La Frite Amlogic S805X Board Runs Mainline Linux, Goes for $5 and Up (Crowdfunding)

AML-S805X-AC Board

Libre Computer first started with their AML-S905X-CC (aka Le Potato) board powered by Amlogic S905X processor last year, and they’ve since then launched several other boards based on Allwinner or Rockchip processor. But their latest “La Frite” board – also known as AML-S805X-AC – is an even lower cost version of the “Le Potato” board, with an Amlogic S805X processor limited to 1080p60 output and video decoding, a smaller footprint based on the one for Raspberry Pi Model A+, and price starting at just $5 on Kickstarter. AML-S805X-AC “La Frite” board specifications: SoC – Amlogic S805X quad core ARM Cortex-A53 processor @ 1.2 GHz with penta core ARM Mali-450MP GPU @ 650 MHz, and Amlogic Video Engine 10 System Memory – 512 MB or 1GB DDR4 @ 2400 MHz Storage –   eMMC module connector, 128 Mb SPI NOR flash Video & Audio Output – HDMI 2.0 port Video Codecs Decoding – Up to 1080p60 VP9 P2, 10-bit H.265, and H.264. …

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Lindenis V5 Allwinner V5 SBC is Designed for AI Video Processing, 4K Encoding

Allwinner V5 SBC

Allwinner V5 V100 is a new quad core Cortex A7 processor targeting 4K 30 fps (Linux)  cameras, and integrating AIE intelligent analytic acceleration engine handling motion detection, perimeter defense video diagnosis, and face detection. Usually, it’s pretty hard to get a development board based on a new processor, but Lindenis V5 single board computer based on the processor is already available in China, and comes with 1 to 2GB RAM, HDMI 1.4 and MIPI DSI video outputs, dual MIPI CSI video outputs, Gigabit Ethernet and more. Lindevis V5 SBC specifications: SoC – Allwinner V5 Quad core Arm Cortex-A7 processor @ up to 1,512 MHz with NEON, VFPv4 FPU 4K @ 30 fps H.265/H.264 encoder and decoder Dual ISP [email protected] + [email protected] AIE (AI Engine) Architecture – Built-in with intelligent analytics acceleration engine with support for motion detection, perimeter defense, video diagnosis, face detection, flow statistics. Supports binocular depth map. System Memory – 1 or 2GB RAM Storage – Micro SD …

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KINGJIM Pomera DM200 Rockchip RK3128 Portable Mini Computer Can Run Debian

Ultra mobile portable computers (UMPC) are somewhat making a come back with products such as GPD Pocket 2 or DragonBox Pyra open source handheld computer. While being fairly powerful, neither devices are particularly inexpensive, and if you are looking for something cheaper, and admittedly much slower, I’ve been informed that Rockchip RK3128 based KINGJIM Pomera DM200 mini computer can be an option since it has been “hacked” to run Debian. By default, the device runs  a Linux OS with user interface in Japanese only, and is sold as a digital memo. Some of the specifications include: SoC – Rockchip RK3128 quad core Cortex A7 processor with Mali-400MP2 GPU System Memory – 512MB RAM Storage – 4GB flash, micro SD slot up to 32GB Display – 7″ TFT LCD display with WSVGA (1024 x 600) resolution Connectivity – WiFi 802.11 b/g/n + Bluetooth 4.0 LE + EDR Keyboard – Japanese keyboard Battery – 3.7V/ 4.2A (16Wh) Lithium Ion battery Power Supply …

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Google Unveils Edge TPU Low Power Machine Learning Chip, AIY Edge TPU Development Board and Accelerator

AIY Edge TPU Dev Board

Google introduced artificial intelligence and machine learning concepts to hundreds of thousands of people with their AIY projects kit such as the AIY Voice Kit with voice recognition and the AIY Vision Kit for computer vision applications. The company has now gone further by unveiling Edge TPU, its own  purpose-built ASIC chip designed to run TensorFlow Lite ML models at the edge, as well as corresponding AIY Edge TPU development board, and AIY Edge TPU accelerator USB stick to add to any USB compatible hardware. Google Edge TPU (Tensor Processing Unit) & Cloud IoT Edge Software Edge TPU is a tiny chip for machine learning (ML) optimized for performance-per-watt and performance-per-dollar.  It can either accelerate ML inferencing on device, or can pair with Google Cloud to create a full cloud-to-edge ML stack. In either case, local processing reduces latency, remove the needs for a persistent network connection, increases privacy, and allows for higher performance using less power. The chip will …

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Khadas Edge is Both a Standalone Board and a System-on-Module powered by Rockchip RK3399

Khadas Edge

One of the two most common type of Arm boards are single board computers with everything from processor to memory/storage to ports is placed on a single PCB, and system-on-modules with processor, memory and storage, and sometimes some extra chips with for network connectivity, audio and power management that are supposed to be inserted into a baseboard exposing connectors and headers. The upcoming Khadas Edge board is a little different since it combines both categories into one board with USB receptacles and HDMI output as well as 314-pin MXM3 edge connector to connect to Khadas Captain baseboard, or any other custom compatible baseboard. Khadas Edge will come in three variants (Basic/Pro/Max) with the following specifications: SoC – Rockchip RK3399 hexa core processor with 2x Arm Cortex-A72 up to 1.8GHz, 4x Cortex-A53 up to 1.5GHz, Arm Mali T864 GPU with support for OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1, OpenCL, DX11, VPU with4K VP9 and 4K 10bits H265/H264 video decoders up to 60fps, and 1080P H.264 …

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ROC-RK3328-CC Board Review, or the Case for Fast Storage and Adequate Power Supply

ROC-RK3328-CC Board Connection

Firefly team from T-chip company has send me some of their Rockchip development boards, and we’ve already checked the provided boards and accessories, so today I’ll report my experience with one of the board: ROC-RK3328-CC also known as Renegade. I won’t test it with Android, since I have already reviewed RK3328 Android TV boxes such as Zidoo X7, and I’ve been told the team is hard at work with Android 8.1 SDK, so an Oreo image should be released in a few weeks/months. So I had initially planned to report my experience with one of the Linux images,  then show how to install mainline Linux (currently 4.17) to the board, and reports what works. However, I encountered many issues, although likely not directly related to the board or its software support, so instead I’ll write about my experience getting started with the board, and list all the issues I had so that people can avoid those – or at least …

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Hikey 970 Documentation, HiAI DDK, Linux Firmware Images, and Support Forums

Hikey 970 board has impressive specifications with Huawei Kirin 970 SoC featuring an octa-core Arm Cortex A73/A53 processor and an Arm Mali-G72-MP12 GPU, coupled with 6GB LPDDR4x and 64GB UFS storage. It’s also one of the first broadly available developer platforms equipped with a Neural Processing Unit for artificial intelligence applications. However when it launched in April, Hikey 970 documentation was lacking, and despite the board is supposed to run both Android (AOSP) and Linux distributions such as Ubuntu or Debian, so far only AOSP is shown in the download section, with Linux distributions “coming soon”. But if you want to start as soon as possible there are still some good news. First, some documentation for the board has been released on Github, including getting started guides, hardware documentation (schematics, user manual, etc..), and some instructions to build AOSP from source code, and flash it to the UFS storage. If you are interested in Huawei artificial intelligence SDK (HiAI DDK) …

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Armbian History, Infrastructure, and Progress Report

Armbian-Services

Many of us rely on Armbian Debian and Ubuntu images for our cheap Arm development boards since they usually offer better support than vendor supplied firmware images. The community has just updated Armbian website, but the thing that caught my eye in the announcement was a link to a 45-minute presentation by Igor Pečovnik, working full-time on the project, that details the history about Armbian, and provides a relatively recent progress update as it was made at BalCCon – Balkan Computer Congress in November 2017. I’ve embedded the video further below, but first I’ll provide summary of the key point made during the presentation. It all started with Cubieboard (A20) as Igor was trying to fix some issues, and learn how to improve software support on the board. Several people joined his efforts on Cubieboard forums, and eventually Armbian website launched in mid 2014 running on the Cubieboard then ODROID-XU4 board as interest and traffic increased. The main motivations of …

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