smarc News - CNX Software - Embedded Systems News

April 17, 2024April 17, 2024 by Tomisin Olujinmi - No Comments

congatec conga-SA8 Amston Lake SMARC modules are targeted at industrial edge applications

Congatec’s new conga-SA8 SMARC modules are powered by the Intel Atom x7000RE “Amston Lake” processors. With twice the processing cores and similar power consumption to the previous generation, congatec’s new credit-card-sized modules are “intended for future-facing industrial edge computing and powerful virtualization.” An Intel Core i3‑N305 Alder Lake-N processor is also offered as an alternative to the Intel Atom x7000RE series for high-performance IoT edge applications. The conga-SA8 modules support up to 16GB LPDDR5 onboard memory, 256GB eMMC 5.1 onboard flash memory, and offer several high-bandwidth interfaces such as USB 3.2 Gen 2, PCIe Gen 3, and SATA Gen 3. The integrated Intel UHD Gen 12 graphics processing unit has up to 32 execution units and can power three independent 4K displays. The conga-SA8 is described as virtualization-ready and has a hypervisor (virtual machine monitor) integrated into the firmware. The RTS hypervisor takes complete advantage of the eight processing cores […]

April 12, 2024April 13, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

ADLINK unveils Intel Atom x7000RE & x7000C Amston Lake COM Express and SMARC 2.1 modules

ADLINK has released two Intel Atom X7000RE & x7000C Amston Lake-powered modules with the cExpress-ASL COM Express Type 6 Compact module and the LEC-ASL SMARC 2.1 system-on-module both offered with up to 16GB LPDDR5 soldered-down memory and 2.5GbE networking. The modules are designed for high-performance, low-power, and ruggedized edge solutions running 24/7, and with support for Intel TCC and Time Sensitive Networking (TSN), the modules are also suitable for hard-real-time computing workloads required by use cases such as industrial automation, AI robots, smart retail, transportation, network communication, and more. Intel Atom x7000RE and x7000C Amston Lake processors The announcement came as a surprise because I had never heard about Intel Amston Lake processors so far. It might be because they were just announced and all seven SKUs are embedded parts with two to eight cores, and as a result, they may not quite get as much coverage as consumer processors. […]

October 10, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

SECO Modular Vision HMI displays support Arm and x86 SMARC 2.1 modules

SECO has unveiled a new HMI family of smart displays called the “Modular Vision” with NXP i.MX 93 (Arm), NXP i.MX 8M (Arm), or Intel Elkhart Lake (x86) powered SMARC 2.1-compliant system-on-modules and a display size ranging from 7-inch up to 15.6-inch. The goal is to offer a flexible platform to customers who can select various display sizes (7-inch, 10.1-inch, or 15.6-inch currently) and a SMARC module that closely matches the product’s requirements for example for a standalone panel PC. SECO Modular Vision key features and specifications: SoC 7-inch model – NXP i.MX93 single or dual-core Arm Cortex-A55 @ 1.7 GHz, Arm Cortex-M33 @ 250MHz, Arm Ethos U-65 microNPU 10.1-inch model – NXP i.MX 8M Plus dual or quad-core Arm Cortex-A53 @ 1.8 GHz, Arm Cortex-M7 @ 800MHz, optional GPU/VPU/2.3 TOPS NPU 15.6-inch model – Intel Atom x6000E, Pentium, and Celeron N and J Series “Elkhart Lake” CPUs with Intel […]

October 3, 2023October 2, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Renesas RZ/G2L and RZ/V2L SMARC 2.1 system-on-modules target HMI and Edge AI applications

SMARC 2.1 Evaluation Kit for Renesas RZ/G2L and RZ/V2L

ARIES Embedded has recently launched two SMARC-compliant MRZG2LS and MRZV2LS system-on-modules (SoM) powered by respectively a Renesas RZ/G2L dual-core Cortex-A55/M33 microprocessor with Arm Mali-G31 GPU and H.264 video codec (H.264) and a similar Renesas RZ/V2L MPU adding a built-in ‘DRP-AI’ AI accelerator for vision applications. Those are the first SMARC modules from the company and they are well-suited for applications such as entry-class industrial human machine interfaces (HMIs), embedded vision, edge artificial intelligence (edge-AI), real-time control, industrial Ethernet connectivity, and embedded devices with video capabilities. ARIES Embedded MRZG2LS and MRZV2LS key features and specifications: SoC – Renesas RZ/G2L or GZ-V2L with Application CPU – Single or dual Arm Cortex-A55 up to 1.2GHz Real-time core -Arm Cortex-M33 GPU – Arm Mali-G31 VPU – H.264 codec AI accelerator – DRP-AI on Renesas RZ/V2l only (MRZV2L SoM) System Memory – 512MB to 4GB DDR4 RAM Storage – SPI NOR flash, 4GB to 64GB […]

July 28, 2023August 2, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Tungsten700 SMARC SoM and devkit features MediaTek Genio 700 AIoT processor

Laird Connectivity Tungsten700 SOM is a SMARC system-on-module powered by a MediaTek Genio 700 Arm Cortex-A78/A55 AIoT processor with up to 8GB LPDDR4, 16GB eMMC flash, and a Sona MT320 Wi-Fi 6/Bluetooth 5.3 module based on the Filogic 320 chipset. The board was designed by Boundary Devices, recently acquired by Laird, and is offered with a SMARC 2.1 carrier board that can be used for development or as a single board computer integrated into designs. Tungsten700 SMARC module Tungsten700 specifications: SoC – MediaTek Genio 700 (MT8390) CPU – Octa-core processor with 2x Arm Cortex-A78 cores @ up to 2.2 GHz, 6x Arm Cortex-A55 cores @ up to 2.0 GHz GPU – ARM Mali-G57 MC3 GPU VPU as in “Video Processing Unit” Encode up to 4Kp30 HEVC/H.264 Decode up to 4Kp75 HEVC/H.264/AV1/VP9 VPU as in “Vision Processing Unit” – Tensilica VP6 Vision Processing Unit ISP Single Camera: 32MP @ 30FPS Dual […]

June 17, 2023June 17, 2023 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

i-Pi SMARC 1200 (MediaTek Genio 1200) devkit tested with a Yocto Linux image

i-Pi SMARC 1200 Yocto Linux glmark2 benchmark

Last weekend I received ADLINK’s i-Pi SMARC 1200 development kit powered by MediaTek Genio 1200 Octa-core Cortex-A78/A55 AIoT processor, checked out the hardware and wanted to install the Yocto Linux image but stopped in my tracks because it looked like I had to install Ubuntu 18.04 first in a Virtual Machine or another computer. But finally, the documentation has been updated to clarify “Ubuntu 18.04 or greater” is required, and I had no problem flashing the image from a Ubuntu 22.04 laptop after installing dependencies and tools as follows:

$ sudo apt install android-tools-adb android-tools-fastboot
$ echo 'SUBSYSTEM=="usb", ATTR{idVendor}=="0e8d", ATTR{idProduct}=="201c", MODE="0660", $ GROUP="plugdev"' | sudo tee -a /etc/udev/rules.d/96-rity.rules
$ echo -n 'SUBSYSTEM=="usb", ATTR{idVendor}=="0e8d", ATTR{idProduct}=="201c", MODE="0660", TAG+="uaccess"
SUBSYSTEM=="usb", ATTR{idVendor}=="0e8d", ATTR{idProduct}=="0003", MODE="0660", TAG+="uaccess"
SUBSYSTEM=="usb", ATTR{idVendor}=="0403", MODE="0660", TAG+="uaccess" SUBSYSTEM=="gpio", MODE="0660",
TAG+="uaccess" ' | sudo tee /etc/udev/rules.d/72-aiot.rules
$ sudo udevadm control --reload-rules
$ sudo udevadm trigger
$ sudo usermod -a -G plugdev $USER
$ pip3 install -U -e "git+https://gitlab.com/mediatek/aiot/bsp/aiot-tools.git#egg=aiot-tools"

$ sudo apt install android-tools-adb android-tools-fastboot

$ echo 'SUBSYSTEM=="usb", ATTR{idVendor}=="0e8d", ATTR{idProduct}=="201c", MODE="0660", $ GROUP="plugdev"' | sudo tee -a /etc/udev/rules.d/96-rity.rules

$ echo -n 'SUBSYSTEM=="usb", ATTR{idVendor}=="0e8d", ATTR{idProduct}=="201c", MODE="0660", TAG+="uaccess"

SUBSYSTEM=="usb", ATTR{idVendor}=="0e8d", ATTR{idProduct}=="0003", MODE="0660", TAG+="uaccess"

SUBSYSTEM=="usb", ATTR{idVendor}=="0403", MODE="0660", TAG+="uaccess" SUBSYSTEM=="gpio", MODE="0660",

TAG+="uaccess" ' | sudo tee /etc/udev/rules.d/72-aiot.rules

$ sudo udevadm control --reload-rules

$ sudo udevadm trigger

$ sudo usermod -a -G plugdev $USER

$ pip3 install -U -e "git+https://gitlab.com/mediatek/aiot/bsp/aiot-tools.git#egg=aiot-tools"

That’s it for the tools. Eventually, the development kit will support three images: Yocto Linux, Android 13 (July 2023), and Ubuntu 20.04 (Q3 2023). So that means only the Yocto Linux image is available from the download page at this time, and that’s what I’ll be using today. We’ll need to connect the micro USB to USB cable between the […]

May 8, 2023May 8, 2023 by Jean-Luc Aufranc (CNXSoft) - 13 Comments

MediaTek Genio 1200 system-on-module powers Cortex-A78/A55 AIoT & robotics development kit

ADLINK Technology’s SMARC 2.1 compliant LEC-MTK-I12000 system-on-module (SoM) features the MediaTek Genio 1200 octa-core Cortex-A78/A55 AIoT processor coupled with up to 8GB RAM and 256GB UFS storage, and powers the I-Pi SMARC 1200 development kit designed for robotics and AIoT applications. LEC-MTK-I1200 MediaTek Genio 1200 system-on-module LEC-MTK-I1200 SoM specifications: SoC – MediaTek Genio 1200 (MT8395) octa-core processor with 4x Cortex-A78 cores @ 2.2GHz, 4x Cortex-A55 cores @ 2.0GHz with penta-core Arm Mali-G57 GPU @ 880MHz with support for OpenGL ES 3.2/2.0/1.1, Vulkan 1.1/1.0, OpenCL 2.2, 5.0 TOPS NPU, HiFi 4 audio DSP, etc… System Memory – 4 or 8 GB LPDDR4X Storage – 32, 64, 128, or 256 GB UFS storage, compatible with UFS gear 2.1 Wireless – 802.11b/g/n/ac WiFi 5 2×2 MU-MIMO, Bluetooth 5.0 314-pin MXM connector with Storage – 1x SDIO (4-bit) compatible with SD/SDIO standard, up to version 3.0 Display HDMI 2.0b up to 4Kp60 Dual-channel LVDS […]

March 28, 2023 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

conga-STDA4 SMARC 2.1 module features TI TDA4VM/DRA829J Jacinto 7 processor

conga-STDA4 SMARC Module TI Jacinto 7 TDA4VM DRA829J

congatec conga-STDA4 is a SMARC Computer-on-Module (CoM) based on Texas Instruments TDA4VM or DRA829J Jacinto 7 processor with two Cortex-A72 cores, six real-time Cortex-R5 cores for functional safety, accelerated vision and AI processing capabilities, and plenty of interfaces. The first Texas Instruments-powered CoM from the company is designed for industrial mobile machinery requiring near-field analytics, such as automated guided vehicles and autonomous mobile robots, construction and agricultural machinery, as well as any industrial or medical solutions requiring energy-efficient computer vision at the edge. conga-STDA4 specifications: SoC – Texas Instruments Jacinto 7 TDA4VM/DRA829J with Dual-core Arm Cortex-A72 up to 2.0 GHz 6x Arm Cortex-R5F cores @ 1.0 GHz up to 8 MB of on-chip L3 RAM 1x C7x DSP up to 80 GFLOPs 2x C66 DSPs up to 40 GFLOPs Up to 8 TOPS MMA AI accelerator PowerVR Rogue 8XE GE8430 3D GPU with support for OpenGL ES 3.1, OpenVX, OpenCL […]