The oldest form of visual inspection is manual assessment by humans. With the advent of industrial image processing, this process has become increasingly automated.
However, classical systems reach their limits when conditions get difficult to control: they require complex, manually defined rules and the expertise of skilled personnel.
Technological advances in Artificial Intelligence (AI) and Machine Learning (ML) now enable new solutions that make visual inspection more efficient and more robust — even under challenging conditions.
In addition to surface inspection, 3D measurement of components is used for quality assurance. It is applied to verify dimensional accuracy and shape conformity using tactile or non-contact measurement methods.
Robot-based systems improve repeatability but are often complex and time-consuming to program or to teach.
With our developments at Fraunhofer IGD, we make inspection processes more efficient and more robust — creating tangible added value for our customers.