Linux News - Page 228 of 482 - CNX Software

May 29, 2019 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Intrinsyc Launches Open-Q 212A SoM & Qualcomm Home Hub 300 Development Kit

Intrinsyc has just announced the availability of the Open-Q 212A system-on-module and Home Hub Development Kit based on Qualcomm Home Hub 300 Platform powered by the Qualcomm APQ8009 SoC better known as Snapdragon 212. The module supports multi-mic beamforming, audio canceling, HiFi audio, as well as WiFi 5 and Bluetooth connectivity, which makes it suitable for integration into cost-sensitive home hub, home automation, and smart audio devices featuring voice control, AI, and wireless connectivity. Open-Q 212A system-on- module Open-Q 212A SoM, which should not be confused with the company’s Open-Q 212 SBC released two years ago, features for the following specifications: SoC – Qualcomm Snapdragon 212 processor (APQ8009) quad-core Arm Cortex-A7 @ 1.267GHz with Adreno 304 GPU, Qualcomm QDSP6 DSP System Memory – 1GB LPDDR3 RAM Storage – 4GB eMMC Flash storage Video – 720p@30fps playback; up to 720p playback with H.264 (AVC) and H.265 (HEVC); up to 720p H.264 […]

May 26, 2019May 26, 2019 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Allwinner V316 Processor is made for Low-Cost “True” 4K 30 FPS Cameras

Allwinner V-Series processors target camera applications, especially sports and action cameras, and we’ve already coverd Allwinner V3 single core Arm Cortex-A7 processor for 1080p60 / 4K15 cameras, as well as Allwinner V5 quad core Cortex-A7 processor for 4K30 cameras enhanced with artificial intelligence capabilities. Allwinner has showcased and/or unveiled more Cortex-A7 processors at CES Asia 2019 such as Allwinner R328 for voice applications, or Allwinner T7 for automotive dashboards, as well as a new camera processor called Allwinner V316 with two Arm Cortex-A7 cores, apparently the same 4K @ 30 fps H.265/H.264 encoder as in V5, but without AI engine architecture. Allwinner V316 key features and preliminary specifications: CPU – Dual core Arm Cortex-A7 processor @ 1.2 GHz ISP – HawkView 6.0 image processor with 2D/3D intelligent noise reduction, frame width dynamic synthesis, sharpening enhancement, specific color enhancement and other image pre-processing techniques Video – 4K Smart H.264/H.265 video encoder […]

May 23, 2019 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Xilinx Arm FPGA, Snapdragon SoM’s, and Wandboard SBC Field Trip to Space

SpaceX Starlink Satellites Falcon Rocket

Most embedded systems are used here on planet earth, but some do take off heading for space, and this week I come accross two separate projects leveraging Arm processors and FPGAs, as well as Ubuntu/ROS and Android operating systems: SpaceX Starlink communication satellites and Astrobee robots roaming in the international space station (ISS) SpaceX Starlink Satellites with Xilinx Ultrascale+ Arm + FPGA SoC SpaceX is about to launch a cloud of 60 Starlink communication satellites that aims to provide internet communication anywhere in the world. That’s just a start as eventually the plan is to get up to 12,000 of those satellites. Usually, we would not know many technical details about the satellites, but as one reader pointed out (Thanks Lawrence!), a Reddit thread about the launch, also pointed to a NASA document revealing the satellites are powered by Xilinx Ultrascale+ quad core Cortex-A53 processor with FPGA fabric. Milestone 2 […]

May 22, 2019 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Onion Omega2 LTE Board Combines WiFi, 4G LTE and GNSS Connectivity (Crowdfunding)

Onion has launched several compact OpenWrt WiFi boards for IoT projects over the years starting with their Onion Omega board in 2015, and the latest so far being Onion Omega2 Pro with a massive 8GB storage. The company has now launched a new model with 4G LTE connectivity called Onion Omega2 LTE, based on Omega2S+ module, and also featuring GNSS global satellite positioning capability. Onion Omega2 LTE specifications: WiFi Module – Onion Omega2S+ IoT computer module with MediaTek MT7688 MIPS CPU @ 580 MHz, 128 MB RAM, 32 MB storage Cellular and GNS Module – Quectel EC25 LTE Cat 4 modem that delivers 150 Mbps downlink and 50 Mbps uplink data rates, provided either for North America or global markets External Storage – MicroSD card slot up to 2 TB (once such cards become available…) Connectivity 2.4 GHz 802.11 b/g/n Wi-Fi 4 + onboard 2 dBi direction chip antenna & […]

May 20, 2019May 31, 2019 by Jean-Luc Aufranc (CNXSoft) - 30 Comments

Top 5 Raspberry Pi Alternatives in 2019

The Raspberry Pi boards are great little Arm Linux SBC’s with a low price and great community support. But the Broadcom processors used in the boards are also fairly old so they may not be suitable for some projects. If your application needs or would benefit from modern features such as memory over 1GB RAM, an actual Gigabit Ethernet port, USB 3.0 port(s), 4K video output, or H.265 hardware video decoding you’ll have to find Raspberry Pi alternatives. I’ll point out 5 alternative single board computers in this post from the point of view of existing Raspberry Pi users, who will want good software support and a board with the same or similar form factor as Raspberry Pi 3 Model B/B+ in order to reuse their add-on boards and/or enclosures. Price has to be competitive as well, so nothing above $80 will be mentioned. The boards are not listed in […]

May 18, 2019 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Embedded Linux Conference & Open Source Summit 2019 Schedule

In the last few years, I covered the Embedded Linux Conference and IoT Summit schedules since both were happening at the same time and in the same location. But the Linux Foundation have recently announced the Embedded Linux Conference will combine with the Open Source Summit, so the IoT Summit appears to have been phased out. The full schedule for the events taking place on August 21 – 23, 2019 at the Hilton San Diego Bayfront, USA, has also been released, so I’ll create a virtual schedule with some of the sessions most relevant to this blog. Wednesday August 21, 2019 11:30 – 12:05 – What’s New with U-Boot? by Simon Glass, Google LLC U-Boot is a widely used bootloader in embedded systems. Many users are unaware of the wide feature-set of U-Boot, particularly features added in the last few years. This talk aims to bring users (and prospective users) […]

May 16, 2019May 16, 2019 by Jean-Luc Aufranc (CNXSoft) - 38 Comments

Blueendless X3 Networked “HDD NAS Case” Runs Ubuntu on Marvell ARMADA 3720 SoC

We’ve previously covered inexpensive Kimax’ Ethernet & WiFi HDD enclosures for 2.5″ SATA drives, powered by MediaTek processor and running OpenWrt. If you need something more powerful and versatile yet still affordable, the easiest way is now likely to go with SBC based solutions such as ODROID-HC1/HC2 or dual SATA NAS enclosure for RockPro64. There may be another interesting option, as I’ve just been informed about another model of those networked HDD enclosure called Blueendless X3 “HDD NAS case” with Ethernet only (no WiFi), and that is equipped with the same Marvel ARMADA 3720 dual core Cortex-A53 processor as found in Marvell ESPRESSOBin board. Blueendless X3 specifications: SoC – Marvell ARMADA 3720 (88F3720) dual core Cortex-A53 processor @ up to 1.1 GHz System Memory – 512 MB DDR3 Storage – 16GB eMMC flash for OS, SATA 3.0 interface for 2.5″ drives based on ASMedia ASM1092R port multiplier Networking – 1x […]

May 15, 2019 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

ToyBrick RK3399Pro Board Shown to Outperform Jetson Nano SBC

NVIDIA created a lot of buzz when they released $99 Jetson Nano SBC featuring a 128-core Maxwell GPU, and said to deliver 472 GFLOPS of compute performance for running modern AI workloads with a power consumption of around 5 watts. But Jetson Nano is not the only low cost platform to deliver high performance at low power for AI workloads, as for example Rockchip RK3399Pro (RK1808 NPU) found in boards such as Toybrick RK3399Pro is said to deliver 3 TOPS for INT8, 300 GOPS for INT16, and 100 GOPS for FP16 inferences. Those operations per second numbers can be confusing and misleading, so it’s important to check out the performance of actual neural network models, and Rockchip did provide some RK3399Pro benchmarks last year for Inception V3, ResNet34 and VGG16 models comparing the results to Apple A11, Huawei Kirin 970, and NVIDIA Jetson TX2. However, ideally you’d want result from […]