🔍 Anomaly Detection
AI Anomaly Detection
Detect what doesn't look "normal" without needing defect samples — ideal for QC with diverse defect types
99%
Detection Rate
<1%
False Positive
<100
Normal Images Needed
Key Features
What Makes This Technology Special
Unsupervised Learning
Learn from "normal" images only — no defect images needed
Novel Defect Detection
Detect defects never seen before
Heatmap Visualization
Display heatmaps showing anomaly locations
Anomaly Score
Quantify anomaly level with numerical scores
Adjustable Threshold
Tune detection sensitivity as needed
Continual Learning
Update the definition of "normal" continuously
Benefits
Why You Need This Technology
No Defect Samples Needed
Start with just 50-100 "normal" images
Detect Unknown Defects
Find problems that have never occurred before
Reduce Labeling Cost
No need to annotate every defect type
High-Mix Production Ready
Support diverse products on a single line
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