Video Vehicle Detection

Video detection uses above-ground cameras and AI processing to identify vehicles without pavement cuts, offering easier installation and multi-lane coverage. Inductive loops are embedded in the roadway and detect vehicles via magnetic field changes, offering proven reliability but requiring pavement work for installation and maintenance.

Yes. Systems like Autoscope OptiVu and EPIQ RADAR use AI-powered classification to distinguish between vehicles, bicycles, and pedestrians, supporting Vulnerable Road User safety applications, sidewalk monitoring, and enhanced signal timing for non-motorized traffic at intersections.

Most detection systems available through TCC, including loop detectors and video processors, are compatible with NEMA TS-1, NEMA TS-2, ATC, ITS, and CALTRANS 33x traffic cabinets, allowing integration into both legacy and modern intersection infrastructure without extensive retrofitting or added hardware costs.

Products such as EPIQ RADAR and Ouster Lidar are engineered for consistent performance in rain, snow, fog, glare, and nighttime conditions. AI-powered video systems like Autoscope OptiVu also maintain detection accuracy during adverse lighting and weather through advanced machine learning algorithms.

Modern detection systems collect vehicle counts, classifications, speeds, turning movements, dwell times, and estimated time of arrival data. Cloud platforms like Centracs +Detect and BlueCity provide real-time analytics for signal performance monitoring, congestion analysis, and smart city planning initiatives.

Coverage varies by technology. EPIQ RADAR covers two approaches and up to 900 feet per sensor, while RTMS Echo radar can monitor up to 12 lanes and 250 feet from a single side-fire unit, reducing the number of sensors and installation costs needed per site.