This project demonstrates a home automation control system using hand gesture recognition, integrating OpenCV, MediaPipe, and an Arduino Uno. The system enables touchless operation of household appliances, such as a light bulb and a fan, via simple hand gestures detected by a camera. The Python program employs OpenCV for video capture, MediaPipe for real-time hand landmark detection, and serial communication to interface with the Arduino Uno. The Arduino, connected to relay modules, controls the ON/OFF states of the appliances based on gesture commands. Specific gestures correspond to different actions, such as turning devices on, off, or operating them simultaneously. The system is powered via a USB connection to a laptop, and the communication port is configured through the device manager. This approach offers an intuitive, contact-free method for home automation, enhancing convenience and hygiene while demonstrating the potential of computer vision in IoT applications.

       

The main objectives of the project are:

• Implement hand gesture-based control for home appliances.
• Use OpenCV and MediaPipe for real-time gesture recognition.
• Interface Python code with Arduino Uno via serial communication.
• Control a light bulb and fan through relay modules.
• Enable contactless and convenient home automation.

The major building blocks of the project are:

• Arduino Uno
• Relay modules
• OpenCV
• Bulb
• USB interface

Software’s used:

1. Arduino IDE compiler for Embedded C programming.
2. Express SCH for Circuit design.

Regulated Power Supply:   Block diagram:   video: