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Assembly line quality assurance through hand tracking and object detection

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dc.contributor.author Mokuwe, Mamuku W
dc.contributor.author Goorun, Yurisha
dc.contributor.author Crafford, Gerhardus J
dc.date.accessioned 2023-01-24T06:30:38Z
dc.date.available 2023-01-24T06:30:38Z
dc.date.issued 2022-10
dc.identifier.citation Mokuwe, M.W., Goorun, Y. & Crafford, G.J. 2022. Assembly line quality assurance through hand tracking and object detection. http://hdl.handle.net/10204/12584 . en_ZA
dc.identifier.uri https://doi.org/10.1051/matecconf/202237007003
dc.identifier.uri http://hdl.handle.net/10204/12584
dc.description.abstract This work presents a vision-based quality assurance system that does assembly line monitoring. The system is developed using machine learning hand tracking and object detection methods to monitor the worker’s hand movement while evaluating the correctness of the assembly. Feedback about the order of the steps the worker has taken is continuously shown to the user. This work has the potential to reduce the amount of manual work required for quality assurance in assembly line. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://www.matec-conferences.org/articles/matecconf/abs/2022/17/contents/contents.html en_US
dc.source 23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI, Somerset-West, Cape Town, 9-11 November 2022 en_US
dc.subject Hand tracking en_US
dc.subject Quality assurance en_US
dc.subject QA en_US
dc.subject Assembly line monitoring en_US
dc.title Assembly line quality assurance through hand tracking and object detection en_US
dc.type Conference Presentation en_US
dc.description.pages 8pp en_US
dc.description.note © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/). en_US
dc.description.cluster Manufacturing en_US
dc.description.impactarea Industrial AI en_US
dc.identifier.apacitation Mokuwe, M. W., Goorun, Y., & Crafford, G. J. (2022). Assembly line quality assurance through hand tracking and object detection. http://hdl.handle.net/10204/12584 en_ZA
dc.identifier.chicagocitation Mokuwe, Mamuku W, Yurisha Goorun, and Gerhardus J Crafford. "Assembly line quality assurance through hand tracking and object detection." <i>23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI, Somerset-West, Cape Town, 9-11 November 2022</i> (2022): http://hdl.handle.net/10204/12584 en_ZA
dc.identifier.vancouvercitation Mokuwe MW, Goorun Y, Crafford GJ, Assembly line quality assurance through hand tracking and object detection; 2022. http://hdl.handle.net/10204/12584 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Mokuwe, Mamuku W AU - Goorun, Yurisha AU - Crafford, Gerhardus J AB - This work presents a vision-based quality assurance system that does assembly line monitoring. The system is developed using machine learning hand tracking and object detection methods to monitor the worker’s hand movement while evaluating the correctness of the assembly. Feedback about the order of the steps the worker has taken is continuously shown to the user. This work has the potential to reduce the amount of manual work required for quality assurance in assembly line. DA - 2022-10 DB - ResearchSpace DP - CSIR J1 - 23rd Annual International RAPDASA Conference joined by RobMech, PRASA and CoSAAMI, Somerset-West, Cape Town, 9-11 November 2022 KW - Hand tracking KW - Quality assurance KW - QA KW - Assembly line monitoring LK - https://researchspace.csir.co.za PY - 2022 T1 - Assembly line quality assurance through hand tracking and object detection TI - Assembly line quality assurance through hand tracking and object detection UR - http://hdl.handle.net/10204/12584 ER - en_ZA
dc.identifier.worklist 26333 en_US


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