In recent years, with the improvement of China’s overall strength and national income level, motor vehicles have grown at a rapid rate of 10% to 20% every year. The pace of road construction has been accelerating, and the level of urbanization in the country has also been continuously improved. The current situation and demand for traffic management are contradictory. Further intensifying, the number of traffic-related criminal and public security cases has also been increasing year by year, especially cases such as driving away along highways after an accident or committing crimes, stolen motor vehicles, and illegal driving of vehicles. Under this circumstance, how to use advanced scientific and technological means to improve the level of urban traffic management, suppress traffic accidents, crack down on car-related cases, deter criminals, and improve the level of comprehensive management of public security have become the urgent problems to be resolved by the current public security and transportation departments.
solution
High-definition bayonet system adopts integrated high-definition camera, supports coil, video, radar and other triggering methods to achieve vehicle image capture, vehicle number plate identification and other vehicle characteristics data collection and recording, can automatically capture traffic violations such as vehicle speeding , And can carry out the dynamic deployment of vehicles, to theft, piracy, illegal blacklist, escape accidents, committing suspicious vehicles committing an alarm.
Highlights of the project
1) The application of high density integrated camera technology to improve the stability of the bayonet front-end system
High-definition camera adopts high-definition CCD + high-definition ISP + high-performance DSP architecture design, set high-definition video capture, high-definition video processing, license plate recognition and other core functions in one.
The ISP processing algorithm has independent intellectual property rights and can be optimized for the unique environment of the site to ensure high-definition image imaging quality is better than similar products. High-performance DSP can run algorithms such as license plate recognition, car body color identification and virtual coil detection simultaneously. The algorithms all have independent intellectual property rights and are conducive to algorithm optimization. The video detection mode can be extended to non-motorized and pedestrian-triggered shots.
2) Support multiple vehicle feature recognition to provide more search condition options
The bayonet system can realize number plate recognition, car body color identification, vehicle identification, vehicle logo recognition, vehicle sub-brand recognition, and functions such as unseated seat belt detection, open sun visor, call detection and face feature maps.
3) The combination of intelligent analysis applications and deep data mining provides more useful evidence
In addition to front-end cameras with vehicle feature recognition, a centralized image secondary recognition system can be deployed at the center to ensure the accuracy of vehicle feature recognition. On this basis, a large amount of vehicle information can be used to judge vehicle information through the big data system, and more accurately. Carry out business development such as fake deck car analysis and follow-up car related analysis.
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