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Face Recognition SDK Javascript using ONNX Runtime Web and OpenCV.js (Face Detection, Face Landmarks, Face Liveness, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)

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Faceplugin-ltd/FaceRecognition-LivenessDetection-Javascript

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Face Recognition SDK Javascript - Fully On Premise

Overview

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

Installation

npm install faceplugin

Table of Contents

Examples

demo_202383011309.mp4
Watch the video

List of our Products

Documentation

Here are some useful documentation

Face Detection

Load detection model

loadDetectionModel()

Detect face in the image

detectFace(session, canvas_id)

Face Landmark Extraction

Load landmark extraction model

loadLandmarkModel()

Extract face landmark in the image using detection result

predictLandmark(session, canvas_id, bbox)

Face Liveness Detection

Load liveness detection model

loadLivenessModel()

Detect face liveness in the image using detection result. (Anti-spoofing)

predictLiveness(session, canvas_id, bbox)

Face Expression Detection

Load expression detection model

loadExpressionModel()

Detect face expression

predictExpression(session, canvas_id, bbox)

Face Pose Estimation

Load pose estimation model

loadPoseModel()

Predict facial pose

predictPose(session, canvas_id, bbox, question)

Eye Closeness Detection

Load eye closeness model

loadEyeModel()

Predict eye closeness

predictEye(session, canvas_id, landmark)

Gender Detection

Load gender detection model

loadGenderModel()

Predict gender using face image

predictGender(session, canvas_id, landmark)

Age Detection

Load age detection model

loadAgeModel()

Predict age using face image

predictAge(session, canvas_id, landmark)

Face Recognition

Load feature extraction model

loadFeatureModel()

Extract face feature vector in 512 dimension

extractFeature(session, canvas_id, landmarks)

Contact

If you want to get better model, please contact us

faceplugin.comfaceplugin.comfaceplugin.com

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