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Yammer
A.I. Vision System for Automated Surface Defect Inspection
This presentation introduces an AI-based anomaly detection system for surface inspection of die casting products. Even minor surface defects can affect product quality, performance, and durability, making accurate detection challenging—especially for large, complex components. The system is trained using only defect-free images to learn normal surface patterns, reducing the need for large labeled datasets. It detects deviations from this norm and generates heatmaps highlighting potential defect areas and their severity. Tested on industrial images, the system shows strong accuracy and sensitivity. It can function as a fully automated inspection solution or assist human operators by identifying suspicious regions. The approach can also be extended to X-ray and other inspection methods.
When
4/15/2026
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Webinar
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Wednesday, 15 April 2026
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12:00 PM - 1:00 PM
12:00 PM
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