Linux News - Page 30 of 432 - CNX Software

August 25, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Raspberry Shake HAT brings earthquake monitoring to the Raspberry Pi SBC

Raspberry Shake is a family of Raspberry Pi HATs and full seismograph and infrasound monitors designed to enable earthquake monitoring on the popular single board computer Raspberry Pi Shake and Boom (for acoustic monitoring) HATs have been around for a few years, but I only learned about it now through an article on The MagPi Magazine where Branden Christensen, Business Steward, and Mike Hotchkiss, Marketing Director, were interviewed, so I decided to have a closer look. Four main models of the Raspberry Shake are available: RS1D vertical motion seismograph with a single motion velocity sensor to detect earthquakes RS3D vertical & lateral motion seismograph with one vertical & two lateral motion velocity sensors to measure earthquakes of all magnitudes RS4D “strong motion seismograph with one vertical motion velocity sensor to detect earthquakes, plus one extra vertical and two lateral accelerometer sensors for powerful earthquakes RS&BOOM seismograph & infrasound monitor that […]

August 25, 2023January 9, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Youyeetoo YY3568 devkit review – Part 1: Unboxing, specifications, and Android 11 testing

Youyeetoo has sent us a review sample of their YY3568 “Bundle 5” devkit with the Rockchip RK3568-powered YY3568 SBC, an 11.6-inch touchscreen display, a MIPI camera module, and all accessories required to get started. We were especially interested in using it to play with the 1 TOPS NPU in the Rockchip RK3568 in Linux, but we’ll start the Youyeetoo YY3568 review with an unboxing, some specifications, and a quick review with Android 11 before switching to Debian 10 in the second part of the review. Youyeetoo YY3568 devkit unboxing The YY3568 single board computer itself is comprised of a carrier board and a YY3568-Core board with a Rockchip RK3568 processor, as well as 8GB RAM, 64GB eMMC flash, and WiFi 5 and Bluetooth 5.0 module. The board is suitable for various applications from generic computing to video playback and AI workloads. YY3568 SBC specifications and hardware overview Youyeetoo YY3568 board […]

August 24, 2023March 26, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

EDATEC ED-HMI2020-101C – A 10.1-inch Raspberry Pi CM4-based industrial panel PC

10.1-inch Raspberry Pi CM4 industrial panel PC

EDATEC has launched yet another Raspberry Pi CM4-based platform for industrial applications with the ED-HMI2020-101C 10.1-inch panel PC with 1280×800 resolution, 9V to 28V wide power input, and support for an optional “extended display” via an HDMI FPC cable that also carries USB/I2C signal for the touchscreen. The system comes with up to 8GB RAM, 32GB eMMC flash, Gigabit Ethernet, optional WiFi 5 and Bluetooth 5.0, built-in stereo speakers, several other audio interfaces, as well as a 40-pin GPIO header for expansion. EDATEC ED-HMI2020-101C specifications: System-on-Module (SoM) – Raspberry Pi CM4 SoC – Broadcom BCM2711 CPU – Quad-core Cortex-A72 processor @ 1.5GHz GPU – VideoCore VI conformant with OpenGL ES 3.1 & Vulkan 1.2 VPU 4Kp60 H.265 video decoder 1080p60 H.264 video decoder 1080p30 H.264 video encoder System Memory – 1GB, 2GB, 4GB, 8GB LPDDR4-3200 SDRAM Storage – 8GB, 16GB, 32GB eMMC flash Wireless – Optional WiFi 5 and Bluetooth […]

August 23, 2023August 23, 2023 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Banana Pi BPI-6202 industrial SBC features Allwinner A40i SoC, 24V DC input, RS485 interfaces

Banana Pi BPI-6202 “embedded single board computer” features the industrial-grade Allwinner A40i quad-core Cortex-A7 processor with industrial temperature range and long life cycle, 2GB DDR3, 8GB eMMC flash, M.2 SATA slot, and more. That’s the second Allwinner A40i board from Banana Pi since the company launched the Banana Pi BPI-M2 Ultra SBC last year, but the new embedded SBC looks to be better suited for industrial applications with features such as dual Ethernet, an RS485 + RS232 terminal block, 24V DC input, and a -40 to +60°C operating temperature range. Banana Pi BPI-6202 specifications: SoC – Allwinner A40i quad-core Arm Cortex-A7 processor @ 1.20 GHz with Arm Mali-400MP2 GPU, 1080p60 H.264, MPEG-4, MPEG-1/2 video decoder, H.264 1080p45 video encoder System Memory – 2GB DDR3 SDRAM Storage – 8GB eMMC flash, microSD card slot, M.2 Key-B 2242 socket for SATA SSD Video & audio output – HDMI 1.4 port up to […]

August 22, 2023August 22, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Getting started with VOIPAC IMX8M Industrial development kit (Yocto Linux SDK)

VOIPAC IMX8M Developer Kit Audio Testing

Last month I went through an unboxing of the VOIPAC iMX8M Industrial Development Kit with some specs and a quick try with the pre-loaded Yocto 3.1 Linux image. The kit is quite versatile with plenty of interfaces and headers, and eventually, it will support Android 12 and Ubuntu 22.04 LTS. but in the meantime, I played a bit with the Yocto Linux SDK for the NXP i.MX 8M board and will report by experience getting started with VOIPAC IMX8M Industrial development kit. WiFi antennas installation But before checking out Yocto Linux, I will install the two WiFi antennas since I did not do it last time around. We can attach the SMA connectors to the two metal plates on the side of the board securing them with the provided nuts and spacers. The other side of the antenna’s cable comes with a tiny u.FL (or is it MHF4) connector and […]

August 22, 2023August 22, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Tiny solder-down NXP i.MX 93 System-on-Module powers credit card-sized evaluation board

Ka-Ro Electronics’ QS93 is a tiny solder-down NXP i.MX 93 System-on-Module (SoM) running Linux and designed for edge processing. The company also offers a credit card-sized evaluation board that may remind some of the Raspberry Pi with its GPIO header and general layout, but it comes with two Fast Ethernet ports and one USB 2.0 port. We’ve already covered several system-on-modules based on the NXP i.MX 93 Cortex-A55/M33 AI processor including some with high-density board-to-board connectors such as the Compulab UCM-IMX93 and Forlinx FET-MX9352-C, others with a SO-DIMM connector like the VAR-SOM-MX93, and finally some designed to be soldered on the carrier board such as the OSM-L compatible iW-RainboW-G50M, and the QS93 adds to the latter category in a tiny 27×27 mm form factor. Ka-Ro electronics QS93 specifications: SoC – NXP i.MX 93 with CPU – Up to dual-core Cortex-A55 processor @ up to 1.5 GHz Real-time core – Arm […]

August 21, 2023August 21, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

EPIC-ADN9 SBC features up to four 2.5GbE interfaces, two SATA ports

AAEON EPIC-ADN9 SBC is powered by an Intel Processor N50/N97, Core i3-N305, or Atom x7425E Alder Lake N-series processor and equipped with up to four 2.5GbE networking ports and two SATA III ports for storage. The board also comes with a SO-DIMM slot taking up to 16GB DDR4 memory, mSATA storage, three display interfaces including HDMI and DisplayPort, and two USB 3.2 Gen 2 ports, and offers expansion capabilities via M.2 and mPCIe sockets as well as headers. AAEON EPIC-ADN9 specifications: Alder Lake-N SoC (one or the other) Intel Core i3-N305 octa-core processor @ 1.8 / 3.8 GHz (Turbo) with 6 MB cache, 32 EU Intel UHD Graphics up to 1.25 GHz; TDP: 15W Intel Atom x7425E quad-core processor @ 1.5 / 3.4 GHz (Turbo) with 6 MB cache, 24 EU Intel UHD Graphics up to 1.00 GHz; TDP: 12W Intel Processor N97 quad-core processor @ 2.0 / 3.6 GHz […]

August 21, 2023August 21, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

MediaPipe for Raspberry Pi released – No-code/low-code on-device machine learning solutions

Google has just released MediaPipe Solutions for no-code/low-code on-device machine learning for the Raspberry Pi (and an iOS SDK) following the official release in May for Android, web, and Python, but it’s been years in the making as we first wrote about the MediaPipe project back in December 2019. The Raspberry Pi port is an update to the Python SDK and supports audio classification, face landmark detection, object detection, and various natural language processing tasks. MediaPipe Solutions consists of three components: MediaPipe Tasks (low-code) to create and deploy custom end-to-end ML solution pipelines using cross-platform APIs and libraries MediaPipe Model Maker (low-code) to create custom ML models MediaPipe Studio (no-code) webpage to create, evaluate, debug, benchmark, prototype, and deploy production-level solutions. You can try it out directly in your web browser at least on PC and I could quickly test the object detection on Ubuntu 22.04. MediaPipe Tasks can be […]