Fanless Linux embedded system makes a compact IoT gateway

ICP Germany has recently introduced the MiTAC ME1-8MD series family of compact, fanless Linux embedded systems powered by NXP i.MX 8M processor and designed to be used as IoT gateways, data acquisition and processing systems, and mini servers. Three models have been launched with a choice of dual or quad-core processors, up to 4GB LPDDR4 RAM, and 32GB eMMC flash storage. The embedded computers also come with up to two Ethernet ports, support up to two displays, and include an internal Raspberry Pi compatible 40 pin GPIO header. MiTAC ME1-8MD specifications and key features: SoC – NXP i.MX 8M Dual or Quad with two or four Cortex-A53 @ 1.3GHz, Cortex-M4 MCU, Vivante GC7000 Lite GPU, and 4K video processing unit System Memory – 1 to 4GB LPDDR4 800 Mhz RAM Storage – 8, 16, or 32GB eMMC flash, 1x MicroSD card slot up to 256GB Video Output HDMI 2.0 Optional DisplayPort 1.2 Audio – Realtek ALC5660 audio codec, but no […]

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Hantro H1 hardware accelerated video encoding support in mainline Linux

With the increasing need for video encoding, there are some breakthrough developments in hardware-accelerated video encoding for Linux. Bootlin has been working on the implementation of Hantro H1 hardware accelerated video encoding to support H.264 encoding on Linux which follows the company’s work on the previously-released open-source VPU driver for Allwinner processors. Hantro H1 Hardware Hantro H1 is a common hardware H.264 encoder, it can also do VP8 and JPEG. It is found in a few ARM SoCs including a lot of Rockchip (RK3288, RK3328, RK3399, PX30, RK1808) and NXP (i.MX 8M Mini). Depending on the version, it can support up to 1080p at 30 or 60 fps. Here we can see different blocks used for encoding. Hantro H1 is a stateless hardware implementation which means it has no microcontroller or firmware running. As can be seen in the diagram, it has a pre-processor that can do things like cropping, rotation, scaling, stabilization, and CSC. It will produce slice NALUs […]

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SolidRun launches i.MX 8M Plus SOM and devkit for AI/ML applications

SolidRun already offers NXP based solutions with AI accelerators through products such as SolidRun i.MX 8M Mini SoM with Gyrfalcon Lightspeeur 2803S AI accelerator, or Janux GS31 Edge AI server with NXP LX2160A networking SoC, various i.MX 8M SoCs and up to 128 Gyrfalcon accelerators. All those solutions are based on one or more external Gyrfalcon AI chips, but earlier this year, NXP introduced i.MX 8M Plus SoC with a built-in 2.3 TOPS neural processing unit (NPU), and now SolidRun has just unveiled the SolidRun i.MX 8M Plus SoM with the processor together with development kits based on HummingBoard carrier boards. Specifications: SoC – NXP i.MX 8M Plus Dual or Quad with dual or quad-core Arm Cortex-A53 processor @1.6 GHz (industrial) / 1.8 GHz (commercial), with Arm Cortex-M7 up to 800MHz, Vivante GC7000UL 3G GPU (Vulkan, OpenGL ES 3.1, OpenCL 1.2), 2.3 TOPS NPU, 1080p60 H.264/H.265 video encoder, 1080p60 video decoder (H.265, H.264, VP9, VP8), Candence HiFi4 audio DSP System […]

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Reading Vehicle OBD-II data through CAN within a containerized application in Embedded Linux

CNXSoft: This is a guest about OBD-II and CAN support in embedded Linux by Andre Márcio de Lima Curvello, Sr. FAE and Technical Evangelist, Toradex A connected world makes it possible to track your online orders being shipped to your home through your smartphone in real-time, and getting information about your vehicle such as tire pressure, outside temperature, and even details like if a lamp is broken – has begun to be possible via smartphones in modern vehicle models. But behind the magic of knowing where the truck carrying your package is at all times and other details of the vehicle, there is a very complex world made of embedded devices ‘talking’ to each other so the information makes its way from the device to you. In this article, you will learn how to create an application to communicate with a vehicle through CAN via the OBD-II standard. We use modern software containerization with Docker and Torizon, the state-of-the-art Industrial Embedded […]

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Embedded Artists Unveils iMX RT1064 uCOM with WiFi 5 & Bluetooth 5.1 Module

Embedded Artists have recently introduced iMX RT1064 uCOM system-on-module powered by NXP i.MX RT1064 Cortex-M7 crossover MCU clocked at 600 MHz with 1MB SRAM and 4GB flash on-chip, as well as 32MB SDRAM, and equipped with an optional WiFI 5 and Bluetooth 5.1 module from Murata. iMX RT1064 uCOM technical specifications: SoC – NXP i.MX RT1064 Arm Cortex-M7 @ up to 600 MHz with 1MB SRAM, 4MB on-chip QSPI flash, 2D graphics acceleration engine System Memory – 32 MB SDRAM Storage – Optional additional 4GB to 32GB eMMC flash and/or SQPI flash Wireless – Optional Murata Type 1ZM dual-band 802.11b/g/n/ac WiFi 5 and Bluetooth 5.1 module based on NXP 88W8987 2x DF40C-100 board-to-board connectors: Storage – 2x USDHC Display I/F – 24-bit parallel RGB up to 1366 x 768 pixels Camera – Parallel CSI Audio – 3x SAI, SPDIF Connectivity – 10/100M Ethernet (requires PHY on carrier board) USB – 2x HS USB 2.0 OTG FlexIO – 2 blocks 2x […]

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Teensy 4.1 Cortex-M7 Board Gets Marlin Firmware and OpenPnP Breakout Board

Teensy 4.0 and Teensy 4.1 are some of the most powerful microcontroller-class boards you’ll find on the market thanks to NXP i.MX RT1062 Arm Cortex-M7 crossover processor clocked at up to 600 MHz, and there won’t break the bank are PJRC sells those for $20 and up on their own store or Amazon. If you’re into 3D printers, CNC, or pick-and-place machines, you’ll be glad to learn Teensy 4.1 board is the first Arm Cortex-M7 board to support Marlin 2.0 firmware, and a person nicknamed CrazzyFrenchDud is developing PeeNaPle breakout board for Teensy 4.1 to work with OpenPnP open-source software. The initial commit to Marlin firmware was made on September 10 for both Teensy 4.0 and 4.1 boards, but the title was changed to Teensy 4.1 only since Teensy 4.0 is not supported at this time, and may not be suitable for many 3D printers due to a lack of pins. Teensy 4.1 is much faster than existing boards support […]

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Linux 5.9 Release – Main Changes, Arm, MIPS & RISC-V Architectures

Linus Torvalds has just announced the release of Linux 5.9 on lkml: Ok, so I’ll be honest – I had hoped for quite a bit fewer changes this last week, but at the same time there doesn’t really seem to be anything particularly scary in here. It’s just more commits and more lines changed than I would have wished for. The bulk of this is the networking fixes that I already mentioned as being pending in the rc8 release notes last weekend. In fact, about half the patch (and probably more of the number of commits) is from the networking stuff (both drivers and elsewhere). Outside of that, the most visible thing is a reinstatement of the fbdev amba-clcd driver – that’s a noticeable patch, but it’s basically just mainly a revert. The rest is really really tiny (mostly some other minor driver updates, but some filesystem and architecture fixes too). There’s just a bit more of those kinds of […]

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Gateworks Venice Industrial IoT SBC Family Features Dual Ethernet and mPCIe Sockets

US-based Gateworks is known for its Ventana and Newport embedded networking single board computers, and the company has now introduced a third family with Venice SBC family based on NXP i.MX 8M Mini SoC with support for multimedia capabilities through MIPI-DSI, MIPI-CSI and I2S Audio headers, and targetting industrial IoT with dual Ethernet, and mini PCIe expansion sockets that can be used for 802.11ax/ac/b/g/n WiFi, 5G/4G/3G/CATM1 cellular modems, and more. The company plans to introduce four different models with GW7100, GW7200, GW7300, and GW7400 with an increase in size and feature set for each model, and mechanically compatible with previous Gateworks families. But at launch, only GW7300 SBC is available so we’ll focus our reporting on this particular model. Gateworks GW7300 specifications: SoC – NXP i.MX 8M Mini single, dual or quad-core Arm Cortex-A53 processor @ up to 1.6GHz, with Arm Cortex-M4 at 400+MHz, 3D GPU (OpenGL ES 2.0), 2D GPU, and 1080p VPU System Memory – Up to 4GB […]

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