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3D body (skeletal) tracking middleware
Edge AI hardware
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AI video analytics platform
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Advanced face liveness detection for digital onboarding and KYC
Scalable API for facial
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Facial and body recognition library for server, mobile and embedded solutions
3DiVi Inc., founded in 2011, is one of the leading developers of AI and machine learning (ML) technologies for computer vision.

KYC Liveness and Anti-spoofing for Digital Identity

Mobile-Technologies Inc.

About Mobile-Technologies Inc.

Mobile-Technologies is a world class leader in secure KYC and digital identity, serving government agencies and mobile operators since 2010. Mobile-Technologies is considered an industry leader in biometric solutions and devices, regulatory compliance, SIM registration, KYC audit, and KYC as a Service.

They have more than 45 references with operators and governments around the world including 100% market share in Iraq, Afghanistan, Bahrain, Benin and other markets where they are recognized and accredited as a solution provider for KYC systems by national regulators.

Mobile-Technologies is CMMI Level 3 and ISO27001 certified.

Website: www.mobile-technologies.com

Problem

Mobile-Technologies is constantly improving its flagship product "Intelligent Registration management" that requires the full stack biometric engine. Facial verification and aliveness is an evolving technology and poses a challenge to maintain and keep up to date. So a reliable and trustworthy technology partner was required.

Solution

Mobile-Technologies shortlisted and tested three vendors for facial verification against an extensive selection criteria such as robustness, commercial offering, technology compatibility and partner reputation.

Results

Mobile-Technologies has selected 3DiVi for facial liveness and verification as part of their solution offering and a major component of their biometric engine. In March 2020 Mobile-Technologies implemented the solution at one of their major customers in Africa with great success and customer satisfaction.

Products used

A set of development tools to create applications that recognize human faces and silhouettes, determine their gender, age and emotional state with active or passive liveness check.

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