CNX Software - Embedded Systems News

May 18, 2022May 18, 2022 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

PikaScript – A lightweight Python implementation that runs on STM32 and other low-end MCUs

PikaScript is an ultra-lightweight Python engine that can run on microcontrollers with as little as 4KB of RAM and 32KB of Flash, while the more popular MicroPython requires at least 256kB of code space and 16kB of RAM. PikaScript was initially developed to run on STM32G030C8 and STM32F103C8 MCUs, meaning, for example, it works on the BluePill board, but it has also been ported to other platforms like WCH CH582 RISC-V MCU, WinnerMicro W806 C-Sky microcontroller, as well as other like Raspberry Pi RP2040, ESP32-C3, etc… but those are not quite as well supported with some features missing. PikaScript also permits the binding C function to a Python module through Pika Pre-compiler. PikaScript can run bare metal on the microcontroller, but also supports real-time operating systems such as RT-Thread and VSF (Versaloon Software Framework), as well as Linux. Just like MicroPython, it’s using a subset of Python 3, but I’d […]

May 17, 2022October 21, 2022 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Ubuntu Kylin 20.04 OS works on RISC-V hardware

China-developed Ubuntu Kylin 20.04 is now supporting RISC-V architecture with an image for HiFive Unmatched mini-ITX motherboard, and work will be done on an unnamed Starfive SBC that should be the VisionFive board with a GPUless JH7100 dual-core RISC-V SoC or an upgraded version with JH7110 SoC featuring an Imagination IMG BXE-4-32 GPU. You may have read recent reports about China asking government entities, including state-owned enterprises (SOE), to replace foreign hardware and software within a two-year period. So that means avoiding systems based on Intel and AMD processors, so working on RISC-V open architecture makes perfect sense, since over time, Chinese manufacturers should be able to make RISC-V SoCs and PCs based on those processors, albeit probably not within the next two years at any significant scale. Ubuntu Kylin 20.04 RISC-V, as well as the newly released Ubuntu Kylin 22.04 x86, can be found on the English download page […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM

May 17, 2022May 18, 2022 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

“ESP32-C3-0.42LCD” is a tiny WiFi & BLE IoT board with 0.42-inch display, Qwiic connector

01Space “ESP32-C3-0.42LCD” is a small (23.5 x 18 mm) board equipped with ESP32-C3 RISC-V WiFi and Bluetooth microcontroller, a 0.42-inch display, and a Qwicc I2C connector to easily add modules such as sensors. The first time I saw it, the form factor immediately reminded me of the nRF52840-based XIAO BLE Sense board I just used to test Edge Impulse machine learning framework. Both boards should have similar use cases, but XIAO BLE Sense includes a 6-axis IMU sensor, and I had to connect an OLED display, while the ESP32-C3 board already integrates a display, and I would have had to connect an external Qwicc module with an accelerometer. ESP32-C3-0.42LCD specifications: SoC – ESP32-C3FH4 SoC with RISC-V core @ 160 MHz, 4MB flash, 2.4GHz Wi-Fi, and Bluetooth 5 LE with Long-Range support Ceramic antenna Display – 0.42-inch LCD USB – 1x USB Type-C port for power and programming Expansion Qwiic I2C connector […]

May 17, 2022May 17, 2022 by Jean-Luc Aufranc (CNXSoft) - 15 Comments

Turing Pi 2 mini-ITX cluster board supports RK3588 based Turing RK1, Raspberry Pi CM4, and NVIDIA Jetson SoMs (Crowdfunding)

We first covered the Turing Pi V2 mini-ITX cluster board supporting up to four Raspberry Pi CM4 or NVIDIA Jetson SO-DIMM system-on-module in August 2021. The company has now launched the Turing Pi 2 on Kickstarter with a little surprise: the Turing RK1 module with Rockchip RK3588 Cortex-A76/A55 processor and up to 32GB RAM. The board allows you to mix and match modules (e.g. 3x RPi CM4 + 1x Jetson module as on the photo below), and with SATA ports, Gigabit Ethernet networking, USB 3.0 ports, mPCIe socket, you could build a fairly powerful homelab, learn Kubernetes, or self-host your own apps. Turing Pi 2 specifications: SoM interface – 4x 260-pin SO-DIMM slots for up to four Raspberry Pi CM4 with Broadcom quad-core Cortex-A72 processor, up to 8GB RAM, up to 32GB eMMC flash (adapter needed) NVIDIA Jetson Nano/TX2 NX/Xavier NX SO-DIMM system-on-modules with up to 6x Armv8 cores, and […]

May 16, 2022August 9, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Embedded World 2022 – June 21-23 – Virtual Schedule

Embedded World 2020 was a lonely affair with many companies canceling attendance due to COVID-19, and Embedded World 2021 took place online only. But Embedded World is back to Nuremberg, Germany in 2022 albeit with the event moved from the traditional month of February to June 21-23. Embedded systems companies and those that service them will showcase their latest solution at their respective booths, and there will be a conference with talks and classes during the three-day event. The programme is up, so I made my own little Embedded World 2022 virtual schedule as there may be a few things to learn, even though I won’t be attending. Tuesday, June 21, 2022 10:00 – 13:00 – Rust, a Safe Language for Low-level Programming Rust is a relatively new language in the area of systems and low-level programming. Its main goals are performance, correctness, safety, and productivity. While still ~70% of […]

May 16, 2022May 16, 2022 by Jean-Luc Aufranc (CNXSoft) - 18 Comments

iCESugar-nano is a $19 iCE40LP1k FPGA board with 3x PMOD connectors

Muse Lab’s iCESugar-nano is a tiny FPGA board based on Lattice Semi iCE40LP1K-CM36 programmable via its USB-C port through on-board iCELink debugger, and exposing I/Os for three standard PMOD connectors. The board is fully supported by Yosys open-source toolchain ( Yosys+ nextpnr + IceStorm), and the onboard debugger supports drag-and-drop programming so that you can just drag the FPGA bitstream into the virtual disk to program it through a USB Type-C cable. iCESugar-nano specifications: FPGA – Lattice Semi iCE40LP1k FPGA with 1280 LUT/8KB SRAM/PLL Storage – 2MB SPI flash (W25Q16) USB – 1x USB Type-C port for power and programming Expansion – 14x usable IOs with 1x 12-pin PMOD connectors and 2x 6-pin PMOD connectors Debugging – On-board iCELink debugger based on Arm Mbed DAPLink Misc – Adjustable clock (8/12/36/72MHz), LED Power Supply – 5V via USB-C port Dimensions – 3.9 x 1.8 cm Documentation, schematic PDF, links to tools, […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025

May 15, 2022 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Trying out Edge Impulse machine learning platform on XIAO BLE Sense board

I had seen the Edge Impulse development platform for machine learning on edge devices being used by several boards, but I hadn’t had an opportunity to try it out so far. So when Seeed Studio asked me whether I’d be interested to test the nRF52840-powered XIAO BLE Sense board, I thought it might be a good idea to review it with Edge Impulse as I had seen a motion/gesture recognition demo on the board. It was quite a challenge as it took me four months to complete the review from the time Seeed Studio first contacted me, mostly due to poor communications from DHL causing the first boards to go to customs’ heaven, then wasting time with some of the worse instructions I had seen in a long time (now fixed), and other reviews getting in the way. But I finally managed to get it working (sort of), so let’s […]

May 14, 2022May 14, 2022 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

ZUBoard 1CG – A low-cost AMD Xilinx Zynq UltraScale+ ZU1CG MPSoC FPGA development board

Avnet ZUBoard 1CG is a development board featuring the new entry-level AMD Xilinx Zynq UltraScale+ ZU1CG dual-core Cortex-A53 MPSoC with 81K FPGA system logic cells, equipped with 1GB LPDDR4 RAM, as well as SYZYGY connectors and mikroBus expansion for Click boards. Priced at $159, the board may offer a good opportunity to get started with Zynq UltraScale+ MPSoC, as it’s quite cheaper than boards based on ZU3 devices such as Ultra96-V2 or MYD-CZU3EG. Avnet says the board is suitable for artificial intelligence, machine learning, embedded vision, embedded processing, and robotics applications. ZUBoard 1CG specifications: SoC – AMD/Xilinx ZU+ MPSoC ZU1CG with Dual Cortex-A53 APU @ up to 1.3 GHz and dual Cortex-R5 RPU @ up to 533 MHz 256KB On-chip Memory 81,900 FPGA Logic Cells System Memory – 1GB LPDDR4 with on-chip ECC Storage – 256Mbit QSPI flash, microSD card, both bootable Networking – 10/100/1000M Gigabit Ethernet RJ45 port USB […]