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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Vehicle Detection Using OpenCV and Haar Cascading
Authors
Niketan Antil, Ankit Raj
Keywords
Vehicle Detection, Haar Cascade, OpenCV, Real-Time Detection, HOG-SVM, YOLO, ITS.
Abstract
With increasing urbanization and vehicular traffic, intelligent and efficient vehicle detection systems are essential for modern Intelligent Transport Systems (ITS). This study introduces a lightweight, real-time vehicle detection method using Haar Cascades and OpenCV. Our approach achieves approximately 85% accuracy with frame rates of 25-28 FPS on CPU-only devices, making it ideal for deployment in embedded systems.
Comparative evaluations against HOG-SVM and YOLO highlight the balance between accuracy, speed, and computational efficiency.
IJCRT's Publication Details
Unique Identification Number - IJCRT2506006
Paper ID - 288384
Page Number(s) - a50-a53
Pubished in - Volume 13 | Issue 6 | June 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Niketan Antil, Ankit Raj, "Vehicle Detection Using OpenCV and Haar Cascading", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.a50-a53, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506006.pdf
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Volume 13 | Issue 12
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December 2025
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Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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