Our facial recognition algorithm is ranked among the top globally by NIST in the FRVT 1:1 leaderboard. badge
π Latest NIST FRVT Evaluation Report (2024εΉ΄12ζ20ζ₯)
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This repository demonstrates advanced face recognition technology by KBY-AI using JavaScript.
Download on Google PlayThe models run on web browsers through the
ONNX Runtimeframework, enabling real-time inference on the client side.
Watch a live performance demo of our app on YouTube:
You can visit our YouTube video here to see how well our demo app works.
Face Recognition Android
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Verify installation:
npm --version node --version
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Install dependencies:
npm install
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Build the project:
npm run build
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Run tests:
npm run test
loadDetectionModel() detectFace(session, canvas_id) loadLandmarkModel() predictLandmark(session, canvas_id, bbox) loadLivenessModel() predictLiveness(session, canvas_id, bbox) loadExpressionModel() predictExpression(session, canvas_id, bbox) loadPoseModel() predictPose(session, canvas_id, bbox, question) loadEyeModel() predictEye(session, canvas_id, landmark) loadGenderModel() predictGender(session, canvas_id, landmark) loadAgeModel() predictAge(session, canvas_id, landmark) loadFeatureModel() extractFeature(session, canvas_id, landmarks)
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