Year: 2025
Type: article
Abstract: Traffic rule violations such as overspeeding and signal jumping are major contributors to road accidents and traffic congestion.This project introduces an AI-powered system designed to detect and respond to such violations in real-time.The system combines various hardware components, including an RPS (Regulated Power Supply) for power, an RFID module for vehicle identification, an ESP32 camera for capturing images, and IR sensors (IR1 and IR2) for detecting vehicle movement.The ESP32 microcontroller processes the collected data and communicates with output devices such as an LCD display, LED indicators, a GSM module, a buzzer, and an IoT module.It also integrates with Google Cloud for real-time monitoring and data storage.When a traffic violation is detected, the ESP32 camera captures an image of the offending vehicle, and the RFID module retrieves its identification details.Alerts are then triggered through LEDs, buzzers, and GSM-based notifications sent to traffic authorities or the vehicle owner.Additionally, the collected data is stored in Google Cloud for future analysis, traffic management, and law enforcement purposes.The IoT integration enables remote monitoring, making this AI-driven system an effective tool for enhancing road safety and traffic regulation.
Authors: M.K. Chakravarthi, Gunji Vijayaaditya, Gandavarapu Adithya, Kethireddy Mohith Reddy
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4412032791