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All Journal Building of Informatics, Technology and Science
Rezky Wahyuda Sitepu
Politeknik Negeri Bandung, Bandung
Computer Science & IT

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Dataset Citra Papan Sirkuit Tercetak dengan Komponen yang Terbakar Iwan Awaludin; Trisna Gelar; Muhammad Rizqi Sholahuddin; Gina Melinia; Irvan Kadhafi; Rezky Wahyuda Sitepu
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (593.375 KB) | DOI: 10.47065/bits.v3i3.1025

Abstract

The application of artificial intelligence, especially in the automatic optical inspection of printed circuit boards or PCBs, is increasingly being carried out by researchers. Unfortunately, the data used to train and test artificial intelligence models is synthetic data. Printed circuit boards in good condition are imaged and then changed by software to give the impression of defects. In addition, the type of damage is limited to pre-operation, namely when the PCB is not yet operational. After the PCB is operational, damage can occur, for example, burned components. Until now, there is no data set of PCB images with burned components. This study, therefore, explores data retrieval techniques that can produce the required data set. This data collection technique includes hardware setup and PCB data sources. Based on the exploration results, it is concluded that a trinocular digital microscope with high resolution can produce sharp PCB images. The obstacle that arises is the difficulty of getting PCBs with burned components. The solution was obtained by referring to the PCB repair video from the Youtube channel. Several data were collected and tested with EfficientDet with 90% mAP.
Co-Authors Gelar, Trisna Gina Melinia Irvan Kadhafi Iwan Awaludin Muhammad Rizqi Sholahuddin