This study aims to develop a deep learning-based object detection system using the YOLOv11n algorithm to identify foreign objects on coal conveyor belt systems. The study is motivated by the limitations of manual inspection methods in maintaining detection consistency and accuracy within mining environments characterized by high visual complexity, such as dust, uneven illumination, motion blur,…