The post explains how to build an on-device face recognition app for Android using FaceNet, TensorFlow Lite, Mediapipe, and ObjectBox. It covers the face recognition pipeline process, from detecting and cropping faces with Mediapipe, transforming these into embeddings using FaceNet/TensorFlow Lite, to storing and managing data
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Building On-Device Face Recognition In AndroidHow does the face recognition pipeline work?Implementation Overview1. Reading Images From User’s Device2. Cropping faces from the image with Mediapipe’s Face Detector3. Transforming cropped face images into embeddings with FaceNet/TFLite4. Using ObjectBox to build a vector database5. Performing nearest-neighbor search and recognizing facesConclusionSort: