The application discloses a
machine vision-based industrial product quality detection
system and method, and particularly relates to the technical field of industrial
automation; the application effectively solves the technical problem that the prior art can only complete static appearance quality detection of electronic components and cannot identify hidden functional defects of the components under rated working conditions, through multi-view appearance
image acquisition and defect analysis, a surface evaluation coefficient is quantitatively generated, and preliminary screening and
filtration of unqualified products are completed; then, rated electrical excitation is applied to the appearance qualified products, through multi-
modal machine vision imaging, multi-dimensional response images such as
infrared thermal imaging and microscopic
dynamic imaging of the components during electrified working are synchronously acquired, the functional characteristics of four core dimensions of heat, deformation, action response and photoelectric switch are accurately quantified, hidden defects without static appearance representation are effectively detected, the risk of unqualified products flowing into the market is greatly reduced, and the running stability and use safety of
terminal equipment are guaranteed from the source.