Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carrier waves.

From the description of the above embodiments, those skilled in the art can clearly understand that the embodiments of the present specification can be implemented by means of software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the embodiments of this specification or the parts that make contributions to the prior art may be embodied in the form of software products, and the computer software products may be stored in storage media, such as ROM/RAM, A magnetic disk, an optical disk, etc., includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments in this specification.

The systems, devices, modules or units described in the above embodiments may be specifically implemented by computer chips or entities, or by products with certain functions. A typical implementing device is a computer, which may be in the form of a personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media player, navigation device, email sending and receiving device, game control desktop, tablet, wearable device, or a combination of any of these devices.

Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the apparatus embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for related parts. The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated. When implementing the solutions of the embodiments of the present specification, the functions of each module may be integrated into the same module. or multiple software and/or hardware implementations. Some or all of the modules may also be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

The above are only specific implementations of the embodiments of the present specification. It should be pointed out that for those skilled in the art, without departing from the principles of the embodiments of the present specification, several improvements and modifications can be made. These Improvements and modifications should also be regarded as the protection scope of the embodiments of the present specification.

Claims (17)

1. a kind of demographic method, for counting the total number of persons in designated time period by target area, the target area In specified place, WiFi probe and multiple gate mouths are laid in the specified place, the WiFi probe is for detecting The MAC Address relevant information of equipment in the specified place, the gate mouth pass through described for barcode scanning mode for users to use Gate mouth；The described method includes:

Obtain the MAC Address relevant information that the WiFi probe at the appointed time detects in section；

Each gate mouth collected barcode scanning relevant information in the designated time period is obtained, the barcode scanning relevant information is to use Family is using barcode scanning mode by generating when gate mouth；

According to the MAC Address relevant information and the barcode scanning relevant information, determine in the designated time period by described The total number of persons of target area.

2. according to the method described in claim 1, the MAC Address relevant information includes at least: MAC Address, detection time, with And signal strength；

The barcode scanning relevant information includes at least: barcode scanning time, User ID, gate mouth ID.

3. according to the method described in claim 2, described according to the MAC Address relevant information and the barcode scanning relevant information, Determine the total number of persons for passing through the target area in the designated time period, comprising:

It according to the MAC Address relevant information, determines in the designated time period, the total people detected by the WiFi probe Number S₁；

According to the MAC Address relevant information and the barcode scanning relevant information, determines in the designated time period, use barcode scanning Mode passes through any gate mouth, and the total number of persons S detected by the WiFi probe₃；

It is determined in the designated time period for any gate mouth according to the barcode scanning relevant information, it is logical using barcode scanning mode Cross the number Q of the gate mouth_i, and determine the total number of persons S for passing through any gate mouth using barcode scanning mode₂, wherein the i is big In 0, and it is no more than the natural number of N, the N is gate mouth quantity；

It is determined when described specified for any gate mouth according to the MAC Address relevant information and the barcode scanning relevant information Between in section, using barcode scanning mode by the gate mouth, and detected by the WiFi probe, and by the target area Number R_i；

According to the S₁, the S₂, the S₃, the Q_iAnd the R_iIt determines in the designated time period, by the mesh Mark the total number of persons S in region.

4. determination is in the specified time according to the method described in claim 3, described according to the MAC Address relevant information In section, the total number of persons S that is detected by the WiFi probe₁, comprising:

It is handled as follows, obtains in the designated time period, by the WiFi for any MAC Address relevant information The total number of persons S that probe detects₁:

According to the MAC Address for including in the MAC Address relevant information, the user's registration information obtained in advance, the use are searched Family registration information includes the User ID of registered users and the incidence relation of MAC Address；

If finding the MAC Address for including in the MAC Address relevant information, the total people that will be detected by the WiFi probe Number S₁Add 1；

Wherein, the S₁Initial value be 0.

5. according to the method described in claim 3, described according to the MAC Address relevant information and the barcode scanning relevant information, It determines in the designated time period, using barcode scanning mode by any gate mouth, and is detected by the WiFi probe total Number S₃, comprising:

It is handled as follows for any barcode scanning relevant information, obtains in the designated time period, use barcode scanning mode By any gate mouth, and the total number of persons S detected by the WiFi probe₃:

According to the User ID for including in the barcode scanning relevant information, the user's registration information obtained in advance, user's note are searched Volume information includes the User ID of registered users and the incidence relation of MAC Address；

If finding the User ID for including in the barcode scanning relevant information, the associated destination-mac address of the User ID is obtained；

In accessed MAC Address relevant information, it is determined whether with there is the Destination MAC including the destination-mac address Location relevant information, and if it exists, the beginning of entering the station for the behavior that then continues to judge to enter the station corresponding to the destination-mac address relevant information Whether the barcode scanning time for including in time, the end time of entering the station, with the barcode scanning relevant information meets preset judgment criteria, if Meet, then barcode scanning mode will be used to pass through any gate mouth, and the total number of persons S detected by the WiFi probe₃Add 1；

Wherein, the S₃Initial value be 0.

6., according to the barcode scanning relevant information, being determined according to the method described in claim 3, described be directed to any gate mouth In the designated time period, pass through the number Q of the gate mouth using barcode scanning mode_i, comprising:

According to the gate mouth number for including in the barcode scanning relevant information, determines in the designated time period, use barcode scanning side The number Q that formula passes through each gate mouth_i。

7. according to the method described in claim 5, described be directed to any gate mouth, according to the MAC Address relevant information and institute Barcode scanning relevant information is stated, is determined in the designated time period, using barcode scanning mode by the gate mouth, and by the WiFi Probe detects, and by the number R of the target area_i, comprising:

If behavior of entering the station corresponding to the destination-mac address relevant information is entered the station time started, the end time of entering the station, with institute Stating the barcode scanning time for including in barcode scanning relevant information meets the judgment criteria, then continues to determine that the destination-mac address is related Whether the signal strength for including in information is greater than preset signal strength threshold, if so, it is described that barcode scanning mode will be used to pass through Gate mouth, and detected by the WiFi probe, and by the number R of the target area_iAdd 1；

Wherein, the R_iInitial value be 0.

8. according to the method described in claim 3, described according to the S₁, the S₂, the S₃, the Q_iAnd the R_i, really It is scheduled in the designated time period, by the total number of persons S of target area, comprising:

According to the S₁With the S₃, determine and use user ratio P of the barcode scanning mode by any gate mouth₁；

According to the S₂With the S₃, determine the detectivity P of the WiFi probe₂；

For any gate mouth, according to the P₂With the R_i, determine using barcode scanning mode through the gate mouth, and pass through institute State the number T of target area_i；According to the T of the gate mouth_iAnd Q_i, when determining that user passes through from the gate mouth, by described The probability C of target area_i；According to the P₁With the Q of the gate mouth_i, determine in the designated time period, pass through the lock The number M of machine mouth_i；

According to the C of any gate mouth_iAnd M_i, determine in the designated time period, by the total number of persons S of target area.

9. a kind of people counting device, for counting the total number of persons in designated time period by target area, the target area In specified place, WiFi probe and multiple gate mouths are laid in the specified place, the WiFi probe is for detecting The MAC Address relevant information of equipment in the specified place, the gate mouth pass through described for barcode scanning mode for users to use Gate mouth；Described device includes:

First obtains module, the MAC Address relevant information at the appointed time detected in section for obtaining the WiFi probe；

Second obtains module, for obtaining each gate mouth collected barcode scanning relevant information, institute in the designated time period State barcode scanning relevant information be user using barcode scanning mode by generating when gate mouth；

Total number of persons determining module determines when described specified according to the MAC Address relevant information and the barcode scanning relevant information Between in section by the total number of persons of the target area.

10. device according to claim 9, the MAC Address relevant information is included at least: MAC Address, detection time, And signal strength；

The barcode scanning relevant information includes at least: barcode scanning time, User ID, gate mouth ID.

11. device according to claim 10, the total number of persons determining module include:

First determines submodule, described for determining in the designated time period according to the MAC Address relevant information The total number of persons S that WiFi probe detects₁；

Second determines submodule, for determining in the finger according to the MAC Address relevant information and the barcode scanning relevant information It fixes time in section, passes through any gate mouth, and the total number of persons S detected by the WiFi probe using barcode scanning mode₃；

Third determines submodule, for being directed to any gate mouth, according to the barcode scanning relevant information, determines in the specified time In section, pass through the number Q of the gate mouth using barcode scanning mode_i, and determine and pass through the total of any gate mouth using barcode scanning mode Number S₂, wherein the i is the natural number greater than 0, and no more than N, and the N is gate mouth quantity；

4th determines submodule, for being directed to any gate mouth, according to MAC Address relevant information letter related to the barcode scanning Breath determines in the designated time period, using barcode scanning mode by the gate mouth, and is detected by the WiFi probe, And by the number R of the target area_i；

5th determines submodule, for according to the S₁, the S₂, the S₃, the Q_iAnd the R_iIt determines described specified In period, by the total number of persons S of the target area.

12. device according to claim 11, described first determines that submodule includes:

It is handled as follows, obtains in the designated time period, by the WiFi for any MAC Address relevant information The total number of persons S that probe detects₁:

First searches submodule, for what is obtained in advance according to the MAC Address for including in the MAC Address relevant information, lookup User's registration information, the user's registration information include the User ID of registered users and the incidence relation of MAC Address；

First statistic submodule, if for finding the MAC Address for including in the MAC Address relevant information, it will be described The total number of persons S that WiFi probe detects₁Add 1；Wherein, the S₁Initial value be 0；

The lookup submodule and first statistic submodule cooperate, and realize for any MAC Address correlation letter The processing of breath obtains in the designated time period, the total number of persons S detected by the WiFi probe₁。

13. device according to claim 11, described second determines that submodule includes:

Second searches submodule, for searching the user obtained in advance according to the User ID for including in the barcode scanning relevant information Registration information, the user's registration information include the User ID of registered users and the incidence relation of MAC Address；

Acquisition submodule, if obtaining the User ID for finding the User ID for including in the barcode scanning relevant information and closing The destination-mac address of connection；

Second statistic submodule, in accessed MAC Address relevant information, it is determined whether exist including the target The destination-mac address relevant information of MAC Address, and if it exists, then continue to judge corresponding to the destination-mac address relevant information It enters the station the entering the station time started, the end time of entering the station of behavior, it is whether full with barcode scanning time for including in the barcode scanning relevant information The preset judgment criteria of foot if satisfied, will then use barcode scanning mode by any gate mouth, and be detected by the WiFi probe Total number of persons S₃Add 1；Wherein, the S₃Initial value be 0；

Described second, which searches submodule, the acquisition submodule and second statistic submodule, cooperates, and realization is directed to The processing of any barcode scanning relevant information, obtains in the designated time period, passes through any gate mouth using barcode scanning mode, And the total number of persons S detected by the WiFi probe₃。

14. device according to claim 11, the third determines that submodule is specifically used for:

According to the gate mouth number for including in the barcode scanning relevant information, determines in the designated time period, use barcode scanning side The number Q that formula passes through each gate mouth_i。

15. device according to claim 13, the described 4th determines that submodule is specifically used for:

If behavior of entering the station corresponding to the destination-mac address relevant information is entered the station time started, the end time of entering the station, with institute Stating the barcode scanning time for including in barcode scanning relevant information meets the judgment criteria, it is determined that the destination-mac address relevant information In include signal strength whether be greater than preset signal strength threshold, if so, will use barcode scanning mode pass through the gate Mouthful, and detected by the WiFi probe, and by the number R of the target area_iAdd 1；

Wherein, the R_iInitial value be 0.

16. device according to claim 11, the described 5th determines that submodule includes:

6th determines submodule, for according to the S₁With the S₃, determine the user for passing through any gate mouth using barcode scanning mode Ratio P₁；

7th determines submodule, according to the S₂With the S₃, determine the detectivity P of the WiFi probe₂；

8th determines submodule, for any gate mouth, according to the P₂With the R_i, determine using barcode scanning mode described in Gate mouth, and by the number T of the target area_i；According to the T of the gate mouth_iAnd Q_i, determine user from the gate mouth By when, by the probability C of the target area_i；According to the P₁With the Q of the gate mouth_i, determine in the specified time In section, pass through the number M of the gate mouth_i；

9th determines submodule, according to the C of any gate mouth_iAnd M_i, determine in the designated time period, by target area Total number of persons S.

17. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor Calculation machine program, wherein the processor realizes the method according to claim 1 when executing described program.