ID Verification, Biometric Authentication & Age Verification Technology.

Biometric authentication is a security strategy that depends on the unique biological features of people to confirm they are who they say they are. Biometric authentication systems compare physical or behavioural traits to stored, verified, accurate data within a database. Udentify quickly performs all verification processes in seconds.

fcase allows you to create a model that you can manage at a single point by processing all data from your own fraud detection applications, 3rd party software or aiReflex and Udentify products offered by fraud.com. This enables you to make the right decisions so that you can take faster and more effective actions.

Biometric authentication system; aims to protect data in all areas where high security is required in the digital environment. In this respect, biometric verification; It is used for access control and fraud prevention in sectors such as banking-finance, insurance, health, education and gaming for attempts such as breaches and bypassing systems. It is also preferred for fast authentication for remote customer acquisition and user engagement. In this way, it offers the most secure way of recruiting and customer acquisition experience.

Biometric authentication technology; In order to verify the identity of the real person, it combines multiple methods in a single point and interrogates it. The biometric verification system using these methods compares the person with the biometric data sets saved while registering to the system and confirms the verification if there is a successful match in multiple steps. As such, the Udentify biometric verification system is one of the most secure authentication systems ever, with the advantage of being able to be used online and with mobile devices.

Liveness detection is an artificial intelligence-assisted verification method that detects whether a person trying to log in to a system using authentication technology is a live person. Systems using this technology; It can detect whether the person trying to log in is the real person he claims to be, and whether he is trying to deceive the system with a mask, photo or video. In this way, you can verify the people who want to log in to your system with high security.

Identity verification is the process carried out to verify whether the people trying to verify their identity are the real people they claim when opening an account or benefiting from different services in institutions serving in sectors such as banking, finance, insurance.

Although identity verification is preferred to prevent fraud when opening an account, its main purpose is; To provide secure services to financial institutions that can effectively use money laundering (AML), know-your-customer (KYC) services and to greatly support them to reduce risks.

The working logic of authentication systems consists of several artificial intelligence-supported steps on the verification of a real person. In order to be able to authenticate, the identity information and biometric data of the real person (face recognition, voice recognition) are converted into biometric data sets, and then these data sets are compared with the data provided by the person trying to authenticate in the system. In case of matching, the verification is completed.

Passwordless authentication verifies people without the need for passwords in seconds with multiple authentication methods (face recognition, voice recognition, liveness detection, age verification). With the passwordless authentication method; makes it easy for your employees, players, customers to resist identity fraud with high-security verification.

The age verification system is an artificial intelligence supported verification system used for the use of age restriction application for any content and for the detection of user groups under a certain age. At the same time, the age verification system prevents the collection of personal data of minors by adhering to the frameworks determined by law.

The age verification system works with artificial intelligence supported facial recognition technology. In age verification technology, a person’s face scan data is compared with the datasets of previously modeled age groups in the database, and the algorithm determines the age group of this person.

Since age verification systems use algorithms trained with large data sets, the age determination of individuals can be done with high accuracy. This makes it easier to quickly identify people trying to bypass the system, or to exclude age groups who are not approved to log in.

In order for the identity verification process to be carried out, the identity of the person to be registered in the system must be introduced to the system. For this process, the identity document can be captured in two different ways using NFC or OCR technologies.

NFC technology is used for identity documents with ICAO-9303 standard, such as chip ID cards, passports and driver’s licenses.

OCR technology is used to capture non-chip documents such as ID and driver’s licenses and save them to the system.

What is NFC Technology?
Near Field Communication (NFC) technology is a wireless communication technology that enables users to exchange data with devices using NFC technology with one touch. With NFC, data can be transferred from device to device or from NFC-enabled chip cards to devices. With Udentify NFC Technology, it reads your identity information from the chips very quickly and saves it to the system, without the need for any other documents.

What is OCR Technology?
Optical character recognition (OCR) technology is a system that processes the texts in any scanned document or image file in order to convert and edit this data with AI support. Udentfiy scans your chipless identity document with OCR technology and quickly processes and saves your identity information without the need for additional documents or data entry.