Pellicanus is an open source, RP2040-based INS/GNSS module that you can program using MicroPython, C or Rust. It allows you to add Vertical Reference Units (VRU), Attitude and Heading Reference Systems (AHRS), and INS/GNSS capabilities to a variety of platforms: cars, drones, autonomous vehicles, and anything else you need to track. We'll Pellicanus is designed as a 33x30 mm toothed module that can be easily integrated into your project. We also offer carrier boards with a variety of interfaces so you can evaluate the module and start development immediately.
Mico is a high-quality PDM to USB audio microphone based on the Raspberry Pi RP2040 chip. Most compact microphones available for embedded Linux systems such as the Raspberry Pi have high noise and low sensitivity. By pairing a high-quality PDM microphone with a standard USB audio output, Mico gives you an audio input platform that you can tailor to your needs. Mico is a great platform to learn and experiment with the RP2040 and digital audio. It can be used as a universal USB microphone for a Raspberry Pi, desktop or laptop computer. Mico can also be used as a high-quality USB audio input for embedded machine learning applications. Additionally, because TinyML supports RP2040, Mico can be used as a standalone edge computing audio device.
PlainDAQ is a simple, useful tool that adds basic precision analog functionality to your Raspberry Pi Pico board. It features a precision, low noise, low drift 12-bit 500k sps/s ADC. To match the ADC and maintain its noise and accuracy, all analog inputs are buffered and the ADC is driven by a high speed/low noise fully differential amplifier. It also has a 10-bit DAC that helps create analog outputs and waveforms.
ShaRPiKeebo is probably the smallest Linux computer you can find with a physical QWERTY keyboard. Measuring just 6 x 11 x 1.5 cm, it's powered by a Raspberry Pi (RPi) Zero W or 2W and features a 400x240 pixel, low-power, daylight-readable, black-and-white SHARP memory display and long-range wireless transceiver.
Bllimpduino 2 is a very low cost open source autonomous airship. It consists of Arduino M0 airship controller board and on-board WIFI and laser sensors. Two vector differential thrusters and one lift thruster. The design is simple, yet exciting.
Although Geiger counters can be used to detect amounts of radiation, and with some tricks can also differentiate between the three types of radiation (alpha, beta, and gamma), their use is limited in identifying radioactive materials. For this purpose, gamma-ray spectrometers come in handy.
Portenta X8 is a powerful industrial-grade SOM with a pre-installed Linux operating system onboard and can run device-independent software thanks to its modular container architecture. Securely perform OS/application OTA updates with onboard Wi-Fi/Bluetooth® Low Energy connectivity. It is basically two industrial products combined into one, with a power of no less than 9 cores. Utilize the Arduino environment to perform real-time tasks, while Linux handles high-performance processing. Portenta X8 features NXP® i.MX 8M Mini Cortex®-A53 quad-core up to 1.8GHz per core + 1x Cortex®-M4 up to 400MHz, and STMicroelectronics STM32H747 dual-core Cortex®-M7 up to 480Mhz +M4 32-bit Arm® MCU, up to 240MHz.
Arduino® Nicla Vision is a ready-to-use standalone camera for analyzing and processing images at the edge. It's suitable for asset tracking, object recognition and predictive maintenance thanks to its 2MP color camera, smart 6-axis motion sensor, integrated microphone and distance sensor. Quickly implement sensor nodes that send collected data to the Arduino® Cloud (or third-party vendor service) via integrated WiFi/BLE connectivity.
A Raspberry Pi board is used as the processor to process eight brain electrical signals in real time.
Open source material for the Arduino UNO Mini Limited Edition.
Maker Kits are a set of DIY open source templates for building things using IBM AI services in fun and easy ways. IBM TJBot is the first maker kit in the series. You can 3D print or laser cut the robot's body and then bring it to life using the resources provided by IBM! Additionally, you can unleash your creativity and create new recipes, using any of the available IBM AI services to bring TJBot to life! TJBot only works with Raspberry Pi.
The design uses an Arduino microcontroller as the main control chip to achieve distance measurement and display, and can intelligently avoid obstacles. The operating status of the car can be controlled through the remote control. Its structure is simple, easy to implement, the overall design is reasonable, the work is stable, the performance is good, and the detection Fast speed and easy to achieve real-time control are the design concepts of mainstream intelligent information fusion technology. It has powerful functions, modular design, strong portability, low power, and has a wide range of application fields and development prospects.