Delhi’s traffic management is set to become more efficient and automated with the introduction of AI-powered 4D radar interceptors.
These advanced systems will be mounted on police vehicles to detect and penalise traffic violations in real time, eliminating the need for human intervention.
According to officials, the interceptor features a 360-degree rotatable Automatic Number Plate Recognition (ANPR) camera, enabling it to monitor multiple vehicles at once. Using 4D radar technology, it can track vehicle speed, detect violations such as overspeeding, seatbelt violations, mobile phone usage while driving, and improper number plates, among other infractions.
The system is designed to integrate with the National Informatics Centre (NIC) for automated e-challan generation, ensuring a swift and seamless enforcement process.
“The technology eliminates the need for manual intervention. Earlier, police personnel had to stop violators, which sometimes put them at risk. Now, with automated e-challan issuance, enforcement will be more efficient and safer,” a police source explained.
During an initial trial conducted on Friday, the system successfully generated 120 e-challans, demonstrating its effectiveness.
The AI-powered interceptor is part of Delhi’s move towards an Intelligent Traffic Management System (ITMS). By leveraging AI and automation, authorities aim to improve road safety, optimise resource allocation, and enhance traffic regulation enforcement.
Equipped with sensors, cameras, and advanced rule-based software algorithms, the interceptor scans all vehicles within its field of view, instantly detecting and recording violations.
Officials believe that the introduction of this technology will reduce dependency on manual monitoring, allowing law enforcement personnel to focus on more critical public safety concerns.
Currently, the AI-powered 4D radar interceptor is in its trial phase, with authorities conducting feasibility tests before full-scale deployment. Once thoroughly examined and approved, the system will be rolled out across Delhi, marking a significant step forward in AI-driven traffic enforcement.