Real-Time Detection of Heavy Vehicles on Hairpin Bends using YOLO Algorithm

Hairpin curves along hilly roads are accident-prone areas with less visibility, particularly where heavy transport vehicles such as buses and trucks come from the other direction. The Ministry of Road Transport and Highways (MoRTH) reports that more than 11% of road accidents in India take place on sharp turns and ghat roads, and a major percentage is due to blind spot collisions. This article suggests a real-time crash prevention system through image processing based on the YOLO (You Only Look Once) object detection model. A camera placed strategically in front of the upward slope senses vehicles approaching, while an LCD display on the downward slope warns drivers if heavy vehicles like buses or trucks are approaching. As opposed to cars or motorcycles, these vehicles tend to encroach on the other lane when taking sharp turns, making them more susceptible to collision. Apart from automatic warning systems, there is an emergency switch positioned at the curve to allow passengers or onlookers to alert nearby control rooms in case of an accident. The system facilitates a proactive safety mechanism that couples AI-driven vision and human-activated emergency response, substantially eliminating the possibility and consequences of such accidents in high-risk areas.