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

3DiVi Developed Quality Assessment Algorithm to Reduce False Positive Face Recognition Results

Following the new initiative of The National Institute of Standards and Technology (NIST) for FRVT Quality Summarization and Analysis 3DiVi team has developed QAA (Quality Assessment Algorithm) - a tool that allows to assess face image quality and reduce false positive recognition results.

QAA enhances biometric identification for banks, digital onboarding, access control and more. It can work with your existing face recognition algorithm, no matter what biometric vendor you currently use.

Try QAA now for free:

Single image quality check: Demo Online

To assess multiple images, please, download the build package (Linux, Ubuntu 18.04 or later):