CNX Software - Embedded Systems News

March 17, 2025March 19, 2025 by Debashis Das - 9 Comments

Waveshare CM5-NANO-B is a compact Raspberry Pi CM5 carrier board with the same dimensions as the Compute Module 5

Waveshare CM5 NANO B Raspberry Pi CM5 carrier bord with CM5

Waveshare has just released the CM5-NANO-B, a compact Raspberry Pi CM5 carrier board, with the same dimensions as the Compute Module 5 and multiple peripheral interfaces making it suitable for industrial automation, IoT, embedded computing, AI development, and other space-constrained applications. Key features include a Gigabit Ethernet RJ45 port, an unpopulated 40-pin Raspberry Pi GPIO header, a USB 3.2 Gen1 Type-A port, dual MIPI 4-lane interfaces, a mini HDMI port supporting 4K output, a USB audio 3.5mm jack, a microSD card slot, and a 16-pin PCIe Gen2/3 x1 connector. Power is supplied via a USB-C port (5V/5A), and additional features include an RTC battery header, a 4-pin PWM fan header, a dual-color LED indicator, and user-configurable buttons. Waveshare CM5-NANO-B specifications: Compatibility – Raspberry Pi Compute Module 5 (CM5) Storage – MicroSD card slot (for Raspberry Pi CM5 Lite) Display Mini HDMI output up to 4K resolution Up to 2x MIPI […]

March 17, 2025March 16, 2025 by Debashis Das - No Comments

Jetway F35-ASL1 – A 3.5-inch Intel Atom x7433RE SBC with dual 2.5GbE, six COM ports, and triple 4K display outputs

Jetwayipc F35 ASL1 3.5 inch subcompact SBC

Jetway F35-ASL1 3.5-inch subcompact SBC is built around the Intel Atom x7433RE (Amston Lake) processor and designed for industrial and embedded applications. This SBC supports up to 32GB of DDR5 4800MHz memory and offers triple display output via two HDMI ports, one USB Type-C DP, and an LVDS/eDP interface. It also includes two 2.5Gbps Ethernet ports, optional WiFi and Bluetooth and/or 4G LTE /5G cellular connectivity via M.2 slots. Storage options include a SATA III port, an M.2 M-Key, and an optional onboard 64GB eMMC. The board provides extensive I/O with one USB 3.2 Gen 2 Type-C, one USB 3.2 Gen 2, eight USB 2.0, and six COM ports. Built for industrial environments, it features a wide DC input range (12–28V) with power protection mechanisms (RVP, OCP, and OVP), and a rugged design supporting shock and vibration resistance. It is suitable for industrial automation, edge computing, IoT, digital signage, and […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM

March 16, 2025March 16, 2025 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Updated PineTab-V RISC-V tablet ships with Debian 12-based Linux image

Pine64 has launched an updated version of the PineTab-V RISC-V tablet with the same StarFive JH7110 SoC, 8GB RAM, and 128GB eMMC flash, but a few small hardware changes, and a Debian-based Linux image maintained by StarFive themselves. The PineTab-V is not exactly a new RISC-V tablet since it was launched in 2023, but at the time it was reserved for developers since it shipped with nothing… Users had to install the OS (that did not support the display yet) themselves, and work on the software/OS to improve it. The new model still targets developers and enthusiasts/early adopters, but at least now there’s a Debian 12 image optimized for the PineTab-V. The hardware is mostly the same, except Pine64 added an accelerometer, a status LED, an ID for the PineTab-V in the EEPROM, and a fix for slow charging while the tablet is turned off. PineTab-V (2025) specifications: SoC – […]

March 15, 2025March 15, 2025 by Jean-Luc Aufranc (CNXSoft) - 21 Comments

10-cent WCH CH570/CH572 RISC-V MCU features 2.4GHz wireless, Bluetooth LE 5.0, USB 2.0

Patrick Yang, CTO at WCH, has recently unveiled the CH570 RISC-V SoC with 2.4GHz wireless and USB 2.0 (host & device) as an upgrade to the popular CH32V003 general-purpose RISC-V MCU with more features at the same low price (10 cents). CH570 also comes with 12KB SRAM and 256KB flash (vs 2KB SRAM and 16KB flash for the CH32V003), offers up to twelve GPIO, six PWM, I2C, UART, SPI, and a 20-channel key detection module. There’s also the CH572 with the same features, except it also supports Bluetooth LE 5.0. As a side note, I wrote about the CH572 RISC-V MCU with BLE in 2019, but I guess it was scraped likely because it had OTP instead of flash…, and the new CH572 (2025) is different. WCH CH570/CH572 specifications: CPU core QingKe 32-bit RISC-V3C core @ up to 100 MHz (RV32IMBC instruction set and custom instructions) Low-power 3-stage pipeline High-speed […]

March 14, 2025 by Jean-Luc Aufranc (CNXSoft) - No Comments

UNIHIKER K10 low-cost TinyML education platform supports image detection and voice recognition

UNIHIKER K10 is a low-cost STEM education platform for TinyML applications that leverages the ESP32-S3 wireless microcontroller with vector extensions for workloads such as image detection or voice recognition. The UNIHIKER K10 also features a built-in 2.8-inch color display, a camera, a speaker, a 2-microphone array, a few sensors, a microSD card, and a BBC Micro:bit-like edge connector for power signals and GPIOs. It’s a cost-optimized version of its Linux-based big brother – the UNIHIKER M10 – first unveiled in 2022. Arnon also reviewed the UNIHIKER in 2023, showing how to configure it, use the SIoT platform with MQTT message, and program it with Jupyter Notebook, Python, or Visual Studio Code. Let’s have a closer look at the new ESP32-S3 variant. UNIHIKER K10 specifications: Core module – ESP32-S3-WROOM-1 MCU – ESP32-S3N16R8 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 8MB PSRAM, 16MB flash Wireless – WiFi 4 and […]

March 14, 2025March 14, 2025 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Geniatech AIM M2 M.2 module features Kinara Ara-2 40 TOPS AI accelerator

There are plenty of M.2 AI modules based on accelerators such as Hailo-8, MemryX MX3, or Axelera AI, but the Geniatech AIM M2 module is based on the Kinara Ara-2 40 TOPS AI accelerator that we’ve yet to cover here on CNX Software. The Key-M module is designed to handle Generative AI and transformer-based models such as Stable Diffusion at a lower price point than competitors, and operates at a typical sub-2W power consumption in computer vision workloads. Target applications include AI assistants/Copilot, gaming, smart retail, physical security, and factory automation. Geniatech AIM M2 specifications: AI Accelerator Kinara Ara-2 NPU with 40 TOPS of AI power Package – 17x17mm FCBBA System Memory – 16GB RAM (4GB/8GB Option) Host interface – PCIe Gen4 x4 Security – Secure boot and encrypted memory access Misc – Heatsink cooling Supply Voltage – 3.3V Power Consumption – Under 2 Watts (typical) TDP – 12 Watts […]

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

March 14, 2025March 13, 2025 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

PicoCalc Kit is a Raspberry Pi Pico handheld terminal with a backlit STM32 QWERTY keyboard

ClockworkPi has made several Linux handheld terminals over the years such as the GameShell or DevTerm, but the PicoCalc Kit is quite different since it relies on the Raspberry Pi Pico board plus an STM32 microcontroller to handle its built-in keyboard. The PicoCalc Kit is based on the ClockworkPi v2.0 mainboard that takes an RP2040-based Pi Pico H board, connects to a 4-inch IPS display with 320×320 resolution and stereo speakers, integrates a backlit QWERTY keyboard, and ships with a 32GB SD card with an optimized BASIC firmware. PicoCalc Kit specifications: ClockworkPi v2.0 mainboard Compatible boards – Headers for Raspberry Pi Pico H/WH, and Raspberry Pi Pico 2 / 2W MCU – STM32 for keyboard and backlight programmable with the Arduino IDE or STM32 official development tools Storage – SD card slot Display – Screen connector (SPI) Audio 2x speaker connectors 3.5mm audio jack 67-key QWERTY keyboard (I2C) Expansion Connector […]

March 13, 2025March 25, 2025 by Debashis Das - 1 Comment

Renesas RZ/V2N low-power AI MPU integrates up to 15 TOPS AI power, Mali-C55 ISP, dual MIPI camera support

Renesas has recently introduced the RZ/V2N low-power Arm Cortex-A55/M33 microprocessor designed for machine learning (ML) and computer vision applications. It features the company’s DRP-AI3 coprocessor, delivering up to 15 TOPS of INT8 “pruned” compute performance at 10 TOPS/W efficiency, making it a lower-power alternative to the RZ/V2H. Built for mid-range AI workloads, it includes four Arm Cortex-A55 cores (1.8GHz), a Cortex-M33 sub-CPU (200MHz), an optional 4K image signal processor, H.264/H.265 hardware codecs, an optional Mali-G31 GPU, and a dual-channel four-lane MIPI CSI-2 interface. The chip is around 38% smaller than the RZ/V2H MPU and operates without active cooling. The RZ/V2N is suitable for applications like endpoint vision AI, robotics, and industrial automation. Renesas RZ/V2N specifications CPU Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, […]