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June 21, 2021 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Olimex STM32MP1 SoM and evaluation board support Linux 5.10

Olimex has just announced the availability of an STMicro STM32MP1 Cortex-A7/M4 powered system-on-module (SoM) and an evaluator board with respectively STMP15X-SOM available in extended and industrial temperature variants, as well as STMP1(A13)-EVB evaluation board that works with the new STM32MP1 module, as well as earlier A13-SOM Allwinner A13 based system-on-module. Beyond the hardware, the company told us their upcoming STMP1-OLinuXino-LIME2 SBC could support mainline Linux in February, and the company prepared some Linux 5.10 based Debian Buster and Ubuntu Focal images which are now also available for the STMP15X-SOM module. STMP15X-SOM system-on-module Specifications: SoC – STMicro STM32MP151/153/157 dual-core Cortex-A7 @ 650 to 800MHz and Arn Cortex-M4 real-time core @ 209 MHz System Memory – 256 or 512 MB DDR3L Storage – MicroSD card socket Audio – On-module audio codec Board-to-board connectors GPIO-1 40-pin connector with 39 GPIOs, 3x UARTs, 1x QuadSPI, 2x I2C, 2x eMMC GPIO-2 10-pin connector with USB […]

June 10, 2021 by Jean-Luc Aufranc (CNXSoft) - 17 Comments

ClearFog CN9130 networking boards deliver 10GbE through a tiny Octeon TX2 module

SolidRun has designed and manufactured ClearFog networking boards ever since the introduction of the Marvell ARMADA 380/388-based ClearFog Pro in 2015. Since then, more powerful models have been launched including the ClearFog GT 8K based on Marvell ARMADA A8040 quad-core Cortex A72 processor with support for 2.5GbE and 10GbE, and the ClearFog CX LX2K equipped with a 16-core Cortex-A72 NXP capable of 100GbE networking. The Israeli company unveiled its first Octeon TX2-based design last fall with ClearFog CX CN9K, a full-featured networking SBC fitted with CEx7 CN9132 COM Express Type 7 module. But now the company has launched the more compact ClearFog CN9130 Pro/Base networking boards equipped with a tiny 50x30mm Octeon TX2 module still enabling 10GbE connectivity. SolidRun SOM 9130 system-on-module Specifications: SoC – Marvell OCTEON TX2 CN9130 quad-core Cortex A72 processor @ up to 2.2 GHz (commercial) or 2.0 GHz (industrial) System Memory – Up to 8GB DDR4 […]

June 5, 2021 by Jean-Luc Aufranc (CNXSoft) - 18 Comments

3D printer board leverages Allwinner A64’s AR100 core for real-time control

Elias Bakken has been working on Recore 3D printer control board based on Allwinner A64 processor since 2019 and with revision “A5” of the PCB, Recore is now considered stable and will ship to customers. But wait? Isn’t Allwinner A64 just a quad-core Cortex-A53 processor meant to run Linux? But 3D printer control boards require real-time I/O and that’s why many are designed with STM32, Arduino compatible Microchip MCU or other microcontrollers. The trick here is that Elias did not use the Cortex-A53 cores for real-time control, but instead the 300 MHz AR100 32-bit OpenRISC 1000 core found in Allwinner A64 SoC. Recore specifications: SoC – Allwinner A64 quad-core Cortex-A53 processor running at 1 GHz, with AR100 32-bit core @ 300 MHz, Mali-400MP2 GPU System Memory – 1 GB DDR3 RAM Storage – 8 GB eMMC flash Video Output – HDMI output to connect a display Networking – Gigabit Ethernet […]

May 30, 2021January 17, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

MyCobot robotic arm is offered with Raspberry Pi 4 or M5Stack ESP32 modules

Elephant Robotics’ MyCobot robotic arm was introduced last year with M5Stack Atom & Basic ESP32 modules with 6-degrees of freedom, a 250 grams max payload, available now for $599. The company has launched a new $699 version – MyCobot-Pi – with most of the same features, except for an upgrade to Raspberry Pi 4B which offers more performance and flexibility. Both versions of MyCobot arm robotic arm support accessories such as a gripper and a suction pump attachable through a LEGO connector, but while the original version – MyCobot-M5 – relies on Arduino programming, the new MyCobot-Pi runs Debian/Ubuntu and ROS operating systems with image recognition algorithms that can work with a variety of cameras. Since we’ve missed last year’s announcement, we’ll cover both models in this article. MyCobot Robotic Arm Despite the mechanical parts being the same, the specifications for MyCobot-M5 and MyCobot-Pi differ quite a lot: Controller MyCobot-M5 […]

May 28, 2021May 28, 2021 by Jean-Luc Aufranc (CNXSoft) - 19 Comments

Banana Pi BPI-M2 Pro compact Amlogic S905X3 SBC launched for $61

Banana Pi has already designed an Amlogic S905X3 SBC with Banana Pi BPI-M5 that closely follows Raspberry Pi 3 Model B form factor, but they’ve now launched a more compact model with Banana Pi BPI-M2 Pro that follow the design of the company’ earlier BPI-M2+ SBC powered by the good old Allwinner H3 processor. BPI-M2 Pro comes with 2GB RAM, 16GB eMMC storage, HDMI video output, Gigabit Ethernet, Wifi & Bluetooth connectivity, as well as two USB 3.0 ports. Banana Pi BPI-M2 Pro specifications: SoC – Amlogic S905X3 quad-core Cortex A55 @ up to 2.0 GHz with an Arm Mali-G31 GPU System Memory – 2GB LPDDR4 Storage – 16GB eMMC flash, microSD card slot Video & Audio Output – HDMI 2.1 up to 4Kp60 with HDR, CEC, EDID support Connectivity Gigabit Ethernet Dual-band 802.11 b/g/n/ac WiFi 5 1×1 and Bluetooth 4.2 via Realtek RTL8821CU module USB – 2x USB 3.0 […]

May 20, 2021May 21, 2021 by Jean-Luc Aufranc (CNXSoft) - 49 Comments

Nezha RISC-V Linux SBC launched for $99 and up

Last month, we wrote about Allwinner D1 SBC & processor that promised to offer a relatively low-cost RISC-V Linux solution. We were not given a name at the time, but there was a logo of Nezha, a fictional character from Chinese literature. The board is now known as the Nezha SBC and has been launched on Indiegogo for $99 and up as a board designed for IoT projects running Linux, but can also be purchased directly on Aliexpress for the same price. [Update: It can also be purchased on Taobao for 599 RMB] Nezha SBC specifications: SoC – Allwinner D1 single-core XuanTie C906 64-bit RISC-V processor @ 1.0 GHz with HiFi4 DSP, G2D 2D graphics accelerators Memory – 1GB DDR3 memory Storage – 256MB SPI NAND flash, MicroSD card slot Video Output – HDMI 1.4 port up to 4Kp30, MIPI DSI & touch panel interface up to 1080p60 Decoding – […]

May 11, 2021September 16, 2021 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

SolidRun HoneyComb LX2K becomes a certified Arm SystemReady ES platform

SolidRun HoneyComb LX2K is part of our list of the 5 most powerful Arm SBC’s in 2021. The mini-ITX board features an NXP LX2160A 16-core Arm Cortex-A72 processor, supports up to 64GB RAM, offers high-speed networking thanks to up to 4x SFP+ 10GbE cages and a Gigabit Ethernet port, as well as four SATA ports, a PCIe x8 slot, M.2 SSD slot and more. The board is ideal for networking applications and can be also be integrated into an Arm workstation for native application development. But just last month, we noted that while SolidRun talked about SBSA compliance a while ago, the status was unclear. The good news is that HoneyComb LX2K has just now become a certified Arm SystemReady ES (Embedded Server) compliant platform. Arm SystemReady is a set of standards and a compliance certification program that ensures systems just work with generic, off-the-shelf operating systems straight out of […]

May 5, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Imago “VisionAI” Smart AI Camera supports Tensorflow Lite & AutoML Vision Edge

Imago Technologies GmbH “VisionAI” is a programmable Smart AI camera that combines a quad-core Cortex-A53 processor @ 1.8 GHz together with Google Edge TPU, and designed for embedded image processing applications in the fields of AI, Deep Learning, and Machine Learning. The smart camera supports TensorFlow Lite and AutoML Vision Edge frameworks, and is suited for tasks such as pattern recognition, classification, anomaly or defect detection in inspection applications, code reading, and other machine vision applications. Imago VisionAI (VisionSensor PV3 AI) camera specifications: SoC – Unnamed quad-core Arm Cortex-A53 processor @ 1.8 GHz (likely NXP i.MX 8M Mini) AI Accelerator – Google Edge TPU with up to 4 TOPS of AI processing power System Memory – 2 GB DDR4 RAM Storage – MicroSD card up to 32GB Connectivity – Gigabit Ethernet M12 connector Camera 1/1.8” 5MP mono or color CMOS sensor with 2560 × 1936 pixels resolution, up to 65 […]