Buy MNT Pocket Reform

MNT Pocket Reform open-source 7-inch modular laptop launched on Crowd Supply

The MNT Pocket Reform, a smaller version of the MNT Reform laptop, with a 7-inch display has just launched on Crowd Supply with an NXP i.MX8M Plus system-on-module, but also compatible with an NXP Layerscape LS1028A module, Raspberry Pi CM4, Pine64 SOQuartz, and an AMD Kintex-7 FGPA module. The open-source modular laptop also comes with a 128GB eMMC flash, 8GB RAM, WiFi 5 and Bluetooth 5.0 connectivity on-module, an optional 1TB NVMe SSD, a backlit 60-key mechanical keyboard with an optical trackball and four buttons, a micro HDMI port to connect an external display, a few USB ports, and Ethernet through an ix industrial connector. MNT Pocket Reform specifications: SoM – Boundary Devices Nitrogem8M Plus system-on-module with SoC – NXP i.MX 8M Plus quad-core Arm Cortex-A53 @ 1.8GHz with Cortex-M7 real-time core, Vivante GC7000UL GPU, 2.3 TOPS NPU with open drivers, H.264/H.265 Video Decoder with open drivers (Hantro), and HiFi4 […]

ASUS Tinker V RISC-V SBC

ASUS unveils Tinker V RISC-V single board computer, Tinker board 3 SBC with Rockchip RK3568 SoC

ASUS IoT has added two new members to the Tinker board family with the Tinker V and Tinker Board 3 single board computers powered by respectively Renesas RZ/Five single-core RISC-V SoC and Rockchip RK3568 quad-core Arm Cortex-A55 processor. ASUS Tinker V RISC-V SBC Tinker V specifications: SoC – Renesas RZ/Five single core AndesCore AX45MP RISC-V processor clocked at 1.0 GHz System Memory – 1GB DDR4 Storage – MicroSD card slot, optional 16GB eMMC flash, optional SPI flash Networking – 2x Gigabit Ethernet RJ45 ports USB – 1x Micro USB port, 1x Micro USB (OTG) port Serial – 2x CAN Bus via 6-pin terminal block 2x COM RS232 via 5-pin terminal block Expansion – 20-pin GPIO header with up to 2x UART, 2x I2C, 4x GPIO, 2x ADC, 1x SPI, 3.3V, and GND Debugging – JTAG pin header Power Supply – 10 to 24V DC via 5.5/2.5 mm DC barrel jack […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM
Srcpy 2.0

Scrcpy 2.0 Android screen mirroring and control utility for PCs released with audio forwarding support

Scrcpy 2.0 Android screen mirroring and control utility for Windows, Linux, and macOS has just been released with support for audio forwarding that enables audio to be played back into the computer/laptop, instead of the smartphone, at least for mobile devices running Android 11 or greater. We first reported about Scrcpy open-source utility in 2018, and at the time, it worked relatively well in Ubuntu 16.04 but required quite a few steps for the installation, and it would lag from time to time. I could still use the mouse and keyboard to control my phone, send SMS, chat, browse the web, play games, switch between landscape and portrait modes, and so on. Five years later, Scrcpy 2.0 has been released, the installation is much easier, and new features have been implemented. Scrcpy 2.0 highlights: Quality – 1920×1080 or above Performance – 30~120fps, depending on the device Latency – 35~70ms Startup […]

Aspinity AB2 AML100 analog machine learning Arduino Shield

Aspinity AB2 AML100 Arduino Shield supports ultra-low-power analog machine learning

Aspinity AB2 AML100 is an Arduino Shield based on the company’s AML100 analog machine learning processor that reduces power consumption by 95 percent compared to equivalent digital ML processors, and the shield works with Renesas Quick-Connect IoT platform or other development platforms with Arduino Uno Rev3 headers. The AML100 analog machine learning processor is said to consume just 15µA for sensor interfacing, signal processing, and decision-making and operates completely within the analog domain offloading most of the work from the microcontroller side that can stay its lowest power state until an event/anomaly is detected. Aspinity AB2 AML100 Arduino Shield specifications: ML chip – Aspinity AML100 analog machine learning chip Software programmable analogML core with an array of configurable analog blocks (CABs) with non-volatile memory and analog signal processing Processes natively analog data Near-zero power for inference and events detection Consumes <20µA when always-sensing Reduces analog data by 100x Supports up […]

Hailo-15 AI Vision Processor

Hailo-15 quad-core AI Vision processor delivers up to 20 TOPS for Smart Cameras

Hailo-15 is a family of AI Vision processors for smart cameras that deliver up to 20 TOPS of AI inference and are able to process deep-learning AI applications such as video analytics. The Hailo-15 appears to build upon the earlier Hailo-8 AI processor with up to 26 TOPS and more limited computer vision capability. The new AI vision processor integrates a quad-core Cortex-A53 CPU sub-system, can handle 4K video streams, and features “advanced computer vision engines”. So the main differences are that the Hailo-15 is a complete SoC / standalone processor and is specifically designed for AI cameras. Hailo-15 highlights: CPU – Quad-core Arm Cortex-A53 processor up to 1.3 GHz or 1.1 GHz (Hailo-15L) DSP – Vector DSP, 256 MACs @ 700 MHz supports up to 350 GOPs AI accelerator / NN core sub-system with dataflow architecture Hailo-15H – Up to 20 TOPS Hailo-15M – Up to 11 TOPS Hailo-15L […]

STM32H5

STMicro STM32H5 Arm Cortex-M33 MCU clocks at 250 MHz, supports STM32Trust TEE Secure Manager

STMicroelectronics has announced the STM32H5 Arm Cortex-M33 “high-performance” microcontroller family clocked at up to 250 MHz and supporting STM32Trust TEE Secure Manager to boost both performance and security in “next-generation smart applications”. The STM32H5 family has three product types namely the higher-end STM32H563/573 with up to 2MB flash, 640KB SRAM, Ethernet, and hardware security, the STM32H562 with a similar design but fewer interfaces, and the entry-level STM32H502 with 128KB flash, 32KB SRAM. STM32H5 key features and specifications: MCU core – Arm Cortex-M33 core with TrustZone technology, digital signal processing (DSP) and floating-point unit (FPU) running up to 250 MHz; Up to  375 DMIPS and a 1023 CoreMark score executing from the flash memory Memory and Storage STM32H563/573/562 – 1 to 2 Mbytes of flash memory, 640 Kbytes of SRAM STM32H503 – 128 Kbytes of flash memory and 32 Kbytes of RAM. OSPI serial flash memory interface Up to 2x SDMMC […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025
Batteryless Riotee IoT board

Riotee batteryless stackable IoT board embeds an nRF52833 module (Crowdfunding)

Nessie Circuits’ Riotee board features a Riotee module based on Nordic nRF52833 WiSoC with a 2.4 GHz radio that targets batteryless IoT applications thanks to a stackable design taking a capacitors add-on board and a solar panel. Batteries introduce maintenance costs and environmental issues with millions of batteries disposed of every day. That’s why companies are trying to provide solutions for batteryless IoT designs such as the Everactive batteryless IoT devkit or Telink energy harvesting wireless module for remote controls. The Riotee module, board, and ecosystem also aim to play their part in reducing the use of batteries in wireless IoT devices. Riotee board specifications: Riotee module Wireless MCU – Nordic nRF52833 Arm Cortex-M4F microcontroller @ 64 MHz with 512 kB flash, 128 kB RAM, 2.4 GHz radio Memory – 128 kB of non-volatile memory (MSP430FR5962 FRAM) for “automatic checkpointing of application state” Castellated holes with 11x GPIOs including two […]

ESP32-S3 Walkie-Talkie board

LILYGO T-TWR is an ESP32-S3 board with an SA868 Walkie-Talkie module

LILYGO T-TWR is an ESP32-S3 development board fitted with an SA868 Walkie-Talkie module and a UHF or VHF antenna, a speaker, a microphone, a small 0.96-inch OLED, and a 18650 battery holder, plus some I/Os for expansion. Equipped with an ESP32-S3-WROOM-1-16NR8 module, the T-TWR offers WiFi 4 and Bluetooth 5.0 connectivity, a dual-core processor with 16MB flash and 8MB PSRAM, and enables users to design their own Walkie-Talkie, while its expansion capabilities allow the control of devices. LILYGO T-TWR specifications: Wireless module – Espressif ESP32-S3-WROOM-1-N16R8 module with ESP32-S3 dual-core LX7 microprocessor @ up to 240 MHz with Vector extension for machine learning, 16MB FLASH, 8MB PSRAM, WiFi 4 and Bluetooth 5 LE/Mesh Display – 0.96-inch OLED with 128×64 resolution based on SSD1306 I2C display driver SA868 Walkie-Talkie module based on RDA1846S chip Bandwidth: 12.5 kHz/25 kHz Sensitivity: -124 dBm Support 1.6W or 1.8W mode. The latter is not recommended due […]

Boardcon LGA3576 Rockchip RK3576 System-on-Module designed for AI and IoT applications