}


AndroidManifest.xml

<application
android:name=".MainApp">
</application>


Step 4: Set Up Camera Preview

Faceplugin SDK works with CameraX.

cameraProviderFuture.addListener({
val cameraProvider = cameraProviderFuture.get()val preview = Preview.Builder().build().also {
it.setSurfaceProvider(viewFinder.surfaceProvider)
}val analysis = ImageAnalysis.Builder()
.setBackpressureStrategy(ImageAnalysis.STRATEGY_KEEP_ONLY_LATEST)
.build()

analysis.setAnalyzer(cameraExecutor) { imageProxy ->
processFrame(imageProxy)
}

cameraProvider.bindToLifecycle(this, CameraSelector.DEFAULT_FRONT_CAMERA, preview, analysis)
}, ContextCompat.getMainExecutor(this))

Step 5: Process Frame & Detect Faces

private fun processFrame(image: ImageProxy) {
val bitmap = imageProxyToBitmap(image)
val faceResult = FaceSDK.detectFace(bitmap)if (faceResult.hasFace) {
// Draw landmarks or trigger recognition
}image.close()
}

Step 6: Extract Face Embeddings

Embeddings are 128–512-dimensional vectors.

val embedding = FaceSDK.getFaceEmbedding(bitmap)


Store the embeddings in:

• SQLite

• Room database

• Server database

• Offline encrypted storage

Step 7: Perform Face Matching

val similarity = FaceSDK.compare(embedding1, embedding2)
if (similarity > 0.85) {
// Match found
}


Threshold depends on your use case.

4. Adding Liveness Detection (Anti-Spoofing)

Faceplugin provides:

Passive Liveness

No user actions required.
Detects attacks:

• Printed Photos

• Digital Screens

• Video Replays

• 3D Masks

• Deepfake videos

Active Liveness

User performs actions:

• Blink

• Smile

• Move head

• Look left / right

Code Example

val liveness = FaceSDK.checkLiveness(bitmap)
if (liveness.isRealFace) {
// Safe to continue
}


5. Real-Time Face Recognition Implementation

Combine detection + embedding extraction + matching.

override fun analyze(image: ImageProxy) {
val bitmap = imageProxyToBitmap(image)
val result = FaceSDK.recognize(bitmap)if (result.isRecognized) {
showUser(result.userId)
}
image.close()
}

6. Optimizing Accuracy on Android

To improve results:

✔ Use front camera

Higher quality for facial features.

✔ Ensure good lighting

Avoid strong backlight.

✔ Capture full face

Eyes, nose, and mouth should be clearly visible.

✔ Encourage natural expression

Neutral face gives best embeddings.

✔ Keep camera steady

Motion blur decreases accuracy.

✔ Use Faceplugin’s built-in face alignment

It improves recognition.

7. Face Recognition vs. Liveness vs. Embedding Extraction

Faceplugin provides all of the above in a single SDK.

8. Building a Face Authentication UI (Example)

Login Flow:

1. Open camera

2. Detect face

3. Check liveness

4. Extract embedding

5. Match with stored embedding

6. Authenticate user

Sample Pseudocode

if (FaceSDK.detectFace(bitmap).hasFace) {
if (FaceSDK.checkLiveness(bitmap).isRealFace) {
val emb = FaceSDK.getFaceEmbedding(bitmap)
if (FaceSDK.compare(emb, storedEmb) > threshold) {
loginSuccess()
}
}
}


9. Deploying Face Recognition in Production

Follow these best practices:

1. Store embeddings securely

Use AES encryption or Keystore API.

2. Avoid storing images

Store only embeddings.

3. Use on-device processing

Faceplugin ensures no cloud vulnerabilities.

4. Enable anti-spoofing

Mandatory for fintech & attendance systems.

5. Monitor performance

Check latency, FPS, and CPU usage.

6. Test across many devices

Low-end and high-end Android devices behave differently.

10. Use Cases for Android Face Recognition

✔ Mobile Attendance Systems

Replace manual attendance with face recognition.

✔ Identity Verification (KYC)

Banks, fintech apps, and digital onboarding.

✔ Access Control

Doors, gates, locker systems, and smart offices.

✔ Workplace Management

Employee authentication and time tracking.

✔ Retail Analytics

Customer demographic analysis (age, gender, emotion).

✔ Smart Apps

Photo enhancement, AR filters, avatar creation.

11. Why Developers Love Faceplugin Android SDK

Fast Integration

Under 30 minutes.

Small SDK Size

Ideal for lightweight apps.

High Accuracy

Trained on millions of diverse faces.

High Security

Anti-spoofing and deepfake-resistant.

Flexible Licensing

SaaS, on-premise, OEM, and perpetual licenses.

Supports All Android Versions

From Android 5.0 to Android 15.

Cross-Platform Friendly

One model works across Android, Flutter, iOS, and more.

12. Faceplugin Android SDK Features (Complete List)

Face Recognition

• Identification (1:N)

• Authentication (1:1)

• Verification

Liveness Detection

• Passive

• Active

• Multi-modal

Anti-Spoofing

• Printed paper detection

• Screen replay detection

• 3D mask detection

• Deepfake detection

Face Attributes

• Age

• Gender

• Eye closeness

• Emotion / facial expressions

• Head pose

Facial Feature Embedding

• 128D / 256D / 512D vectors

Face Quality Assessment

• Blur detection

• Illumination check

• Occlusion detection

Video Recognition

• Real-time face tracking

• Real-time recognition

13. Example: Employee Attendance App Using Faceplugin

Workflow:

1. User registers their face

2. Embeddings stored locally or server

3. During attendance:

   • Detect face

   • Check liveness

   • Extract embedding

   • Match with database

   • Log attendance with timestamp

Perfect for:

• Offices

• Schools

• Construction sites

• Hospitals

• Factories

14. FAQs

1. Does Faceplugin work offline?

Yes. 100% on-device processing.

2. Can it detect photos or fake videos?

Yes. Advanced anti-spoofing + deepfake detection.

3. How accurate is Faceplugin?

4. Can it work on low-end devices?

Yes, optimized for low-memory mobile CPUs.

15. Final Thoughts

Android developers today need reliable, secure, and high-performance biometric technology. Faceplugin provides all the components required to build world-class face recognition apps — without spending years on AI research.

Whether your goal is:

• user authentication

• employee attendance

• KYC verification

• access control

• customer analytics

Faceplugin’s Android Face Recognition SDK offers unmatched accuracy, speed, and security.

If you’re ready to integrate face recognition into your Android app, Faceplugin gives you:

✔ Fast integration
✔ High accuracy
✔ Strong anti-spoofing
✔ Lightweight SDK
✔ Works on any Android device
✔ Enterprise-grade reliability