Traffic Offender Detection System Using Deep Learning Approach
DOI:
https://doi.org/10.32628/IJSRST5241118Keywords:
Vehicle Detection, Helmet Detection, Crosswalk Inversion, Traffic Plate Recognition.Abstract
The issue of monitoring and controlling traffic violations has become a significant concern in India, primarily due to the large population, increasing number of commuters, ineffective traffic signal management, and the behaviour of riders. Relying solely on physical traffic police for monitoring has proven insufficient in handling such high traffic volumes while simultaneously tracking violations. The issue of monitoring and controlling traffic violations has become a significant concern in India, primarily due to the large population, increasing number of commuters, ineffective traffic signal management, and the behaviour of riders. Relying solely on physical traffic police for monitoring has proven insufficient in handling such high traffic volumes while simultaneously tracking violations.
References
- J. Chiverton, “Helmet presence classification with motorcycle detection and tracking,” Intelligent Transport Systems (IET), vol. 6, no. 3, pp. 259–269, September 2012
- Gomathi, et al, “Automatic Detection of Motorcycle without helmet using IOT”, South Asian Journal of Engineering and Technology
- Samir Ibadov, et al, “Algorithm for detecting violations of traffic rules based on computer vision approaches”, MATEC Web of Conferences 132, 05005 (2017)
- Aaron Christian P. Uy, et al, “Automated Traffic Violation Apprehension System Using Genetic Algorithm and Artificial Neural Network”, 2016 IEEE Region 10 Conference
- Amey Narkhede, et al, “Automatic Traffic Rule Violation Detection and Number Plate Recognition”, IJSTE - International Journal of Science Technology & Engineering | Volume 3 | Issue 09 | March 2017
- Ana Riza, et al, “Localization of License Plates Using Optimized Edge and Contour Detection Technique”, 2017 IEEE Region 10 Conference (TENCON), Malaysia, November 5-8, 2017
- Prem Kumar Bhaskar, et al, “Image Processing Based Vehicle Detection and Tracking Method “, Universiti Teknologi PETRONAS Seri Iskandar, 31750, Perak, Malaysia
- Kunal, Dahiya; Dinesh, Singh; and C. Krishna, Mohan “Automatic Detection of Bike-riders without Helmet using Surveillance Videos in Real-time”. 2016 International Joint Conference on Neural Networks (IJCNN)
- Pooya Sagharichi Ha, Mojtaba Shakeri, “License Plate Automatic Recognition based on Edge Detection”
- Abdullah Asım, et al, “A Vehicle Detection Approach using Deep Learning Methodologies”
- Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi, “You Only Look Once: Unified, Real-Time Object Detection”
- http://pjreddie.com/media/files/yolo.weights
- Kaiming He, Georgia Gkioxari, Piotr Doll´ar, Ross Girshick, “Mask R-CNN”, Facebook AI Research (FAIR) ,24 JAN 2018
- R. Smith, “An overview of the Tesseract OCR engine,” in Proc. 9th Int. Conf. Document Anal. Recognit. (ICDAR), Sep. 2007, pp. 629–633, doi: 10.1109/ICDAR.2007.4376991.
- A. Tonge, S. Chandak, R. Khiste, U. Khan, and L. A. Bewoor, “Traffic rules violation detection using deep learning,” in Proc. 4th Int. Conf. Electron., Commun. Aerosp. Technol. (ICECA), Nov. 2020, pp. 1250–1257.
- R. Shree Charran and Rahul Kumar Dubey , Senior Member, IEEE,” Two-Wheeler Vehicle Traffic Violations Detection and Automated Ticketing for Indian Road Scenario” IEEE transactions on intelligent transportation systems, vol. 23, no. 11, November 2022
- N. C. Mallela, R. Volety, R. P. Srinivasa, and R. K. Nadesh, “Detection of the triple riding and speed violation on two-wheelers using deep learning algorithms,” Multimedia Tools Appl., vol. 80, no. 6, pp. 8175–8187, Mar. 2021
- Tabeeha Waris, Muhammad Asif, Maaz Bin Ahmad, Toqeer Mohmood, Sadia Zafar, Mohsin Shah, Ahsan Ayaz, “CNN-Based Automatic helmet violation detection of motorcyclists for an intelligent transportation system” Hindawi, Volume 2022, Article ID 8246776
- Sri Uthra et al, Helmet Violation Detection using deep learning, International Research Journal of Engineering and Technology, Volume: 07 Issue: 02 | Feb 2020
- Akanksha Soni et al Automatic Motorcyclist Helmet Rule Violation Detection using Tensor flow & Keras In Open CV,2020 IEEE International Students Conference on Electrical,Electronics and Computer Scienc.
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