Mini Smart Home System

Overview

This project is a comprehensive Mini Smart Home System integrating face recognition and ATmega8A microcontroller, featuring multiple sensors, motors, and a custom PCB design. The system allows for automated door access, temperature control, lighting management, and security alerts, offering a fully functional smart home environment.

Features

• Face Recognition: Real-time facial detection and recognition using OpenCV and DeepFace.
• Hand Recognition: Real-time hand gestures detection to open the door and deteremine the livelessness of the user using mediapipe.
• Password Verification: Secure door access using a keypad-based password system.
• Sensors Integration:
  • Temperature sensor for environment monitoring.
  • Motion detection for security alerts.
  • Light sensor to adjust home lighting.
• Motor and Servo Control: Automates door locking/unlocking and fan control.
• Alarm System: Alerts triggered by incorrect password entries.
• User Interface: GUI developed in Python (Tkinter) for controlling the system and monitoring home conditions.
• Custom PCB Design: Designed using Altium Designer for interfacing the sensors, motors, and microcontroller.

System Architecture

The system is composed of two main components:

1. Software:

   • Face Recognition: Python-based system using OpenCV and DeepFace.
   • GUI Interface: Allows interaction with the system, displaying alerts and controlling components.
   • Serial Communication: Facilitates communication between the PC and ATmega8A using Pyserial for sending and receiving commands.

2. Hardware:

   • ATmega8A Microcontroller: Controls the sensors, motors, and LEDs.
   • Custom PCB: Interfaces the microcontroller with sensors and actuators.
   • Sensors: Includes temperature, motion, and light sensors.
   • Motors: Servo motor for door control and DC motors for fans.

Project Setup

Prerequisites

• Hardware:

  • ATmega8A Microcontroller
  • 16MHz Crystal and 22pf Capacitors
  • Sensors: Temperature, Motion, Light
  • Servo Motor, DC Motor
  • Keypad for password input
  • Buzzer for alerts

• Software:

  • Python 3.x
  • Pyserial
  • OpenCV, TensorFlow, DeepFace, Mediapipe
  • Tkinter (GUI)
  • Arduino IDE (for ATmega8A programming)

Installation Steps

1. Clone the Repository:

   git clone https://github.com/your-username/mini-smart-home-system.git
   cd Final Project Mini Smart Home System

2. Install Required Python Packages:

 pip install opencv-python tensorflow deepface pillow pyserial mediapipe numpy

3. Upload Firmware and BootLoader to Atmega8A:

• use Arduino IDE to flash the bootloader using Arduino as ISP while choosing the correct clock and baudrate.
• Flash the code using the programmer

4. Connect the Hardware to COM4 and Power It

5. Run the System:

python GUI/GUI&Hand_detector.py

PCB Design

• The PCB was designed using Altium Designer. The design , the liberaries made for each component and all other files can be found in the PcbDesign/ directory.

Acknowledgements

Special thanks to MindCloud Team, our FaceRecognition Team Rowan and Ebraim, the ATMEGA8a team ALi and Ahmed , and our PCB designer Menna