DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing

Audrey Chung, Francis Li, Jeremy Ward, Andrew Hryniowski, Alexander Wong
12/14/2023
cs.CV

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Abstract

As electronics manufacturers continue to face pressure to increase production efficiency amid difficulties with supply chains and labour shortages, many printed circuit board assembly (PCBA) manufacturers have begun to invest in automation and technological innovations to remain competitive. One such method is to leverage artificial intelligence (AI) to greatly augment existing manufacturing processes. In this paper, we present the DarwinAI Visual Quality Inspection (DVQI) system, a hardware-integration artificial intelligence system for the automated inspection of printed circuit board assembly defects in an electronics manufacturing environment. The DVQI system enables multi-task inspection via minimal programming and setup for manufacturing engineers while improving cycle time relative to manual inspection. We also present a case study of the deployed DVQI system's performance and impact for a top electronics manufacturer.

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Cite this paper

@article{chung2023dvqi,
  title  = {DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing},
  author = {Audrey Chung and Francis Li and Jeremy Ward and Andrew Hryniowski and Alexander Wong},
  year   = {2023},
  eprint = {2312.09232},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.09232v1}
}

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