Smile Identity applies an ensemble of facial recognition algorithms designed to compare and predict potential matches of faces regardless of their expression, facial hair, and age.
Our service provides an estimate of the confidence level of the prediction in the form of a probability or Confidence Value.
Smile Identity has a confidence value between 0% and 100%, the higher the number, the more confident the system is about the match. The confidence score is an indication of the probability of us returning a false match/FAR (False Acceptance Rate). Smile Identity works with its partners to identity the specific use case and desired risk profile to set confidence score thresholds. The acceptance or rejection of a facial match is dependent on the score falling above or below the set threshold.