WO2025196612A1 - Procédé de détermination de détails de véhicule - Google Patents

Procédé de détermination de détails de véhicule

Info

Publication number
WO2025196612A1
WO2025196612A1 PCT/IB2025/052771 IB2025052771W WO2025196612A1 WO 2025196612 A1 WO2025196612 A1 WO 2025196612A1 IB 2025052771 W IB2025052771 W IB 2025052771W WO 2025196612 A1 WO2025196612 A1 WO 2025196612A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle
data
identification
recorded data
machine
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.)
Pending
Application number
PCT/IB2025/052771
Other languages
English (en)
Inventor
Emmanuel MOKUTU
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.)
Individual
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of WO2025196612A1 publication Critical patent/WO2025196612A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • 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
    • G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G06V20/625—License plates
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors

Definitions

  • This invention relates to a method for ascertaining details from a motor vehicle more specifically but not exclusively a method for ascertaining various details from a motor vehicle and cross referencing said details to confirm the validity thereof.
  • motor vehicles have become an integral part of daily life, playing a crucial role in transportation and commerce.
  • One fundamental aspect of policing and motor vehicle management is the ability to access pertinent information rapidly and reliably about a vehicle. This information may encompass details such as the vehicle's make, model, year of manufacture, ownership status, registration status, and compliance with local and/or national regulations. Moreover, the ability to efficiently crossreference this information against various databases and records can have far-reaching implications, from ensuring road safety and verifying vehicle ownership to aiding in the prevention and investigation of criminal activities.
  • the present invention introduces an innovative method that leverages technological advancements to streamline the process of ascertaining and comparing details from motor vehicles.
  • the method offers a more efficient, accurate, and comprehensive solution for identifying, verifying, and cross-referencing critical vehicle information.
  • the invention acknowledges the increasing importance of realtime data access and communication.
  • the ability to swiftly and securely access and share motor vehicle details is essential for various stakeholders, including law enforcement agencies, regulatory bodies, insurance companies, and private individuals.
  • the invention represents a significant advancement in the field of motor vehicle management and identification.
  • it offers a robust solution for ascertaining, comparing, and utilizing critical vehicle details efficiently and accurately.
  • the present invention stands as a pioneering development that can address current challenges while opening up new possibilities for the future of motor vehicle management and security.
  • the method includes the steps of utilizing digital camera technology to identify and record data relating to: a licence plate attached to a vehicle; a machine readable image attached to the vehicle; and an identifier which is not visible to the naked eye on a surface of the vehicle; comparing the recorded data to a database of known vehicle identification data and establishing whether there is a nexus between the recorded data and the database; and sending a message with information relating to the nexus between the recorded data to an output device.
  • the method further includes the step of utilizing various digital camera technologies over a distance to identify and record data.
  • the method further includes the step wherein the licence plate may be a string of alpha numeric characters associated with the vehicle.
  • the method further includes the step wherein the machine readable image may be a bar code, a QR code or any other appropriate image.
  • the method further includes the step wherein the machine readable image may be printed on a licence disc.
  • the method further includes the step wherein the machine readable image may be displayed through a window of the vehicle.
  • the method further includes the step wherein the identifier may be a micro dot, a data dot or any other particle found on a surface of a vehicle.
  • the method further includes the step wherein the identifier includes vehicle identification details such as a vehicle identification number (“VIN”), engine number, chassis number or any other unique identifier.
  • VIN vehicle identification number
  • the method further includes the step wherein the recorded data may include data which pertains to the make, model of and/or aftermarket additions to the vehicle.
  • the method further includes the step wherein the output device may be a computer screen, a visual output, an audio output or any other appropriate output device.
  • the output device may be a computer screen, a visual output, an audio output or any other appropriate output device.
  • the method further includes the step wherein if a traffic violation is detected as part of the data recording, an automatically generated electronic fine is sent to a person associated with the vehicle.
  • the method further includes the step wherein the system is capable of identifying altered, tampered, or defaced number plates using image processing algorithms.
  • the method further includes the step wherein data may be recorded in multiple formats, including images, video, and metadata, to enhance identification accuracy.
  • the method further includes the step wherein the machine-readable image is embedded with encrypted authentication codes to verify legitimacy.
  • the method further includes the step wherein ultraviolet or infrared imaging technology is utilized to detect hidden security features on the vehicle surface.
  • the method further includes the step wherein the data comparison includes matching against real-time law enforcement and stolen vehicle databases.
  • the method further includes the step wherein anomalies detected in the data comparison trigger automatic alerts to relevant authorities.
  • the method further includes the step wherein vehicles flagged for fraudulent or suspicious activity are automatically tracked using geolocation-based identification.
  • the method further includes the step wherein real-time notifications are sent to registered vehicle owners regarding any unauthorized access or identification attempts.
  • the method further includes the step wherein the system integrates with existing traffic and surveillance networks to improve enforcement efficiency.
  • the method further includes the step wherein artificial intelligence and machine learning algorithms continuously improve accuracy in vehicle identification and fraud detection.
  • the method further includes the step wherein tamper-proof blockchain technology is implemented to maintain a secure, verifiable record of vehicle identification history.
  • the method further includes the step wherein biometric verification, such as facial recognition or fingerprint scanning, is incorporated to validate authorized vehicle usage.
  • biometric verification such as facial recognition or fingerprint scanning
  • the method further includes the step wherein an auditable log of all identification attempts is maintained for legal and investigative purposes.
  • the invention further provides for a method for ascertaining details from a motor vehicle.
  • the method includes the steps of utilizing digital camera technology to identify and record data relating to: a licence plate attached to a vehicle; a machine readable image attached to the vehicle; and a unique identifier on a surface of the vehicle; comparing the recorded data to a database of known vehicle identification data and establishing whether there is a nexus between the recorded data and the database; and sending a message with information relating to the nexus between the recorded data to an output device.
  • the invention further provides for a method for ascertaining details from a motor vehicle.
  • the method includes the steps of utilizing digital camera technology to identify and record data relating to: a licence plate attached to a vehicle; a machine readable image attached to the vehicle; and a blemish on a surface of the vehicle; comparing the recorded data to a database of known vehicle identification data and establishing whether there is a nexus between the recorded data and the database; and sending a message with information relating to the nexus between the recorded data to an output device.
  • Figure 1 shows a schematic representation of a method for ascertaining details from a motor vehicle.
  • a method for ascertaining details from a motor vehicle is generally depicted by reference numeral 1 .
  • the method 1 utilizes digital camera technology by placing a high-resolution, multi-spectral camera 2 with an optical zoom lens and infrared (IR) capability close to where a vehicle 3 may pass by.
  • the aim of the camera 2 is to be able to accurately obtain high-fidelity visual data from the vehicle 3 in varying lighting and weather conditions.
  • the camera 2 will in one instance obtain data from a number plate 4 which is attached to the front and/or the rear of the vehicle 3.
  • the number plate 4 is the standard number plate as used all over the world and comprises a string of characters, usually alpha numeric characters in embossed or printed form, which may include reflective coatings to enhance visibility under low-light conditions.
  • the camera 2 will in a following instance obtain data from machine readable image such as a barcode 5 which is printed on a licence disc visible through a windscreen of the vehicle 3.
  • the camera 2 will also obtain data from a unique identifier 6.
  • This identifier is not visible to the naked eye, is embedded within or applied onto the vehicle’s surface as part of a security marking. Examples of such identifiers are micro dots or data dots which contain data, laser etched onto a 10mm dot and applied to eight key areas of the vehicle giving it a unique DNA.
  • the identifier 6 includes vehicle identification details such as a vehicle identification number (“VIN”), engine number, chassis number or any other unique identifier.
  • the data recorded by the camera 2 is processed in real-time using edge computing techniques and is stored in an appropriate storage means (not shown), which may include local memory, cloud-based storage, or an encrypted, tamper-proof database.
  • the data is then relayed to a computer wherein the processed data recorded is compared to a database 7 of known vehicle identification data.
  • the computer utilizes artificial intelligence (Al) and machine learning algorithms for pattern recognition and anomaly detection, ensuring accuracy even in cases of partial obstruction or damage to identifiers.
  • Al artificial intelligence
  • the computer then establishes whether there is a nexus between the recorded data and the database 7 and can trigger an alert or automated response if discrepancies or unauthorized modifications are detected.
  • a signal is sent to an output device to inform a police officer that the vehicle has the correct license and identification information.
  • a signal is sent to an output device to inform a police officer that the vehicle may display fraudulent information and that further investigation is required.
  • a secondary camera which is spaced apart from the camera 2 may be used to record data relating to the vehicle 2 from another angle.
  • the system may incorporate a network of multiple cameras positioned at strategic locations to capture data from different angles simultaneously, ensuring comprehensive coverage even in high-traffic areas.
  • artificial intelligence may be used to scan and identify bumps, dents, scratches and/or other unique blemishes.
  • PCT/IB2021/052722 for instance describes a recordal system for identifying and recording blemishes found on a vehicle, and comprises a digital camera to scan the vehicle to identify any blemishes and a storage means for storing the locations of the blemishes on the vehicle.
  • artificial intelligence may be leveraged to analyse variations in a vehicle's condition over time by comparing newly recorded images with historical data, enabling predictive analytics for maintenance or forensic investigations.
  • the system may also automatically detect and report violations.
  • PCT/IB2014/059523 for instance, relates to a method and system for automatically detecting and reporting a traffic law violation.
  • the system includes a law enforcement device having a camera which is operable to capture still or video footage of an infringing vehicle committing a law violation and a communication module which is operable to communicate with a remote control station.
  • the method includes detecting a traffic law violation, obtaining vehicle information, automatically querying the database in order to locate contact details of the recipient associated with the infringing vehicle; and automatically generating and sending an electronic fine to the recipient.
  • the recorded data may include data which pertains to the physical appearance of the vehicle such as the make, model of and/or aftermarket additions to the vehicle.
  • Artificial intelligence may also be incorporated to scan the vehicle for other identifying characteristics such as vinyl stickers and decals.
  • the machine readable image may be a QR code or any other appropriate image.
  • the method may also include the step wherein the output device may be a computer screen, a visual output, an audio output or any other appropriate output device.
  • the output device may be a computer screen, a visual output, an audio output or any other appropriate output device.
  • system may be capable of identifying altered, tampered, or defaced number plates using image processing algorithms.
  • the data recorded may be stored in multiple formats, including images, video, and metadata, to enhance identification accuracy and support investigative processes.
  • the system may further include a machine-readable image that is embedded with encrypted authentication codes to verify legitimacy and prevent counterfeiting.
  • ultraviolet or infrared imaging technology may be utilized to detect hidden security features present on the surface of the vehicle.
  • the system may further compare recorded data against real-time law enforcement and stolen vehicle databases to improve security and streamline investigations.
  • an automatic alert may be triggered and sent to the relevant authorities for immediate action.
  • Vehicles that are flagged for fraudulent or suspicious activity may be automatically tracked using geolocation-based identification techniques to assist in law enforcement operations.
  • real-time notifications may be sent to registered vehicle owners in the event of any unauthorized access attempts or identification inconsistencies.
  • the system may be integrated with existing traffic surveillance networks to enhance enforcement efficiency and facilitate large-scale monitoring.
  • Tamper-proof blockchain technology may be implemented to create a secure and verifiable record of vehicle identification history.
  • Biometric verification such as facial recognition or fingerprint scanning, may be incorporated into the system to further validate authorized vehicle usage and enhance security measures.
  • the system may also maintain an auditable log of all identification attempts, providing a comprehensive record for legal and investigative purposes.
  • the method may further include real-time integration with national traffic monitoring systems to automatically flag repeat offenders and generate traffic violation heat maps for improved law enforcement resource allocation.
  • the system may incorporate deep-learning algorithms to distinguish between factory-original vehicle components and modifications, assisting in the identification of stolen or fraudulently altered vehicles.
  • the machine-readable image may be a QR code or any other appropriate image
  • the output device may further include an automated response system that can generate alerts, push notifications, or audio messages in multiple languages to cater to diverse user bases.
  • the method may further integrate with smart city infrastructure, allowing data collected from vehicle inspections to be used for urban planning, congestion monitoring, and automated toll collection. It is envisaged that incorporating the concept described herein to form part of all future traffic roadblocks or vehicle inspection operations.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Traffic Control Systems (AREA)

Abstract

La présente invention concerne un procédé (1) d'obtention et de vérification de détails de véhicule, en particulier par référencement croisé de données collectées pour confirmer sa validité. Un appareil de prise de vues (2) est positionné à proximité d'un emplacement où un véhicule (3) peut passer. L'appareil de prise de vues (2) capture des données à partir de la plaque d'immatriculation (4) du véhicule, une image lisible par machine telle qu'un code-barres (5) associé au véhicule, et un identifiant unique (6) qui n'est pas visible à l'œil nu. Les données collectées sont ensuite comparées à une base de données d'enregistrements d'identification de véhicule connus pour déterminer si un lien entre les données collectées existe. Un message contenant les résultats de cette vérification est ensuite transmis à un dispositif de sortie.
PCT/IB2025/052771 2024-03-18 2025-03-17 Procédé de détermination de détails de véhicule Pending WO2025196612A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ZA202308879 2024-03-18
ZA2023/08879 2024-03-18

Publications (1)

Publication Number Publication Date
WO2025196612A1 true WO2025196612A1 (fr) 2025-09-25

Family

ID=97140373

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2025/052771 Pending WO2025196612A1 (fr) 2024-03-18 2025-03-17 Procédé de détermination de détails de véhicule

Country Status (1)

Country Link
WO (1) WO2025196612A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014141017A1 (fr) * 2013-03-14 2014-09-18 Mokutu Emmanuel Procédé et système de détection et de compte-rendu automatique d'une infraction au code de la route
DE102014201156A1 (de) * 2014-01-23 2015-07-23 Robert Bosch Gmbh Verfahren und Vorrichtung zum Melden eines Kennzeichens eines gesuchten Fahrzeugs
DE102016000532B4 (de) * 2016-01-21 2019-04-25 Jenoptik Robot Gmbh Verfahren und Vorrichtung zum Betreiben eines Verkehrsüberwachungsgerätes, Verkehrsüberwachungsgerät und Verkehrsüberwachungssystem
DE102018207750A1 (de) * 2018-05-17 2019-11-21 Siemens Aktiengesellschaft Identifikation eines Fahrzeugs und/oder Ermittlung einer relativen Position des Fahrzeugs gegenüber einer Ladestation
WO2022157557A1 (fr) * 2021-01-25 2022-07-28 Mokutu Emmanuel Système d'enregistrement

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014141017A1 (fr) * 2013-03-14 2014-09-18 Mokutu Emmanuel Procédé et système de détection et de compte-rendu automatique d'une infraction au code de la route
DE102014201156A1 (de) * 2014-01-23 2015-07-23 Robert Bosch Gmbh Verfahren und Vorrichtung zum Melden eines Kennzeichens eines gesuchten Fahrzeugs
DE102016000532B4 (de) * 2016-01-21 2019-04-25 Jenoptik Robot Gmbh Verfahren und Vorrichtung zum Betreiben eines Verkehrsüberwachungsgerätes, Verkehrsüberwachungsgerät und Verkehrsüberwachungssystem
DE102018207750A1 (de) * 2018-05-17 2019-11-21 Siemens Aktiengesellschaft Identifikation eines Fahrzeugs und/oder Ermittlung einer relativen Position des Fahrzeugs gegenüber einer Ladestation
WO2022157557A1 (fr) * 2021-01-25 2022-07-28 Mokutu Emmanuel Système d'enregistrement

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
LUBNA, MUFTI NAVEED, SHAH SYED AFAQ ALI: "Automatic Number Plate Recognition:A Detailed Survey of Relevant Algorithms", SENSORS, MDPI, CH, vol. 21, no. 9, 26 April 2021 (2021-04-26), CH , pages 1 - 35, XP093360577, ISSN: 1424-8220, DOI: 10.3390/s21093028 *

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