It’s been a long time since I’ve written about a Windows CE (WinCE) compatible module, but apparently, those are still being developed with China-based UNERON offering eSOM335x Windows CE system-on-module based on Texas Instruments AM335x Arm Cortex-A8 processor, and eSOM3735z Windows 10 module equipped with an Intel Atom Z3735G processor. What’s even more intriguing is that the company relies on replaceable & upgradable eMMC flash and RAM modules for the Arm SoM, and while the 1GB RAM is soldered on the Intel module, it’s still possible to upgrade the eMMC flash that way. We’ve seen eMMC modules on several single board computers in the past including ODROID-C4 or Renegade SBC, but I think it’s the first time I see this option on a system-on-module. UNERON eSOM335x AM335x system-on-module Specifications: SoC – Texas Instrumentx Sitara AM3358BZCZA100 Arm Cortex-A8 up to 1GHz with PowerVR SGX530 3D GPU (optional AM3359, AM3354, or AM3352) […]
Aetina DeviceEdge Mini Edge AI computers support NVIDIA Jetson SO-DIMM modules
NVIDIA Jetson modules offer a wide range of AI performance starting from the entry-level 492 GFLOPS Jetson Nano module up to the 32 TOPS Jetson AGX Xavier platform. That’s probably Aetina decided to offer its DeviceEdge Mini AI edge solution with either Jetson Xavier NX, Jetson Nano, or Jetson TX2 NX pin-compatible SO-DIMM modules designed for applications in smart transportation, factories, retail, healthcare, AIoT, robotics, etc… The three models M1, M2, and M3 can all take the Jetson modules listed above, and come in a very similar form factor with the following key features: Common features: Storage – 128GB M.2 NVMe SSD (default) Video Output – Micro HDMI 1.4 connector Networking – Gigabit Ethernet RJ45 port, optional WiFi/Bluetooth M.2 module USB – 1x USB Type-C OTG only port Expansion 1x M.2 2242 M-key socket fitted with NVMe SSD 1x M.2 2230 E-key socket for optional Wifi/BT function 1x DB15 male […]
TQ unveils i.MX 8M Plus LGA module and evaluation single board computer
We’ve seen plenty of systems-on-module based on NXP i.MX 8M Plus AI processor announced at Embedded World 2021 either with edge or board-to-board connectors. TQ TQMa8MPxL is a bit different as an i.MX 8M Plus LGA (Land Grid Array) system-on-module meant to be soldered on a carrier board. The company also took the occasion to unveil STKa8MPxL evaluation kit based on TQMa8MxML in single board computer format to demonstrate its new LGA module. TQMa8MPxL i.MX 8M Plus LGA module Specifications: SoC – NXP i.MX 8M Plus “Quad 8 ML/AI”, “Quad 6 Video”, or “Quad 4 Lite” processor with four Cortex-A53 cores, one Cortex-M7 core, Vivante GPU, video encoder/decoder, HiFi4 audio DSP, and 2.3 TOPS AI accelertor System Memory – Up to 4 GB LPDDR4 Storage – Up to 256 MB (MBytes)Quad SPI NOR flash, up to 256 GB eMMC flash, optional EEPROM up to 64 Kbit 362-pin LGA with Storage […]
CatsPi Industrial Lite RPi CM4 carrier board features GbE, RS485, Watchdog MCU
We’ve seen a fair deal of Raspberry Pi CM4 carrier boards, and here’s another one courtesy of QwaveSystems with CatsPi Industrial Lite board following Raspberry Pi SBC form factor/dimensions, and equipped with Gigabit Ethernet, RS485, USB ports, as well as a watchdog MCU among other interfaces and features. Contrary to what the name implies, CatsPi Industrial Lite only works with Raspberry Pi CM4 with eMMC flash, but not the CM4 Lite module since there’s no MicroSD card on the baseboard. It’s not the first Raspberry Pi Compute Module 4 carrier board with RS485, however, as we previously covered CM Hunter also including CAN and 1-wire interfaces, but QwaveSystems’ solution is more compact and mostly mechanically compatible with Raspberry Pi model B SBC’s. CatsPi Industrial Lite board specifications: Compatible SoMs – Raspberry Pi CM4 with eMMC flash only Video Output – Micro HDMI port Connectivity – Gigabit Ethernet, optional 802.11b/g/n/ac WiFi […]
NEON-2000-JNX series AI Camera Features NVIDIA Jetson Xavier NX SOM for AIoT Applications
Machine vision applications highlight the complexity of implementation due to the requirement of interfacing several devices. These devices include image sensor modules, cables, GPU modules, and memory units, thus increasing the time for development and deployment. ADLINK’s NEON-2000-JNX series AI camera aims to simplify the deployment of edge machine vision and AIoT use cases. NEON-2000-JNX series AI camera comes with an inbuilt ADLINK’s new edge vision analytics software known as the EVA SDK. The software reduces the time in designing and creating proofs-of-concept, which leads to quicker deployment of applications. Users get a wide range of options for selecting field-ready “application plug-ins and ADLINK-optimized AI models”. This ensures the quality of vision AI and eases the building of use cases with lesser software code and programs. Additionally, the preview function allows quicker verification of AI Inference flow. We saw the launch of NVIDIA’s Jetson Xavier NX SOM in April 2020 […]
Antmicro ARVSOM offers StarFive JH71x0 RISC-V processor, Raspberry Pi CM4 compatibility
The Linux capable BeagleV SBC, now called “BeagleV Starlight”, was announced last January with a StarFive JH7100/JH7110 64-bit RISC-V processor, and developers and beta users have just started to get their hand on the board in recent days. But there’s another StarFive JH71x0 hardware in the works with Antmicro ARVSOM. The system-in-module will feature the dual-core RISC-V processor, and be compatible with Raspberry Pi CM4, and by extension Antmicro’s Scalenode server-oriented baseboard. The company did not provide the complete specifications for the module, but based on public information available, Antmicro ARVSOM should feature the following: SoC – StarFive JH7100 Vision SoC: RISC-V U74 dual-core with 2MB L2 cache @ 1.5 GHz Vision DSP Tensilica-VP6 for computing vision NVDLA Engine 1 core (configuration 2048 MACs @ 800MHz – 3.5 TOPS) Neural Network Engine (1024MACs @ 500MHz – 1 TOPS) VPU – H.264/H.265 decoder up to 4Kp60, dual-stream decoding up to 2Kp30 […]
Xilinx Introduces Kria K26 SoM and vision AI devkit based on Zynq Ultrascale+ XCK26 FPGA MPSoC
Silicon vendors will usually focus on chip design, and provide an expensive evaluation kit to early customers, leaving the design of cost-optimized boards and system-on-modules to embedded systems companies. But Xilinx has decided to enter the latter market with the Kria portfolio of adaptive system-on-modules (SOMs) and production-ready small form factor embedded boards starting with Kria K26 SoM powered by Zynq UltraScale+ XCK26 FPGA MPSoC with a quad-core Arm Cortex-A53 processor, up to 250 thousand logic cells, and a H.264/265 video codec designed for Edge AI applications, as well as computer vision development kit. Kria K26 System-on-Module Kria K26 module specifications: MPSoC – Xilinx Zynq Ultrascale+ custom-built XCK26 with quad-core Arm Cortex-A53 processor up to 1.5GHz, dual-core Arm Cortex-R5F real-time processor up to 600MHz, Mali-400 MP2 GPU up to 667MHz, 4Kp60 VPU, 26.6Mb On-Chip SRAM, 256K logic cells, 1,248 DSP slices System Memory – 4GB 64-bit DDR4 (non-ECC) Storage – […]
SGET OSM (Open Standard Module) compliant SoM features NXP i.MX 8M Mini SoC
The SGET (Standardization Group for Embedded Technologies) non-profit organization ratified another system-on-module standard last November, with the “Open Standard Module” (OSM) standard that instead of relying on edge or board-to-board connectors is meant to be soldered on the carrier board as a solder-on module LGA package. F&S Elektronik has unveiled one of the first SGET OSM compliant SoM with “FS 8MM OSM-SF” equipped with an NXP i.MX 8M Mini processor, up to 8GB DDR4, 32GB eMMC flash or 512MB NAND flash on a 30x30mm “Size-S OSM” form factor. FS 8MM OSM-SF system-on-module FS 8MM OSM-SF module specifications: SoC – NXP i.MX 8M Mini single, dual, or quad-core Arm Cortex-53 processor @ 1.8 GHz with real-time Cortex-M4 core @ 400 MHz, Vivante 2D & 3D GPU, 1080p60 H.265, VP9, H.264, VP8 video decoder System Memory – Up to 8GB LPDDR4 Storage – Up to max. 512MB SLC NAND flash or up […]