CM Eknath Shinde launches 187 interceptor vehicles equipped with AI for traffic violations
Transport commissioner Vivek Bhimanwar stated that 70 vehicles are already operational with an additional 187 vehicles added to the fleet and another 96 vehicles expected to be delivered in the next two to three months.

Chief Minister Eknath Shinde on Wednesday launched 187 interceptor vehicles, equipped with Artificial Intelligence, to identify various traffic violations.
Transport commissioner Vivek Bhimanwar stated that 70 vehicles are already operational with an additional 187 vehicles added to the fleet and another 96 vehicles expected to be delivered in the next two to three months.
Each vehicle will be manned by three individuals: a driver, a traffic inspector, and an assistant inspector. In addition to the AI system, the vehicles will be equipped with tools to check the tire fitness to prevent tire burst incidents, which are common on Samruddhi Mahamarg, the official added. These vehicles will be handed over to the Regional Transport Offices (RTO) across the state, which will decide on its working.
With the current fleet size, one interceptor vehicle will be shared between two to three talukas, while the requirement is for 400 vehicles, according to the official. These vehicles are part of various preventive measures to curb accidents on highways.
The interceptor vehicles can detect violations such as driving without seat belt, two-wheeler rider driving without a helmet, speeding of vehicle beyond permissible limit, drunk and driving using breath test, wrong-side entry, lane-cutting among others.
During the launch event, CM Shinde emphasised the government’s full support for the department’s efforts to make the state accident-free. He highlighted the need for night checks on drivers at junctions, installation of rumblers, prevention of continuous driving for long periods, and creating public awareness to reduce accidents. He urged department officers to conduct workshops and create public awareness to save lives and families from the impact of accidents.