Artificial Intelligence (AI) based Detection of Traffic Violations by Two-Wheeler Vehicles

Increasing commuters, bad traffic signal management, and rider mentality are some of the factors contributing to traffic violations in India. Monitoring large traffic volumes physically and tracking violations at the same time is clearly insufficient with only physical traffic police. The result has been that many violators have gone undetected. By violating the traffic laws, the violators cause more serious mishaps on the road, thereby putting both themselves and others in danger. To avoid manual intervention in detecting and catching violators, Artificial Intelligence (AI)-based techniques should be incorporated. This research study demonstrates a novel technique to discover multiple offences on Indian roads electronically, which include helmet detection, using a smartphone while driving, tri cruising, wheeling, and parking illegally, and ultimately model the issuing of tickets by monitoring the infractions and affiliated car number together in record. Through all the automated AI-based traffic offense and booking system, the software will be extremely beneficial in determining diverse safety-related guidelines, facilitating in the imposing of harsher traffic restrictions, and fostering the development of such a green technology atmosphere.