Quality Assurance and Defect Detection with Anomalib

[biapalmeiro]

In case you missed that, there is a new excellent article from @adrianboguszewski about 'Quality Assurance and Defect Detection with Anomalib'.

TLDR: Anomalib, part of the Open Edge Platform, is an open-source library for visual anomaly detection that enables AI-powered quality assurance in manufacturing. Using unsupervised learning, it identifies defects without needing labeled examples. The article demonstrates how to build and deploy a fabric inspection system using Anomalib, OpenVINO for optimization, and tools such as DL Streamer and Intel® Geti™ for real-world deployment, making defect detection faster, more accurate, and scalable.

Check that out: https://medium.com/open-edge-platform/quality-assurance-and-defect-detection-with-anomalib-10d580e8f9a7