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Vehicle Detection and Speed Tracking

Author(s):

Nishant , Meerut Institute of Engineering & Technology; Vinayak Mishra, Meerut Institute of Engineering & Technology

Keywords:

Vehicle Detection, Machine Learning, YOLOv4

Abstract

Video and image processing has been used for speed detection and traffic monitoring, in self-driving cars, and for traffic monitoring in many cities and urban areas. Detection and monitoring of vehicle speeds can help reduce the risk of accidents among civilians. In this system, we can also detect and differentiate between vehicles and pedestrians using our on-board camera mounted inside the vehicle. This in turn, in conjunction with the hardware system, will alert the driver or automatically reduce the speed of the vehicle to avoid any collision or accident. Vehicle speed detection is an important aspect for complying with the speed limit law of the country and road conditions. Knowing and tracking the speed of vehicles plays an important role in preventing many accidents by keeping civilians safe. The system uses a speed detection method to measure the vehicle's speed. 1) Image pick-up 2) Pre-processed images 3) In motion vehicle detection 4) Extract out feature 5) Tracking the vehicle 6) Detect the vehicle
Vehicle detection systems can help prevent accidents and minimize risk of injury. This article focuses on predicting vehicle speed and discriminating between vehicles and civilians based on data from recorded video sources such as black box footage.

Other Details

Paper ID: IJSRDV11I30035
Published in: Volume : 11, Issue : 3
Publication Date: 01/06/2023
Page(s): 14-18

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