IP surveillance solution provider PiXORD has used fish-eye network cameras in combination with correction ICs and AI-based image recognition technology to monitor traffic flows in Hsinchu City, northern Taiwan, according to the company.
While vehicle detectors and CCTVs are unable to monitor and count vehicles turning at intersections of roads, fish-eye network cameras are capable of 360-degree monitoring of traffic, PiXORD said. Correction IC developed by affiliated Avision Technology decodes video recorded by fish-eye network cameras to reduce burden of computing on PCs, allowing a control center to simultaneously monitor video of traffic flows recorded by hundreds of fish-eye network cameras, PiXORD noted. Through AI-based image recognition, sizes, models, license plates, running directions of cars can be recognized, PiXORD indicated. PiXORD has installed fish-eye network cameras at about 400 road intersections in the city.
Data collected by fish-eye cameras can be used to identify road intersections where traffic jams are easy to happen, analyze the causes, and then traffic lights are adjusted to reduce traffic congestion, PiXORD said.
Such data can be combined with data collected from CCTVs, vehicle detectors and eTag as well as handset signaling to build traffic flow parameters, PiXORD noted. Then, intersections of roads are graded in terms of traffic importance based on these parameters and traffic lights are comprehensively regulated based on AI to reach the most smooth traffic flows and minimize traffic congestion, PiXORD indicated.
In addition, PiXORD has cooperated with Leotek, a LED street lighting business group under EMS provider Lite-On Technology, to install fish-eye network cameras at street lamps in the city for security surveillance and monitoring of pedestrian and vehicular flows.
360-degree monotoring of traffic flows by a fish-eye network camera at an intersection