Solution
Machine-learning powered matching
Face geometry, texture patterns and light normalization are combined to compute similarity.
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How the model works
The model detects and aligns the face, produces a feature vector and measures vector distance.
Human oversight
Automated results always require manual verification; the system is not a decision maker.
Frequently asked questions
No, it only produces image similarity scores; there is no identity claim.
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