Abstract
This study mainly uses automatic optical inspection (AOI) technology in the production of woven bags. When it is found that there are holes or stains on the film cloth surface exceeding 3 mm × 3 mm, it can be detected in real-time and an alarm and flashing light can be issued so that the person can pay attention to the abnormal production at that time. Since the woven bag is transported under high-speed rollers during the production process, image capture is performed to test whether the image capture technology can be applied to the production of woven bags under the high-speed movement of the woven bag. The results show that the recognition effect is very good. The device can be used for real-time inspection in the production of woven bags. The technology can also improve the technical level of woven bag production equipment. It can improve the output of woven bags.
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References
Hsu, W.C.: Safety Identification System for Fabric Defects at Laminate-Static Surface Image Identification. Project report of WFU-E-B2-10909-6 (2021)
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Acknowledgements
This research is also grateful to J&T Glory International Co., Ltd. for sponsoring the project “WFU-E-B2-10909-6: Safety Identification System for Fabric Defects at Laminate-Static Surface Image Identification.” This makes the research complete successfully.
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Hsu, WC., Chen, HC., Uang, KM., Lin, YH. (2022). An AOI-Based Surface Defect Detection Approach Applied to Woven Fabric Production Process. In: Barolli, L., Miwa, H., Enokido, T. (eds) Advances in Network-Based Information Systems. NBiS 2022. Lecture Notes in Networks and Systems, vol 526. Springer, Cham. https://doi.org/10.1007/978-3-031-14314-4_22
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DOI: https://doi.org/10.1007/978-3-031-14314-4_22
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