RealTraffic Technologies has launched RTTNet, a new video analytics software that allows any surveillance video camera to function as an accurate and reliable traffic sensor.
RTTNet easily integrates into any existing camera network and measures speed and flow in real-time on a lane by lane basis. The technology adapts to any PTZ-platform camera movements. It not only detects the camera's movement, but also automatically relocates the pre-defined detection zones, when the operator returns it near its initial position.
The data, analysed by the software, is transmitted as traffic maps and data files that can then be seen by road users via Internet, PDAs, mobile phones or GPS navigation systems.
Tests conducted in the Montreal area and near Washington D.C. with live video feeds from traffic cameras showed that this new technology can measure speed and flow in most visibility conditions - night, day, rain, snow and even fog.
RealTraffic Technologies says this new technology was developed for traffic management authorities and also for companies that aggregate traffic data for end-user applications.
Road traffic video analytics
RealTraffic Technologies has launched RTTNet, a new video analytics software that allows any surveillance video camera to function as an accurate and reliable traffic sensor
Detection, Monitoring & Machine Vision / July 18, 2012