A Survey to Raise the Awareness of Road Accidents Due to Not-Wearing Helmet

Abstract

Nowadays, two-wheeler vehicles are regarded as the best mode for transportation in crowded cities. However, using such vehicles involves a relatively high risk of injury due to lack of protection and security. This paper aims to propose an approach to automatically detect whether or not riders wear helmet without any manual intervention. In case a bike rider is identified without wearing hamlet, then its corresponding plate number is read and recorded. Data records of every lawbreaker who does not wear helmet are automatically saved into a database. A database is consequently generated, consisting of records used to accurately identify the lawbreaker. This paper aims to explain the ways of automatic detection of motorcyclists without helmet and sending messages to the detected individuals. The proposed system in this study aims to extract the vehicles’ plate numbers from the RTO website, using the vehicles’ plate numbers by means of captured images. After getting the required information, the corresponding mobile numbers that embody the needed details of the detected people are used. The proposed system maintains a database that includes the number of detections of particular vehicle plate numbers and sends the details of the detected location.