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Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once
Author(s) -
Venkat Anil Adibhatla,
Huan-Chuang Chih,
Chi-Chang Hsu,
Joseph Y. Cheng,
Maysam Abbod,
Jiann-Shing Shieh
Publication year - 2021
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2021223
Subject(s) - electronics , product (mathematics) , quality (philosophy) , electronic product , printed circuit board , process (computing) , computer science , electronic component , automated optical inspection , manufacturing engineering , object (grammar) , electronic equipment , manufacturing , engineering , artificial intelligence , mechanical engineering , electrical engineering , computer hardware , business , mathematics , epistemology , operating system , marketing , philosophy , geometry
In this paper, a new model known as YOLO-v5 is initiated to detect defects in PCB. In the past many models and different approaches have been implemented in the quality inspection for detection of defect in PCBs. This algorithm is specifically selected due to its efficiency, accuracy and speed. It is well known that the traditional YOLO models (YOLO, YOLO-v2, YOLO-v3, YOLO-v4 and Tiny-YOLO-v2) are the state-of-the-art in artificial intelligence industry. In electronics industry, the PCB is the core and the most basic component of any electronic product. PCB is almost used in each and every electronic product that we use in our daily life not only for commercial purposes, but also used in sensitive applications such defense and space exploration. These PCB should be inspected and quality checked to detect any kind of defects during the manufacturing process. Most of the electronic industries are focused on the quality of their product, a small error during manufacture or quality inspection of the electronic products such as PCB leads to a catastrophic end. Therefore, there is a huge revolution going on in the manufacturing industry where the object detection method like YOLO-v5 is a game changer for many industries such as electronic industries.

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