This application discloses a method, apparatus, equipment, medium, and product for detecting foreign objects on mine conveyor belts, relating to the fields of
computer vision and
artificial intelligence. The method includes acquiring original images of the mine
conveyor belt area; sequentially performing low-light
image enhancement and super-resolution reconstruction
processing on the original images to obtain high-quality, high-resolution images; identifying and locating foreign objects in the high-resolution images using an improved target detection model; and outputting detection results including
foreign object category labels, confidence scores, and location coordinates. This application achieves high-precision, high-recall real-time detection and accurate location of various foreign objects such as
gangue, anchor bolts, and ironware, significantly improving practicality and reliability, effectively reducing missed detections and false detections, and providing reliable
technical support for safe
coal mine production.