Traffic Rule Violation Detection Systems

Praneeti Lohiya*, Himani Uike**, Akshay Dubey***, Snehlata Mandal****
*-**** Department of Computer Science and Engineering, Shri Shankaracharya Engineering College, Bhilai, Chhattisgarh, India.
Periodicity:October - December'2021
DOI : https://doi.org/10.26634/jip.8.4.18510

Abstract

The globe is becoming more and more urbanized. As a result, the number of automobiles on the roadways of the city has increased significantly, which has led to an increase in traffic violations. This causes serious damage to the environment and property and it increases the number of accidents that can threaten the general public. To cope with an alarming situation and prevent such cases, it is necessary to identify violations of traffic rules, which have unthinkable consequences and requires the implementation of the system.

Keywords

Image Processing, Vehicle Detection, Violation Detection, V1 Mobile Net Architecture, Graphical User Interface.

How to Cite this Article?

Lohiya, P., Uike, H., Dubey, A., and Mandal, S. (2021). Traffic Rule Violation Detection Systems. i-manager’s Journal on Image Processing, 8(4), 17-20. https://doi.org/10.26634/jip.8.4.18510

References

[1]. Bedruz, R. A., Uy, A. C. P., Quiros, A. R., Billones, R. K., Sybingco, E., Bandala, A., & Dadios, E. P. (2019). A robotic model approach of an automated traffic violation detection system with apprehension. In 2018, IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) (pp. 1-4). IEEE. https://doi.org/10.1109/HNICEM.2018.8666321
[2]. Ha, P. S., & Shakeri, M. (2016, April). License Plate Automatic Recognition based on edge detection. In 2016, Artificial Intelligence and Robotics (IRANOPEN) (pp. 170-174). IEEE. https://doi.org/10.1109/RIOS.2016.7529509
[3]. Mohamed, S. A. E. (2019, February). Automatic traffic violation recording and reporting system to limit traffic accidents: based on Vehicular Ad-Hoc Networks (VANET). In 2019, International Conference on Innovative Trends in Computer Engineering (ITCE) (pp. 254-259). IEEE. https:// doi.org/10.1109/ITCE.2019.8646449
[4]. Narkhede, A., Nikam, V., Soni, A., Sathe, A., & Chiddarwar, G. G. (2017). Automatic traffic rule violation detection and number plate recognition. IJSTEInternational Journal of Science Technology & Engineering, 3(9), 559-563.
[5]. Reddy, P. S., Nishwa, T., Reddy, R. S. K., Sadviq, C., & Rithvik, K. (2021, July). Traffic rules violation detection using machine learning techniques. In 2021, 6th International Conference on Communication and Electronics Systems (ICCES) (pp. 1264-1268). IEEE. https://doi.org/10.1109/ICC ES51350.2021.9488998.
[6]. Tripathi, S., Shetty, U., Hasnain, A., & Hallikar, R. (2019, April). Cloud based intelligent traffic system to implement traffic rules violation detection and accident detection units. In 2019, 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 347-351). IEEE. https://doi.org/10.1109/ICOEI.2019.8862694
[7]. Wang, J., Chen, Z., Li, P., Sheng, B., & Chen, R. (2019, May). Real-time non-motor vehicle violation detection in traffic scenes. In 2019, IEEE International Conference on Industrial Cyber Physical Systems (ICPS) (pp. 724-728). IEEE. https://doi.org/10.1109/ICPHYS.2019.8780253
[8]. Wonghabut, P., Kumphong, J., Ung-arunyawee, R., Leelapatra, W., & Satiennam, T. (2018, July). Traffic light color identification for automatic traffic light violation detection system. In 2018, International Conference on Engineering, Applied Sciences, and Technology (ICEAST) (pp. 1-4). IEEE. https://doi.org/10.1109/ICEAST.2018.8434400
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.