Project Description:

The IoT Smart Lock with Face Recognition is a modern home automation project that uses facial recognition technology integrated with an IoT-enabled locking system to enhance residential and office security. The system only unlocks the door for authorized users whose faces are recognized, and can be controlled and monitored remotely via a web interface.

Core Objective:

To build a secure, hands-free, and remotely controllable door locking system using AI (face recognition) and IoT (smart locking hardware).

Key Features:

1. Facial Recognition Access:

   • Only pre-registered faces can unlock the door.

   • Uses AI models to detect and recognize faces in real time.

2. Smart Lock Control:

   • Electronic lock is controlled via microcontroller (e.g., Arduino, Raspberry Pi, or ESP32).

   • Automatically unlocks when an authorized face is detected.

3. Web Dashboard:

   • Admin panel to add/remove users, view logs, and manage access rights.

   • Built using HTML, CSS, Bootstrap, JavaScript on the frontend.

4. Remote Monitoring & Alerts:

   • Sends real-time access notifications and alerts to admin (optional: email or SMS).

   • Displays logs of access history (timestamp + face snapshot).

5. AI Processing:

   • Facial recognition done using OpenCV + Python (or using JavaScript face recognition libraries).

   • Can integrate with cloud-based APIs or run locally using models like FaceNet.

6. Camera Integration:

   • Live video or image capture from a webcam or IoT camera (e.g., ESP32-CAM).

7. Security Features:

   • Multiple failed attempts trigger a lockout or alert.

   • Optional manual override via admin PIN or mobile app.

Tech Stack:

 Frontend:

• HTML, CSS, Bootstrap, JavaScript

• Live status display and access logs

 Backend:

• PHP / Node.js / Java – API for user management and log handling

• Stores user data, face embeddings, and access history

 AI/ML:

• Python with OpenCV & dlib or Mediapipe for face detection

• Face recognition using FaceNet or Local Binary Pattern Histograms (LBPH)

 IoT:

• ESP32 / Raspberry Pi to control the smart lock (servo motor or relay)

• Communication via Wi-Fi (MQTT or HTTP protocol)

 Database:

• MySQL / MongoDB – for storing user face data, logs, and settings