🌐 Build a practical IoT project that connects devices, databases, and Python apps for effective real-world system integration and learning experiences.

🧠 Transform your ESP32 into a versatile Programmable Logic Controller (PLC) with MicroPython for real-time logic control and execution.

Data Acquisition and Experimental Analysis with Python and Graphical User Interface

Make your PC/Mac/Linux host a "service" for your Arduino and execute any commands on it's behalf and receive the captured results! Play music, use the PC's disk drive, issue curl commands to post or retrieve anything on the web! The possibilities are endless!

AI Vision Binocular Face & Palm Vein & QR Code Recognition Sensor

This library calculates the ppm values of Methane, IsoButane, CO, Ethanol and Hydrogen using analog data obtained from the SP3S-AQ2-01 gas sensor. Additionally, the library supports Python-based data science applications, including ppm concentration graph simulations and a ppm slope estimation platform for advanced data analysis.

This library calculates ppm values ​​for MG811 gases (CO2, C2H5OH, CO, CH4 and Theoretical CO2). Ceates data science visualization applications featuring 4D Slope Estimation with 4D PPM Concentration Graph Simulation at 20-second (Response and Resume Curve) intervals.

This library offers seamless integration with Geiger counters, providing comprehensive radiation metrics such as µSv/hr, average dose rate, standard deviation, and CPM statistics (Avg, sdCPM, CPM count), while enabling advanced data science workflows through gradient-based Multidimensional Radioactive Decay Estimation using Python.

This library calculates slopes of gas sensors (MQ-2, MQ-3, MQ-4, MQ-5, MQ-6, MQ-7, MQ-8, MQ-9, MQ-131_low/high, MQ-135, MQ-136, MQ-137, MQ-138, MQ-214, MQ-216, MQ303A, MQ303B, MQ306A, MQ307A, MQ309A). Ceates data science visualization applications featuring 4D Slope Estimation with 3D MQ Graph Simulation.

This project implements a smart bot that detects blockages in pipelines using a YOLOv8 model, streams video from inside the pipeline using an ESP32-CAM, and sends real-time location data using GPS. The bot is equipped with a camera module and moves inside the pipe while detecting blockages and recording footage.