ML Kit Face Detection: Detecting Landmarks and Expressions

Google ML Kit provides on-device face detection with landmark and expression analysis. Learn detection, feature extraction, and real-time processing. Add ML Kit Dependency implementation ( "com.google.mlkit:face-detection:16.1.5" ) Basic Face Detection import com.google.mlkit.vision.common.InputImage import com.google.mlkit.vision.face.FaceDetection import com.google.mlkit.vision.face.FaceDetectorOptions val options = FaceDetectorOptions . Builder () . setPerformanceMode ( FaceDetectorOptions . PERFORMANCE_MODE_FAST ) . setLandmarkMode ( FaceDetectorOptions . LANDMARK_MODE_ALL ) . setClassificationMode ( FaceDetectorOptions . CLASSIFICATION_MODE_ALL ) . build () val detector = FaceDetection . getClient ( options ) val image = InputImage . fromBitmap ( bitmap ) detector . process ( image ) . addOnSuccessListener { faces -> for ( face in faces ) { val bounds = face . boundingBox val rotY = face . headEulerAngleY val rotZ = face . headEulerAngleZ } } Extract Face Landmarks for ( face in f