SPEED DETECTION OF MOVING VEHICLE USING YOLO

With the increasing demand for efficient traffic monitoring, there has been significant progress in the development of real-time vehicle speed detection systems.This paper presents a method for estimating vehicle speeds using the YOLO (You Only Look Once) deep learning model.The proposed approach utilizes YOLO for detecting vehicles and motion tracking to estimate their speed by analyzing the time gaps between consecutive frames in a video stream.This solution offers a real-time application for traffic regulation, law enforcement, and enhancing road safety.Experimental results confirm the ability of YOLO to accurately identify vehicles and determine their speed with minimal error across various traffic scenarios, including both urban roads and highways.