OS7-5 Quality Inspection of PVC Shoe Chopsticks: A Research Study

Title:	OS7-5 Quality Inspection of PVC Shoe Chopsticks: A Research Study
Publication:	ICAROB2025
Volume:	30
Pages:	200-203
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2025.OS7-5
Author(s):	Shu-Li Pai, Kuo-Hsien Hsia, Chian-Cheng Ho
Publication Date:	February 13, 2025
Keywords:	Computer Vision, Product Inspection, Quality Control, Labor Cost
Abstract:	In the past decade, the advancement of artificial intelligence technology has led to substantial growth in industrial automation. However, most manufacturing industries are still at the stage of physical labor automation, especially in the area of product inspection, where manual inspection is predominantly used. Taking a PVC shoe chopstick factory as an example, the production line operates 24 hours a day, but quality inspection requires employees to conduct checks on the next working day. This approach makes it difficult to promptly address any defects that occur during production. By incorporating computer vision technology into the PVC production line to track and measure products, it is possible to reduce the defect rate in production and decrease the personnel costs and time delays associated with manual inspection.
PDF File:	https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS7/OS7-5.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/

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