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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Bingxin Luo, Ziming Kou, Cong Han, Juan Wu, Shaowei Liu
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2023-07-01
Σειρά:	Sensors
Θέματα:	belt conveyor foreign object recognition parameterless attention mechanism deep learning lightweight network
Διαθέσιμο Online:	https://www.mdpi.com/1424-8220/23/14/6276
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!