Autonomous Quality Inspection 4.0 | 
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Reducing pseudo defects in PCB production by integrating machine learning (ML)
| Journal | Industrie 4.0 Management |
| Issue | Volume 37, 2021, Edition 6, Pages 52-56 |
| Share | Cite | Download |
Abstract
Customers are increasingly demanding electronic components with high quality, which forces companies to continuously fulfil these requirements. This leads to a high number of inspection gates with high inspection severity and a high number of pseudo defects. Double inspections by process experts reduce these defects but generate high inspection costs. Autonomously acting inspection systems meet this challenge. Within this article, a machine learning algorithm was integrated into the solder paste inspection process to form an autonomous quality inspection system.
Keywords
Computational Intelligence, Gradient Boosted Trees, machine learning, Qualitätsprüfung, quality inspection, solder paste inspection
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