IoT-Based Autonomous System for Monitoring and Tracking Traffic Rule Violations and Non- Compliance

The combination of urban development and increasing vehicle numbers has worsened traffic management difficulties specifically regarding road safety rule enforcement. The implementation of manual supervision in traditional systems frequently demonstrates unproductive performance together with cases of human error and delayed real-time detection. A smart iot-based autonomous system serves as the proposal to achieve effective monitoring and tracking of traffic rule violations. The system enlists sensors with cameras and GPS instrumentation which are managed by microcontrollers to monitor vehicle violations including speed violations as well as red light jumping and helmetless riding as well as wrong lane use and unauthorized parking. The system processes detected violations before forwarding them into a cloud platform where administrators can collect and perform analysis operations. The system provides immediate alerts to both official authorities and an optional alert service to vehicle owners. The developed system shows excellent detection performance alongside instant operation that enables its deployment within smart city networks. This system provides an adaptable method for traffic enforcement operations that also offers open and effective control of urban transport systems.