Get real time vehicle counting and classification with Automatic Traffic Counters & Classifiers (ATCC) ensuring higher accuracy in traffic data. ATCC units are based on advanced processing technology. Monitoring both, free flow and stop-and-go traffic scenarios at the same time.

Automatic Traffic Counter and Classifier (ATCC) is a device used for traffic volume counting surveys and classifying vehicles into different Vehicle categories and generating reports in an Excel sheet. What is ATCC?

VaaaN's 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 including count, classification, traffic volume, average traffic speed, time headway & occupancy.

ATCC is a complete IP Video based solution that provides high accuracy in real-time vehicle counting and classification. Snapshot capture of each vehicle that is counted and classified. Integrated with Advanced Video Management software facilitating the maintenance of complete reporting and statistics.

Intozi’s Automatic Traffic Counter & Classifier (ATCC) is a video-based solution designed to count and classify vehicle traffic in real time. Unlike traditional systems that rely on magnetic mass technology, Intozi’s ATCC leverages advanced computer vision technology to provide accurate traffic management insights.

EFKON’s Video-based Automatic Traffic Counter and Classifier (ATCC) is a standalone ATCC system based on neural network/map matching technique. It gathers real-time traffic data, including vehicle count, classification, traffic volume, average traffic speed, time headway, direction of travel and occupancy.

The ATCC Movable system comprises a smart GPU- powered kit, Camera with batteries and other essential accessories, making it highly effective for vehicle detection at any time and in any location.

ATCC system provider Airpix Solutions uses computer vision applications for vehicle counting and vehicle numbers. Our advanced video analysis to analyze videos of all kinds of traffic in a fast and reliable way. All our applications work both in real-time and offline, so from the time the camera is set up the results will be available.

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.

TRAZER® is a camera based Automated Traffic Counting and Classification (ATCC) software technology that is used widely by Urban Planners and Civil Engineers / Academicians to study the city traffic.