Vehicle Speed Estimation Using OpenCV Framework

Authors

  • Yenuganti Siva Lakshmi Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India
  • Prathigudupu Navya Sri Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India
  • Siddi Mounika Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, India
  • Tata Usha Sri Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, Indi
  • Yallamati Suresh Dept. of Information Technology, Vasireddy Venkatadri Institute of Technology, Andhra Pradesh, Indi

DOI:

https://doi.org/10.26438/ijcse/v11i11.1721

Keywords:

OpenCV, Data logging,, Object detection, Vehicle speed monitoring, Vehicle Speed Estimation

Abstract

This article tracks and monitors vehicle speeds by utilizing computer vision techniques and libraries such as OpenCV and dlib. Using video inputs, it effectively recognizes vehicles, records their motions, and determines their speeds by calculating the time interval between frames and the distances they travel. In a CSV file, the gathered speed data is methodically documented and contains relevant details including timestamps, vehicle identities, and observed speeds in kilometers per hour. Another important element of the system is that it enforces a predetermined speed limit and sends out alarm messages to vehicles that go over it. This allows for real-time visual notifications that show the speed value and timestamp. Such a versatile system offers vital support in traffic management, traffic data analysis, and road safety enforcement, among its many possible use cases.

References

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Published

2023-11-30
CITATION
DOI: 10.26438/ijcse/v11i11.1721
Published: 2023-11-30

How to Cite

[1]
Y. Siva Lakshmi, P. Navya Sri, S. Mounika, T. Usha Sri, and Y. Suresh, “Vehicle Speed Estimation Using OpenCV Framework”, Int. J. Comp. Sci. Eng., vol. 11, no. 11, pp. 17–21, Nov. 2023.

Issue

Vol. 11 No. 11 (2023): IJCSE November Edition Edition

Section

Research Article

License

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Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.