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July 4, 2023 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

LuckFox Core3566 – A Raspberry Pi Compute Module 4 alternative that sells for $24 and up

We’ve already seen Rockchip RK3566 system-on-modules that follow the Raspberry Pi Compute Module 4 with the likes of Pine64 SOQuartz and Radxa CM3. But there’s at least one more Raspberry Pi Compute Module 4 alternative based on the RK3566 SoC with the LuckFox Core3566 going for as little as $23.99. I found out about the new module after checking out the upcoming Orange Pi Compute Module 4 (another CM4 alternative based on RK3566), and the LuckFox Core3566 is offered with 2GB or 4GB RAM, an optional 32GB eMMC flash, and an optional WiFi 5 and Bluetooth 5.0 module. LuckFox Core3566 specifications: SoC – Rockchip RK3566 quad-core Cortex-A55 processor up to 1.8 GHz with a 32-bit RISC-V MCU, an Arm Mali-G52 GPU supporting OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, a 0.8 TOPS NPU for AI acceleration System Memory – 2GB to 4GB LPDDR4 Storage – Optional 32GB eMMC module Wireless module […]

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 […]

June 13, 2023June 14, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

NVIDIA Jetson AGX Orin Industrial offers ECC memory, extended temperature range, improved robustness

NVIDIA has recently introduced the Jetson AGX Orin Industrial module that comes with an extended temperature range, operating lifetime, shock and vibration specifications, as well as support for error correction code (ECC) memory, and delivers up to 248 TOPS of AI performance with power configurable between 15-75 W. The industrial-grade system-on-module is based on the Jetson AGX Orin 64GB module but with lower operating frequencies to enable a longer operating lifetime and improved endurance. It’s form-factor and pin-compatible with Jetson AGX Orin, and NVIDIA says it delivers more than eight times the AI performance of the 30 TOPS Jetson AGX Xavier Industrial introduced in 2021, but does not integrate Cortex-R5F cores. NVIDIA Jetson AGX Orin Industrial specifications: CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.0 GHz with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2,048 NVIDIA CUDA cores and 64 Tensor […]

June 13, 2023June 13, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

CompuLab UCM-iMX93 – A miniature NXP i.MX 93 module with WiFi 5 & Bluetooth 5.3

CompuLab UCM-iMX93 is a miniature system-on-module powered by the new NXP i.MX93 Cortex-A55 AI processor family with up to 2GB RAM and 64GB eMMC flash. The tiny 38x28mm features a Gigabit Ethernet PHY, a WiFi 5 and Bluetooth 5.3 wireless modules, and plenty of multimedia, communication, and peripheral interfaces through two 100-pin high-density connectors including display and camera interfaces, USB ports, CAN FD, and up to 79 GPIOs. UCM-iMX93 specifications: SoC – NXP i.MX9352 or i.MX9331 dual-core/single-core Arm Cortex-A55 @ 1.5 GHz (industrial) / 1.7 GHz (commercial) with Arm Cortex-M33 real-time core @ 250 MHz, Arm Ethos U65 microNPU System Memory – 512MB to 2GB LPDDR4 Storage – 8GB to 64GB eMMC flash Networking Gigabit Ethernet PHY Certified WiFi 5 (802.11ac) and Bluetooth 5.3 BLE module (NXP 88W8997) 2x 100-pin 0.4mm pitch high-density UCM connectors Display 4-lane MIPI-DSI up to 1920 x 1080 @ 60Hz 4-lane LVDS up to 1366 […]

June 12, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Tiny STM32MP135 system-on-module comes with up to 512MB RAM, 256MB NAND flash or 4GB eMMC flash

MYiR Technology’s MYC-YF13X is a system-on-module powered by the latest STMicro STM32MP135 cost-optimized Cortex-A7 microprocessor with 256MB or 512MB DDR3L, 256MB NAND Flash or 4GB eMMC flash, and 32Kbit EEPROM. The new MYC-YF13X has the same 39x37mm stamp-size form factor as the company’s earlier MYC-YA15XC-T CPU module based on the STM32MP15 Cortex-A7 processor, and a development board is also provided with LCD and camera interfaces, dual Gigabit Ethernet, RS485/RS232/CAN bus interfaces, and more. MYC-YF13X specifications: SoC – STMicro STM32MP135 (STM32MP135DAF7) single-core Cortex-A7 processor up to @ 1 GHz Two configurations for memory and storage 256MB DDR3L, 256MB NAND Flash, 32KB EEPROM or 512MB DDR3L, 4GB eMMC Flash, 32KB EEPROM 148-pin stamp hole expansion interface (1.0mm pitch) Display I/F – RGB Interface Camera – Parallel camera Audio – 4x I2S, 2x SAI Networking – 2x RGMII interface USB – 2x USB 2.0 Up to 8x UART Up to 5x I2C Up […]

June 1, 2023May 31, 2023 by Leo Zachary - 3 Comments

MangoPi mCore-R818 module powers CyberPad 3.1-inch handheld android “tablet”

mCore-R818 is the first time that MangoPi adopts the design combination of a core-lite module and a carrier board. As its name suggests, it is an AllWinner R818 SoM whose SoC integrates an Imagination PowerVR GE8300 GPU for UI rendering, can drive MIPI DSI, LVDS, and RGB displays, as well as cameras through a MIPI CSI interface, 8MP/5MP/2MP interfaces. The Allwinner R818 system-on-module powers a feature-rich carrier board as well as an upcoming Cyberpad Android “tablet” with a 3.1-inch display. MangoPi mCore-R818 The package design of the processor itself is small, so the MCore-R818 core board is only 3x3cm in size, but still contains four components with the Allwinner R818, the eMMC flash, LPDDR4 memory, and the AXP717 PMU. MangoPi provides two hardware configurations: 2GB DDR with 16GB eMMC flash, and 4GB DDR with 32GB eMMC flash. MCore-R818 Core Lite Specifications: SoC – Allwinner R818 CPU – Quad-core Arm Cortex-A53 […]

May 26, 2023May 26, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

SMARC 2.1 system-on-module is powered by an Intel Alder Lake-N Atom x7000E, Processor, or Core i3 processor

TQEmbedded TQMxE41S Alder Lake-N system-on-module

TQ-Embedded TQMxE41S is a SMARC 2.1 system-on-module (SoM) powered by an Intel Alder Lake-N Atom x7000E, Processor Nxxx, or Core i3 processor with a TDP ranging from 6W to 15W TDP, up to 16GB LPDDR5-4800 memory and up to 256GB industrial iNAND eMMC flash. The Alder Lake-N system-on-module exposes two 2.5 Gigabit Ethernet, four PCIe, USB 3.2, and SATA through its 314-pin edge connector as per SMARC 2.1, while the 12th generation Intel UHD Graphics in the SoC supports AVX256 and advanced AI instruction sets (VNNI) making it suitable for fast AI inferencing and media transcoding. The company expects the module to be integrated into applications in healthcare, IoT, industry/robotics, retail, and video & conferencing. TQEmbedded TQMxE41S specifications: Alder Lake-N SoC (one or the other) Intel Core i3-N305 – 8C/8T, (1.8 – 3.8 GHz); 6 MB Smart Cache, 15W TDP or 9W cTDP, 32 EU, Intel UHD Graphics (up to […]

May 25, 2023May 24, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

iW-RainboW-G55M is an OSM-LF compliant module based on TI AM62A Cortex-A53 processor

iWave Systems iW-RainboW-G55M is an OSM Size L compliant system-on-module based on Texas Instruments AM62A single to quad-core Cortex-A53 processor with up to 8GB RAM, 128GB eMMC flash, and a wireless module with WiFi 6, Bluetooth 5.2, and 802.15.4 radios. The iW-RainboW-G55M can leverage the vision processing and deep learning accelerator and the Arm Cortex-R5F real-time cores for control and device management found in the AM62A processor, as well as its display and camera interfaces, peripheral and networking options, to develop products for “man-machine applications at the edge”. iW-RainboW-G55M SoM specifications: SoC – Texas Instruments AM62A SoC (AM62A3, AM62A3-Q1, AM62A7, or AM62A7-Q1) Application processor – Up to four Arm Cortex- A53 cores @ 1.4GHz Real-time cores 1x Cortex-R5F @ 800MHz (MPU Channel with FFI) 1x Cortex-R5F @ 800MHz to support Device Management C7xV-256 Deep Learning Accelerator up to 2 TOPS System Memory – 2GB (default) to 8GB LPDDR4 RAM Storage […]