Automated defect detection in wood inspection systems harnesses advances in high-resolution imaging, machine vision and deep learning to identify, localise and classify surface and internal anomalies ...
The system, developed by Panevo, a Canadian clear technology and manufacturing analytics company, reportedly achieved approximately 97% detection reliability with minimal false positives of Muskoka’s ...
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