Last year, SolidRun introduced ClearFog CX LX2X networking single board computer offering up to 100GbE via NXP LX2160A 16-core Cortex-A72 communication processor that followed ClearFog CX 8K ARMADA 8040 networking board launched the year before. The Israeli company is now working on two ClearFog CX CN9K networking SBC’s powered by CEx7 CN913x system-on-module featuring Marvell Octeon TX2 CN913x quad-core Cortex-A72 processor and offering multi-gigabit Ethernet with various 10Gbps, 5Gbps, and Gigabit Ethernet ports. ClearFog CN9132 Pro The higher-end version of the ClearFog CX CN9K boards is ClearFog CN9132 Pro with the following specifications: CEx7 CN9132 COM Express Type 7 module SoC – Marvell OCTEON TX2 CN9132 quad-core Arm Cortex A72 up to 2.2 GHz (Industrial temperature up to 2.0 GHz) System Memory – Up to 16GB SO-DIMM DDR4 up to2400MT/s (not included by default) Storage – Up to 32 GB eMMC flash, SPI NOR flash COM Express Type 7 board-to-board connectors with Storage – 2x SATA (Gen III) Networking – […]
Since the launch of the Intel Elkhart Lake IoT Edge processor family, we’ve covered several COM Express modules based on the new low power SoCs including TQ Embedded TQMxE40C1/C2 and Congatec conga-MA7 & conga-TCA7. But despite the processor supporting 2.5GbE, all the computers-on-module we’ve covered so far would only offer Gigabit Ethernet connectivity. But Eurotech CPU-161-19 and CPU-161-20 COM Express Compact Type 6 modules support up to three 2.5 Gbps Ethernet interfaces using COM Express with proprietary expansions, and CPU-161-20 is the first module we’ve seen taking advantage of Intel Atom x6000FE parts with Functional Safety (FuSa) support making the module certifiable with SIL2 Safety Integrity Level (IEC 61508-2:2010) and/or Cat 3 PL=d (ISO 13849-1). As we may infer from the photos above and below, both modules share many of the same features, except for the added functional safety on CPU-161-20. CPU-161-19/20 specifications: SoC CPU-161-19 module Atom x6212RE dual-core processor @ 1.20GHz with 16EU 11th gen Intel UHD graphics @ 250 […]
CNXSoft: This is a guest post by Promwad that explains the basic steps to develop a video conferencing app with Gstreamer on TV boxes running Linux. The COVID-19 pandemic has become a catalyst for new online services. For example, Zoom became so successful that it overtook IBM in terms of capitalization this month. The software engineers at Promwad were inspired by this success and decided to go even further: what about implementing video conferencing on Smart TV and STBs? Then the users of such an application will have an opportunity to communicate not only at work but also to enjoy remote meetings with friends, cheer for a soccer team, watch a movie together, or do sports with a coach. For some reason, most digital TV operators do not have such a service, although, from an engineering point of view, all these features can be implemented on set-top boxes based on Linux/Android and RDK. Let’s analyze the architecture of a Zoom-like […]
Can you remember Turing Pi mini-ITX cluster board taking up to 7 Raspberry Pi Compute Modules launched last year? Honestly, I had forgotten about it until I was asked this morning is Gumstix CM4 to CM3 adapter could be used to replace Compute Modules 3 with Compute Modules 4 in the cluster board. When I went to Turing Pi website to have a look at the board, I discovered the company had made an announcement about Turing Pi 2 cluster board specifically designed to take up to four Raspberry Pi CM4 modules. We only have the layout for the cluster board because it’s still under development. Since board-to-board connectors – as found in Raspberry Pi Computer Module 4 – are not ideal for density, the company went with a design including 260-pin SO-DIMM connectors plus CM4 adapter boards. But more on that a little later. Turing Pi 2 preliminary specifications: SoM interface – 4x 260-pin SO-DIMM slot for up to […]
Raspberry Pi Trading has just launched 32 different models of Raspberry Pi CM4 and CM4Lite systems-on-module, as well as the “IO board” carrier board. But the company has also worked with third-parties, and Gumstix, an Altium company, has unveiled four different carrier boards for the Raspberry Pi Compute Module 4, as well as a convenient CM4 to CM3 adapter board that enables the use of Raspberry Pi CM4 on all/most carrier boards for the Compute Module 3/3+. Raspberry Pi CM4 Uprev & UprevAI CM3 adapter board Gumstix Raspberry Pi CM4 Uprev follows the Raspberry Pi Compute Module 3 form factor but includes two Hirose connectors for Computer Module 4. The signals are simply routed from the Hirose connectors to the 200-pin SODIMM edge connector used with CM3. Gumstix Raspberry Pi CM4 Uprev is the same except it adds a Google Coral accelerator module. Gumstix Raspberry Pi CM4 Development Board Specifications: 2x stacking board DF40-series connector for Raspberry Pi Compute Module […]
Google Coral SBC was the first development board with Google Edge TPU. The AI accelerator was combined with an NXP i.MX 8M quad-core Arm Cortex-A53 processor and 1GB RAM to provide an all-in-all AI edge computing platform. It launched for $175, and now still retails for $160 which may not be affordable to students and hobbyists. Google announced a new model called Coral Dev Board Mini last January, and the good news is that the board is now available for pre-order for just under $100 on Seeed Studio with shipping scheduled to start by the end of the month. Coral Dev Board Mini specifications haven’t changed much since the original announcement, but we know a few more details: SoC – MediaTek MT8167S quad-core Arm Cortex-A35 processor @ 1.3 GHz with Imagination PowerVR GE8300 GPU AI/ML accelerator – Google Edge TPU coprocessor with up to 4 TOPS as part of Coral Accelerator Module System Memory – 2GB LPDDR3 RAM Storage – […]
Pine64 has been a busy company/community with the launch of Linux powered Arm development boards, PinePhone smartphone, PineTab tablet, and Pinebook Pro laptop in the last two years. They also had other smaller projects that got fewer resources due to the launch of the aforementioned products and COVID-19 induced delays, and one of those is PineCube open-source IP camera development kit that finally launched for $29.99 plus shipping. PineCube hardware specifications: SoC – Allwinner/Sochip S3 Arm Cortex-A7 processor @ 800MHz with 128MB in-package DDR3 RAM Storage – 128Mbit SPI Nor Flash and MicroSD slot, both bootable Camera – 5MP OV5640 sensor Audio – Built-in microphone, speaker Display – Optional 4.5-inch RGB LCD screen ( Networking – 10/100M Ethernet with passive PoE and WiFi USB – USB 2.0 Type-A host port Expansion – 26-pin GPIO header Misc – Volume and home buttons Power Supply 5V/1A via micro USB port or GPIO pin 8V-24V passive PoE Optional 950-1,600 mAh 3.7V 903048 lithium […]
Earlier this year, we covered some video analytics solutions based on AAEON UP Xtreme Edge embedded computer combining an Intel Whiskey Lake processor with Intel Movidius Myriad X AI accelerator modules, as well as video management & analytics software solutions from Milestones & SAIMOS, or aotu.ai BrainFrame. iWave Systems has now introduced a similar solution with Corazon-AI gateway capable of handling up to 8 IP cameras in real-time, but instead of relying on AI accelerators, the company leverages Xilinx Zynq Ultrascale+ Arm Cortex-A53/R5 FPGA MPSoC for AI inference. Corazon-AI gateway specifications: SoC – Xilinz Zynq Ultrascale+ ZU2, ZU3, ZU4 or ZU5 MPSoC Processing System (PS) Quad/Dual Arm Cortex-A53 @ 1.5GHz, dual Cortex-R5 @ 600MHz Arm Mali-400MP2 GPU @ 677MHz H.264/H.265 Video Encoder/Decoder Programming Logic (PL) Up to 256K Logic cells PL GTH Transceivers x 4 @ 12.5 Gbps System Memory 64bit, 2GB DDR4 with ECC for PS (upgradable) 32bit, 1GB DDR4 for PL (upgradable) Storage – 8GB eMMC Flash (upgradable), […]
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