open source News - Page 26 of 103 - CNX Software

December 5, 2022July 10, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

UniHiker education platform teaches STEM with Mind+ and Jupyter

DFRobot UniHiker is a STEM education platform with a 2.8-inch touchscreen display, a Rockchip RK3308 quad-core Cortex-A35 processor, a GD32V RISC-V microcontroller, WiFi and Bluetooth connectivity, as well as various headers for expansion, and a BBC Micro:bit compatible edge connector. The UniHiker runs Debian 10 Linux and can be used to teach programming using Mind+ visual programming IDE or Jupyter open-source interface, as well as IoT and AI basics thanks to tutorials and lessons available in Chinese only as the platform clearly targets the education market in mainland China at this point in time. Unihiker specifications: SoC – Rockchip RK3308 Quad-core Arm Cortex-A35 processor @ 1.2GHz without GPU MCU – Gigadevice GD32VF103C8T6 RISC-V microcontroller @ 108MHz with 64KB flash, 32KB SRAM System Memory – 512MB DDR3 Storage – 16GB eMMC flash, MicroSD card socket Display – 2.8-inch touchscreen color display with 320×240 resolution Connectivity – 2.4 GHz Wi-Fi & […]

November 25, 2022 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

TinyLlama x86 retro computer uses the Raspberry Pi Zero 2 W as a MIDI synthesizer

The TinyLlama x86 retro computer board is designed to run DOS games on a DM&P Vortex86EX 32-bit x86 processor and integrates a MIDI synthesizer based on Raspberry Pi Zero 2 running MT32-Pi firmware. Growing up playing games on 386/486-era computers, Eivind Bohler looked for similar recent hardware to play DOS games and after discovering the 86Duino x86 Arduino-compatible board, he decided to use the SOM-128-EX module powering the board to create the TinyLlama board with a Sound Blaster Pro-compatible Crystal CS4237B sound chip and a MIDI synthesizer. TinyLlama specifications: D&MP SOM-128-EX system-on-module with Processor – DM&P Vortex86EX 32-bit x86 processor @ 60 to 500 MHz System Memory – 128MB DDR3 Storage – 8MB SPI flash Storage – MicroSD card socket Video Output – VGA up to 1024×768 @ 60 Hz using the Vortex86VGA module running off an x1 PCI-e lane Audio Crystal CS4237B all-in-one audio chip MIDI synthesizer with Raspberry Pi […]

November 24, 2022November 24, 2022 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Optimize your thermal design with code_saturne open-source CFD software

code_saturn open source CFD software heatsink

code_saturne is a free, open-source computational fluid dynamics (CFD) software developed primarily by EDF that can be useful to check and optimize the thermal design of your projects. From time to time, we come across hardware platforms that do not perform to their best due to overheating leading to CPU throttling, and over time it may also impact the lifetime of the device. I’ve heard about computational fluid dynamics (CFD) before, but I always assumed the software was prohibitively expensive and Formula 1 even has a cost cap for CFD testing. But it turns out there’s an open-source program to do just that: code_saturne. As a utility company, EDF designed the software to simulate the flows around and inside the buildings, pipes, and pumps used in power plants, but Lukas Henkel found out he could also use the free and open-source code_saturne program for analyzing the air currents caused by […]

November 23, 2022June 11, 2024 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

EsPiFF board combines ESP32 module with RP2040 MCU in the Raspberry Pi 4 form factor (Crowdfunding)

The EsPiFF board may look like a Raspberry Pi 4 Linux SBC but it is equipped with an ESP32-WROVER WiFi and Bluetooth module together with a Raspberry Pi RP2040 microcontroller that acts as a co-processor. The goal here is to provide a Raspberry Pi 4 replacement for applications that require higher reliability and even 24/7 operation without necessarily needing the processing power and multimedia capabilities of the Broadcom BCM2711 Arm processor found in the Pi or the versatility of a Linux operating system. EsPiFF board specifications: Wireless module – ESP32-WROVER module with dual-core ESP32-D0WDQ6 microcontroller with 2.4 GHz WiFi 4 and Bluetooth, 8 MB PSRAM and 16 MB flash Co-processor – Raspberry Pi RP2040 dual-core Cortex-M0+ microcontroller @ up to 133 MHz with 16MB flash used to emulate the Raspberry Pi’s GPIOs on the 40-pin header Additional storage 2 KB of fast FRAM for permanent storage of process data. (faster […]

November 18, 2022 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Starfish PnP machine control board combines Raspberry Pi RP2040 MCU with TMC2209 motor drivers

StarFish Raspberry Pi RP2040 PnP control board

We’ve already seen the Raspberry Pi RP2040 MCU in a 3D printer controller board, so it should come as no surprise that the dual-core microcontroller also found its way into a Pick-and-Place (PnP) machine control board. Designed by Thea Flowers, the Starfish board leverages the RP2040 MCU capabilities to control three Trinamic TMC2209 motor drivers, MOSFET drivers to control DC vacuum pumps, two vacuum sensors, and offer RS485 and I2C connectivity for feeders and peripherals respectively. Starfish specifications: MCU – Raspberry Pi RP2040 dual-core Cortex M0+ microcontroller at up to 133 MHz with 264 kB of embedded SRAM Storage – QSPI flash Motor drivers – 3x TMC2209 drivers for X, Y1, and Y2 MOSFETs – 2x MOSFETs to control the 2x vacuum pumps Valve drivers – 2x TI DRV120 single-channel relay, solenoid, and valve drivers to control two pneumatic solenoid valves Sensors – 2x CFSensor XGZP6857D I2C pressure sensor modules […]

November 7, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

RP2040 firmware converts Raspberry Pi Pico into a an I2C to USB bridge

Nicolai Electronics’ rp2040-ic2-interface open-source firmware for the Raspberry Pi Pico (or other Raspberry Pi RP2040 boards) converts the board into an I2C to USB bridge to connect any I2C sensor or module to a PC or other hardware without GPIOs. The firmware implements the USB protocol expected by the I2C-Tiny-USB kernel driver used by the original I2C-Tiny-USB project for Microchip ATMega 8-bit AVR microcontrollers. The RP2040 is however not a fork of the original project, but instead a complete re-implementation of the firmware. You’ll need to connect your I2C sensor, display, or another module to the SDA (GPIO 2) and SCL (GPIO 3) pins of the Raspberry Pi RP2040 microcontroller and flash the “pre-release” firmware to the board. You’ll find it together with the source code written in C language on GitHub. Note the project has a “proof of concept status” and more testing is needed to make sure that […]

November 4, 2022November 4, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

b-parasite Bluetooth LE plant sensor gets Zigbee support

rbaron’s b-parasite is an open-source hardware Bluetooth LE plant watering sensor that can measure soil moisture and ambient temperature/humidity/light and works with ESPHome, Home Assistant, or any macOS or Linux platforms including the Raspberry Pi boards. It is based nRF52840 multi-protocol wireless microcontroller, so stanvn decided to add Zigbee support to the b-parasite through the “Zigbee Plant Sensor” firmware based on the Nordic Semi nRF5 SDK for nRF52 series of SoCs and working with Zigbee2MQTT. Let’s have a look at b-parasite hardware specifications first: Wireless MCU – Nordic Semi nRF52840 Arm Cortex-M4F multi-protocol wireless microcontroller with Bluetooth LE 5.0 and 802.15.4 (Zigbee/Thread) radios, 1024 KB flash, 256KB SRAM Sensors Capacitive soil moisture sensor Sensirion SHTC3 temperature and humidity sensor ALS-PT19 light sensor Power – ~200 mAh CR2032 coin-cell battery estimated to last for a couple of years with readings every 10 minutes The GitHub repository for the board contains the […]

October 31, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

TinyML-CAM pipeline enables 80 FPS image recognition on ESP32 using just 1 KB RAM

TinyML-CAM image recognition microcontroller boards

The challenge with TinyML is to extract the maximum performance/efficiency at the lowest footprint for AI workloads on microcontroller-class hardware. The TinyML-CAM pipeline, developed by a team of machine learning researchers in Europe, demonstrates what’s possible to achieve on relatively low-end hardware with a camera. Most specifically, they managed to reach over 80 FPS image recognition on the sub-$10 ESP32-CAM board with the open-source TinyML-CAM pipeline taking just about 1KB of RAM. It should work on other MCU boards with a camera, and training does not seem complex since we are told it takes around 30 minutes to implement a customized task. The researchers note that solutions like TensorFlow Lite for Microcontrollers and Edge Impulse already enable the execution of ML workloads, onMCU boards, using Neural Networks (NNs). However, those usually take quite a lot of memory, between 50 and 500 kB of RAM, and take 100 to 600 ms […]