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Self-Adapting AI for Smart Factory Defect Detection
A team of researchers at KAIST has developed a new AI technology that maintains high defect detection accuracy—even when manufacturing conditions change—without requiring costly retraining. The ...
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AI detects defects in smart factory manufacturing processes even when conditions change
Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory manufacturing sites. However, when the manufacturing process changes due to ...
TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...
Researchers built an AI system that adapts to process changes, maintaining defect detection accuracy and lowering retraining costs in smart factories. (Nanowerk News) Artificial intelligence is ...
Production delays and quality errors are a universal challenge in manufacturing. In Aerospace and defense (A&D), however, the stakes are especially high. An equipment failure or out-of-tolerance ...
SPRINGFIELD, Mass. (WWLP) – Western New England University has been awarded $500,000 through the Massachusetts AI Models Innovation Challenge to develop an artificial intelligence system that detects ...
As the semiconductor world excitingly explores the potential of new advanced package solutions for their intricate and novel designs, challenges arise from undetected defects caused by the complexity ...
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