Enhancing Traffic Safety With Artificial Intelligence Using Helmet Detection and Zebra Crossing Obstruction

Abstract

The application of artificial intelligence (AI) in improving traffic safety is highlighted in this abstract through two key features: helmet identification and zebra crossing obstruction prevention. The application of AI technology in various fields proves its capacity to reduce traffic accidents and protect pedestrians. To encourage adherence to safety standards, the first component uses computer vision techniques to identify helmet use among scooter and motorcycle riders. To ensure safe pedestrian passage, the second part focuses on using AI-driven systems to detect and prevent obstructions on zebra crossings. This study helps to reduce total traffic accidents and improves the safety of both drivers and pedestrians by addressing helmet compliance and zebra crossing safety.