Safety Monitoring

Safety monitoring research focuses on developing reliable systems to prevent accidents and enhance security across various domains, from construction sites and factories to autonomous vehicles. Current efforts concentrate on integrating advanced technologies like computer vision (e.g., YOLO-based object detection models) and machine learning (including probabilistic time series forecasting and association rule mining) to improve detection accuracy and responsiveness in complex environments. These advancements are crucial for improving workplace safety, enhancing autonomous system reliability, and informing proactive strategies for public safety management, ultimately leading to safer and more efficient operations.