Jean-Luc Aufranc (CNXSoft), Author at CNX Software - Embedded Systems News

April 24, 2024April 24, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

ASRock SBC-262M-WT 3.5-inch motherboard features up to Intel Atom X7433RE Amston Lake processor

ASRock Industrial SBC-262M-WT is a 3.5-inch SBC motherboard powered by the latest Intel Atom x7433RE quad-core Amston Lake embedded processor with support for up to 48GB DDR5-4800 memory, triple 4K display outputs, two Ethernet ports, including one with 2.5Gbps Ethernet and Intel TSN/TCC. The motherboard also takes SATA 3.0 and M.2 Key M NVMe storage, offers multiple USB interfaces, supports WiFi and/or 4G LTE or 5G cellular connectivity via M.2 modules and SIM card socket, and provides industrial features such as a wide -40 to 85°C operating temperature range and a wide 9V to 36V DC voltage input range that make it suitable for smart retail, smart cities, and embedded industrial environments. ASRock Industrial SBC-262M-WT 3.5-inch motherboard specifications: SoC – Intel Amston Lake Processors up to Atom X7433RE quad-core processor clocked up to 3.4GHz with Intel UHD Graphics; 9W TDP System Memory – Up to 48GB single-channel DDR5 4800 MHz […]

April 24, 2024April 24, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

STMicro LSM6DSV32X Edge AI motion sensor aims to extend battery life in wearables, trackers, and activity monitors

STMicro LSM6DSV32X is a new low-power 6-axis inertial module with the company’s machine-learning core (MLC) with AI algorithms based on decision trees, a 3-axis accelerometer with a full-scale range of 32g, and a 4000 degrees-per-second gyroscope designed to measure intensive movements, impacts, and freefall height (estimation). The features of the sensors enable it to lower the power consumption for functions such as gym-activity recognition to under 6µA, while 3D orientation tracking consumes just 30µA when using STMicro’s Sensor Fusion Low-Power (SFLP) algorithm. It will be found in a range of battery-powered devices such as consumer wearables, asset trackers, and impact and fall alarms for workers or the elderly. STMicro LSM6DSV32X specifications: Triple-channel architecture for UI (user interface), EIS, and OIS data processing Data storage – Smart FIFO up to 4.5 KB Sensors Accelerometer – ±4/±8/±16/±32 g full scale Gyroscope – ±125/±250/±500/±1000/±2000/±4000 dps full scale Embedded temperature sensor Host interfaces SPI, […]

April 23, 2024April 24, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Silicon Labs BG22E, MG22E, FG22E wireless MCUs target energy harvesting, battery-free IoT devices

BG22E MG22E FG22E energy harvesting wireless microcontroller

Silicon Labs xG22E is a family of wireless SoCs consisting of the BG22E, MG22E, and FG22E and designed to operate within an ultra-low power envelope required for battery-free, energy harvesting applications such as electronic shelf labels, Smart Home sensors, remote controls, and so on. Like the just-announced Silicon Labs MG26, BG26, and PG26, the new xG22E family features a Cortex-M33 core clocked up to 76.8MHz. As an evolution of the low-power BG22, the BG22E offers Bluetooth 5.4 LE connectivity with “Energy Conservation” to further enhance battery longevity and even support designs that eliminate the need for batteries. The MG22E is similar but embeds an 802.15.4 radio for Zigbee connectivity, and the FG22E provides a 2.4GHz proprietary plus the Cortex-M33 is clocked up to 38.4MHz. Silicon Labs BG22E, MG22E, FG22E specifications: MCU – Arm Cortex-M33 @ 76.8 MHz with DSP and FPU (38.4 MHz for FG22E) Memory – Up to 32 […]

April 23, 2024April 22, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

The Open Home Foundation will manage Home Assistant, ESPHome, Zigpy among over 240 open-source Smart Home projects

The Open Home Foundation is a non-profit organization that will manage over 240 Smart Home projects, standards, drivers, and libraries including Home Assistant, ESPHome, Zigpy, Piper, and Improv Wi-Fi with the goal of “fight[ing] for the fundamental principles of privacy, choice, and sustainability for smart homes”. The non-profit was introduced during the “State of the Open Home 2024” (see video embedded at the end of this article) with Nabu Casa – the for-profit company behind Home Assistant – transferring all their projects to the new entity, and the Open Home Foundation will also help with the development of critical external projects such as Z-Wave JS, WLED, Rhasspy, and Zigbee2MQTT. The foundation further explains the goal of teaming multiple projects together in a stronger structure: We’ve done this to create a bulwark against surveillance capitalism, the risk of buyout, and open-source projects becoming abandonware. To an extent, this protection extends even […]

April 22, 2024April 22, 2024 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Testing ntttcp as an iperf3 alternative in Windows 11 (and Linux)

ntttcp (Windows NT Test TCP) is a network benchmarking utility similar to iperf3 that works in both Windows and Linux written and recommended by Microsoft over iperf3, so we’ll test the alternative in this mini review. iperf3 is a utility of choice for our reviews of single board computers and mini PCs running either Windows or Linux, but we’ve noticed that while Ethernet (up to 2.5GbE) usually performs just as well in Windows and Linux, WiFi is generally much faster in Ubuntu 22.04 than in Windows 11. So when XDA developers noticed a post by Microsoft saying iperf3 should not be used on Windows 11, it caught my attention. Microsoft explains iperf3 should not be used in Windows for three main reasons: The maintainer of iperf – ESnet (Energy Sciences Network) – says “iperf3 is not officially supported on Windows, but iperf2 is. We recommend you use iperf2. Some people […]

April 21, 2024April 21, 2024 by Jean-Luc Aufranc (CNXSoft) - 15 Comments

Rockchip RK3588’s NPU open-source driver performs object detection at 30 FPS

Tomeu Vizoso has been working on an open-source driver for NPU (Neural Processing Unit) found in Rockchip RK3588 SoC in the last couple of months, and the project has nicely progressed with object detection working fine at 30 fps using the SSDLite MobileDet model and just one of the three cores from the AI accelerator. Many recent processors include AI accelerators that work with closed-source drivers, but we had already seen reverse-engineering works on the Allwinner V831’s NPU a few years ago, and earlier this year, we noted that Tomeu Vizoso released the Etvaniv open-source driver that works on Amlogic A311D’s Vivante NPU. Tomeu has now also started working on porting his Teflon TensorFlow Lite driver to the Rockchip RK3588 NPU which is closely based on NVIDIA’s NVDLA open-source IP. He started his work in March leveraging the reverse-engineering work already done by Pierre-Hugues Husson and Jasbir Matharu and was […]

April 19, 2024 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

ESP32-S3 PowerFeather board supports up to 18V DC for solar panel input

The ESP32-S3 PowerFeather board is an Adafruit Feather-shaped ESP32-S3 WiFi and BLE IoT board that can be powered by a Li-Ion or LiPo battery and supports up to 18V DC input for direct connection to a solar panel. The developer told CNX Software that the main differentiating factor from other ESP32-S3 development boards was “its extensive power management and monitoring features” with a wide DC input range, supply and battery monitoring, and battery protection features. ESP32-S3 PowerFeather specifications: ESP32-S3-WROOM-1-N8R2 MCU – ESP32-S3 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 16 KB RTC SRAM Memory – 2MB QSPI PSRAM Storage – 8MB QSPI flash Wireless – WiFi 4 and Bluetooth 5 LE + Mesh; PCB antenna USB – 1x USB-C 1.1 OTG port for power and programming Expansion 2x 16-pin 2.54 mm pitch headers with 23x multi-function GPIO: UART, I2C, SPI, I2S, SDIO, PWM, CAN, RMT, Camera, LCD […]

April 19, 2024April 19, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Infineon PSOC Edge E81, E83, E84 Cortex-M55/M33 MCUs target Machine Learning-enhanced IoT, consumer and industrial applications

Infineon PSOC Edge E81, E83, and E84 MCU series are dual-core Cortex-M55/M33 microcontrollers with optional Arm Ethos U55 microNPU and 2.5D GPU designed for IoT, consumer, and industrial applications that could benefit from machine learning acceleration. This is a follow-up to the utterly useless announcement by Infineon about PSoC Edge Cortex-M55/M33 microcontrollers in December 2023 with the new announcement introducing actual parts that people may use in their design. The PSOC Edge E81 series is an entry-level ML microcontroller, the PSOC Edge E83 series adds more advanced machine learning with the Ethos-U55 microNPU, and the PSOC Edge E84 series further adds a 2.5D GPU for HMI applications. Infineon PSOC Edge E81, E83, E84-series specifications: MCU cores Arm Cortex-M55 high-performance CPU system up to 400 Mhz with FPU, MPU, Arm Helium support, 256KB i-TCM, 256KB D-TCM, 4MB SRAM (Edge E81/E83) or 5MB SRAM (Edge E84) Arm Cortex-M33 low-power CPU system up […]