Helmet Detection on Motor Cycle Using Machine Learning

Helmet Detection on Motor Cycle Using Machine Learning

Dr. M. Senthil Kumaran 1, P.Ruchita 2, U.Sudha Mounika M 3

1 Associate professor, Department of Computer Science and Engineering, SCSVMV, Kanchipuram

2 Student, Department of Information technology, SCSVMV, Kanchipuram

3 Student, Department of Computer Science and Engineering, SCSVMV, Kanchipuram

ABSTRACT

Deep learning and its use in picture classification, image segmentation, and object recognition have seen significant technological improvement in recent years. One of these applications is for spotting bike riders wearing helmets. Riders must always wear helmets to prevent injury because the number of traffic accidents is rising daily. Several deep learning methods have been developed during the past few years to address the issue of bike riders' helmet detection. Several studies have been carried out in this area employing archaic technologies like CNNs. However the most recent developments in computer vision methods have been quite promising .In addition to analyzing numerous methods, this research tests many cutting-edge object identification models, including Detectron2 and Efficient Det. The outcomes from these cutting-edge models are very promising.

Keywords: Helmet detection, Descriptors , Classifiers