Development of an IoT-based Traffic Signal Violation Detection System

Abstract

This study tackles the pressing issue of traffic signal stop-line violations, which poses significant threat to road safety, by designing and implementing an intelligent traffic signal violation system (Internet-of-things (IoT) based technology). The system utilizes infrared (IR) sensors for vehicular detection and an ESP32 Camera to capture images of violating vehicles, which are then sent to a server via notification bots for media platforms. Also, the IR sensors are embedded with the ESP32 Camera and programmed microcontroller to detect traffic stop-line signal violations, capture images, and transmit them to designated authorities. The system was implemented using a prototype build and the result showed a 98% accuracy rate in detecting violations. The system reduces response time for violation detection by 60% success rate. In conclusion, this project demonstrates a reliable and efficient traffic signal violation system, leveraging IoT and Artificial Intelligence (AI) technologies to enhance road safety. The real-world significance of this system entails an enabled rapid intervention, identifying and disciplining offenders, enhance resource allocation, repository of data generated and enforcing legal actions thereby contributing to enhanced road traffic operations and user safety.