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FACE SDK

Top-ranked facial recognition for server, mobile and embedded solutions requiring image and streaming video processing
World class algorithm
Face recognition algorithm developed by 3DiVi is top-ranked in NIST FRVT
Open sourced samples
Quickly build web, mobile, desktop or server applications with open sourced samples
Liveness
Passive and active methods against face spoofing with photo or video (presentation attack). 3D, RGB/IR, RGB cameras are supported
Edge processing of streaming video
Set of algorithms optimized for on-device processing of real time video with no cloud computing required
FEATURES
Masked Faces
Reliably detect masks and masked faces
Streaming Video Processing
Face detection, tracking and matching from multiple video streams in real time
Liveness
Passive (RGB, IR, 3D) or active liveness detection for mobile or web application
Face Landmarks
Detect size, pitch, roll, yaw of a face along with 3D mesh and 300 facial landmarks
Face Analytics
Gender, age and emotions detection
Automatic Best Shot
Capture best shot from real time video based on face image quality parameters

FACE RECOGNITION DEMO APP
Evaluate the functionality and quality of the facial recognition algorithm by 3DiVi. Good for quick testing with your smartphone.

3DiVi Face SDK Accuracy
NIST FRVT 1:1 Performance Summary
VISA - Full Frontal image type. The images are of size 252x300 pixels. The mean interocular distance (IOD) is 69 pixels.
Mugshot - Full Frontal image type. The images are of variable sizes. The mean IOD is 113 pixels.
Border - The images are taken with a camera oriented by an attendant toward a cooperating subject. This is done under time constraints so there are role, pitch and yaw angle variations. Also background illumination is sometimes strong, so the face is under-exposed. There is some perspective distortion due to close range images. Some faces are partially cropped.
Wild - The images include many photojournalism-style images. Resolution varies very widely. The images are very unconstrained, with wide yaw and pitch pose variation. Faces can be occluded, including hair and hands.
Case Studies
Learn how 3DiVi Face SDK is used in projects around the world

DEVELOPER DOCUMENTATION

Testimonials

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Become a partner and accelerate time to market of your face recognition solution with our premium support via chat. As a partner get free SDK licenses and discounts up to 30%.
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