Face comparison
Efficiently verify and authenticate your clients and users with our face comparison solution.
Unissey, the most effective face comparison solution to identify and authenticate your clients
Why work with Unissey for Face Comparison ?
Ensure the security of your clients and their end-users with our effective solution:
NIST :
False Match Rate (FMR)=10 -6
False Non-Match Rate (FNMR)=0,48%
With a security threshold of 10^-6, meaning that for one false acceptance in a million (10^-6), fewer than five people out of a thousand are incorrectly rejected (=0.48%)
Optimize user experience and boost your clients' conversion rates with a solution:
- Passive : no action required from the user
- Fast : response time under 2 seconds
- Universal : works on all devices, everywhere, and for everyone.
Diversify remote identity verification processes with a flexible and easy-to-integrate solution:
Intégration : API - SDK web & mobile
Déployment : SaaS - On-premise
They trust us
“As a major trust service provider, we are committed to offering the best to our clients for securing their activities and protecting their customers. This partnership with UNISSEY will allow us to optimally meet their remote identity verification needs. Banking, insurance, real estate, regulated activities... there are many sectors to develop, providing numerous opportunities for us to further establish ourselves as leaders in trust services."
Frequently asked questions
What is 1:1 face comparison?
1:1 face comparison consists in determining the correspondence between data relating to the person's characteristics taken live (selfie video) and the person's biometric "model". The system instantly compares the biometric data supplied with data that has already been captured (e.g. a portrait extracted from an identity document).
What is 1:N face comparison?
1:N face comparison consists of determining the identity of a person. The biometric system instantly compares the data supplied (video-selfie) with all the data previously stored. It will go through its data and compare it one by one with the data supplied, thus identifying the user.
What do FMR and FNMR mean?
FMR, or False Match Rate, is the percentage of acceptance of a pair of faces during a face comparison process, even though they belong to different individuals. The higher this rate, the more compromised the system's security is.FNMR, or False Non-Match Rate, is the percentage of rejection of a pair of faces during a facecomparison process when they actually belong to the same person. The higher this rate,the worse the user experience will be.
What is the NIST ?
The National Institute of Standards and Technology is a U.S. laboratory that conducts ongoing comparative evaluations of facial biometrics algorithms.
Ready to fight identity fraud ?
Our facial biometrics experts are available to discuss your needs.
Our latest news
Unissey, an ISO 30107-3 certified facial biometric solution to digitize, secure and streamline your remote identity verification processes.