Technical application of SkeyeVSS video fusion platform in traffic violation management based on AI intelligent analysis gateway platform
The SkeyeVSS national standard video convergence cloud platform supports multi-protocol and multi-type device access. It can quickly connect front-end devices deployed at various points in various regions, and aggregate massive video resources to the platform for intelligent identification and analysis, surveillance video viewing, capture, Recording and storage, video stream distribution, alarm message push, video data sharing and other services provide flat, visual and comprehensive video aggregation and integration management capabilities.
In addition, based on advanced technologies such as video surveillance technology, network transmission technology, GIS geographical information technology, and AI image intelligent recognition technology, the transmission data of all front-end sensing devices can be aggregated and managed, intelligently analyzed, processed and distributed, and early warning pushed, etc., which can provide multiple Solutions for the illegal management of motor vehicles, non-motor vehicles and other objects in various traffic violation scenarios, including illegal driving of non-motor vehicles, capture of motor vehicles not yielding to zebra crossings, violations of motor vehicle licenses and licenses, illegal parking of motor vehicles, running red lights, etc., to achieve Comprehensive, three-dimensional and visual monitoring of traffic scenes assists traffic police in off-site law enforcement and helps traffic control departments establish scientific, sound and effective smart traffic management and monitoring and early warning systems.
1. Control of non-motor vehicle violations
The system can automatically identify vehicle license plates and capture and collect evidence for violations such as driving in the wrong direction, running red lights, not wearing helmets, and driving on motor vehicle lanes, effectively reducing non-motor vehicle traffic violations.
2. Motor vehicles do not give way to zebra crossings to capture photos
The system detects the traffic information of motor vehicles and the running direction and number of pedestrians in real time through front-end equipment deployed at intersections or roads, automatically captures information about illegal vehicles that do not yield to pedestrians, and provides a new method of law enforcement and evidence collection for traffic management departments. By means of this method, we can control the behavior of not giving way to pedestrians at zebra crossings, thereby standardizing the driving behavior of drivers and creating a traffic environment of "giving way to pedestrians and driving in a civilized manner".
3. Motor vehicle licensing control
Based on technologies such as image feature recognition and big data retrieval and comparison, the system can identify and judge illegal behaviors such as intentional blocking, defacement and installation of light strips by vehicles, making it easier for the traffic control department to standardize the management of motor vehicles.
4. Control over drivers’ license-related violations
Manage and control people who have lost their driving qualifications but still drive vehicles, and assist road police in on-site disposal through means such as road traffic capture comparison, real-time target warning, multi-dimensional identity confirmation, travel pattern analysis, disposal strategy recommendation, disposal information push, etc. , to achieve closed-loop management of personnel involved in license violations and improve the efficiency of police deployment.
5. Illegal parking permit collection
Using machine vision to extract vehicle targets, automatically determine violations, automatically focus and enlarge targets, and automatically identify and extract license plates, combined with sound and light alarm equipment to provide timely and effective reminders of illegal parking behaviors, can alleviate the lack of on-site police force of the traffic management department. question and urge people to park in a civilized manner.
6. Road vehicle intelligent monitoring records
Through technical means such as capturing pictures of motor vehicles, identifying vehicle license plates, collecting vehicle characteristic data, deploying control comparisons and alarms, and intercepting police at inspection stations, we conduct year-round uninterrupted analysis of the composition, traffic distribution, and violations of road vehicles. Automatic recording. Achieve rapid correction of traffic violations and rapid detection of illegal incidents such as traffic accident escapes, motor vehicle thefts, and cheating cases, while providing important traffic data for traffic management, traffic planning, and road maintenance.
7. Automatic capture of motor vehicles running red lights
When there is an illegal vehicle running a red light, the front-end capture unit captures images of the vehicle. It can also provide clues and evidence for illegal activities such as traffic accidents and car-related cases, and can pass vehicle records. The application of this scenario can help reduce the illegal behavior of running red lights at intersections, improve the quality of drivers, improve the traffic order at intersections, and assist in optimizing urban traffic operations.
8. Pedestrians are afraid of being caught if they run a red light
The system uses video processing and pattern recognition technology to detect pedestrians running red lights in real time. When pedestrians cross red lights indiscriminately, it can clearly capture the process of pedestrians running red lights and traffic light status information, and automatically identify the pictures captured by the camera. This scenario application can provide warnings. Passers-by abide by traffic laws, reduce the incidence of accidents involving pedestrians crossing red lights, and improve citizens' traffic quality.
Conclusion:
Today, with technology empowering innovation and development, AI+ video surveillance technology plays a very important role in urban traffic management. The end-edge-cloud integrated video convergence solution based on the AI intelligent analysis gateway platform SkeyeVSS creates an AI platform that integrates core capabilities such as video collection, network transmission, analysis and calculation, video storage, and related applications to provide traffic management and civilized services. Urban Construction provides device-side video analysis services to help solve traffic management problems such as blacklisting motor vehicle crimes, investigating hit-and-run cases, and analyzing traffic conditions.