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A Survey of PCB Defect Detection Algorithms

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Abstract

Printed circuit boards (PCBs) are the first stage in manufacturing any electronic product. The reliability of the electronic product depends on the PCB. The presence of manufacturing defects in PCBs might affect the performance of the PCB and thereby the reliability of the electronic products. In this paper, the various challenges faced in identifying manufacturing defects along with a review of various learning methods employed for defect detection are presented. We compare the various techniques available in the literature for further understanding of the accuracy of these techniques in defect detection.

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Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

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Authors and Affiliations

  1. Department of ECE, SRM University-AP, Amaravati, India

    Gayathri Lakshmi, V. Udaya Sankar & Y. Siva Sankar

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  1. Gayathri Lakshmi
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  2. V. Udaya Sankar
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  3. Y. Siva Sankar
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Correspondence to V. Udaya Sankar.

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Lakshmi, G., Sankar, V.U. & Sankar, Y.S. A Survey of PCB Defect Detection Algorithms. J Electron Test 39, 541–554 (2023). https://doi.org/10.1007/s10836-023-06091-6

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