AI-enabled violation detection system to enhance road safety

New Delhi: The Delhi government has rolled out the process for setting up an artificial intelligence-based system for effective detection of traffic violations and road safety, officials said on Tuesday.

The government has floated a tender for an Intelligent Traffic Management System (ITMS) with Automatic Number Plate Recognition (ANPR) violation detection system using artificial intelligence and deep learning technology. The ITMS will deploy ANPR technology across around 500 key junctions in the city, with plans to expand as needed.

The system will monitor traffic violations in real-time and leverage artificial intelligence (AI) to analyse data, producing actionable inputs for traffic management, an official statement said. "Key use cases of the system include real-time detection of various traffic violations.

The system is equipped to identify speed violations, red light infractions, and instances of motorists using mobile phones while driving. Additionally, it will monitor compliance with safety regulations, such as seat-belt and helmet usage, and detect overloaded vehicles," it added.

The ITMS will also have the capability to capture images of vehicles not complying with lane discipline and to detect two-wheelers riding on footpaths, and it can even generate alerts for vehicles using fake or duplicate license plates, the official said.

By automating the violation detection process, the system aims to streamline law enforcement efforts and ensure that offenders are penalized promptly.

The system will also offer comprehensive support for law enforcement and city planning with the integration of various existing databases, including VAHAN and SARTHI, it added. "Road safety is a critical concern for us. With the introduction of this intelligent system, we aim to significantly reduce traffic violations and, consequently, the number of road accidents in the city," an official of the Transport Department. "This initiative represents a leap toward a data-driven approach in managing traffic effectively," he said.