ARTICLE
14 June 2024
Research on Detection Technology of Micro-Components on Circuit Board Based on Digital Image Processing
Aibin Tang Yi Liu Chunyin Liu Libin Yang
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1 Department of Information Science and Engineering, Hunan University of Humanities, Science and Technology, Loudi 417000, China,
2 Hunan Xiangdian Test and Research Institute Co., LTD., Changsha 410000, China,
JERA 2024 , 8(3), 230–233; https://doi.org/10.26689/jera.v8i3.7187
© 2024 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Aiming at the stability of the circuit board image in the acquisition process, this paper realizes the accurate registration of the image to be registered and the standard image based on the SIFT feature operator and RANSAC algorithm. The device detection model and data set are established based on Faster RCNN. Finally, the number of training was continuously optimized, and when the loss function of Faster RCNN converged, the identification result of the device was obtained.

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