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10 August 2023 A new deep learning-based intelligent production support system that can be used in ordinary factories
Xuebin Zhu, Zhoulin Wang, Zhenghong Yu, Ying Lin, Haijie Feng
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Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 127591Y (2023) https://doi.org/10.1117/12.2686973
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China
Abstract
With the advancement of industry and the advent of Industry 4.0, the original traditional factories also need information and intelligent changes to adapt to the times. Our new system demonstrates a support system for mid/low-volume production, designed to help employees assemble different products with visual or tactile feedback in a traditional factory. The system records the entire workflow using multiple sensors (mainly image, motion, and electrical contact sensors) and learns to analyze each production stage through deep learning networks to set optimal values. The system compares the current state of the job with the learned target state and provides information to the employee when deviations occur so that corrections can be made on-site. After testing, the system has improved the product quality and production efficiency of the factory, meeting the standards of modern factories.
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Xuebin Zhu, Zhoulin Wang, Zhenghong Yu, Ying Lin, and Haijie Feng "A new deep learning-based intelligent production support system that can be used in ordinary factories", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 127591Y (10 August 2023); https://doi.org/10.1117/12.2686973
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KEYWORDS
Deep learning
Education and training
Data modeling
Industry
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