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Compulab CL-SOM-iMX8X SoM & SBC Feature NXP i.MX 8QuadXPlus Quad Core Cortex-A35 Processor

NXP i.MX 8X Cortex-A35 processor designed for automotive infotainment and a variety of industrial applications was officially announced in early 2017 with three parts: i.MX 8QuadXPlus with four Cortex-A35 cores, a Cortex-M4F core, a 4-shader GPU, a multi-format VPU and a HiFi 4 DSP i.MX 8DualXPlus with two Cortex-A35 cores, a Cortex-M4F core, a 4-shader GPU, a multi-format VPU and a HiFi 4 DSP i.MX 8DualX with two Cortex-A35 cores, a Cortex-M4F core, a 2-shader GPU, a multi-format VPU, and a HiFi 4 DSP In 2018, several companies unveiled i.MX 8X systems-on-module including Toradex Colibri iMX8X and Phytech phyCORE-i.MX 8X, and the processor was launched at the end of that year. There’s now another option with Compulab introducing CL-SOM-iMX8X module powered by NXP i.MX 8QuadXPlus processor, as well as SBC-IMX8X single board computer fitted with the module. CL-SOM-iMX8X System-on-Module Key features and specifications: SoC – NXP i.MX 8QuadXPlus quad-core Arm […]

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Getting Started with Sipeed M1 based Maixduino Board & Grove AI HAT for Raspberry Pi

Last year we discovered Kendryte K210 processor with a RISC-V core and featuring AI accelerators for machine vision and machine hearing. Soon after,  Sipeed M1 module was launched with the processor for aroud $10. Then this year we started to get more convenient development board featuring Sipeed M1 module such as Maixduino or Grove AI Hat. Seeed Studio sent me the last two boards for review. So I’ll start by showing the items I received, before showing how to get started with MicroPython and Arduino code. Note that I’ll be using Ubuntu 18.04, but development in Windows is also possible. Unboxing I received two packages with a Maixduino kit, and the other “Grove AI HAT for Edge Computing”. Grove AI HAT for Edge Computing Let’s start with the second. The board is a Raspberry Pi HAT with Sipeed M1 module, a 40-pin Raspberry Pi header, 6 grove connectors, as well […]

Khadas Edge2 Arm mini PC
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HuskyLens AI Camera & Display Board is Powered by Kendryte RISC-V Processor (Crowdfunding)

A couple of years ago, I reviewed JeVois-A33 computer vision camera  powered by Allwinner A33 quad-core Cortex-A7 processor running Linux. The tiny camera would implement easy-to-use software for machine vision with features such as object detection, eye tracking, QR code and ArUco marker detection, and so on. The camera could handle the tasks at hand, but since it relied on purely software computer vision, there were lag for some of the demo applications including 500ms for single object detection, and up to 3 seconds for YOLO test with multiple object types using deep learning algorithms. That’s a bit slow for robotics project, and software solutions usually consume more than hardware accelerated ones. Since then, we’ve started to see low-cost SoC and hardware with dedicated hardware AI accelerators, and one of those is Kendryte K210 dual-core RISC-V processor with a built-in KPU Convolutional Neural Network (CNN) hardware accelerator and APU audio […]

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CompuLab UCM-iMX8M-Mini is a Stamp Size i.MX 8M Mini SoM

We’ve recently written about several new hardware platforms based on the latest NXP i.MX 8M Mini processor family including Nitrogen8M_Mini SBC and F&S Elektronik PicoCore MX8MM SoM. Thanks to a new 14-nm process, the new family has the advantage of consuming less power, and the Cortex-A53 cores can run at a higher frequency. They should cost less as well thanks to cost-saving measures like the adoption of a 1080p video decoder instead of a 4K decoder found in the older NXP i.MX 8M family. CompuLab has now launched their own NXP i.MX 8M Mini SoM with UCM-iMX8M-Mini module that’s about the size of a largish stamp (38 x 28 mm) suitable for portable and space constrained applications such as professional handheld devices, wearable healthcare monitors and medical devices, autonomous drones with visual object recognition, or portable instrumentation equipment with advanced HMI. CompuLab UCM-iMX8M-Mini SoM specifications: SoC (one or the other) […]

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Tiny NanoPi Duo2 Board Comes with WiFi, a Camera Interface, an Optional 2G-IoT Dock

NanoPi Duo was launched last year as an ultra-cheap ($8+) Arm Linux board that fits into a breadboard. The board was powered by Allwinner H2+ processor coupled with 256 or 512MB RAM, and the infamous XR819 802.11b/g/n WiFi chip. FriendlyElec has now launched NanoPi Duo2, that’s still breadboard compatible, but with a slightly longer form factor, Allwinner H3 processor, 512 MB RAM, better WiFi thanks to an AP6212 module, and an extra camera interface. As we’ll see further below the company also developed a carrier board for 2G cellular IoT applications. NanoPi Duo2 specifications with highlights in bold showing differences again NanoPi Duo: SoC – Allwinner H3 quad core Cortex A7 processor @ 1.2 GHz with Mali-400MP2 GPU System Memory – 512 MB DDR3 SDRAM Storage – micro SD card slot, footprint for SPI flash Connectivity – 802.11 b/g/n WiFi + Bluetooth 4.0 LE (Ampak AP6212  module) with chip antenna, […]

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Forlinx OK5718-C Development Board is Powered by TI AM5718 Cortex-A15/M4 processor

Forlinx Embedded Technology (Forlinx) has just launched a new development board for indsutrial applications with audio and video processing requirements.  OK5718-C development board features Texas Instruments AM5718 Sitara SoC with a single Arm Cortex-A15 core, two real-time Cortex-M4 cores, a dual PRU, and a TI C66x DSP core. OK5718-C development board consists of a carrier board and FET5718-C SoM with the following specifications: FET5718-C System-on-Module SoC – TI AM5718 Sitara Arm Cortex-A15 processor @ up to 1.5GHz, C66x DSP @  750MHz, dual-core Arm Cortex-M4 @ 213MHz, dual core PRU @ 200MHz, PowerVR SGX544 3D GPU,  Vivante GC320 2D GPU, IVA-HD video accelerator subsystem (H.264, MPEG4, MPEG2, VC1) System Memory – 1GB DDR3L Storage – 8GB eMMC flash Board-to-board connectors for interface with baseboard – 320–pin exposing USB 3.0, PCIe 3.0, HDMI 1.4a, LCD RGB, 10x UART, 1x QSPI, 2x CAN, 2x Gigabit Ethernet, etc… PMU – TI TPS659162RGZR Supply Voltage – […]

Rockchip RK3568/RK3588 and Intel x86 SBCs
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Neutis N5 Allwinner H5 CPU Module and Development Kit are now up for pre-order

Emlid Neutis N5 system-on-module (SoM) powered by Allwinner H5 processor was unveiled right before Embedded World 2018 in February with an expected launch date scheduled for April. There have been some delays but the Allwinner H5 CPU module and corresponding development kit are now up for pre-order with delivery slate for the end of August. Neutis N5 SoM Neutis N5 specifications: SoC – Allwinner H5 quad core  Arm Cortex-A53 processor @ up to 1.3 GHz with Arm Mali-450MP4 GPU System Memory – 512 MB DDR3 RAM Storage – 8 GB eMMC flash Connectivity – Wi-Fi 802.11 b/g/n. Bluetooth 4.0 dual-mode BLE with on-board antenna and u.FL connector for optional external antenna HW Security – Tamper-resistant dedicated crypto chip (secure element) for storing cryptographic keys, unique ID, random number generation and more 2x DF40 80-pin board to board X1 and X2 connectors with 38x GPIOs 4x UART, 3x I2C, 2x SPI, […]

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Banana Pi M2 Magic Board Now Sold with Allwinner A33 Processor for $23

Banana Pi M2 Magic development board was first unveiled in February of this year with an Allwinner R16 SoC, 512 MB RAM, and 8GB eMMC flash, and its main selling points were support for MIPI DSI LCD displays, CSI cameras, and 3.7V LiPo batteries. AFAIK SinoVoIP never sold that version of the board, at least on Aliexpress. Possibly due to the intricacies of Allwinner business units, the company has now officially launched Banana Pi M2 Magic (aka BPI M2M), but replaced Allwinner R16 by the similar Allwinner A33 processor, and removed the 8GB eMMC flash to bring the price down to $23 plus shipping. The “old” Allwinner R16 based Banana Pi M2 Magic board will apparently be sold as M2 Magic Plus soon. Banana Pi BPI-M2 Magic (A33) specifications: SoC – Allwinner A33 quad core ARM Cortex-A7 processor with ARM Mali 400 MP2 GPU System Memory – 512MB DDR3 Storage […]

Khadas VIM4 SBC