Visual performance improvement algorithm based on YOLO in complex lighting environment

In critical areas such as power production, ensuring safety monitoring is of paramount importance. However, complex environmental conditions, such as fluctuating lighting and challenging operational scenarios, often degrade the performance of monitoring systems. This significantly impacts the accuracy and reliability of real-time safety monitoring, including object detection and tracking algorithms like YOLO. This article explores strategies to optimize the performance of safety monitoring systems by integrating advanced image enhancement techniques with the YOLO detection model, thereby improving the accuracy, robustness, and effectiveness of safety monitoring in power production environments.