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face-liveness-detection

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Face Recognition on NIST FRVT Top Ranked ,Face Liveness Detection Engine on iBeta 2 Certified, 3D Face Anti Spoofing, 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

  • Updated Oct 15, 2024
  • Kotlin

Face recognition SDK Android with 3D passive face liveness detection(anti-spoofing). Standard Face Recognition SDK This repo supports the following functionality: face matching, face compare, face comparison, facial recognition, feature extraction, face identification, face anti-spoofing and face liveness detection for IDV

  • Updated Dec 2, 2024
  • Kotlin

Liveness detection SDK Android - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

  • Updated Nov 27, 2024
  • Java
face_liveness_detection-Anti-spoofing

face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"

  • Updated Mar 24, 2023
  • Python

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof) Android SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Pose Estimation

  • Updated Nov 27, 2024
  • Kotlin

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Windows Server SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Attribute Analysis

  • Updated Nov 27, 2024
  • Python

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.

  • Updated Oct 15, 2024
  • C++

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