FaceRecognition-JavaScript

Our facial recognition algorithm is ranked among the top globally by NIST in the FRVT 1:1 leaderboard.

🔗 Latest NIST FRVT Evaluation Report (2024-12-20)

🔗 Quick Links

• 🆔 ID Document Liveness Detection (Linux): Try Here
• 🤗 Hugging Face: Visit Here
• 📚 Products & Resources: Browse Here
• 🛟 Help Center: Read Here
• 💼 KYC Verification Demo (Android): Check It Out
• 🙋‍♀️ Docker Hub: Explore Here

🧠 Overview

This repository demonstrates advanced face recognition technology by KBY-AI using JavaScript.

The models run on web browsers through the ONNX Runtime framework, enabling real-time inference on the client side.

📱 Try the App

Available on Google Play:

🎥 Performance Demo

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.

🧰 How to Run

1. Verify installation:

   npm --version
   node --version

2. Install dependencies:

   npm install

3. Build the project:

   npm run build

4. Run tests:

   npm run test

🧪 API Reference

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)

📞 Support

• 🧙 Email: contact@kby-ai.com
• 🧙 Telegram: @kbyai
• 🧙 WhatsApp: +1 909-280-2609
• 🧙 Discord: KBY-AI Community
• 🧙 Microsoft Teams: Join Here