Helmet Detection and Number Plate Recognition Using YOLOv8 and Tensorflow Algorithm in Machine Learning

Dipti Prajapati; Samishtarani Sabat; Sanika Bhilare; Rashmi Vishe; Prof. Suman Bhujbal

Abstract

In many suburbs, urban areas and locals across the globe there is a disconcerting surge in motorcycle accidents has become increasingly evident. Even though a helmet is the most important safety gadget, people do not wear it. Yet helmets stand as indispensable guardians shielding riders from the ravages of head injuries, an all-too-common occurrence in the chaotic landscape of accidents. People even knowing the importance of helmet ignore wearing them, which prone to accidents causing head injuries and elevate the collective standard of road safety therefore it is incumbent upon both the governing bodies and individual riders alike to vigorously champion and enforce the unwavering and meticulous utilization of helmets as an inseparable facet of conscientious motorcycle navigation.

Keywords

Intrusion detection, K-NN, Naïve - Bayes

References

[1] S. Sanjana, S. Sanjana, V. R. Shriya, G. Vaishnavi, and K. Ashwini, "A review on various methodologies used for vehicle classification, helmet detection and number plate recognition," Evolutionary Intelligence, vol. 14, no. 2, pp. 979-987, 2021.

[2] C. Wei, Z. Tan, Q. Qing, R. Zeng, and G. Wen, "Fast helmet and license plate detection based on lightweight YOLOv5," Sensors, vol. 23, no. 9, pp. 4335, 2023.

[3] A. Anjaiah, P. P. L. L. Reddy, V. Keerthika, N. S. Nayak, and K. Rakesh, "Automatic Number Plate Detection for Motorcyclists Riding Without Helmet," Journal of Algebraic Statistics, vol. 13, no. 3, pp. 2158-2165, 2022.

[4] D. Kokare, A. Ujwankar, A. Mulla, M. Kshirsagar, and A. Ratnaparkhi, "Helmet Detection and Number Plate Recognition using Machine Learning," International Journal of Research in Engineering, Science and Management, vol. 5, no. 6, pp. 113-115, 2022.

[5] V. Anitha Moses, A. Brightlin Selvamary, and M. Sreelekha, "Automatic detection of license plate number of motorcyclists without helmet," in Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), Caracas, Venezuela, Oct. 2013, pp. 7-11.

[6] X. Qin, S. He, Z. Zhang, M. Dehghan, and M. Jagersand, "Bylabel: A boundary based semi-automatic image annotation tool," in 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), March 2018, pp. 1804-1813.

[7] A. H. Rubaiyat, T. T. Toma, M. Kalantari-Khandani, S. A. Rahman, L. Chen, Y. Ye, and C. S. Pan, "Automatic detection of helmet uses for construction safety," in 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW), Oct. 2016, pp. 135-142.

[8] R. N. Babu, V. Sowmya, and K. P. Soman, "Indian car number plate recognition using deep learning," in 2019 2nd international conference on intelligent computing, instrumentation and control technologies (ICICICT), July 2019, vol. 1, pp. 1269-1272.

[9] B. Sathiyabhama, T. K. Revathi, N. Basker, and R. B. Vinothkumar, "Tracing of vehicle region and number plate detection using deep learning," in 2020 International conference on emerging trends in information technology and engineering (ic-ETITE), Feb. 2020, pp. 1-4.

[10] N. Shukla and K. Fricklas, Machine learning with TensorFlow. Greenwich: Manning, 2018.

[11] J. Chiverton, "Helmet presence classification with motorcycle detection and tracking," Intelligent Transport Systems, IET, vol. 6, pp. 259-269, 2012.

[12] J. Li, H. Liu, T. Wang, M. Jiang, S. Wang, K. Li, and X. Zhao, "Safety helmet wearing detection based on image processing and machine learning," pp. 201-205, 2017.

[13] T. Waris, M. Asif, M. B. Ahmad, T. Mahmood, S. Zafar, M. Shah, and A. Ayaz, "CNN-based automatic helmet violation detection of motorcyclists for an intelligent transportation system," Mathematical Problems in Engineering, 2022.

[14] Gaytri, R. Kumar, and U. Rajnikanth, "A Smart Approach to Detect Helmet in Surveillance by Amalgamation of IoT and Machine Learning Principles to Seize a Traffic Offender," in Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2020, Springer Singapore, 2021, pp. 701-715.

Cites this article as

D. Prajapati, S. Sabat, S. Bhilare, R. Vishe, P. S. Bhujbal, "Helmet Detection and Number Plate Recognition Using YOLOv8 and Tensorflow Algorithm in Machine Learning ", International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Vol-12, no.2, pp.91-95, 2024. Available from: https://doi.org/10.55524/ijircst.2024.12.2.16

Corresponding Author

Dipti Prajapati

Student, Department of Computer Science and Engineering, University of Mumbai, Thane, India

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