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
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.