Gandhinagar: The proposed centre of excellence (CoE) for road safety and traffic management, to come up at Viramgam in Ahmedabad district, will initiate focused research on facial recognition technologies, assessing how they could be ethically and legally integrated into the Trinetra system to help identify repeat offenders or wanted individuals. Officials said any such deployment would be explored only within the framework of applicable legal and privacy safeguards.The ground-breaking ceremony for the project, a joint venture between Ahmedabad rural police and Honda Motor Company Ltd, was held earlier this month.Officials said the CoE will harness artificial intelligence and advanced analytics for traffic management, with the proposed facility expected to make strategic use of CCTV footage generated under the state’s Trinetra surveillance network to improve enforcement and road safety.Sources said the CoE will initially focus on analysing video feeds from the existing Trinetra infrastructure to identify traffic rule violations, monitor compliance with safety norms such as helmet and seatbelt use, and generate actionable intelligence for enforcement agencies.Apart from detecting violations, the centre will prepare reports, heat maps and trend analyses to help authorities identify accident-prone stretches, deploy enforcement personnel more effectively and plan public awareness campaigns and infrastructure interventions.The centre is also expected to evaluate the feasibility of introducing other technology-driven solutions, including automatic number plate recognition (ANPR), AI-based traffic behaviour analysis and mobile-based reporting systems. These tools would be adopted in phases, depending on available infrastructure, technological readiness and resources.Officials said the initiative is aimed at extracting greater value from the state’s existing surveillance network instead of relying solely on expansion of physical infrastructure. By combining AI-powered analytics with the Trinetra platform, govt expects to strengthen traffic enforcement while using data-driven insights to improve road safety and urban mobility.
