Human-centric
AI Computer Vision

3DiVi Inc., founded in 2011, is one of the leading developers of AI and machine learning (ML) technologies for computer vision.

Digital Onboarding & KYC

In digital onboarding, liveness detection can be used to verify the identity of a person by requiring them to perform a specific action in real-time. For example, they may be asked to blink, move their head or speak a certain phrase, which would be difficult or impossible for a fraudster to replicate using a photograph or a pre-recorded video.

Applications of Face Recognition and Computer Vision in KYC and Customer Onboarding Processes

Identity Verification

Compare facial features from a customer's photograph or live video with official identification documents, such as passports or driver's licenses to ensure the authenticity of the provided information.

Document Detection and Extraction

Detect and extract relevant information from identification documents, such as names, addresses, and document numbers. This automated process eliminates manual data entry and reduces the chances of errors, streamlining the KYC process.

Facial Liveness Detection

To prevent spoofing or fraudulent attempts, facial liveness detection techniques can be employed. Computer vision algorithms can analyze subtle facial movements, such as blinking or head rotation, to ensure that the presented face is a live person and not a still image or a mask.

Remote Onboarding

Enable remote customer onboarding, eliminating the need for customers to physically visit a bank branch. By capturing and verifying facial images or videos, banks can remotely authenticate and onboard customers, expanding their reach and improving convenience.

Biometric Authentication

3DiVi Inc. face recognition serves as a secure biometric authentication method for customer onboarding. Once a customer's face is enrolled in the system, subsequent logins or transactions can be authenticated by comparing the presented face with the enrolled template, ensuring secure access to accounts and services.

Risk Assessment and Fraud Prevention

Analyze facial features and expressions to assess potential risks during customer onboarding. This analysis can include identifying discrepancies between a customer's face and their identification document, detecting unusual behavior, or identifying suspicious patterns to prevent identity theft or fraudulent activities.

Customer Experience and Personalization

Create a personalized customer experience. Customer preferences, demographics, and previous interactions can be associated with their face, allowing banks to offer tailored products, services, and recommendations.

Compliance with Regulatory Requirements

Meet regulatory compliance requirements. By accurately verifying customer identities and conducting thorough KYC processes, banks can ensure compliance with anti-money laundering (AML) and counter-terrorism financing (CTF) regulations.

Enhanced Security

Enhance the overall security of customer onboarding processes. By accurately verifying identities and detecting fraudulent attempts, banks can minimize the risk of unauthorized access, identity theft, and financial fraud.

Streamlined Operations

Reduce manual effort and speeds up the KYC and customer onboarding processes. This streamlining of operations leads to faster customer onboarding, improved operational efficiency, and cost savings for banks.