Artificial Intelligence in Visual Quality Control | 
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Using intelligent algorithms to improve product quality, increase efficiency and reduce costs
| Journal | Industrie 4.0 Management |
| Issue | Volume 36, 2020, Edition 2, Pages 57-60 |
| Share | Cite | Download |
Abstract
Manufacturing companies must work economically while delivering quality - in some industries with a zero-defect tolerance. Quality control often is carried out manually and with a time delay, thus errors can only be corrected at a late stage. Using artificial intelligence (AI), visual quality control can be automated, carried out in real time and integrated into the production process - making it more accurate, efficient and cost-effective. A case example shows the advantages of tackling AI issues in interdisciplinary teams with partners.
Keywords
Artificial intelligence, Co-Creation, Deep Learning, Künstliche Intelligenz, quality management, visual quality control
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