ATCC

Automatic Traffic Count & Classification

Vehant’s AI-powered Automatic Traffic Counter and Classifier (ATCC) solution delivers real-time, lane-wise vehicle detection and classification across 2W, LMV, HMV, and MAV categories. Depending on the nature of the highway or toll setup, we deploy a combination of ANPR cameras for plate-based identification and ATCC cameras for class-wise vehicle detection. Our system uses high-resolution imaging, edge processing, and deep learning models to ensure accuracy under high-speed, multi-lane, and all-weather conditions.

ARAI-certified and fully compatible with MLFF and toll audit systems, it includes automated reporting, timestamped video logs, and intuitive dashboards. Vehant’s flexible and compliant ATCC solution enables transparent tolling, minimizes revenue leakage, and supports smarter traffic operations for next-gen highway infrastructure

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Product Information

Overview

Vehant’s AI-driven ATCC system uses edge-computed deep learning, high-resolution imaging, and hybrid ANPR-ATCC camera infrastructure to classify 2W, LMV, HMV, and MAV vehicles in real time. ARAI-certified, it ensures high-accuracy detection, automated reporting, API integration, and continuous video logging for compliant, transparent, and scalable tolling environments.

Salient Features
  • Detects all tollable vehicle classes as per NHAI.
  • Accuracy meets NHAI  audit norms. (Vehicle Count Accuracy > 99.5%, vehicle classification accuracy > 98%)
  • Generates excellent, detailed reports with timestamps.
  • Ensures high data integrity and traceability.
  • Seamless API integration with ATMS platforms.
  • Supports hybrid infrastructure and toll configurations.
  • Includes video management for continuous recording.
  • Adapts to ANPR and ATCC camera setups.
  • ARAI-certified software for compliance.
  • AI/ML-powered engine for real-time classification.

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