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.
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Face Recognition for Banks and the Financial Sector

Enhancing security measures and streamlining operations with 3DiVi Inc. AI face recognition and computer vision

One of our cases

5,000+ Fraud Attempts Blocked in 4 Months with Face Recognition in a Flutter Banking App

5,000+ Fraud Attempts Blocked in 4 Months with Face Recognition in a Flutter Banking App

Applications

Enable secure biometric authentication for banking — from account access to financial transactions. Facial recognition ensures customer identity and blocks unauthorized access.
Match faces against fraud databases to detect threats and prevent identity theft, account takeovers, and unauthorized transactions.
Streamline onboarding with remote identity verification. Facial recognition matches user photos to ID documents, automating KYC and reducing manual checks.
Monitor customer flow to reduce wait times, optimize staffing, and improve service quality.
Boost ATM and payment security by detecting card skimming, unauthorized access, and suspicious behavior.
Use facial recognition to deliver personalized offers, recommendations, and in-branch assistance based on customer profiles.
Ensure compliance by accurately identifying customers and preventing money laundering or terrorist financing, strengthening overall security.
Integrated with surveillance, 3DiVi algorithms detect suspicious activity, track unauthorized access, and enable real-time security alerts.
Use 3DiVi face recognition for secure access control and accurate employee attendance, improving facility security and workforce management.
Deliver targeted campaigns and personalized offers with face recognition, strengthening customer engagement and loyalty.

Learn More About 3DiVi Products

Face and body recognition library for server, mobile or embedded solutions
Integrable face recognition system for analyzing images and video
Remote identity verification technology stack with face biometrics for digital onboarding and eKYC services

Facial security system designed to protect access to workplaces

3D body (skeletal) tracking middleware
API-module for video analysis of faces, objects, silhouettes and movements
Embedded platform for intelligent video analytics
Custom AI development
White Paper

5 Pillars to Build a Strong
Face Authentication System

CSP Compliance Checklist – Verify that your Credential Service Provider meets essential security and regulatory requirements.
Facial Image Quality Standards – Improve recognition accuracy and reduce false rejections by setting high image quality thresholds.
SMART Goals for Face Authentication – Set measurable KPIs and benchmarks based on industry standards to ensure system adoption and accuracy.
for Online Banking and Fintech Services
Trusted Methods to Mitigate Face Authentication Risks – Overcome system limitations with PAD tools, additional MFA factors, and other security measures.
Best Practices to Prevent Script Kiddie Attacks – Calculate financial risks and reduce attack attempts from script kiddies.
White Paper
5 Pillars to Build a Strong Face Authentication System
for Online Banking and Fintech Services
  • SMART Goals for Face Authentication – Set measurable KPIs and benchmarks based on industry standards to ensure system adoption and accuracy.
  • Best Practices to Prevent Script Kiddie Attacks – Calculate financial risks and reduce attack attempts from script kiddies.
  • Facial Image Quality Standards – Improve recognition accuracy and reduce false rejections by setting high image quality thresholds.
  • CSP Compliance Checklist – Verify that your Credential Service Provider meets essential security and regulatory requirements.
  • Trusted Methods to Mitigate Face Authentication Risks – Overcome system limitations with PAD tools, additional MFA factors, and other security measures.