Classical machine vision was and is superior to human capabilities in terms of speed, repeatability and accuracy and achieves best results in quantitative measurement of structured scenes.
In contrast, humans are suited to learning by observing examples or specifications of test parts. In this way, he can distinguish between slight errors in appearance, such as those caused by perspective distortions or differences in brightness, and actual functional errors. It can assess for itself whether a change in appearance affects the required quality.
AI technology uses neural networks to achieve a learned knowledge that enables it to distinguish between anomalies, shapes and characters, while tolerating natural deviations. Thus, artificial intelligence combines the superior flexibility of humans with the performance of a machine system.