vnk8071/anomaly-detection-in-industry-manufacturing
Pipeline training and inference Anomalib models UI in Anomaly Detection
This project helps quality control engineers and manufacturing line supervisors automatically detect defects in industrial products. You provide images of products, some defect-free for training and others with known flaws for testing. The system then identifies anomalies in new product images, helping to quickly spot manufacturing errors. It's designed for anyone managing production quality who needs to automate visual inspection.
101 stars. No commits in the last 6 months.
Use this if you need an automated visual inspection system to identify defects in manufactured goods, reducing manual quality control efforts.
Not ideal if your anomaly detection needs go beyond visual inspection of physical products, such as detecting unusual patterns in financial data or network traffic.
Stars
101
Forks
14
Language
Python
License
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Category
Last pushed
Oct 20, 2023
Commits (30d)
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