Transform any image into stunning E-Paper displays with this intuitive desktop application! Send photos, artwork, or graphics wirelessly to
A easy-to-follow mini smart home system that you can try to build at home using CIrcuitPython, Android Studio and W5100S EVB Pico2
Measure energy parameters (current/voltage/Power/etc) of any plugged-in device and view the dashboard & historical data charts on a web app
Built it? Deploy it! Take your Edge AI model from code to reality in a single click with our DEEPCRAFT™ - MicroPython integration.
IoT project to create a lock requiring two-factor authentication to be unlocked.
Album art from your currently playing track on a small, tiny and beautiful high resolution colour display powered by a Raspberry Pi.
Track your face using OpenCV's facial recognition.
Use Python to communicate between Arduino.
This guide provides detailed instructions on implementing face detection and face tracking in Python on the Ultra96-V2 platform.
What do you think in using Raspberry Pi & OpenCV to count moving objects that go in and out of a certain zone?
It's a simple surveillance system with motion detection and sends you the live image when motion detected using Telegram
Using MQTT, NodeMCU, DHT22, RaspberryPi and IoT MQTT Panel to monitor temperature and humidity.
Two example Python programs to use MQTT with AWS IoT for Raspberry PI / Debian / Windows
Highly scalable and powerful irrigation / hydroponic & aquaponic control system managing up to 32 zones with automation and sensors.
Uses a smartphone application to control a cursor.
Interfacing Nine DS18B20 Temperature sensors with Raspberry Pi and Displaying sensor data Using Python
Are you having problems in compiling OpenCV in Raspberry PI? Here you can learn how to do it easily.
Python does the image processing, Arduino controls the servos.
This project emulates a Philips Hue Bridge that is able to control multiple types of lights.
Xilinx Pynq framework allows us to combine Python and programmable logic. Let's look at how we can create a Pynq Image for custom boards.
Build a custom trash classifier using the Raspberry Pi and Lobe, a beginner-friendly machine learning program (without coding).
In this tutorial, we are going to learn how we can install python on our computer and how to use it with Arduino,It allows us to send data.
My yard is under attack. That’s why I used a Raspberry Pi, a Pi camera, and some machine learning to catch my yard’s attackers in action.
Using the power of Python and Arduino, this detector measures and records user temperature.
