Experience the epitome of speed and fairness with our face recognition model Top-ranked on NIST FRVT, coupled with an advanced iBeta level 2 liveness detection engine that effectively safeguards against printed photos, video replay, 3D masks, and deepfake threats, ensuring top-tier security.
This is on-premise SDK which means everything is processed on the browser and NO data leaves the device
npm install faceplugin-face-recognition-js- Face Detection
 - Face Landmark Extraction
 - Face Liveness Detection
 - Face Expression Detection
 - Face Pose Estimation
 - Eye Closeness Detection
 - Gender Detection
 - Age Detection
 - Face Feature Embedding
 
demo_202383011309.mp4
- Face Recognition with Liveness Detection-Android (Java, Kotlin)
 - Face Recognition with Liveness Detection-iOS (Objective C, Swift)
 - Face Recognition with Liveness Detection-React Native
 - Face Recognition with Liveness Detection-Flutter
 - Face Recognition with Liveness Detection-Ionic Cordova
 - Face Recognition with Liveness Detection-.Net MAUI
 - Face Recognition with Liveness Detection-.Net WPF
 - Face Recognition with Liveness Detection-Javascript
 - Face Recognition with LivenessDetection-React
 - Face Recognition with LivenessDetection-Vue
 - Face Liveness Detection-Android (Java, Kotlin)
 - Face Liveness Detection-iOS (Objective C, Swift)
 - Face Liveness Detection-Linux
 - Face Liveness Detection-Docker
 - Open Source Face Recognition SDK
 - Face Recognition SDK
 - Liveness Detection SDK
 - Palm Recognition SDK
 - ID Card Recognition
 - ID Document Liveness Detection
 
Here are some useful documentation
Load detection model
loadDetectionModel()
Detect face in the image
detectFace(session, canvas_id)
Load landmark extraction model
loadLandmarkModel()
Extract face landmark in the image using detection result
predictLandmark(session, canvas_id, bbox)
Load liveness detection model
loadLivenessModel()
Detect face liveness in the image using detection result. (Anti-spoofing)
predictLiveness(session, canvas_id, bbox)
Load expression detection model
loadExpressionModel()
Detect face expression
predictExpression(session, canvas_id, bbox)
Load pose estimation model
loadPoseModel()
Predict facial pose
predictPose(session, canvas_id, bbox, question)
Load eye closeness model
loadEyeModel()
Predict eye closeness
predictEye(session, canvas_id, landmark)
Load gender detection model
loadGenderModel()
Predict gender using face image
predictGender(session, canvas_id, landmark)
Load age detection model
loadAgeModel()
Predict age using face image
predictAge(session, canvas_id, landmark)
Load feature extraction model
loadFeatureModel()
Extract face feature vector in 512 dimension
extractFeature(session, canvas_id, landmarks)
If you want to get better model, please contact us
