Today, you can’t make people wait. Facial recognition technology speeds up the delivery of numerous services, such as passport control in an airport, online loans, POS operations, etc.
FindFace makes it possible to compare a passport photo to the passenger during airport check-in and border control procedures. It’s also used for 2-factor authentication of passengers entering electronic turnstiles. Another application uses cameras to track passengers who have checked-in and are late for their flight.
Banking and Finances
FindFace helps to distinguish unscrupulous clients and fraudsters during their first visit while being highly effective for scoring and underwriting. Facial biometrics can be used to verify ATM users and prioritize lines at branch offices. It’s also used for remote access to bank services and remote conclusion of contracts. Biometrics-powered access control to corporate networks increases data security and reduces fraud risks. The algorithm itself is protected from fraud by our original liveness technology.
VIP clients shouldn’t be digging in their wallets for their personal cards. They must be at the center of attention when entering the sales floor. It will be reflected in loyalty and sales figures.
Offices and enterprises
As an add-on to an ACS, facial recognition speeds up reissuing pass cards and increases overall security. Liveness technology protects the system from entries using fake photos or videos.
Keep blacklisted people out. During a massive event, even a minor lag at the gates can lead to overcrowding and incidents. Pre-registration by photo and automatic check-in at entry speeds up the process dramatically.
Face recognition accuracy
Recognizes 99% of faces in bad qaulity video and photo.
Visitor counting accuracy
Counts only unique visitors, differentiates customers from employees, and excludes multiple counts of the same person.
Gender and age recognition accuracy
Very high accuracy of gender and age recognition: 97% and 95%, respectively.
A typical search in a half billion-entry database takes just 0.3 sec. The algorithm is capable of processing several thousand camera channels simultaneously.
Face liveness detection technology allows you to distinguish a live face in front of a camera from a photo or video image.