CNX Software - Embedded Systems News

March 17, 2025March 23, 2025 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

MicroPython-programmable OpenMV N6 and AE3 AI camera boards run on battery for years (Crowdfunding)

OpenMV has launched two new edge AI camera boards programmable with MicroPython: the OpenMV AE3 powered by an Alif Ensemble E3 dual Cortex-M55, dual Ethos-U55 micro NPU SoC, and the larger OpenMV N6 board based on an STMicro STM32N6 Cortex-M55 microcontroller with a 1 GHz Neural-ART AI/ML accelerator. Both can run machine vision workloads for several years on a single battery charge. The OpenMV team has made several MCU-based camera boards and corresponding OpenMV firmware for computer vision, and we first noticed the company when they launched the STM32F427-based OpenMV Cam back in 2015. A lot of progress has been made over the years in terms of hardware, firmware, and software, but the inclusion of AI accelerators inside microcontrollers provides a leap in performance, and the new OpenMV N6 and AE3 are more than 100x faster than previous OpenMV Cams for AI workloads. For example, users can now run object […]

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

IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMD Technologies has recently introduced the IMDT V2N SoM based on the newly launched Renesas RZ/V2N low-power AI MPU and its SBC carrier board designed for robotics, smart cities, industrial automation, and IoT applications. The SoM ships with 8GB RAM and 32GB eMMC flash, and supports various interfaces through B2B connectors including two 4-lane MIPI CSI-2 interfaces, a MIPI DSI display interface, and more. The SBC supports MIPI DSI or HDMI video output, dual GbE, WiFi 4 and Bluetooth 5.2, as well as expansion capabilities through M.2 sockets. IMDT V2N SBC specifications: IMDT V2N SoM SoC – Renesas RZ/V2N 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, max frequency 1.26 GHz) Neon, FPU, MMU, and cryptographic extension (for security models) Armv8-A architecture System Manager […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM

March 17, 2025March 17, 2025 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

M5Stack Unit Gateway H2 – A tiny ESP32-H2 Thread/Zigbee gateway selling for $6.50

M5Stack’s Unit Gateway H2 is a small Thread/Zigbee gateway powered by the ESP32-H2-MINI-1 module with an 802.15.4 radio for Zigbee 3.0, Thread 1.3, and Matter connectivity. The Unit Gateway H2, also known as Gateway H2 Unit…, can operate as a gateway (e.g. a Thread Board Router) or a terminal device that communicates with a M5Stack device via serial/UART through the Grove interface. It also features a USB-C port for power, firmware flash, and debugging. M5Stack says it’s suitable for smart homes, environmental monitoring, sensor networks, and low-power wireless communication nodes. M5Stack Gateway H2 Unit specifications: Wireless module – ESP32-H2-MINI-1-N2 SoC – Espressif Systems ESP32-H2 CPU – 32-bit RISC-V SoC clocked at up to 96 MHz RAM and storage – 320 KB SRAM, 128 KB ROM, 4 KB LP memory Wireless – 802.15.4 radio with Zigbee 3.0, Thread 1.3, and Matter support. (Note: the ESP32-H2 also supports Bluetooth 5.2 LE/Mesh, […]

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 […]

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 – […]

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

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 […]