Part recognition and damage characterization using deep learning

According to one embodiment, a method of identifying a part of a conveyance system is provided. The method comprising: capturing an image of a part of a conveyance system using a camera; classifying the part of the conveyance system using supervised learning; and displaying a classification of the p...

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Bibliographische Detailangaben
Hauptverfasser:	Reddy, Kishore K, Lore, Kin Gwn, Bertuccelli, Luca F
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVEYING COUNTING HANDLING THIN OR FILAMENTARY MATERIAL IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PACKING PERFORMING OPERATIONS PHYSICS PNEUMATIC TUBE CONVEYORS POSTAL SORTING SEPARATING SOLIDS FROM SOLIDS SHOP CONVEYOR SYSTEMS SORTING SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTEDPIECE-MEAL, e.g. BY PICKING STORING TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING ORTIPPING TRANSPORTING
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Beschreibung
Zusammenfassung:	According to one embodiment, a method of identifying a part of a conveyance system is provided. The method comprising: capturing an image of a part of a conveyance system using a camera; classifying the part of the conveyance system using supervised learning; and displaying a classification of the part of the part on a mobile computing device.