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myCobot 280 Pi is a versatile robotic arm with a 6 degree of freedom design. It was developed by Elephant Robotics using the Raspberry Pi 4 board as the main controller. The robot is compact and delivers stable operation making it ideal for confined spaces. It can also be programmed in a variety of languages, is easy to use, and offers a lot of features. It is suitable for those who are interested in learning how to program a robotic arm controller and for engineering projects. Unboxing myCobot 280 Pi The myCobot 280 Pi arm has a working range of 280 mm, weighs 850 grams, and can handle a payload of up to 250 grams. It is powered by 6 servo motors, one for each degree of freedom, and comes with a 5×5 matrix LED display, and supports LEGO parts as well. Controlled by a Raspberry Pi 4 single board [...] The post Review of myCobot 280 Pi robotic arm with Python and visual programming 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. [x] Boot test with basic functions checked [x] Install and boot from eMMC 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 kASLR is a handy security feature, with no performance downside. (The only downside is some slight inconvenience if you're using KGDB, but if you're the type of person who does kernel step debugging, it seems sane to guess you're already building your own kernel.) If it cannot be enabled due to lack of seed, the kernel will simply print a warning and continue. (See #4306 for more context on what was previously added to get it working on a NanoPi R4S.) I also believe this warning will be useful note for us to add rng support on all devices as time goes on. Example of failure: [ 0.052888] KASLR disabled due to lack of seed Example of success (on a NanoPi R4S): [ 0.078587] KASLR enabled How Has This Been Tested? [x] It's been enabled and stressed tested on a NanoPi R4S 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 [ ] My changes generate no new warnings [x] Any dependent changes have been merged and published in downstream modules View the full article

Description Since systemd journal can have its persistent files in /var/log/journal and may be softlinked to /var/log/journal, it needs to be safely recreated during the installation process. 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] installed fix on up-to-date neo2 apt update && apt upgrade on nanopi neo2, copied updated nand-sata-install and exclude.txt, run nand-sata-install to install image to nand, restarted from NAND verified that /var/log.hdd/journal is a folder for persistent journald logging verified that /var/log/journal is symlink to /var/log.hdd/journal Also verified that /run/log/journal is in active use for volatile journald logging. 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 [x] My changes generate no new warnings [x] Any dependent changes have been merged and published in downstream modules View the full article

The challenge with TinyML is to extract the maximum performance/efficiency at the lowest footprint for AI workloads on microcontroller-class hardware. The TinyML-CAM pipeline, developed by a team of machine learning researchers in Europe, demonstrates what’s possible to achieve on relatively low-end hardware with a camera. Most specifically, they managed to reach over 80 FPS image recognition on the sub-$10 ESP32-CAM board with the open-source TinyML-CAM pipeline taking just about 1KB of RAM. It should work on other MCU boards with a camera, and training does not seem complex since we are told it takes around 30 minutes to implement a customized task. The researchers note that solutions like TensorFlow Lite for Microcontrollers and Edge Impulse already enable the execution of ML workloads, onMCU boards, using Neural Networks (NNs). However, those usually take quite a lot of memory, between 50 and 500 kB of RAM, and take 100 to 600 ms [...] The post TinyML-CAM pipeline enables 80 FPS image recognition on ESP32 using just 1 KB RAM appeared first on CNX Software - Embedded Systems News. View the full article

Startup SMLIGHT has launched the SLZB-06 Zigbee 3.0 to Ethernet, USB, and WiFi adapter with PoE support that works out of the box with open-source software such as Home Assistant and Zigbee2MQTT. The device combines Texas Instruments’ СС2652Р microcontroller for Zigbee with ESP32 for WiFi, data transfer to Ethernet or USB, and peripheral functions such as LEDs and a button.The design is complemented with Microchip LAN8720 for Ethernet. SMLIGHT SLZB-06 specifications: Wireless SoCs Texas Instruments CC2652P1FRGZR Arm Cortex-M4F microcontroller @ 48 MHz with 352KB flash, 256KB ROM for protocols and library functions, 80+8KB SRAM, integrated power amplifier, Bluetooth 5.2 Low Energy and 802.15.4 radios Espressif Systems ESP32-DOWDQ5-V3 dual-core processor @ 240MHz with 448 KB ROM, 520 KB SRAM, 16 KB SRAM in RTC, WiFi and BLE connectivity Connectivity Ethernet RJ45 port with PoE support (IEEE 802.3af) implemented through Microchip LAN8720 10/100M Ethernet controller 2.4 GHz WiFi up to 150 [...] The post SMLIGHT SLZB-06 – A Zigbee 3.0 to Ethernet, USB, and WiFi adapter with PoE support appeared first on CNX Software - Embedded Systems News. View the full article

ITEAD has sent us a Smart Home kit for review including the SONOFF NSPanel Pro Android control panel and Zigbee gateway, an enclosure stand, the CAM Slim WiFi camera, and four Zigbee modules, namely the SNZB-01 wireless switch, the SNZB-02 temperature & humidity sensor, the SNZB-03 motion sensor, and the SNZB-04 door/window sensor. In this review, we’ll configure the NSPanel Pro controller with the eWelink app in Android, show how to add the WiFi camera and Zigbee devices directly to NSPanel Pro, and go back to the eWelink app for more advanced features such as scenes with triggers and actions. Sonoff NSPanel Pro kit unboxing Let’s get started by having a closer look at the SONOFF NSPanel Pro controller. As previously noted, the device is based on Rockchip PX30 quad-core Cortex-A35 processor and runs Android 8.1. It acts both as a control panel and a WiFi to Zigbee 3.0 gateway. The [...] The post SONOFF NSPanel Pro control panel review with Zigbee modules, CAM Slim WiFi camera appeared first on CNX Software - Embedded Systems News. View the full article

Description Based on https://github.com/armbian/build/pull/4267 Jira reference number AR-1387 How Has This Been Tested? [x] Build test of all kernels 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 We need at least one build target in the family & it doesn't need to build image. View the full article

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Everactive has launched a batteryless IoT devkit to let engineers evaluate its ultra-low-power energy harvesting solution and the Evernet wireless protocol for the “Hyperscale” Internet of Things. The kit is comprised of two environment sensors (ENV+ Eversensor) with a low-light photovoltaic harvester, one USB Evergateway, and an unlimited number of accounts to the Everactive developer console for data visualization. The ENV+ Eversensor features temperature, humidity, and pressure sensors, as well as a 3-axis accelerometer, supports the Evernet IoT protocol, and instead of using a battery for power, the device relies on a photovoltaic cell that provides enough energy for continuous data streaming to the USB gateway at a rate of once every 15 seconds. The public details about the development kit are rather light, but developers will have access to a developer console for data visualization, the ability to sandbox data & add virtual sensors, as well as access to [...] The post Everactive launches batteryless IoT devkit using Evernet low-power protocol appeared first on CNX Software - Embedded Systems News. View the full article

Description This code have 2 issues. The argument -f ${binary:Package} will be treated as varibale. So the command is incorrent and output nothing to stdout. But debsums will check all package when we don't specify any package. So it happens to work. What's more, when we silense it by default (#4080) , we leave a } after '>/dev/null 2>/dev/null'. It's really strange how it can work. lol How Has This Been Tested? [X] Build 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 Update odroidxu4-current kernel to 5.4.220. 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 My rock5b always encountered system hang with the old rkbin files when ddr freq is 2112MHz. After updating these binaries there is no system hangs. 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] u-boot build successfully [x] no system hangs after updating u-boot 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

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LOLIN C3 Pico is a tiny (25.4×25.4mm) ESP32-C3 RISC-V board with 2.4 GHz WiFi and Bluetooth Low Energy connectivity, a few I/Os, and LiPo battery support including charging circuitry. I tend to like Wemos/LOLIN boards, because of their small form factor, support for equally tiny shields, and low price. The LOLIN C3 Pico is no exception, and even adds a few features such as an RGB LED, an I2C connector, and support for battery power and charging. LOLIN C3 Pico specifications: SoC – Espressif Systems ESP32-C3FH4 single-core 32-bit RISC-V (RV32IMC) microcontroller up to 160 MHz with 400 KB SRAM, 4MB Flash Connectivity – 2.4 GHz WiFi 4 and Bluetooth 5.0 LE (in SoC) Expansion headers 2x 8-pin headers with up to 12x GPIO, ADC, I2C, SPI, UART (3.3V I/O voltage) LOLIN I2C port USB – 1x Type-C USB for 5V power and programming Misc – Reset button and user button, [...] The post LOLIN C3 PICO is a tiny ESP32-C3 board with battery charging support appeared first on CNX Software - Embedded Systems News. View the full article

FriendlyELEC has launched its sixth generation router with the NanoPi R6S equipped with a Rockchip RK3588S processor, two 2.5GbE ports, one Gigabit Ethernet port, and two USB interfaces. But the device will not exactly be limited to router functions as it comes with 8GB RAM, a 32GB eMMC flash, and an HDMI 2.1 port that support up to 8Kp60 video output, not to mention 8K video decoding capability and the integrated 6 TOPS NPU for AI workloads. NanoPi R6S specifications: SoC – Rockchip RK3588S octa-core processor with: CPU – 4x Cortex-A76 cores @ up to 2.4 GHz, four Cortex-A55 cores @ 1.8 GHz GPU – Arm Mali-G610 MP4 quad-core GPU with OpenGL ES3.2 / OpenCL 2.2 / Vulkan1.1 support VPU – 8Kp60 H.265/VP9/AVS2 video decoder, 8Kp30 H.264 decoder, 4Kp60 AV1 decoder, 8Kp30 H.265/H.264 video encoder AI accelerator – 6 TOPS NPU System Memory – 8GB LPDDR4X @ 2133 MHz Storage [...] The post NanoPi R6S – A Rockchip RK3588S router and mini PC with dual 2.5GbE, GbE, and… HDMI 2.1 appeared first on CNX Software - Embedded Systems News. View the full article

Description address wrong target we can expose two targets max Jira reference number AR-1386 How Has This Been Tested? This is fixing after the test 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 debian showed not supported due to absence of lsb-release motd didn't address displaying update aval correct How Has This Been Tested? [x] Manual run 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 [x] My changes generate no new warnings [x] Any dependent changes have been merged and published in downstream modules View the full article

Description Support for minimal images was broken. (cosmetic fix) Jira reference number [AR-9999] How Has This Been Tested? [x] Manual run 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 [x] My changes generate no new warnings [x] Any dependent changes have been merged and published in downstream modules View the full article

With the upcoming 0.5 release, WirePlumber's configuration system will be moving to a JSON syntax to define settings, bringing a more unified configuration approach across the PipeWire ecosystem. View the full article

It’s now much easier to AI features to your project thanks to better tools, but as we’ve experienced when trying out Edge Impulse machine learning platform on the XIAO BLE Sense board, it still requires some effort and the learning curve may be higher than some expect. But for common tasks like face detection, there’s no reason for the solution to be hard-to-use or expensive, and Pete Warden (Useful Sensors) has designed the $10 Person Sensor fitted with a camera module pre-programmed with algorithms that detect nearby faces and reports the results over an I2C interface. Person Sensor specifications: ASIC – Himax HX6537-A ultra-low-power AI accelerator @ 400 MHz with 2MB SRAM, 2MB flash Camera Image Sensor – 110 degrees FOV Image scan rate – 7Hz with no facial recognition Image scan rate – 5Hz with facial recognition active Host interface Qwiic connector for the I2C interface up to [...] The post Easily add face detection to your project with the Person Sensor module appeared first on CNX Software - Embedded Systems News. View the full article

Most WiFi HaLow hardware platforms we’ve seen so far are based on Newracom chips, but AsiaRF AP7688-WHM WiFi HaLow IoT gateway features a module based on Morse Micro MM6108 802.11ah SoC instead. The gateway is powered by a 580 MHz MediaTek MT7688 MIPS processor providing 802.11n WiFi 4 and dual Ethernet networking, and features a USB port as well as an RS232 console for industrial control. WiFi HaLow (802.11ah) enables video and data transmission at a range of up to one kilometer and data rates of up to 32.5 Mbps. AP7688-WHM WiFi HaLow gateway specifications: SoC – Mediatek MT7688 MIPS SoC @ 580 MHz with built-in WiFi 4 System Memory – TBD Storage – TBD Connectivity 2x Ethernet RJ45 ports 2.4 GHz WiFi 4 1T1R up to 150 Mbps; PCB antenna 850 to 950 MHz WiFi HaLow 1T1R up to 32.5Mbps @ 8 MHz bandwidth via Morse Micro MM6108 chip; [...] The post WiFi HaLow IoT gateway is based on Morse Micro MM6108 802.11ah chip appeared first on CNX Software - Embedded Systems News. View the full article

Description Reported as broken https://github.com/armbian/build/pull/4251 How Has This Been Tested? [x] https://github.com/armbian/build/pull/4251 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

Microchip WBZ451 Curiosity Board features the company’s Microchip’s WBZ451PE Bluetooth Low Energy 5.2 and Zigbee 3.0 RF module based on the new Microchip PIC32CX-BZ2 32-bit Arm Cortex-M4F wireless microcontroller. WBZ451 Curiosity Board (EV96B94A) specifications: Wireless module – WBZ451PE Bluetooth Low Energy and Zigbee RF Module with Microchip PIC32CX-BZ2 32-bit Arm Cortex-M4F wireless microcontroller @ up to 64 MHz, 128KB RAM, 1MB flash, 2.4 GHz radio for Bluetooth LE 5.2 and 802.15.4 (Zigbee 3.0) Tx output power – Up +12 dBm Rx sensitivity – Up to -103 dBm PCB antenna 29x I/O pins Storage – 64Mbit QSPI flash Expansion – mikroBUS socket for MikroElectronika Click adapter boards Sensor – Microchip MCP9700A analog voltage temperature sensor Debugging On-board Programmer/Debug Circuit using PICkit On-board 4 (PKoB4) based on Microchip SAME70 MCU On-board USB to UART Serial Converter with Hardware Flow Control based on Microchip MCP2200 10-pin Arm Serial Wire Debug (SWD) header for [...] The post WBZ451 Curiosity Board features Microchip PIC32CX-BZ2 BLE and Zigbee 3.0 microcontroller appeared first on CNX Software - Embedded Systems News. View the full article