Seventh Sense Artificial Intelligence

The National Institute of Standards and Technology (NIST) under the US Department of Commerce conducts an independent, and non-partisan benchmark of Facial ...

Below are the March '22 test results from NIST, which show how the seventh sense algorithm has performed on VisaBorder photos of various races who might...

Seventh Sense is ISO 27001, SOC2 and GDPR compliant. Seventh Sense does not save any data for Facial Verification / Face Anti-Spoofing (Liveness). For Face ...

Good User experience: A single photo is needed to verify and check the liveness under various lighting conditions. Accuracy: The Facial recognition alg...

NIST is the National Institute of Standards and Technology, a physical sciences laboratory, and a non-regulatory agency of the United States Department of C...

NIST evaluates the algorithms on a closed dataset for FRVT 1:1 and ranks the different algorithms across different categories Visa, Border, Visa Border, Mug...

A false non-match is the failure to match two face captures from the same person, whereas a false match is when a person's face is matched to someone el...

A threshold is a balance between false positives and false negatives (not recognising someone whom you are supposed to recognise). Searches (and verificatio...

Seventh Sense has achieved a result of 0.0029. i.e., when a million images are processed, the False Match Rate is one, and the False Non-Match rate is 29 in...

The VisaBorder takes pairs from Visa and Wild datasets. The Visa photos are enrolled, and the algorithm needs to verify the images from the wild dataset. Th...