A Facial Recognition 'Match' Isn't Evidence Until It Survives These 4 Hidden Steps

Decoding the gap between algorithmic confidence and evidentiary proof For developers building computer vision pipelines or implementing biometrics APIs, the "confidence score" is often treated as the ultimate output. We optimize for it, we threshold against it, and we deliver it to the end-user as a metric of success. However, the technical reality of facial comparison is far nuanced than a simple float between 0 and 1.