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ESP32-FingersUP

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:

  1. ESP32-based microcontroller (e.g., NodeMCU)
  2. Camera module (e.g., Raspberry Pi Camera or your pc camera)
  3. OpenCV library
  4. WiFi connectivity
  5. LEDs and suitable resistors
  6. Power supply

Step-by-Step Project Development:

  1. Hardware Assembly:

Wiring ESP32

  • 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.
  1. 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.
  1. 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
  1. 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.
  1. Gesture Recognition:

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  • 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.
  1. 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.
  1. 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.
  1. Testing and Fine-tuning:
  • Test the project and optimize it by adjusting the algorithm and making necessary corrections.
  1. 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.
  1. 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.