Part of an expert suite of video security analytics, the IVA Pro Traffic, based on deep neural networks, supports strategies that enhance mobility, safety, and the efficient use of roadways. By achieving accuracy levels beyond 95 percent in vehicle counting, IVA Pro can replace traditional and expensive to maintain counting methods, for example ground loops. In addition to giving an accurate count, IVA Pro Traffic offers reliable detection and subclassification of vehicles such as cars, bicycles, buses, motorcycles, and trucks. It can accurately detect and classify pedestrians, even in crowded scenes, to enable safety solutions for vulnerable road users. The collected data provides actionable insights for improving the efficient use of roadways and the safety of people and vehicles at intersections, highways, and tunnels. The algorithms of the IVA Pro Traffic are trained to ignore potential disturbances caused by vehicle headlights or shadows, extreme weather, sun reflections, and shaking cameras.
Autocalibration
Autocalibration comes as standard for IVA Pro Traffic. Autocalibration is an automatic AI-based 3D calibration which uses statistics of detected vehicles. Based on metadata generated by the camera’s built-in analytics, the feature offers an easy, quick and reliable calibration at the click of a button.