ASRock 4X4 BOX-5000 Series mini PC features AMD Zen 3 Ryzen 5000 U-Series processor

ASRock 4X4 BOX 5000U-series

ASRock Industrial has announced the 4X4 BOX-5000 Series Mini PCs powered by AMD Zen 3 Ryzen 5000 U-Series with three models, namely 4X4 BOX-5800U, 4X4 BOX-5600U, and 4X4 BOX-5400U, based on respectively Ryzen 7 5800U, Ryzen 5 5600U, and Ryzen 3 5400U processors. The mini PCs support up to four 4K display outputs, come with up to two Ethernet (2.5GbE + GbE) ports, Wi-Fi 6E connectivity, offers M.2 Key M SSD and SATA 3.0 storage, as well as five USB 3.2/2.0 ports for peripherals. ASRock Industrial 4X4 BOX-5000 Series specifications: SoC (one of the other) 4X4 BOX-5400U – AMD Ryzen 3 5400U quad-core/8-thread processor @ up to 2.6GHz / 4.0GHz (Turbo) with AMD Radeon Graphics; 15W TDP 4X4 BOX-5600U – AMD Ryzen 5 5600U hexa-core/12-thread processor @ up to 2.3GHz / 4.2GHz (Turbo) with AMD Radeon Graphics; 15W TDP 4X4 BOX-5800U – AMD Ryzen 7 5800U octa-core/16-thread processor @ up […]

Qualcomm Edge AI Vision kit combines Qualcomm QCS610 SoC & Sony IMX415 4K ultra low light camera

Qualcomm Edge AI Vision kit

e-con Systems has recently launched the qSmartAI80_CUQ610, a Qualcomm Edge AI vision kit based on Qualcomm QCS610 octa-core Cortex-A76/A55 processor and featuring a camera module based on Sony STARVIS IMX415 4K ultra low light sensor. The kit is comprised of a QCS610 module with 4GB RAM and 16GB eMMC flash and carrier board designed by VVDN Technologies, as well as e-con Systems 4K camera module, and designed to run vision machine learning and deep learning models at the edge. qSmartAI80_CUQ610 “Qualcomm Edge AI Vision kit” specifications: System-on-Module SoC – Qualcomm QCS610 octa-core processor with 2x Kryo 460 Gold cores @ 2.2 GHz (Cortex-A76 class), and 6x Kryo 430 Silver low-power cores @ 1.8GHz (Cortex-A55 class), Adreno 612 GPU @ 845 MHz, with OpenGL ES 3.2, Vulkan 1.1, OpenCL 2.0, Hexagon DSP with Hexagon Vector eXtensions (HVX),  Spectra 250L ISP, 4Kp30 VPU H.265 encode/decode; Note: Qualcomm QCS410 SoC is available upon […]

ArmSoM CM5 Raspberry Pi CM4 alternative with Rockchip RK3576 SoC

reComputer Jetson mini PCs feature Jetson Nano or Xavier NX modules

recomputer jetson mini pc

Seeed Studio’s reComputer Jetson series mini PCs are built around NVIDIA Jetson Nano or Xavier NX system-on-module and designed for Edge AI applications. Four models have been designed with the Jetson-10-1-A0 mini PC equipped with a carrier board of the same name and Jetson Nano module, while the Jetson A206 carrier board is integrated into Jetson-10-1-H0 also with Jetson Nano, as well as Jetson-20-1-H1 and Jetson-20-1-H2 based on Jetson Xavier NX with 8GB and 16GB RAM respectively. Jetson-10-1-A0 mini PC and carrier board Specifications: Jetson Nano SoM CPU – Quad-core Arm A57 processor @ 1.43 GHz GPU – Maxwell GPU with 128 CUDA cores System Memory  – 4 GB 64-bit LPDDR4 25.6 GB/s Storage – 16 GB eMMC 5.1 Flash Video Encode – 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) Video Decode – 4K @ 60 | 2x 4K @ 30 | 8x […]

Maple Eye ESP32-S3 board offers 2MP camera, microphone, and two LCD displays

Maple Eye ESP32-S3 camera displays

AnalogLamb Maple Eye ESP32-S3 is a WiFi and Bluetooth connected board based on ESP32-S3 dual-core Xtensa LX7 microcontroller and equipped with one 2MP camera, one microphone, and two LCD displays placed on each side of the board. Those features, plus 8MB of flash and an 8 MB Octal PSRAM, allow the board to make good use of ESP32-S3 AI instructions through the ESP-DL library found in ESP-WHO framework in order to speed up face detection and recognition algorithms, or for audio processing. Maple Eye ESP32-S3 specifications: Wireless module – ESP32-S3-WROOM-1 module with ESP32-S3 dual-core Xtensa LX7 processor @ up to 240 MHz integrating vector instructions  for AI acceleration, 512 KB SRAM, 8MB PSRAM & 8MB Octal SPI Flash Storage – MicroSD card interface Displays – 2x 1.3-inch TFT LCD displays, selectable by switch Camera – 2MP OV2640 camera Audio – Digital microphone for VAD (voice activity detection) & ASR (automatic […]

SolidRun launches 16-core LX2162A LX2-Lite SOM and ClearFog LX2-Lite development board

ClearFog LX2-Lite

SolidRun has launched the LX2-Lite SOM based on NXP Layerscape LX2-Lite SoC with up to 16 Arm Cortex-A72 cores, together with ClearFog LX2-Lite development platform equipped with two SFP28 cages up to 25Gbps each, two SFP+ cage up to 10Gbps each, and eight Gigabit Ethernet RJ45 ports for networking applications. With a footprint measuring just 58 x 48mm, or about 25% the size of a standard COM Express 7 module, the company claims the LX2-Lite Mini SOM, based on LX2162A, is the smallest 16-core SOM platform in the world, and the module and development board target high-performance SD-WAN, network security, and industrial control solutions. SolidRun LX2-Lite SOM Specifications: SoC (one of the other) NXP Layerscape LX2082A with 8x Cortex A72 cores @ 2.0 GHz NXP Layerscape LX2122A with 12x Cortex A72 cores @ 2.0 GHz NXP Layerscape LX2162A with 16x Cortex A72 cores @ 2.0 GHz System Memory – Up […]

Apcsilmic Dot 1 – A Windows 11 Arm mini PC powered by Snapdragon 7c SoC

Qualcomm Snapdragon 7c mini PC 4G LTE

Apcsilmic Dot 1 is an affordable Snapdragon 7c powered Windows 11 Arm Mini PC that offers an alternative to ECS LIVA Mini Box QC710 Desktop Snapdragon 7c developer kit with extra features and resources. The Dot 1 mini PC comes with up to 8GB RAM, up to 256GB storage, dual HDMI output, as well as optional 4G LTE connectivity. It’s also thinner and remains fanless. Apcsilmic Dot 1 Mini PC specifications: SoC – Qualcomm Snapdragon SC7180 (Snapdragon 7c) with octa-core Qualcomm Kryo 468 (2x Cortex-A76, 6x Cortex-A55) CPU @ up to 2.4 GHz, Adreno 618 GPU Memory & Storage options 4GB RAM + 64GB storage 6GB RAM + 128GB storage 8GB RAM + 256GB storage MicroSD card on all variants Video Output – 2x HDMI ports up to 2K resolution (2560×1440) Audio – 3.5mm MIC jack, 3.5mm stereo audio jack Networking 10/100M Ethernet Dual-band WiFi 5, Bluetooth 5.1 with SMA […]

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

MangoPi MQ Pro – A $20 RISC-V alternative to Raspberry Pi Zero W

MangoPi MQ Pro

MangoPi MQ Pro is an Allwinner D1 RISC-V SBC that offers an alternative to Raspberry Pi Zero W with the same form factor, and most of the same features including WiFi and Bluetooth connectivity The board has been in the works for several months, but the MangoPi MQ Pro board can now be purchased for around $20 on Taobao with 512MB RAM, and I’d expect it to show up on Aliexpress and/or Seeed Studio within the next few weeks. MangoPi MQ Pro specifications: SoC – Allwinner D1 C906 RISC-V processor @ up to 1GHz with HiFi4 DSP, G2D 2D graphics accelerator System Memory – 512MB or 1GB DDR3L Storage – MicroSD card socket Display – mini HDMI 1.4 port up to 1080p60 or 4Kp30, 20-pin MIPI DSI, CTP, LVDS FPC connector Camera I/F – 24-pin DVP/RGMII connector Audio – Audio out pads Networking 2.4Ghz 802.11b/g/n WiFi 4 and Bluetooth 4.2 […]

E Ink Kaleido 3 color e-paper display increases color saturation by 30 percent, reduces blue light reflections

E-Ink Kaleido 3

E Ink’s latest Kaleido 3 color ePaper display increases color saturation by 30 percent compared to the earlier Kaleido Plus color e-paper display, integrates E Ink ComfortGaze new front light technology engineered to reduce the amount of blue light reflected off the surface of the display, in order to provide further comfort while reading. The new modules based on Kaleido 3 will be offered in various panel sizes including 7.8-inch, 10.3-inch, and 13.3-inch, support up to 16 levels of grayscale and 4096 colors, and target eReaders and eNote devices. E Ink explains that Kaleido 3 relies on the company’s Print Color ePaper technology, “where a color filter array (CFA) is used in conjunction with E Ink’s Carta black and white ink film, creating a full-color device for a more fully realized eBook shopping and reading experience”.  As I understand it that part has not changed, and it’s just the same […]

Boardcon EM3562 Rockchip RK3562 SBC with 8 analog camera inputs