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Tutorial2 min read

Building a Face Recognition Login System for Web Apps

Developer tutorial: build a face recognition login system using a REST API — registration, authentication, and liveness verification for web applications.

Concept

Replace passwords with face recognition. Users register their face once, then log in by looking at their camera. The API handles all the AI — you build the UI and auth logic.

Registration Flow

javascript
async function registerFace(userId, imageFile) {

const formData = new FormData();

formData.append("face_image", imageFile);

const response = await fetch(

"https://faceapi.arsa.technology/api/v1/face_recognition/register_face",

{

method: "POST",

headers: { "x-key-secret": API_KEY, "x-face-uid": userId },

body: formData

}

);

return response.json();

}

Login Flow

javascript
async function loginWithFace(imageFile) {

const formData = new FormData();

formData.append("face_image", imageFile);

const response = await fetch(

"https://faceapi.arsa.technology/api/v1/face_recognition/recognize_face",

{

method: "POST",

headers: { "x-key-secret": API_KEY },

body: formData

}

);

const result = await response.json();

if (result.faces && result.faces.length > 0) {

const face = result.faces[0];

const userId = face.recognition_uidresult;

const confidence = face.recognition_confidence;

const isReal = face.passive_liveness.is_real_face;

if (userId !== "unknown" && confidence > 0.8 && isReal) {

// Authentication successful

return { success: true, userId };

}

}

return { success: false };

}

Webcam Capture

javascript
async function captureFromWebcam() {

const stream = await navigator.mediaDevices.getUserMedia({ video: true });

const video = document.createElement("video");

video.srcObject = stream;

await video.play();

const canvas = document.createElement("canvas");

canvas.width = 640;

canvas.height = 480;

canvas.getContext("2d").drawImage(video, 0, 0);

stream.getTracks().forEach(t => t.stop());

return new Promise(resolve => {

canvas.toBlob(resolve, "image/jpeg", 0.8);

});

}

Security Considerations

  • • Always check liveness detection (is_real_face) to prevent photo attacks
  • • Set a confidence threshold (recommend 0.8+)
  • • Consider active liveness for high-security apps
  • • Combine with a backup auth method (email/password)
  • • Use HTTPS for all API calls
  • For understanding 1:N recognition vs 1:1 verification, read our technical explainer.

    Get your API key and start building.

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