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Creating a component anomaly detection model using Visual Inspection AI involves developing an automated system that identifies defects or irregularities in components through image analysis. This process leverages advanced computer vision and machine learning techniques to inspect parts in manufacturing, quality control, or maintenance workflows without manual intervention. The model is trained on labeled images of components, including both normal and defective samples, enabling it to learn distinguishing features of anomalies such as cracks, scratches, missing pieces, or deformities. Visual Inspection...
Google Cloud via Coursera
1 hour 30 minutes
Paid Certificate Available
English
On-Demand
Beginner
Google Cloud Training
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