The 'rear unmanned traffic enforcement equipment' is a type of enforcement device that captures the rear license plate of vehicles to detect traffic violations and impose fines.
It recognizes the rear license plates of all vehicles, including regular vehicles (four-wheelers) as well as motorcycles (two-wheelers). In South Korea, traffic enforcement CCTV systems have traditionally captured the front license plates of vehicles, making it difficult to enforce regulations on two-wheelers like motorcycles that display rear license plates. This equipment overcomes that limitation.
The rear unmanned traffic enforcement equipment is based on video data, providing a wider detection range than existing traffic enforcement CCTV. Unlike the 'loop detection sensor embedded method,' which detects vehicles through loop coils embedded in the road, this system uses a big data-based AI video analysis system. It can accurately detect various objects on the road, including regular vehicles, motorcycles, bicycles, and pedestrians.
In particular, motorcycles are monitored for specific violations such as speeding, running red lights, not wearing helmets, and riding on sidewalks, with their license plates captured accordingly. The system collects real-time video data via cameras and speed data of enforcement targets via radar, then uses AI-based video analysis technology to detect license plate images from the footage for enforcement.
The Seoul Metropolitan Police Agency announced on the 29th that they will begin full-scale enforcement and impose fines starting from the 1st of next month at the Sangbong Underpass in Jungnang-gu, Seoul, where the rear unmanned traffic enforcement equipment was pilot-installed. Since its pilot installation at the Sangbong Underpass on November 23 last year, the police have been operating a guidance period until the end of this month, issuing warning notices.
The Seoul Metropolitan Police Agency plans to install five additional rear enforcement devices at five locations within Seoul this year, based on an analysis of areas with frequent two-wheeler traffic accidents. They also plan to expand installation locations in cooperation with local governments.
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