This Arduino project is designed to turn on a fan only when humans are recognized, saving electricity and showcasing innovative technology to high schools.
- Face Detection: Utilizes a camera module and face recognition algorithm to detect human presence.
- Energy Efficiency: The fan remains off until a human is detected, reducing unnecessary power consumption.
- Educational Tool: Demonstrates the application of Arduino and face recognition technology in real-world scenarios.
- Arduino board (e.g., Arduino Uno)
- Camera module (e.g., OV7670)
- Servo motor (for fan control)
- Fan
- Other necessary wires and components
- The camera module continuously captures images and checks for human faces.
- When a face is detected, the Arduino sends a signal to the servo motor to turn on the fan.
- The fan remains on as long as a human face is present in the camera's field of view.
- Once no face is detected for a certain period, the fan is turned off to save energy.
- Energy-efficient cooling systems in homes, offices, and schools.
- Interactive exhibits for educational purposes.
- Automation in smart buildings and IoT devices.
- Integration with smart home systems for seamless control.
- Improvements in face recognition accuracy and speed.
- Expansion to other appliances for energy-efficient automation.
This project was developed as part of the Dean's Ambassador Program, aimed at inspiring innovation and technology adoption in high schools.
Feel free to contribute or suggest improvements to this project. Let's make our world more energy-efficient and tech-savvy!
And further thanks to our two friends Abhisar Anand - Abhisar Anand - Abhisar Anand for helping us with the OpenCV integration to our project and Prakhar Verma - iPrakharV - Prakhar Verma for implementing the Arduino code and functionalities.