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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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Principais autores: Bingxin Luo, Ziming Kou, Cong Han, Juan Wu, Shaowei Liu
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2023-07-01
coleção:Sensors
Assuntos:
belt conveyor
foreign object recognition
parameterless attention mechanism
deep learning
lightweight network
Acesso em linha:https://www.mdpi.com/1424-8220/23/14/6276
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