Helmet Verify: AI Detection System for Safety Check

Promoting road safety is a vital issue around the globe. This paper introduces “Helmet Verify,” an AI-powered system developed to identify and enforce the use of helmets among motorcycle riders. By utilizing YOLOv11 for precise object detection and integrating it with Arduino Uno for controlling motor functions, the system guarantees adherence by blocking vehicle operation if a helmet is not worn. The model demonstrates outstanding performance, achieving a mean Average Precision (mAP) of 0.978 and an overall F1-score of 0.96, which makes it a dependable option for real-time implementations. This research contributes to the development of automated safety technologies aimed at lowering road accidents and reducing fatalities.