MULTI MODAL DIGITAL ONBOARDING & BIOMETRIC IDENTITY MANAGEMENT
The Mugen Tek Solution is ideally suited to authenticating a person’s identity on the fly and because our touchless fingerprint capture is designed to work ‘in-app’ the development cycle can be short.
If a business wants its customers to authenticate themselves to authorise a payment (Debi Check), accept a grant (SASSA), accept a refund (SARS Rebates) or validate their previously onboarded credentials (RICA & FICA), you can send a message ‘in-app’ just like the banks do and your customer can complete that validation on their own cell phone and in their own time.
This is a fully integrated Mobile Identity Management and Automated Verification platform!
Our solutions bring all of the benefits of award-winning technology into the palm of your hand.
Multi-Modal Biometric Technology – Digital Identity made Touchless. We have partnered with www.identy.io as our preferred biometric provider. IDENTY´s unparalleled biometrics performance delivers best in class balance between security and usability.
Our technology is based on artificial intelligence, neuro networks, and computer vision algorithms, all in the context of contactless biometrics fully optimized for mobile devices.
As convenient as Facial Recognition is, any industry sector in South Africa (financial services, retailers, insurance, health care, call centers etc.) cannot effectively eKYC/Onboard a customer using facial recognition alone when only 85% (approx.) of the population have a facial image stored at the Department of Home Affairs.
When you consider other operational factors such as lighting, ageing, posing, image quality, liveness detection and algorithm quality, you may be lucky to correctly identify 70% of your customers. That being said, our research and statistics have proven that some financial institutions have been forced to accept the fact they may successfully identify and onboard only 50% of their customers.
Research and testing show that the TOUCHLESS Fingerprint technology we use has outperformed traditional fingerprint readers and proven to be more secure and more accurate. More importantly, by using our touchless fingerprints application on a smart mobile device (Android & IOS), we can authenticate and verify every single South African citizen with an Identity Card/Book by simply taking a photograph of your thumbprint using the rear-facing camera on your phone. MUGEN TEK Solutions is now taking over and filling the gap where every single facial recognition-based solution in South Africa is failing. Our technology is designed to be seamlessly integrated into existing solutions and mobile applications.
Face AI is a face authentication mobile SDK that runs on mobile platforms Android and iOS as well as web. It is based on Touchless ID biometric interface and only requires a low end camera to capture the user's face. The software library is optimized for size and speed and can be easily integrated into existing mobile apps to enhance and offer multi-factor biometrics authentication. Face AI delivers best in class face recognition balance between false accept and false reject rates, typical of face biometrics. Face liveness and anti-spoofing mechanisms are supported providing liveness scoring for every capture through an extensive analysis of a number of parameters that are extracted from the captured camera images, thus ensuring that copies, pictures and moulds are rejected.
Finger AI is a touchless fingerprint mobile SDK that runs on mobile platforms Android and iOS. It is based on our Touchless ID biometric interface and only requires a low-end camera with flash or torch to capture the user's 10 fingerprints. The software library is optimized for size and speed and can be easily integrated into existing mobile apps to enhance and offer multi-factor biometrics authentication. Depending on how many fingers are used together to authenticate, Finger AI delivers best in class balance between false accept and false reject rates, typical of fingerprint biometrics. Touchless fingerprint liveness and anti-spoofing mechanisms are supported through an extensive analysis of a number of parameters that we extract from the captured camera images, thus ensuring that copies, pictures and moulds are rejected.