Hand Gesture LED Control with Raspberry Pi | Image Processing Tutorial

Welcome to M S Innovations! In this video, launched on April 3, 2025, Edwin kicks off an exciting new playlist dedicated to Raspberry Pi and image processing projects.

In this project, Edwin demonstrates how to control 10 LEDs using finger gestures detected by a USB camera connected to a Raspberry Pi. Leveraging the power of MediaPipe for hand tracking and OpenCV (cv2) for image processing, this setup detects the number of fingers raised and lights up the corresponding number of LEDs in real-time!

📦 Project Setup Includes:

Raspberry Pi (with official power supply)
USB-connected camera
10 LEDs + resistors connected to GPIO pins
Python libraries: OpenCV & MediaPipe

🧠 The system processes live camera frames, detects raised fingers on each hand, and averages the results over several frames for smoother LED control. This logic can even be extended to more advanced applications like robotic arms or gesture-controlled actuators!

💡 Perfect for: Raspberry Pi enthusiasts, beginners in computer vision, and DIY electronics lovers!
👉 Watch till the end for a full working demo, and don't forget to LIKE, SHARE, and SUBSCRIBE for more innovative projects.

#RaspberryPi #MediaPipe #OpenCV #LEDControl #HandTracking #DIYProjects #MSInnovations #ImageProcessing #TechTutorials #PythonProjects