SNW YOLOv8: improving the YOLOv8 network for real-time monitoring of lump coal
Ligang Wu,
Le Chen,
Jialong Li
et al.
Abstract:Due to the large size of the coal and the high mining output, lump coal is one of the hidden risks of mining conveyor damage. Typically, lump coal can cause jamming and even damage to the conveyor belt during the coal mining and transportation process. This study proposes a novel real-time detection method for lump coal on a conveyor belt. The Space-to-Depth Conv (SPD-Conv) module is introduced into the feature extraction network to extract the features of the mine's low-resolution lump coal. To enhance the fe… Show more
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