Glove defect detection via YOLO V5

• Main Authors: Yong, Chen How, Ahmad Fakhri, Ab. Nasir, Khairul Fikri, Muhammad, Anwar P. P., Abdul Majeed, Mohd Azraai, Mohd Razman, Muhammad Aizzat, Zakaria
• Format: Article
• Language: English
• Published: Penerbit UMP 2021
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/33977/1/Glove%20defect%20detection%20via%20YOLO%20V5.pdf; http://umpir.ump.edu.my/id/eprint/33977/; https://doi.org/10.15282/mekatronika.v3i2.7342; https://doi.org/10.15282/mekatronika.v3i2.7342

Malaysia is one of the biggest producers and exporters of gloves in the world. To meet and exceed the customer’s expectation, a predictive defect model is necessary to minimize the defect glove. There are three crucial parts to develop an effective defect glove detection model, which are data collec...