AN INTELLIGENT SURVEILLANCE SYSTEM FOR AUTOMATED DETECTION OF SPEED VIOLATIONS IN URBAN TRAFFIC

Road safety has emerged as a major public concern with the increasing incidence of traffic accidents, many of which are attributed to overspeeding and violations of traffic regulations.To address this issue, the present project introduces an IoT-driven smart traffic enforcement system aimed at the automatic detection and penalization of speed violations.The system employs a combination of technologies including RFID for vehicle identification, IR sensors for speed monitoring, an ESP32-CAM for visual evidence capture, and a GSM module for e-challan dispatch.The process initiates when a vehicle passes through a monitored segment outfitted with two IR sensors positioned at a fixed interval.By calculating the time taken to travel between the sensors, the system determines the vehicle's speed.If the calculated speed exceeds the designated threshold, the ESP32-CAM captures an image of the violating vehicle.Simultaneously, the RFID module retrieves the vehicle's unique ID, linking the violation to a registered owner.The GSM module then transmits a digital fine notification (e-challan) to the owner's mobile number.This solution offers a contactless and automated alternative to traditional traffic policing, minimizing the potential for human error and corruption.It enhances enforcement efficiency while encouraging compliance with speed regulations.The system also generates real-time violation data, contributing to improved traffic analytics and supporting smart city development initiatives.Designed for scalability and affordability, the proposed system is well-suited for deployment in both urban and semi-urban environments.