Detection Method of Large Coal Blocks on Conveyor Belt Based on CA-YOLOv8Chinese Full Text English Full Text (MT)

You Yapeng;Ma Bo;Zhao Le;Wang Pengqi;

Abstract: The complex and variable environment of coal mines， coupled with the blurriness of conveyor belt images， results in challenges for accurately detecting large coal blocks and poor model generalization. In this situation， a detection method for large coal blocks based on CA-YOLOv8 is proposed. Firstly， considering the characteristics of conveyor belt images， image restoration is used to preprocess the blurred images， thereby enhancing their clarity and providing high-quality inputs for detection o... More

Keywords：

detection of large coal blocks; conveyor belt; image restoration; YOLOv8; coordinate attention;

Series：
(B) Chemistry/ Metallurgy/ Environment/ Mine Industry; (I) Electronic Technology ＆ Information Science
Subject：
Mining Engineering; Computer Software and Application of Computer
Classification Code：
TD528.1;TP391.41

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