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Comprehensive Linux essentials tutorial for Raspberry Pi users, covering file management, terminal commands, and system navigation in a single session.
Learn to control Arduino using Python, enabling LED manipulation through desktop commands in this introductory tutorial on data transmission between platforms.
Learn to create a live 3D thermometer visualization using Arduino, DHT11 sensor, and Python. Combine hardware interfacing with data visualization for real-time temperature and humidity monitoring.
Learn to control real-world objects using gesture recognition with Mediapipe and Arduino. Develop a Python program to recognize hand gestures and control LEDs on an Arduino breadboard.
Learn to measure temperature and humidity using Arduino and Python with the DHT11 sensor. Includes wiring, coding, and data visualization techniques for practical IoT applications.
Learn to create a real-time 3D voltmeter model using Arduino and Python. Combine hardware interfacing with software visualization for an interactive electronics project.
Learn to create an analog voltage meter using Arduino and Python, combining hardware interfacing with 3D visualization in vPython for real-time voltage measurement and display.
Learn accurate hand gesture recognition using Python and MediaPipe. Develop algorithms to detect and train on hand landmarks, enabling precise gesture identification in real-time applications.
Create a voltage divider with Arduino and Python, visualize real-time voltage measurements in 3D using Visual Python, and learn data processing techniques for accurate voltage representation.
Explore hand gesture detection using MediaPipe and OpenCV. Learn to create distance matrices, calculate errors, and implement a basic gesture recognition algorithm in Python.
Learn to transmit data from Arduino to Python, enabling stunning 3D model animations. Explore Arduino code, Visual Studio setup, and serial communication techniques for interactive projects.
Learn to install and configure Python and Visual Studio Code for Arduino programming, ensuring compatibility with the instructor's setup and the Elegoo Super Starter Kit.
Learn to detect faces in real-time video using Mediapipe, OpenCV, and Python. Explore data parsing and visualization techniques for efficient face recognition.
Learn to parse pose and hand landmark data in Mediapipe using Python and OpenCV. Develop full-body pose estimation for live video analysis, with practical demonstrations and troubleshooting tips.
Learn real-time pose estimation using Mediapipe and Python. Discover how to analyze body landmarks, process webcam video, and visualize results with OpenCV in this hands-on tutorial.
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