AI Guardian on the Road: Harnessing Machine Learning for Two-Wheeler Helmet Detection
Kartikeya Bhatt, Abhishek Joshi, Gaurav Singh, Vikrant Sharma, Satvik Vats · 2024
This paper presents a comprehensive study and implementation of a vehicle helmet detection system aimed at enhancing road safety measures using advanced computer techniques that involve real-time surveillance. Wearing helmets significantly reduces the risk of severe head injuries in road accidents by providing a crucial protective barrier against impact forces during the collision. This safety measure acts as a pivotal safeguard, mitigating the direct effects of collisions and reducing the probability of traumatic brain injuries or fatal head trauma. This protection is essential for threatening the direct impact of accidents and underrating the chances of severe head harms or certain damage. According to the 2023 report each World Health Organization (WHO), promoting helmets right can lower the risk of deadly harms by 42% and the risk of head harms by 69%. The system is capable of analysing traffic video footage to identify moving objects and classify vehicles further the system incorporates a helmet detection component to ensure compliance with safety regulations by verifying whether both the rider and pillion passengers are wearing helmets.