Simple free-space communication system with visible light as part of my project during my master's first semester at the University of Jyväskylä

Un projet qui combine Arduino et PyFirmata (Python) pour contrôler l’allumage de LEDs en fonction du nombre de doigts levés détectés par une caméra. 🚀 Fonctionnalités principales ✋ Détection des doigts levés via la caméra (OpenCV / CVZone). 💡 Contrôle des LEDs : le nombre de LEDs allumées correspond au nombre de doigts levés. 🔌 Communication

This project enables voice control of LEDs connected to an Arduino board using Python's speech_recognition, pyttsx3, and PyFirmata2 libraries. Users can turn specific LEDs on or off using voice commands.

A Python program to control an Arduino RELE system, injecting pulses into surfaces for thermal analysis with a thermal imaging camera.

A library to create and send image data to an ePaper display connected to a Firmata powered microcontroller. Supports both pyFirmata and pyFirmata2!

GCRS is a gesture-controlled robotic arm system that tracks hand movements using a webcam and controls a dual-axis arm with servo motors. The project integrates OpenCV, Mediapipe, and Arduino through the Firmata protocol for real-time control.

A robotic arm that uses computer vision for real-time face detection and tracking, controlled via Arduino and PyFirmata.

Python code using pyfirmata to display messages on an LCD connected to an Arduino

Uses python to control servo motor connected to arduino microcontroller

Projects using Arduino Development Boards (Mostly Arduino UNO)

This project uses the deep learning convolutional neural network U-Net-LSTM to help cars recognize their lane along with YOLOv8 to identify signs and vehicle owners

A simple prototype for educational purpose, that tracks the forehead of a targeted face in a video sequence.

An AI-powered lighting control system utilizes Arduino and Speech Recognition technology to automate the powering process.

An AI-powered lighting control system that utilizes Arduino, Computer Vision, and gesture detection technology to automate the powering process.

An AI-powered motor controller system that utilizes Arduino, Computer Vision, and gesture detection technology to automate the PWM process.

Automation using gesture control with alert system

Arduino I2C LCD Manipulation with Python (PyFirmata) Demo

CodeePy has been created to allow Codee the robot from the Creative Science Foundation to be controlled via Python.

a computer vision project targeting the future of robotics!