Analysis detection of real-time metallic surface defect using MobileNetV2 and YOLOv3 on Raspberry Pi

This work presents an innovative solution utilizing a Raspberry Pi detection system to identify any defects on metallic surfaces in real-time. Manual inspection has several limitations, including time-consuming, subjective assessments, and a higher probability of human error could compromise product...

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Main Authors:	Muhammad, Muhamad Sufri, Zainudin, Muhammad Noorazlan Shah, Idris, Muhammad Idzdihar, Kang, Soh Jun, Chee, Tan An, Xian, Teoh Yu, Alsayaydeh, Jamil Abedalrahim Jamil, Razali, Md Saifullah
Format:	Article
Language:	en
Published:	Semarak Ilmu Publishing 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/119095/1/119095.pdf http://psasir.upm.edu.my/id/eprint/119095/ https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/6309
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