A Faster and Lighter Detection Method for Foreign Objects in Coal Mine Belt Conveyors

Coal flow in belt conveyors is often mixed with foreign objects, such as anchor rods, angle irons, wooden bars, gangue, and large coal chunks, leading to belt tearing, blockages at transfer points, or even belt breakage. Fast and effective detection of these foreign objects is vital to ensure belt c...

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Hlavní autoři:	Bingxin Luo, Ziming Kou, Cong Han, Juan Wu, Shaowei Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-07-01
Edice:	Sensors
Témata:	belt conveyor foreign object recognition parameterless attention mechanism deep learning lightweight network
On-line přístup:	https://www.mdpi.com/1424-8220/23/14/6276
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