Vehicle Detection System Using Machine Learning

Sadheen Hossain; Aous Shaheen; Dr. B.S. Satpute; Tariqul Islam Sani1

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Publication Date: 2024/07/13

Abstract: This project focuses on developing a vehicle detection system using OpenCV, a real-time computer visionlibrary in Python. The project aims to create a vehicle counting and detection system that works effectively forvideos using OpenCV for image processing. The system will utilize OpenCV's computer vision capabilities to identifyvehicles and count the number of vehicles along with addinga unique id for each vehicle in the video. The system has potential applications in traffic monitoring, parking management, and transportation planning. The results of the project demonstrate the capabilities of OpenCV in creating efficient and accurate vehicle detection and classification systems.

Keywords: Vehicle Detection, Object Detection, Opencv, Image Processing, Computer Vision.

DOI: https://doi.org/10.38124/ijisrt/IJISRT24JUN1260

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24JUN1260.pdf

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