IoT-controlled LEDs with ESP32 using OpenCV and Gesture Recognition through a Camera
Project Description:
This project utilizes an ESP32 microcontroller to control LEDs connected to the Internet of Things (IoT) by analyzing hand gestures captured via a camera and processed with the OpenCV library.
Requirements:
- ESP32-based microcontroller (e.g., NodeMCU)
- Camera module (e.g., Raspberry Pi Camera or your pc camera)
- OpenCV library
- WiFi connectivity
- LEDs and suitable resistors
- Power supply
Step-by-Step Project Development:
- Hardware Assembly:
- Create a circuit to connect the ESP32 and LEDs. For example, you can connect each LED to a GPIO pin.
- Connect the camera module to the ESP32 and provide the necessary power supply.
- ESP32 Programming:
- Write a program for the ESP32 using an Arduino-compatible environment like Arduino IDE or PlatformIO. This program should establish a WiFi connection and control the LEDs using IoT protocols such as MQTT or HTTP.
- Camera Integration:
- Set up the camera module to communicate with the ESP32. You may use communication protocols like SPI or I2C. But ı used my laptop webcam with wifi
- Using OpenCV:
- Compile and install the OpenCV library for the ESP32.
- Capture video feed from the camera and process it using OpenCV. Utilize OpenCV's image processing capabilities to detect hand gestures.
- Gesture Recognition:
- Develop an algorithm to recognize hand gestures using OpenCV. For example, you can employ a color-based tracking algorithm to detect your hand, or track its movement.
- LED Control:
- When hand gestures are detected, send commands to the ESP32 to turn the LEDs on or off. You can achieve this using MQTT or HTTP protocols.
- User Interface (Optional):
- Create a mobile app or web interface to allow users to remotely control the LEDs. This interface can send commands to the ESP32 based on user interactions.
- Testing and Fine-tuning:
- Test the project and optimize it by adjusting the algorithm and making necessary corrections.
- Conclusion:
- With the completed project, you'll be able to control IoT-connected LEDs through hand gestures, such as showing or moving your hand, triggering IoT functions like turning on or off the LEDs.
- Expanding and Enhancing the Project:
- There are numerous opportunities to expand and enhance this project. You can add different LED effects for various hand gestures or integrate your project into a more complex IoT network.
- Additionally, don't forget to update the WiFi name, WiFi password, and subscriber name in Arduino. The subscriber name must remain the same.