Video Based Automatic Traffic Counter and Classifier 

Video-based Automatic Traffic Counter and Classifier (ATCC) is a standalone system based on the neural network/map matching technique. It gathers real-time traffic data and functions such as vehicle counting, vehicle classification and integration with the control center. It is a complete AI based video solution that provides high accuracy in real -time vehicle counting and classification. The system counts and classifies vehicles through live video feed taken from the IP/CCTV camera located at desired location

Free Flow Traffic Count & Classification up to multiple lanes
* Accuracy for traffic count > 99%
* Typical accuracy for automatic vehicle classification > 95%
* Accuracy for vehicle classification (with human audit) > 99%
* Metadata: Lane ID, Timestamp, Flow Direction, Vehicle Image
* Robust to lighting, weather, shadows & surroundings
* 24/7 operation
* Minimal Maintenance