Building a Facial Recognition System with Qdrant - Qdrant

This post details the implementation of a facial recognition system (Twin Celebrity app) using Qdrant. It describes the architecture involving FaceNet for embeddings, MTCNN for alignment, ZenML for orchestration, and Streamlit for the UI. The process involves an offline phase for generating and storing celebrity embeddings in Qdrant, and an online phase for querying user selfies against these embeddings. It also covers deployment strategies and the use of Qdrant's visualization tools for quality testing. Scalability considerations and potential future enhancements are discussed.