[2312.09232] DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing
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Computer Science > Computer Vision and Pattern Recognition

arXiv:2312.09232 (cs)
[Submitted on 14 Dec 2023]

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

Authors:Audrey Chung, Francis Li, Jeremy Ward, Andrew Hryniowski, Alexander Wong
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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.
Comments: 8 pages
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2312.09232 [cs.CV]
  (or arXiv:2312.09232v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2312.09232

Submission history

From: Alexander Wong [view email]
[v1] Thu, 14 Dec 2023 18:56:54 UTC (5,249 KB)
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