Design of workpiece recognition and sorting system based on deep learning

Aiming at the actual needs of industrial robots in the handling process of sorting and picking according to the types of objects, a design scheme of visual inspection and workpiece recognition based on deep learning is proposed. The solution uses deep learning to model the object recognition system,...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-03, Vol.1802 (2), p.22061
Main Authors: Chang, Zhoulin, Lu, Zixie, Mo, Fu, Hao, Linzhao, Yu, Gaofeng
Format: Article
Language:English
Subjects:
Deep learning
Image classification
Image detection
Industrial robots
Inspection
Machine learning
Object recognition
Physics
Workpieces
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Summary:Aiming at the actual needs of industrial robots in the handling process of sorting and picking according to the types of objects, a design scheme of visual inspection and workpiece recognition based on deep learning is proposed. The solution uses deep learning to model the object recognition system, builds the mapping relationship between the image and the object category, and realizes the effective recognition of the object image information. After the analysis is completed, the industrial robot classifies the object according to the given information. Experiments show that the use of deep learning image detection mode can realize the classification and picking operation of industrial robots, which can meet the needs of some actual scene operations.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1802/2/022061