Mekotronics D58 embedded computer features 6 HDMI outputs for video walls or mirrored displays

RK3588 embedded computer 6x HDMI video wall

Mekotronics D58 is a Rockchip RK3588 embedded computer running Android or Linux with six HDMI outputs for 4K video walls or multiple mirrored displays that should be mostly useful for digital signage applications. The system comes with up to 16GB RAM and 128GB eMMC flash, supports NVMe and SATA storage, comes with two GbE ports, WiFi 6 connectivity, optional 4G LTE and GNSS, one 4K-capable HDMI input port, four USB ports, some DB9 connectors for serial communication (RS232, RS485, TTL), and a terminal block with GPIOs and CAN bus. Mekotronics D58 specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x Cortex‑A76  cores @ up to 2.4 GHz, 4x Cortex‑A55 core @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU with support for OpenGL ES 1.1/2.0/3.2, OpenCL 2.2, Vulkan 1.2 Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 AV1, 1080p60 MPEG-2/-1, VC-1, VP8 Video encoder – […]

600 MHz STM32H7R/S Cortex-M7 MCUs feature 620KB SRAM, 64KB boot flash, optional NeoChrom GPU

STMicro STM32H7RS

STMicro has launched the high-performance 600 MHz STM32H7R/S Arm Cortex-M7 microcontrollers: the STM32H7R3/S3 General-purpose MCU lines, and STM32H7R7/S7 graphics MCU lines adding a NeoChrom 2.5D GPU. Both ship with a large 620KB SRAM and a small 64KB boot flash. The reason for the small boot flash is to have the application code and data stored off-chip memory ICs to provide more flexibility to customers when it comes to the choice of memory type and capacity to fulfill the application requirements and lower the BoM cost. The “S” in the STM32H7S microcontrollers stands for Security with a crypto/hash engine that can help the final product achieve SESIP Level 3 and/or PSA Certified Level 3 certifications. Many of the specifications are similar to the STM32H7 microcontrollers, but performance is better going slightly faster than the 550MHz STM32H7 MCUs added in 2020, and the STM32H7R/S adds some new features: 200 MHz Hexadeca SPI […]

Xtherm II TS2+ review – A 256×192 thermal imager tested with an Android smartphone

Xinfrared Xtherm II TS2+ Review Android

Shortly after I wrote about the Mustool MT13S 2-in-1 thermal imager and multimeter, Xinfrared asked me if I wanted to review the Xtherm II TS2+ thermal imager for smartphones. They offer versions that work for Android or iOS smartphones, so the company sent me the Android version of the Xtherm II TS2+ for review. After listing the key features and specifications, I’ll go through an unboxing, and report my experience using the thermal imager with the OPPO A98 5G smartphone running Android 14. Xtherm II TS2+ specifications Minimum focus – 8mm Resolution – 256×192 Pixel Pitch – 12μm FOV – 44.9° x 33.4° Image Frame Rate – 25Hz NETD (Noise Equivalent Temperature Difference) – ≤40mK@25°C, F#1.0 MRTD (Minimum Resolvable Temperature Difference) – ≤500mK@25°C,F#1.0 Temperature Range Measurements- -20°C ~ +450°C with ±2°C or ±2% reading accuracy Operating – -20°C ~ +50°C Temperature Correction – Manual/automatic Power Consumption – <350mW Dimensions – […]

RealTek RTD1325 SoC shows up in Formuler Z mini 4K Android 12 dongle

Realtek RTD1325 Android TV dongle

Formuler Z mini is a 4K Android 12 TV dongle powered by the new RealTek RTD1325 SoC with a Mali-G57 MC1, 4K AV1 video processing unit, and support for features such as Quick Media Switching (QMS) from the HDMI 2.1 specifications. The Android TV dongle also comes with 2GB LPDDR4 memory, 8GB eMMC flash, an HDMI 2.1 port up to 4K resolution, WiFi 5 and Bluetooth 5.0 connectivity, Widevine L1 DRM, and a Bluetooth voice remote control. Formuler Z mini specifications: SoC – RealTek RTD1325 CPU – TBD. Likely quad-core Cortex-A55 or Cortex-A53 GPU – Arm Mali-G57 MC1 VPU – 4Kp60 10-bit AV1 video decoder System Memory – 2GB LPDDR4 @ 2400MHz Storage – 8GB eMMC flash Video Output – HDMI 2.1 up to 4K resolution (3840 x 2160) with 4K HDR (HDR10+, HLG), QMS support Networking – WiFi 5 2×2 MIMO and Bluetooth 5.0 DRM – Widevine L1, L3 […]

2×2 Quad Display Board uses Raspberry Pi Pico W or ESP32-S3-WROOM-1 module to drive four displays (Crowdfunding)

Raspberry Pi Pico ESP32-S3 quad display board

SB Components’ 2×2 Quad Display Board is an MCU development board fitted with either a Raspberry Pi Pico W board or an ESP32-S3-WROOM-1 module used to drive four small color displays in square or round shapes. The board specifically features either four 1.54-inch square TFT displays or four 1.28-inch round displays, a microSD card, an RTC with coin-cell battery holder, and a USB-C port for power and programming, plus a few buttons. It may feel like it’s coming out of the but-why-because-we-can department, but the company expects it to be used for signage, interactive displays, art projects, portable devices, data loggers, education, and more. 2×2 Quad Display Board specifications: Main control (one or the other) Raspberry Pi Pico W MCU – Raspberry Pi RP2040 dual-core Cortex-M0+ microcontroller @ 133 MHz with 264KB SRAM Storage – 2MB QSPI flash Wireless – WiFi 4 and Bluetooth LE 5.2 USB – 1x Micro […]

ADLINK MXA-200 5G IIoT gateway ships with Debian or Yocto Linux

ADLINK MXA-200 5G industrial gateway

ADLINK MXA-200 is an NXP i.MX8M Plus-based 5G IIoT gateway running Debian or a Yocto-based Linux distribution with two RS-232/422/485 isolated serial ports, two gigabit Ethernet ports, two USB 3.0 port, and an operating temperature range of -20 to 70°C. The fanless gateway also features two M.2 slots for integrating Wi-Fi and/or 4G LTE or 5G modules, and ADLINK expected the MXA-200 to find its way into renewable energy applications, EV chargers, smart city and smart factory applications that require big data collection, cloud-based applications, and video related monitoring solutions. ADLINK MXA-200 specifications: SoC – NXP i.MX8M Plus CPU – Quad-core Arm Cortex-A53 processor @ 1.6/1.8GHz MCU – Arm Cortex-M7 real-time core @ 400 MHz GPU – Vivante GC520L 2D GPU, Vivante GC7000UL 3D GPU VPU – 1080p60 hardware decoder (HEVC, H.264, VP9, and VP8) and encode (H.265/H.264) AI accelerator – 2.3 TOPS NPU System Memory – 2GB or 4GB […]

TwoTrees SK1 review – A CoreXY 3D printer with high printing speeds

Two Trees SK1 3D Printer Review

TwoTrees SK1 is an FDM 3D printer with a working area of 256 x 256 x 256 mm and a CoreXY system that can print 3 to 5 times faster than a typical 3D printer. The movements of a CoreXY 3D printer are achieved by moving two motors simultaneously. The TwoTrees SK1 CoreXY 3D printer can print at a maximum speed of 700 mm/s and features automatic Z-Tilt base leveling with a 36-point mesh bed. The print head uses a dual-gear direct extruder to feed the filament directly to the nozzle and the nozzle supports up to 300 degrees Celsius. The printer also comes preloaded with the popular Klipper firmware. TwoTrees SK1 specifications Printing size – 256 x 256 x 256 mm Dimensions – 400 x 400 x 530 mm Printing speed – Up to 700mm/s Acceleration – Up to 20,000 mm/s2 Nozzle temperature – Up to 300ºC Guide rail […]

Testing AI and LLM on Rockchip RK3588 using Mixtile Blade 3 SBC with 32GB RAM

mixtile blade 3 review RK3588 AI LLM

We were interested in testing artificial intelligence (AI) and specifically large language models (LLM) on Rockchip RK3588 to see how the GPU and NPU could be leveraged to accelerate those and what kind of performance to expect. We had read that LLMs may be computing and memory-intensive, so we looked for a Rockchip RK3588 SBC with 32GB of RAM, and Mixtile – a company that develops hardware solutions for various applications including IoT, AI, and industrial gateways – kindly offered us a sample of their Mixtile Blade 3 pico-ITX SBC with 32 GB of RAM for this purpose. While the review focuses on using the RKNPU2 SDK with computer vision samples running on the 6 TOPS NPU, and a GPU-accelerated LLM test (since the NPU implementation is not ready yet), we also went through an unboxing to check out the hardware and a quick guide showing how to get started […]

Memfault IoT and embedded debugging platform