Retracted: Helmet Detection using Machine Learning Techniques

The continuous mobilization of vehicles has led to a surge in the number of road accidents across the world. To get better of this, government is trying to focus on the safest and preventive measures in traffic. So, our main idea is to introduce a helmet detection mechanism as most of the deaths caused are due to the absence of helmet. The practice of direct observation is found to be time taking and a lot of human effort is needed. This project attempts to implement a detection process through a few machine learning algorithms by using pre-defined libraries. This system notices a person with/without a helmet thereby imposing fines on the detected candidates. Further, this research work concludes that the automatic identification of helmets can overcome the challenges faced by manual data collection process. Moreover, this research work assumed that, through data collection, the algorithm can help to track the helmet use and promote its active use by people in order to ensure the road safety