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AI-Based Defect Detection in Metal Casting by nishagarghnd825 is a document available to read on EtoBox.
What is AI-Based Defect Detection in Metal Casting about?
The paper presents an AI-based defect detection method called ACED (Anomaly Candidate Extraction and Detection) for quality inspection of metal casting products using high-resolution images. ACED effectively identifies tiny defects while minimizing false detections, outperforming existing methods and achieving performance comparable to skilled human inspectors. The method involves image partitioning, statistical filtering based on defect specifications, and classification using an ensemble of convolutional
- Author
- nishagarghnd825
- Language
- EN