Signatrue Service of Biometric User Verification
SignaTrue is
SignaTrue is an advanced user verification system. The verification algorithm is based on the biometric parameters of a person's face.
During the registration process in the system, the algorithm creates a neural network representation of the user's face on the server, which serves as the reference identification data for that individual.
How can SignaTrue help your service?
Using SignaTrue allows you to completely or partially eliminate the need for complex passwords, PIN codes, QR codes, SMS verifications, and electronic keys.
By using their own face instead of all these methods, users will have a straightforward and convenient approach, significantly increasing their loyalty to your service.
By using their own face instead of all these methods, users will have a straightforward and convenient approach, significantly increasing their loyalty to your service.
The user increases their confidence in our service by understanding that they will no longer need to store passwords and electronic keys, and the only reliable method of verification (using their face) can only be utilized by them.
By employing sophisticated anti-spoofing measures, SignaTrue ensures that only authorized access is granted, preventing unauthorized users from impersonating or attempting to deceive the system. This robust security approach helps protect against fraudulent activities and maintains the overall integrity of the service.
How does it work?
1. User Registration
- The SignaTrue algorithm creates a neural network representation of the car-sharing user's face only once.
- This neural network representation becomes the standard identifier of the person.
- The standard facial image can be either a photograph from an official document or a new photo of the person.
2. Verification Request
- When the user opens the car-sharing mobile application to rent a car, the SignaTrue algorithm automatically initiates the verification process.
- The front camera on the smartphone is activated to capture the user's face. Thus, SignaTrue evaluates the similarity of the face with the standard neural network representation.
- The user is prompted to perform several simple head movements in an unpredictable sequence in real-time. This way, SignaTrue completely eliminates the use of displayed faces on devices or photographs (Face Anti-Spoofing).
3. Data Processing
The SignaTrue service processes all incoming data from the car-sharing mobile application in real-time and makes decisions based on the following criteria:
1.Similarity of the face with the standard data of the system's user.
2.Verification of the correct execution of the head movement sequence.
3. Exclusion of identity fraud by preventing face demonstration on media.
If all the accepted data aligns - the user is verified.
The SignaTrue service processes all incoming data from the car-sharing mobile application in real-time and makes decisions based on the following criteria:
1.Similarity of the face with the standard data of the system's user.
2.Verification of the correct execution of the head movement sequence.
3. Exclusion of identity fraud by preventing face demonstration on media.
If all the accepted data aligns - the user is verified.
Use Cases
Server Software Package with SDK (Mobile and Web)
for integration into your IT infrastructure
Coming soon! A cloud service subscription for utilizing the core of the system with Mobile and Web SDKs
to integrate features into your applications.
Applications
Bank and payment systems
Online Accounting
Public Online Services
Mobile operator or other online service provider
Automated passport control systems
Online stores
Other apps and services