Face detector is a face detection Android library which can be easily plugged into any camera API (given it provides a way to process its frames).

Face detector is built on top of Firebase ML Kit's face detection API.

I wrote the following article in order to explain why this project was built, how it's designed and how one can use it in a real-world Android application.

Three easy steps:

1. Add a FaceBoundsOverlay on top of your camera view.

<FrameLayout
    ...>
    
    // Any other views

    <CameraView
        ... />

    <husaynhakeem.io.facedetector.FaceBoundsOverlay
        ... />

    // Any other views
    
</FrameLayout>

2. Define a FaceDetection instance and connect it to your camera.

private val faceDetector: FaceDetector by lazy {
    FaceDetector(facesBoundsOverlay)
}

...

cameraView.addFrameProcessor {
    faceDetector.process(Frame(
            data = it.data,
            rotation = it.rotation,
            size = Size(it.size.width, it.size.height),
            format = it.format,
            isCameraFacingBack = cameraView.facing))
}

3. Setup firebase in your Android project

1. Add the code below in your root build.gradle at the end of repositories

allprojects {
    repositories {
        ...
        maven { url 'https://jitpack.io' }
    }
}

2. Add the dependency

implementation 'com.github.husaynhakeem:android-face-detector:v1.2'