ITM Web Conf.
Volume 56, 2023First International Conference on Data Science and Advanced Computing (ICDSAC 2023)
|Number of page(s)||10|
|Section||Machine Learning & Neural Networks|
|Published online||09 August 2023|
A Survey on Helmet Detection by CNN Algorithm
Department of Information Science and Engineering, New Horizon Collège of Engineering, Bengaluru, India
Accidents by not wearing helmet infractions are now a big problem for most emerging nations in the modern, changing world. Both the number of vehicles on the road and the number of traffic law offences are growinPly. Not wearing the helmet enforcement has always had a difficult and risky job. Despite the fact that traffic control has evolved into Due to the variety of plate types, various sizes, rotations, and uneven illumination during picture capture, automating the process is a particularly difficult task. The main goal of this project is to properly and efficiently control thehe accidents because of not wearing Helmet. The suggested model incorporates a computer-based camera-based automated system for video recording. In order to identify number plates more quickly and easily, the project offers Automatic Number Plate Recognition (ANPR) approaches as well as additional image-manipulation methods for plate localization and character recognition. The SMS-based module is used to alert the owners of the vehicles about their traffic rule violations after identifying the car number from the number plate. To trace the report, an additional SMS is sent to the Regional Transport Office (RTO).
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.