RSS Bot

Description Optimized PNG images that were not yet optimized. Image quality is not reduced, only the file size of the PNG. The tool optipng was used for this. Jira reference number [AR-9999] How Has This Been Tested? Images are still PNG images and look identical. Checklist: [x] My code follows the style guidelines of this project [x] I have performed a self-review of my own code [x] I have commented my code, particularly in hard-to-understand areas [x] I have made corresponding changes to the documentation [x] My changes generate no new warnings [x] Any dependent changes have been merged and published in downstream modules View the full article

Description See https://github.com/armbian/build/issues/5084 Jira reference number AR-1666 Checklist: [x] My code follows the style guidelines of this project [x] I have performed a self-review of my own code [x] I have commented my code, particularly in hard-to-understand areas [x] I have made corresponding changes to the documentation [x] My changes generate no new warnings [x] Any dependent changes have been merged and published in downstream modules View the full article

HARDWARIO CHESTER platform is a configurable LPWAN IoT gateway whose main function is to connect as many devices and environments as possible to the Internet using connectivity such as LoRaWAN, LTE Cat M1, or NB-IoT, as well as GNSS for geolocation. Contrary to most IoT gateways, it does not run Linux on an application processor, and instead, the “brain” of the CHESTER IoT gateway is a Raytac Bluetooth 5.0 module based on a Nordic Semi nRF52840 Arm Cortex-M4 microcontroller running Zephyr real-time operating system, which connects to LTE IoT modem and a LoRaWAN module through UART, and expansion modules through I2C, 1-wire, and GPIO interfaces. HARDWARIO CHESTER specifications: Wireless modules/chips Raytac MDBT50Q-P1MV2 Bluetooth 5.0 module based on Nordic Semi nRF52840 Arm Cortex-M4F MCU with 1MB Flash memory, 256kB RAM Nordic Semi nRF9160-SICA-B1A-R7 LTE-M/NB-IoT system-in-package (SiP) with Arm Cortex-M33 MCU, 1024 KB flash, 256 KB SRAM Murata CMWX1ZZABZ-078 LoRa module as [...] The post HARDWARIO CHESTER – A configurable Zephyr OS LPWAN IoT gateway with LoRaWAN, LTE IoT, GNSS connectivity appeared first on CNX Software - Embedded Systems News. View the full article

…22459702ebfadd Description Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. Jira reference number AR-1667 How Has This Been Tested? Please describe the tests that you ran to verify your changes. Please also note any relevant details for your test configuration. built jammy image with patched 6.1.125 kernel verified /dev/snd/ nodes returned Sent patched image to the user who had the audio HAT for the RockPi-S He verified that audio (output at least) now works. Checklist: [x] My code follows the style guidelines of this project [x] I have performed a self-review of my own code [x] I have commented my code, particularly in hard-to-understand areas [x] I have made corresponding changes to the documentation [x] My changes generate no new warnings [x] Any dependent changes have been merged and published in downstream modules View the full article

Description Add a tool named bootconfig to manage boot files. If it's OK, I will update all bootscripts to support it. The previous discussions are in #5076. How Has This Been Tested? [X] Build [X] apt install linux-image-current-meson and reboot to current [X] apt install linux-image-edge-meson and reboot to edge [X] apt purge linux-image-edge-meson and reboot to current Checklist: [ ] My code follows the style guidelines of this project [X] I have performed a self-review of my own code [X] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [X] My changes generate no new warnings ✕ Any dependent changes have been merged and published in downstream modules Need #5076 View the full article

Return COMPRESS_OUTPUTIMAGE=gz option How Has This Been Tested? ./compile.sh helios BOARD=helios64 BRANCH=current COMPRESS_OUTPUTIMAGE=gz,sha [x] Test A [ ] Test B Checklist: [x] My code follows the style guidelines of this project [ ] I have performed a self-review of my own code [ ] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [x] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

Description Hinlink H88K is a rk3588 board with a lot of IO: https://doc.hinlink.cn/ I've been building personal images: https://github.com/amazingfate/armbian-h88k-images/ I just use the same uboot defconfig with evb uboot devicetree. I may patch the evb device tree in the future since uboot patch is board specific. Checklist: [x] My code follows the style guidelines of this project [x] I have performed a self-review of my own code [ ] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [x] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

Maxtang ALN-10 is an upcoming mini-ITX motherboard based on Alder Lake-N processors from the Processor N50 up to the Core i3-N305 SoC and specifically targetting industrial applications with a -20 to +60°C temperature range, six RS232/RS485 serial ports, and 12V to 19V DC input among other features. Since the latest Alder Lake N-Series processors were announced, we’ve seen a range of mini PCs based on the new series, some laptops, as well as a camera devkit and one single board computer, but so far no actual motherboards. Maxtang ALN-10 changes that with the industrial mini-ITX motherboard soon expected to launch for B2B customers. Maxtang ALN-10 specifications: Alder Lake-N SoC (one or the other) Intel Core i3-N305 octa-core processor up to 3.8 GHz (Turbo) with 6MB cache, 32EU Intel UHD graphics; TDP: 15W (Active cooling) Intel Core i3-N300 octa-core processor up to 3.8 GHz (Turbo) with 6MB cache, 32EU Intel UHD [...] The post Maxtang ALN-10 – An Alder Lake-N mini-ITX motherboard for industrial applications appeared first on CNX Software - Embedded Systems News. View the full article

Description For bootable/workable kernel, dtb is necessary. How Has This Been Tested? [X] Build [X] Run apt show linux-image-current-meson to check whether dtb is a dependency. [X] Run apt purge --autoremove linux-image-current-meson to check if dtb will be removed automatically. Checklist: [ ] My code follows the style guidelines of this project [X] I have performed a self-review of my own code [X] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [X] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

We’ve already covered inexpensive offline voice recognition modules based on US516P6 or TW-ASR ONE microcontrollers that allow people to add smarts to their projects without a network connection for improved privacy and lower latency. Those are great in theory, but at the time (April 2022) documentation was lacking or only in Chinese, and they were fairly hard to use based on some of the comments in my earlier posts. But today, I’ve noticed DFRobot is now selling the “Gravity: Offline Voice Recognition Sensor – I2C & UART” module with support for Arduino programming, and it looks fairly easy to customize as we’ll see further below. Gravity Voice Recognition DF2301QG module specifications: Voice recognition module – WS-2520-TR module with MCU – TBD 121 commonly used fixed voice commands, one-fixed wake word Support for 1 learned wake-word, 17 user-defined commands Audio Output – Built-in speaker and external speaker interface Input – Dual [...] The post Offline voice recognition module supports Arduino programming, custom voice commands appeared first on CNX Software - Embedded Systems News. View the full article

We first spotted the AMD Ryzen Embedded 5000 processors in a micro-ATX motherboard last August, but AMD has now only announced the availability the of Ryzen Embedded 5000 Series “Zen 3” processors designed for “always on” networking firewalls, network-attached storage systems, and other security applications. AMD also mentions the Ryzen Embedded 5000 are “power-efficient processors”, but that does not mean low power, as those embedded processors are 65 to 105W parts, and offer a step-up in performance from the 10 to 54W AMD Ryzen Embedded V3000 processors also targetting networking and storage applications. As we found out last year, four SKUs are available with the Ryzen 5950E, Ryzen 5900E, Ryzen 5800E, and Ryzen 5600E, but the specifications are a little different, as for instance, there’s no 10-core part. All four are AM4-socket processors, support two DDR4 channels up to 3200MT/s, and come with 24 PCIe Gen4 lanes, and when optionally [...] The post AMD Ryzen Embedded 5000 processors launched for networking applications appeared first on CNX Software - Embedded Systems News. View the full article

Description Update odroidxu4-current kernel to 5.4.241 How Has This Been Tested? [x] Reboot of my Odroid HC1 Checklist: [x] My code follows the style guidelines of this project [x] I have performed a self-review of my own code [ ] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [x] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

Description I change both edge and current. vdd-log supply is pwm-supply, not vin-supply. Fixes vdd-log supply ending up the dummy regulator. [ 1.783479] pwm-regulator vdd-log: Looking up pwm-supply from device tree [ 1.783505] pwm-regulator vdd-log: Looking up pwm-supply property in node /vdd-log failed [ 1.783556] vdd_log: supplied by regulator-dummy Per https://lore.kernel.org/all/20211227234529.1970281-2-heiko@sntech.de/ there will be no functional change as the supplying regulator is an always-on fixed-regulator. How Has This Been Tested? Please describe the tests that you ran to verify your changes. Please also note any relevant details for your test configuration. [ ] Test A [ ] Test B Checklist: [ ] My code follows the style guidelines of this project [x] I have performed a self-review of my own code [] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [x] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

Description Just maintenance. View the full article

WisdPi ArduPico is an Arduino UNO-shaped baseboard designed for the Raspberry Pi Pico and compatible boards that enables makers to reuse most Arduino shields available on the market and also adds for few I/Os and features. ArduPico specifications: Compatible board – Raspberry Pi Pico, Pico H, Pico W, Pico WH, and other Pi Pico compatible board solderable using through holes or castellated holes Expansion Arduino UNO header compatible with a wide range of shields 5-pin and 6-pin headers for additional GPIOs and 3.3V, GND All Raspberry Pi Pico GPIOs are exposed Debugging – SWD header Misc – Pico RESET key, WS2812 RGB LED Power Supply – 7 to 15V DC via DC jack Dimensions – 68.6 x 53.3 x 11.6 mm (Arduino UNO form factor) Weight – 18 grams Compatibility with the Arduino UNO is not 100% percent as, for instance, only three analog input pins are exposed against [...] The post ArduPico – An Arduino UNO compatible baseboard for Raspberry Pi Pico appeared first on CNX Software - Embedded Systems News. View the full article

Spring is in bloom in the northern hemisphere, and with it comes three tech events we'll be attending - PyCon US, Shell & Display Next Hackfest, and Linaro Connect! View the full article

The 100ASK-V853-Pro board is a development kit consisting of an Allwinner V853 system-on-module board (SoM) and a feature-rich carrier board with a large number of interfaces. Allwinner V853 supports up to 1TOPS of NPU computing power and is mainly for AI vision application development. The core board contains a DDR and eMMC as well as a PMU chip (AXP2101) and is connected to the carrier board through a board-to-board connector. All the functional resources of the V853 are drawn out through the carrier board. The carrier board comes with 2-channels CSI camera interfaces as well as RGB and MIPI DSI display interfaces. Although 1 TOPS of AI computing power is not outstanding, the NPU can still be used to accelerate AI vision applications at the edge. The board also comes with four USB 2.0 ports (two Type-A, two Type-C), an 100Mbps Ethernet port, a 22-pin header for expansion, and five [...] The post 100ASK-V853-Pro – A feature-rich Allwinner V853 board designed for AI vision applications appeared first on CNX Software - Embedded Systems News. View the full article

Description Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. Jira reference number [AR-9999] How Has This Been Tested? Please describe the tests that you ran to verify your changes. Please also note any relevant details for your test configuration. [ ] Test A [ ] Test B Checklist: [ ] My code follows the style guidelines of this project [ ] I have performed a self-review of my own code [ ] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [ ] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

Description There are several small problems / corner cases that needs to be addressed. Any help is appriciated. How Has This Been Tested? Please describe the tests that you ran to verify your changes. Please also note any relevant details for your test configuration. [ ] Test A [ ] Test B Checklist: [ ] My code follows the style guidelines of this project [ ] I have performed a self-review of my own code [ ] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [ ] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

Description When we try to install a new kernel. All files under /boot will be removed. This PR will keep them until the special version kernel was removed. How Has This Been Tested? Need to be tested on other devices. [ ] Test A [ ] Test B Checklist: [ ] My code follows the style guidelines of this project [X] I have performed a self-review of my own code [X] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [ ] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

AAEON BOXER-8224AI is a thin and lightweight AI edge embedded system solution based on NVIDIA Jetson Nano system-on-module and designed for drones, or other space-constrained applications such as robotics. AAEON BOXER products are usually Embedded Box PCs with an enclosure, but the BOXER-8224AI is quite different as it’s a compact and 22mm thin board with MIPI CSI interfaces designed to add computer vision capability to unmanned areal vehicles (UAV), as well as several wafers for dual GbE, USB, and other I/Os. BOXER-8224AI specifications: AI Accelerator – NVIDIA Jetson Nano CPU – Arm Cortex-A57 quad-core processor System Memory – 4GB LPDDR4 Storage Device – 16GB eMMC 5.1 flash Dimensions – 70 x 45 mm Storage – microSD slot Display Interface – 1x Mini HDMI 2.0 port Camera interface – 2x MIPI CSI connectors Networking 2x Gigabit Ethernet via wafer connector (1x NVIDIA, 1x Intel i210) Optional WiFi, Bluetooth, and/or cellular connectivity [...] The post AAEON BOXER-8224AI – An NVIDIA Jetson Nano AI Edge embedded system for drones appeared first on CNX Software - Embedded Systems News. View the full article

Description After today's complete stall of primary Ubuntu infrastructure I switched to mirrors in order to rebuild caches. First problem is that often mirrors for amd64 and others are placed on different locations. This part is covered but it fails for riscv64 architecture. In order to cover that too, its better to have more generic variable CUSTOM_UBUNTU_MIRROR_PORTS and have everything that is not amd64 there. By quick research - if mirror hosts arm64 it also hosts risv64 and vice versa. Second problem - if caches are re-generated with 3rd party mirrors, release lists remain with those values. How to approach to that problem? We want that - at least our builds - are always shipped with generic entries. How Has This Been Tested? [ ] Generated rootfs with two mirrors that are fast in EU: CUSTOM_UBUNTU_MIRROR_PORTS="ftp.tu-chemnitz.de/pub/linux/ubuntu-ports/" CUSTOM_UBUNTU_MIRROR="mirrors.dotsrc.org/ubuntu/" Checklist: [x] My code follows the style guidelines of this project [x] I have performed a self-review of my own code [x] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [ ] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

EVerest is a software project initiated by PIONIX GmbH, but now part of the Linux Foundation’s LFEnergy initiative, whose primary goal is to develop and maintain an open-source software stack for EV charging infrastructure. EVerest supports multiple standards and it will run on any device from AC home chargers to public DC charging stations. I noticed the EVerest project in an upcoming talk at the Embedded Open Source Summit 2023 entitled ” EVerest: Electric Vehicle Chargers With Open Hardware and Software” and whose abstract reads in part: You will learn how to build your own electric vehicle charger using open hardware designs in combination with the EVerest open-source software stack for EV charging infrastructure. Following a quick introduction to EV charging technology, with explanations of the standards, protocols, and complexities involved, the talk will go into a deep dive into how you can build your own AC charging station. Reference [...] The post EVerest is an open-source software stack for car charging stations appeared first on CNX Software - Embedded Systems News. View the full article

Description https://github.com/armbian/build/pull/4917#issuecomment-1513450111 @prahal Checklist: [x] My code follows the style guidelines of this project [x] I have performed a self-review of my own code [ ] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [x] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article

Description ghproxy url is something like https://ghproxy.com/https://gtihub.com/armbian/build, which contains https://gtihub.com. Without this patch git will fetch from https://ghproxy.com/https://ghproxy.com/https://gtihub.com/armbian/build. Just skip modifying the url when ghproxy is set. How Has This Been Tested? Please describe the tests that you ran to verify your changes. Please also note any relevant details for your test configuration. [x] Build with GITHUB_MIRROR=ghproxy. Checklist: [x] My code follows the style guidelines of this project [x] I have performed a self-review of my own code [ ] I have commented my code, particularly in hard-to-understand areas [ ] I have made corresponding changes to the documentation [x] My changes generate no new warnings [ ] Any dependent changes have been merged and published in downstream modules View the full article