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tech.com Inspection Using AI: New Approaches in Quality Control By Olaf Szarlan, Marketing, Viscom AG
Industry 4.0 did not so long ago. For inspection systems used in electronics manufacturing, four main areas of application can be identified in connection with AI: classification in the verification of inspection results, segmentation for optimal defect detection in the context of image processing, sim- plified creation of inspection pro- grams, and in the area of predic- tive maintenance to reliably determine future system states. Quality inspection in elec-
T
tronics manufacturing has al - ready made some major techno- logical leaps in recent years. Ever higher camera resolutions, the introduction of 3D in optical inline inspection and X-ray, high-level automation, smart machine-to-machine communica- tion, and networking of data for comprehensive and efficient process control are all worth mentioning. Now AI has made its way into manufacturing. Computer-based applica- tions are becoming increasingly
oday, artificial intelligence comes up time and again as a buzzword — just like
capable of learning and can make independent decisions in predefined areas.
worthy additional tool in inspec- tion. New solution approaches for complex inspection tasks,
cation of inspection results. Real defects recorded in databases and pertinent examples recog- nized as false calls have always served as the foundation of qual- ity-oriented and reliable classifi- cation at Viscom. Today, the networking of
this well-established process can encompass several production lines — while verification of the results from many inspection systems can be combined at a single workstation. Thanks to the accumulated experience in the form of data and images, the detection of quality defects becomes ever more consistent and effective. The precise, verified infor-
A percentage confidence value indicates how sure AI is about its decision.
To ensure a high level of
transparency and control over the quality of AI results, Viscom is integrating AI solutions grad- ually into real production envi- ronments of its well-known cus- tomers. This makes artificial intelligence a reliable and trust-
autonomous machine processes and time savings are the key benefits of AI in the long term.
Labeled Data The first approaches in the
direction of AI can already be glimpsed in the integrated verifi-
mation can also be used for new inspection programs. A solid database like this is the corner- stone for artificial intelligence to reliably solve the tasks set for it. No wonder, then, that it is pre- cisely at the verification station where AI is being used success- fully today — and acting ever more independently. During verification, experi- Continued on next page
October, 2023
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