YOLO-Based Smart Surveillance for Road Safety Compliance

Project Code :TEMBMA3914

Objective

The objective of this system is to develop a YOLO-based smart surveillance system for monitoring road safety compliance. It aims to detect violations such as not wearing helmets, seatbelt misuse, or signal jumping in real time. The system enhances accuracy and speed in identifying offenses using computer vision. Additionally, it supports automated enforcement and improves overall traffic safety.

Abstract

This project presents a YOLO-based smart surveillance system for road safety compliance using a real-time monitoring approach. The system is implemented on a Raspberry Pi integrated with a live webcam that continuously captures traffic video feed. YOLO (You Only Look Once) algorithm is used to detect traffic violations such as riders not wearing helmets in real time. Once a violation is detected, the system captures the vehicle image and applies OCR (Optical Character Recognition) to extract the number plate details. Simultaneously, a GPS module records and transmits the location of the incident for enforcement action. An LCD display provides system status updates, while a buzzer is activated to indicate abnormal conditions. This prototype enables automated, accurate, and efficient traffic monitoring, reducing the need for manual surveillance and improving road safety enforcement through intelligent real-time detection and response.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.