Non-motor vehicle illegal persuasion snapshot system

Abstract

The invention discloses a non-motor vehicle illegal persuasion snapshot system. The system comprises a vehicle-mounted terminal, an intelligent sensing roadside device, a non-motor vehicle illegal analysis all-in-one machine, a non-motor vehicle management and control platform and an AI persuasion terminal. The vehicle-mounted terminal is used for being installed on a patrol car and comprises a collecting device, a vehicle-mounted edge computing device or a vehicle-mounted loudspeaker which are used for dynamically collecting patrol routes. The intelligent sensing roadside equipment is used for acquiring real-time videos or pictures in a traffic environment; the non-motor vehicle law violation analysis all-in-one machine is used for analyzing multiple paths of historical video streams through the GPU intelligent card and analyzing video stream data of different point locations at different time periods; the non-motor vehicle management and control platform is used for performing non-motor vehicle law violation type recognition, face recognition and license plate recognition according to analysis data of the non-motor vehicle law violation analysis all-in-one machine; illegal behaviors of non-motor vehicles can be effectively captured and counted, and the system can be applied to various important traffic scenes.

Description

Technical Field

[0001] This invention relates to the field of traffic management system technology, and in particular to a non-motorized vehicle violation warning and capture system. Background Technology

[0002] In recent years, with the increase in the use of electric bicycles, traffic violations by non-motorized vehicles (including electric bicycles and motorcycles not wearing motorcycle belts as required) have become a social problem that cities urgently need to solve.

[0003] Existing traffic management systems are not particularly suitable for non-motorized vehicles. Unlike motorized vehicles, non-motorized vehicles are not managed in a standardized and uniform manner, making it difficult to accurately and efficiently address violations. Currently, the management of non-motorized vehicle violations mainly relies on traffic police officers conducting on-site supervision, which is extremely costly in terms of manpower, inaccurate in screening, and very inefficient. While some technologies incorporate smart devices to inspect for non-motorized vehicle violations, the accuracy and efficiency of these systems are low, and environmental interference (such as insufficient light at night or in rainy / foggy weather) or equipment malfunctions can lead to misjudgments or missed violations.

[0004] Moreover, existing technologies for detecting violations by non-motorized vehicles lack initiative, relying solely on fixed roadside equipment for data collection; this makes it difficult to systematically analyze the data on violations, hindering intelligent management of non-motorized vehicle violations. Summary of the Invention

[0005] This invention provides a non-motorized vehicle violation warning and capture system, which effectively captures, counts, and applies non-motorized vehicle violations to various important traffic scenarios.

[0006] According to one aspect of this disclosure, a non-motorized vehicle violation warning and capture system is provided, the system comprising: an on-board terminal, intelligent sensing roadside equipment, a non-motorized vehicle violation analysis integrated machine, a non-motorized vehicle management platform, and an AI warning terminal; Among them, the vehicle-mounted terminal is used to install on the patrol vehicle and includes: dynamic data collection equipment along the patrol route, vehicle-mounted edge computing equipment or vehicle-mounted speakers; Intelligent sensing roadside equipment is used to collect real-time video or images of the traffic environment; The non-motorized vehicle violation analysis all-in-one machine is used to analyze multiple historical video streams through GPU smart cards, and to analyze video stream data from different locations at different times. The non-motorized vehicle management platform includes functions such as facial recognition and license plate recognition for identifying non-motorized vehicle violation types based on the analysis data from the integrated non-motorized vehicle violation analysis machine. The AI-powered admonition terminal is used to identify non-motorized vehicle violations based on real-time captured images and generate corresponding admonition broadcasts. It also has facial recognition capabilities.

[0007] In one possible implementation, intelligent sensing roadside devices include portable devices, roadside devices installed on the roadside, or data collection devices with mobile capabilities. Intelligent sensing roadside equipment is used to collect real-time video of non-motorized vehicle driving behavior in the road environment.

[0008] In one possible implementation, the non-motorized vehicle management platform is also used for traffic statistics, profile analysis, violation statistics, unit analysis, violation rate analysis, and intersection analysis. The statistics on illegal activities include: Rates of not wearing helmets, setting up tents, using umbrellas, illegally carrying passengers, driving in motor vehicle lanes, crossing the line to park, and driving in the wrong direction.

[0009] In one possible implementation, non-motorized vehicle violations include: not wearing a helmet, setting up canopies or umbrellas, parking beyond the line, illegally carrying passengers, and driving in the wrong direction.

[0010] In one possible implementation, the AI-powered persuasion terminal can be installed either on the roadside or on a patrol vehicle. Power source: Existing power grid infrastructure; Connection method: Wired connection to the existing local area network; Video access: Utilize the existing video surveillance network to access the following networks: electronic alarm, checkpoint, Skynet, and Skynet video resources; In one possible implementation, a front-facing camera and a rear-facing camera on the vehicle terminal are used to collect video of non-motorized vehicle behavior along the patrol route. The vehicle-mounted edge computing device is used to identify non-motorized vehicle violations based on the collected video and generate admonitory voice messages.

[0011] In one possible implementation, the non-motorized vehicle management platform includes: a violation query module, a traffic statistics module, a violation trend module, and an equipment operation and maintenance module; The illegal activity query module is used to query the total number and type of illegal activities based on a time period. The traffic statistics module supports querying the total non-motorized vehicle traffic flow at intersections based on the direction of the device. The illegal behavior trend module analyzes illegal activities by daily, weekly, and monthly statistics and generates charts to display the illegal data trend. The equipment operation and maintenance module is used for equipment query, equipment status monitoring, real-time location of equipment, line marking, and playback strategy setting.

[0012] In one possible implementation, the intelligent sensing roadside equipment includes an AI camera with multi-target tracking and behavior analysis capabilities, which is linked with audible and visual alarm devices to achieve road early warning.

[0013] Compared with the prior art, the beneficial effects of the present invention are: Multi-source access: Supports access to real-time video, historical video, and images from systems such as traffic police, checkpoints, surveillance cameras, and Skynet; Precise perception: Automatically identifies violations by non-motorized vehicle drivers, such as not wearing helmets, illegally carrying passengers, driving against traffic, installing rain canopies, parking beyond the line, and driving in the motor vehicle lane, with an accuracy rate of 90%+. Intelligent analysis: traffic statistics, violation rate statistics, trend analysis, evaluation ranking, etc.

[0014] Assisting law enforcement: facial recognition of non-motorized vehicle drivers and license plate recognition of non-motorized vehicles.

[0015] Precise governance: Supports facial and license plate comparison, SMS reminders, assists law enforcement, and governance of key units, key intersections, and key industries. Attached Figure Description

[0016] Figure 1 A block diagram of a non-motorized vehicle violation warning and capture system according to an embodiment of the present disclosure is shown. Detailed Implementation

[0017] Various exemplary embodiments, features, and aspects of this disclosure will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0018] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0019] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.

[0020] According to one aspect of this disclosure, a non-motorized vehicle violation warning and capture system is provided, the system comprising: an on-board terminal, intelligent sensing roadside equipment, a non-motorized vehicle violation analysis integrated machine, a non-motorized vehicle management platform, and an AI warning terminal; Among them, the vehicle-mounted terminal is used to install on the patrol vehicle and includes: dynamic data collection equipment along the patrol route, vehicle-mounted edge computing equipment or vehicle-mounted speakers; Intelligent sensing roadside equipment is used to collect real-time video or images of the traffic environment; The non-motorized vehicle violation analysis all-in-one machine is used to analyze multiple historical video streams through GPU smart cards, and to analyze video stream data from different locations at different times. The non-motorized vehicle management platform includes functions such as facial recognition and license plate recognition for identifying non-motorized vehicle violation types based on the analysis data from the integrated non-motorized vehicle violation analysis machine. The device uses a GPU smart card, and a single all-in-one machine supports the analysis of 100 historical video streams. The illegal analysis tasks can be dynamically allocated (e.g., video streams from different locations can be analyzed at different times). The data sources are abundant, and the data is utilized to the maximum extent. There is no need to build new cameras at the front end, the deployment of the back-end all-in-one machine is convenient, and the algorithm can be flexibly scheduled.

[0021] By making full use of the video resources from a large number of video surveillance cameras built through projects such as the Skynet Project, Safe City, and Intelligent Transportation, the original cameras were transformed from ordinary to intelligent, and from input to output, at a relatively low engineering cost.

[0022] For example, connecting the non-motorized vehicle management platform to the public security network's non-motorized vehicle management platform helps traffic police obtain visualized data, conduct intelligent analysis, and punish violators through facial recognition or license plate comparison.

[0023] For example, at the software level, police officer apps and management apps can be configured. The AI-powered admonition terminal is used to identify non-motorized vehicle violations based on real-time captured images and generate corresponding admonition broadcasts. It also has facial recognition capabilities.

[0024] Intelligent sensing roadside equipment can utilize existing electronic police, checkpoint, surveillance, and Skynet video resources; AI-powered advising terminals can be deployed on patrol motorcycles: For example, a front-facing camera is installed at the front of the motorcycle, a rear-facing camera is installed at the rear of the motorcycle, and an onboard edge computing terminal and onboard speakers are installed on the motorcycle body. Patrol motorcycles can collect data on illegal activities and provide timely reminders during patrols.

[0025] For example, features include facial recognition login, detection of riders not wearing helmets, detection of riders using mobile phones, detection of riders smoking, pedestrian warnings ahead and behind, seat gravity detection for unattended parking, GPS speeding warnings, GPS electronic fences, display screen functionality, sound and light alarm functionality, obstacle parking, OTA upgrades, vehicle network data synchronization, real-time video, historical video, emergency riding, night riding, abnormal vibration, abnormal vehicle movement, weak satellite positioning signal at parking location, low battery, and full battery.

[0026] In one possible implementation, intelligent sensing roadside devices include portable devices, roadside devices installed on the roadside, or data collection devices with mobile capabilities. Intelligent sensing roadside equipment is used to collect real-time video of non-motorized vehicle driving behavior in the road environment.

[0027] In one possible implementation, the non-motorized vehicle management platform is also used for traffic statistics, profile analysis, violation statistics, unit analysis, violation rate analysis, and intersection analysis. The statistics on illegal activities include: Rates of not wearing helmets, setting up tents, using umbrellas, illegally carrying passengers, driving in motor vehicle lanes, crossing the line to park, and driving in the wrong direction.

[0028] In one possible implementation, non-motorized vehicle violations include: not wearing a helmet, setting up canopies or umbrellas, parking beyond the line, illegally carrying passengers, and driving in the wrong direction.

[0029] In one possible implementation, the AI-powered persuasion terminal can be installed either on the roadside or on a patrol vehicle. For example, the camera of the AI-powered traffic guidance terminal can identify violations such as drivers not wearing helmets, illegally carrying passengers, driving in motor vehicle lanes, installing rain canopies, driving in the wrong direction, and parking beyond the line. It can broadcast the violations in seconds, effectively reminding and stopping traffic violations that have not yet occurred or are in the process of occurring.

[0030] AI-powered guidance terminals can also be deployed using existing equipment: Power supply method: based on existing power grid infrastructure; Connection method: Wired connection to the existing local area network; Video access: Utilize the existing video surveillance network to access the following networks: electronic alarm, checkpoint, Skynet, and Skynet video resources; In one possible implementation, a front-facing camera and a rear-facing camera on the vehicle terminal are used to collect video of non-motorized vehicle behavior along the patrol route. The vehicle-mounted edge computing device is used to identify non-motorized vehicle violations based on the collected video and generate admonitory voice messages.

[0031] The AI-powered traffic guidance terminal has a built-in SIM card, which can send the collected data to the non-motorized vehicle management platform in real time. It can also view relevant information such as violation data, violation photos and videos, and visualized data charts at various intersections in real time.

[0032] In one possible implementation, the non-motorized vehicle management platform includes: a violation query module, a traffic statistics module, a violation trend module, and an equipment operation and maintenance module; The illegal activity query module is used to query the total number and type of illegal activities based on a time period. The traffic statistics module supports querying the total non-motorized vehicle traffic flow at intersections by device direction; total non-motorized vehicle traffic flow at intersections (supports querying by device direction). Statistics are also available by violation type.

[0033] The illegal behavior trend module analyzes illegal activities by daily, weekly, and monthly statistics and generates charts to display the illegal data trend. The equipment operation and maintenance module is used for equipment query, equipment status monitoring, real-time location of equipment, line marking, and playback strategy setting.

[0034] In one possible implementation, the intelligent sensing roadside equipment includes an AI camera with multi-target tracking and behavior analysis capabilities, which is linked with audible and visual alarm devices to achieve road early warning.

[0035] Automatic patrol reporting of comprehensive information including vehicle license plate, model, location, speed, time, and panoramic vehicle image. Real-time location tracking, real-time video, historical trajectory data, driving data, officer management, vehicle management, and attendance management.

[0036] The advantages of this application are as follows: high dynamic range image processing, high dynamic range region of interest exposure, small target detection and tracking, high dynamic range license plate detection and tracking clarity judgment and correction, high dynamic range face detection, small font text recognition, dynamic user accurate profiling, and non-motor vehicle attribute recognition.

[0037] Target detection, recognition and classification, region segmentation, and scene classification enable accurate perception of non-motorized vehicle information, non-motorized vehicle traffic scenes, weather conditions such as rain, snow, fog, and no-driving zone markings, and regions.

[0038] Multi-target tracking and recognition, multi-camera spatiotemporal fusion, and non-motorized vehicle traffic behavior detection; actual test results show an accuracy rate of over 90% for face recognition, license plate recognition, and six types of traffic violations.

[0039] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A non-motorized vehicle violation warning and capture system, characterized in that, The system includes: vehicle-mounted terminal, intelligent sensing roadside equipment, non-motorized vehicle violation analysis integrated machine, non-motorized vehicle management platform, and AI persuasion terminal; Among them, the vehicle-mounted terminal is used to install on the patrol vehicle and includes: dynamic data collection equipment along the patrol route, vehicle-mounted edge computing equipment or vehicle-mounted speakers; Intelligent sensing roadside equipment is used to collect real-time video or images of the traffic environment; The non-motorized vehicle violation analysis all-in-one machine is used to analyze multiple historical video streams through GPU smart cards, and to analyze video stream data from different locations at different times. The non-motorized vehicle management platform includes functions such as facial recognition and license plate recognition for identifying non-motorized vehicle violation types based on the analysis data from the integrated non-motorized vehicle violation analysis machine. The AI-powered admonition terminal is used to identify non-motorized vehicle violations based on real-time captured images and generate corresponding admonition broadcasts. It also has facial recognition capabilities.

2. The non-motorized vehicle violation warning and capture system according to claim 1, characterized in that, Intelligent sensing roadside equipment includes portable devices, roadside equipment installed on the roadside, or data collection devices with mobile capabilities; Intelligent sensing roadside equipment is used to collect real-time video of non-motorized vehicle driving behavior in the road environment.

3. The non-motorized vehicle violation warning and capture system according to claim 1, characterized in that, The non-motorized vehicle management platform is also used for traffic statistics, profile analysis, violation statistics, unit analysis, violation rate analysis, and intersection analysis. The statistics on illegal activities include: Rates of not wearing helmets, setting up tents, using umbrellas, illegally carrying passengers, driving in motor vehicle lanes, crossing the line to park, and driving in the wrong direction.

4. The non-motorized vehicle violation warning and capture system according to claim 1, characterized in that, Non-motorized vehicle violations include: not wearing a helmet, setting up canopies or umbrellas, parking beyond the line, illegally carrying passengers, and driving against the flow of traffic.

5. The non-motorized vehicle violation warning and capture system according to claim 1, characterized in that, The installation locations for AI-powered guidance terminals include: installation on the roadside or on patrol vehicles; Power source: Existing power grid infrastructure; Connection method: Wired connection to the existing local area network; Video access: Utilize the existing video surveillance network to access the following networks: electronic police, checkpoints, Skynet, and Skynet video resources.

6. The non-motorized vehicle violation warning and capture system according to claim 1, characterized in that, The vehicle-mounted terminal has a front-facing camera and a rear-facing camera to collect videos of non-motorized vehicle behavior along the patrol route. The vehicle-mounted edge computing device is used to identify non-motorized vehicle violations based on the collected videos and generate admonitory voice messages.

7. The non-motorized vehicle violation warning and capture system according to claim 1, characterized in that, The non-motorized vehicle management platform includes: a violation query module, a traffic statistics module, a violation trend module, and an equipment operation and maintenance module; The illegal activity query module is used to query the total number and type of illegal activities based on a time period. The traffic statistics module supports querying the total non-motorized vehicle traffic flow at intersections based on the direction of the device. The illegal behavior trend module analyzes illegal activities by daily, weekly, and monthly statistics and generates charts to display the illegal data trend. The equipment operation and maintenance module is used for equipment query, equipment status monitoring, real-time location of equipment, line marking, and playback strategy setting.

8. The non-motorized vehicle violation warning and capture system according to claim 1, characterized in that, Intelligent sensing roadside equipment includes AI cameras, which have the functions of multi-target tracking and behavior analysis, and can be linked with sound and light alarm devices to realize road early warning.

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