Smart Door — Face Recognition Access Control

AI-powered smart door system using ESP32-CAM, Raspberry Pi, FaceNet, and MTCNN with liveness detection.

ESP32-CAMRaspberry PiFaceNetMTCNNPythonCloudLiveness Detection

Smart Door — Face Recognition Access Control

Overview

An AI-powered smart door access control system that uses face recognition to allow or deny entry. The system employs an ESP32-CAM module for image capture, a Raspberry Pi for edge processing, FaceNet for face embedding and matching, MTCNN for face detection, and a texture-based liveness detection algorithm to prevent spoofing attacks with photos or screens. Only known/registered faces are granted access.

The system includes cloud integration for remote monitoring, real-time notifications, and an admin interface for managing authorized users. Currently an active hobby project under continued development.

Key Features

✓Face recognition access control using FaceNet embeddings

✓MTCNN face detection for robust multi-face handling

✓Texture-based liveness detection to prevent spoofing attacks

✓ESP32-CAM module for edge image capture

✓Raspberry Pi edge processing for real-time inference

✓Cloud integration for remote monitoring and user management

Technical Highlights

Combined deep learning (FaceNet + MTCNN) with embedded hardware

Implemented anti-spoofing liveness checks at the edge

Designed low-latency pipeline for real-time door access decisions

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