This repo stands for face active liveness detection, face auto capture, face recognition, face enrollment, face identification, face capture
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Updated
Jan 24, 2025 - Kotlin
This repo stands for face active liveness detection, face auto capture, face recognition, face enrollment, face identification, face capture
A character animation tool utilizing different face tracking technologies.
This is a Test about Face_Capture and Motion_Capture by using a webcamera
Flutter face attribute: face liveness detection, face recognition, face auto-capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening
Check the likelihood that two faces belong to the same person. You will get a confidence score and thresholds to evaluate the similarity. Play with our Top Ranked Face Recognition & 3D Face Passive Liveness (Anti-Spoofing) Engine!
This project is a Visitor Management System using nextJS and Typescript, Designed for managing visitors in various environments such as offices, buildings, or events. It provides role-based access control for administrators, receptionists, and guards, allowing each user type to perform specific tasks related to visitor management
Face and ID document photo web auto-capture components for identity verification in JavaScript
This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.
Face recognition React-Native SDK with 3D passive face liveness detection: face matching, face compare, face comparison, face identification, face anti-spoofing, face identity, facial recognition, face representation, face reconstruction, face tracking, and face liveness detection for IDV
Analyze a series of face related attributes including age, gender, smile intensity, head pose, eye status, emotion, beauty, eye gaze, mouth status, skin status, face image quality and blurriness.
This repository stands for face auto capture JavaScript to automatically detect and capture high-quality images of a user's face without manual intervention
This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.
The Face Recognition SDK with face liveness, face matching, face identity, face comparison, face reconstruction, face identification, face search and face compare by employing face anti-spoofing, face landmarking and face feature extraction
MiniAiLive's Complete Document Liveness Detection Solution for Digital Onboarding
Check the likelihood that two faces belong to the same person. You will get a confidence score and thresholds to evaluate the similarity. Play with our Top Ranked Face Recognition & 3D Face Liveness (anti-spoofing) Engine!
iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK
This repository contains a C++ application that demonstrates face recognition, 3D face liveness detection (anti-spoofing) capabilities using computer vision techniques. The SDK utilizes OpenCV and dlib libraries for efficient face detection and recognition.
3D Passive Face Liveness Detection!Supports Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution on Android
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