Safety Monitoring System of Stamping Presses Based on YOLOv8n Model

Industrial safety is crucial for business stability, as it affects worker health, productivity, and social stability. With the rise of Industry 4.0, smart manufacturing and automation have made safety even more important. The metal processing industry, which is vital to the economy, still faces serious safety risks, such as workers’ hands getting caught in stamping presses. These accidents threaten worker safety and impact efficiency, costs, and social responsibility. To address these issues, this study proposes a safety monitoring system for stamping presses based on YOLOv8n and advanced image recognition technology. The system is designed to detect potential dangers in real time and respond immediately. Experimental results show that YOLOv8n outperforms other models, with a mean average precision (mAP50) of 99.4%, a precision of 99.7%, and a recall rate of 99.9%, while maintaining a high processing speed of 95 frames per second (FPS). In practical tests, the system effectively stops machine operation when it detects danger, ensuring worker safety and greatly reducing the risk of accidents.