The MicroMod RP2040 Processor Board is a low-cost, high-performance board with flexible digital interfaces featuring the Raspberry Pi Foundation's RP2040 microcontroller. The board takes advantage of the MicroMod M.2 connector to easily swap out processor boards on carrier boards.
In this tutorial, we'll explore how to use the ACS712 Current Sensor with Visuino and Arduino to measure both AC and DC currents and display the readings in Amps on an OLED screen.
Build your own CircuitPython powered MIDI controller! This "MIDI fighter"-like controller features 16 arcade buttons with built-in LEDs, an OLED screen and joystick.
Follow along with Emma and learn how to make your own. We've kept ours plain but it's the perfect platform for a spot of decoration. Let's get making...
Discover REGO, an affordable and versatile avatar robot designed for remote control via an internet browser. Powered by the LattePanda 3 Delta, REGO features face recognition, obstacle detection, and mobile navigation. Perfect for educational purposes and interactive experiences, this open-source robot combines Raspberry Pi, EZ-Robot modules, and micro:bit for an engaging learning platform in robotics.
Discover a stunning custom-built cyberdeck powered by the LattePanda Mu, featuring a slide-out mechanical keyboard, dual-boot Linux Mint and Windows 11, and a CNC-machined aluminum case. Designed by a U.S.-based web designer, this futuristic project showcases the power of modular computing and creative hardware design.
This article introduces an AI-driven smart home project developed by Intel engineer Oliver Hamilton using the LattePanda Mu development board. By integrating computer vision and edge computing technologies, the system automates home lighting control through human pose recognition. The project leverages Intel Geti for model training, OpenVINO for low-power inference on the ARM-based LattePanda Mu, and MQTT combined with Node-RED to orchestrate smart lighting (Lifx/Hue) based on user status (e.g., "at desk" or "away"). The solution addresses key smart home challenges by minimizing manual intervention and optimizing energy consumption, demonstrating the potential of compact, high-performance hardware in creating responsive AI-driven living spaces
This project displays high resolution video generated by an Adafruit Metro RP2350. The HSTX bus outputs DVI video which can be shown on an HDMI monitor. The Adafruit-DVI-HSTX library makes the project easy to write programs like this in Arduino, while displayio makes it easy in CircuitPython.