Gateworks GW7200 Dual Gigabit Ethernet industrial SBC, also supports WiFi, Cellular, and GPS

Gateworks GW7200 dual GbE industrial SBC

Gateworks GW7200 is a versatile dual Gigabit Ethernet industrial single board computer with an NXP i.MX8M Mini processor, 1GB to 4GB of RAM, mini PCIe expansion sockets for wireless connectivity, serial interfaces, industrial temperature range, wide range input voltage, and long-term supply. The board should be a better match to projects with industrial requirements, for example, an industrial IoT gateway than lower-cost dual GbE alternatives such as NanoPi R2S or Raspberry Pi CM4 IoT Router Carrier Board Mini. Gateworks GW7200 specifications: SoC – NXP i.MX 8M Mini quad-core processor @ 1.6GHz with Vivante 2D & 3D GPUs System Memory – 1GB to 4GB DDR4-2133 SDRAM Memory Storage – 8GB to 64GB eMMC flash, MicroSD card slot, serial configuration EEPROM Connectivity Dual GbE Ethernet ports supporting 802.3at/af and passive PoE Optional 802.11ac/n WiFi 5/4 via mini PCIe socket Optional  Cellular (Cat M1, 4G, 5G) via mini PCIe socket + NanoSIM card […]

Huawei Qingyun L410 Linux laptop is powered by Kirin 990 Arm processor

Huawei Qingyun L410 Arm Linux laptop

While it’s already possible to purchase an Arm Linux laptop like PineBook Pro, the Rockchip RK3399 processor, and 4GB RAM may be limiting to some, especially when wanting to multitask. But most likely out of necessity, Huawei has unveiled a more powerful Arm Linux laptop with Huawei Qingyun L410 powered by a 7nm Kirin 990 octa-core Cortex A76/A55 processor, coupled with 8GB RAM, up to 512GB of storage, and a 14-inch display. Huawei Qingyun L410(L410 KLVU-WDU0) preliminary specifications: SoC – Hisilicon Kirin 990 octa-core processor with 2x Cortex-A76 @ 2.86GHz, 2x Cortex-A76 @ 2.09GHz, 4x Cortex A55 @ 1.86GHz, Arm Mali-G76MP16 @ 700 MHz, DaVinci NPU System Memory – 8GB LPDDR4-4266 Storage – Up to 512 UFS of storage (SSD or UFS 3.0 TBC) Display – 14-inch 2K display with a 3:2 aspect ratio Camera – “hidden camera” Video – 4K 60fps video support Misc – Fingerprint sensor Dimensions – […]

JingPad A1 Arm Linux 2-in-1 tablet can run Android apps (Crowdfunding)

JingPad A1 Linux Tablet

If you are looking for an Arm Linux tablet option are limited with, for instance, the Allwinner A64 powered 10.1-inch PineTab tablet or the CutiePi tablet with a Raspberry Pi CM4 module. If you’d like more performance, the upcoming JingPad A1 2-in-1 tablet might be an option worth looking into. The 11-inch 2K tablet features an octa-core Cortex-A75/A55 processor, coupled with 6GB RAM and 128GB storage, and can be transformed into a laptop with an optional detachable keyboard. JingPad A1 runs the company’s JingOS optimized for tablets, and which also happens to be able to run Android apps. JingPad A1 specifications: SoC – Unnamed octa-core processor with 4x Arm Cortex-A75 CPU cores @ 2 GHz, 4x Arm Cortex-A55 CPU cores @ 1.8 GHz, Imagination PowerVR GM9446 GPU @ 800 MHz. (I can’t find an exact match, but if it looks similar to MediaTek Helio P90 except the configuration is 2x […]

Microwave oven runs Linux on Rockchip RK3308 for voice control

Linux microwave oven

Linux is everywhere, even on Mars, but if there’s one home appliance I did not expect to find the open-source operating system, it would have been the microwave oven. But Farberware thinks differently and launched the FM11VABK microwave oven running Linux on a Rockchip RK3308 quad-core Cortex-A35 processor to handle Sensory’s TrulyHandsfree voice stack enable voice-assistant features on the Linux microwave oven. I don’t think I need to go through the full specs of the 1,100 Watts microwave oven and I’ll focus on the voice assistant instead.  People who worry about connecting everything to the Internet will be glad to know Farberware FM11VABK does not require an Internet connection or a mobile app for control. Everything is processed locally through TrulyHandsfree technology without sacrificing privacy, and with faster response times. Sensory offers its “Custom Domain-Specific Voice Assistant” service to any manufacturers of home appliances, vehicle infotainment systems, set-top boxes, home […]

PineDio indoor LoRa gateway to combine Pine A64-LTS SBC with RAK2287 LoRaWAN concentrator module

Pine64 indoor LoRa gateway

RAKwireless has offered Raspberry Pi-based indoor LoRaWAN gateways for development/evaluation purposes for several years, including the more recent RAK7246 LoRaWAN developer gateway equipped with Raspberry Pi Zero W SBC. But there’s will soon be another option, also not directly from RAKwireless, as Pine64 PineDio indoor LoRa gateway will feature RAK2287 LoRaWAN concentrator module connected to Pine A64-LTS single board computer via a custom-designed adapter board. PineDio indoor LoRa gateway preliminary specifications: SoC – Allwinner A64 quad-core Arm Cortex A53 processor @ 1.0 GHz with Mali-400MP2 GPU System Memory – Up to 2GB LPDDR3 Storage – 128Mb SPI boot Flash, MicroSD card slot, optional eMMC flash module Video Output – HDMI 1.4 up to 4K resolution @ 30 Hz Connectivity Gigabit Ethernet Optional WiFi & Bluetooth module LoRaWAN via RAK2287 mini PCIe concentrator module based on Semtech SX1302 with support for RU864, IN865, EU868, AU915, US915, KR920, AS923; external antenna GNSS […]

SigmaStar SSC33x Camera SoCs are pin-to-pin compatible with Hisilicon Hi3516/Hi3518 processors

SSC336Q development kit

We’ve been writing a fair amount of posts about SigmaStar SSD201/SSD202D processors for smart displays in recent times. But the company also has various camera SoC’s with SSC333, SSC335, SSC336, SSC337, SS338, and SSC339 parts. Those processors feature one or two Cortex-A7 core, embedded RAM, as well as an optional AI accelerator called DLA (Deep Learning Accelerator). The chips manufactured using a 28nm or 22nm process, with the latter being used for parts with the AI accelerator. Most of the Sigmastar SCC33x processors also happen to be pin-to-pin compatible with HiSilicon Hi3516 or Hi3518 SoC that are found in a wide range of IP cameras. Let’s take SSC336D/SSC336Q processor as an example since it comes with the AI accelerator and we have a datasheet courtesy of linux-chenxing.com. SigmaStar SSC336D/SSC336Q camera SoC key features & specifications: CPU – Dual-core Arm Cortex-A7 processor @ 1 GHz with Neon and FPU Embedded Memory […]

Imago “VisionAI” Smart AI Camera supports Tensorflow Lite & AutoML Vision Edge

Imago VisionAI Smart AI Camera

Imago Technologies GmbH “VisionAI” is a programmable Smart AI camera that combines a quad-core Cortex-A53 processor @ 1.8 GHz together with Google Edge TPU, and designed for embedded image processing applications in the fields of AI, Deep Learning, and Machine Learning. The smart camera supports TensorFlow Lite and AutoML Vision Edge frameworks, and is suited for tasks such as pattern recognition, classification, anomaly or defect detection in inspection applications, code reading, and other machine vision applications. Imago VisionAI (VisionSensor PV3 AI) camera specifications: SoC – Unnamed quad-core Arm Cortex-A53 processor @ 1.8 GHz (likely NXP i.MX 8M Mini) AI Accelerator – Google Edge TPU with up to 4 TOPS of AI processing power System Memory – 2 GB DDR4 RAM Storage – MicroSD card up to 32GB Connectivity – Gigabit Ethernet M12 connector Camera 1/1.8” 5MP mono or color CMOS sensor with 2560 × 1936 pixels resolution, up to 65 […]

RISC-V International to give away 1,000 RISC-V development boards

RISC-V development board giveaway

The best way for a new platform to get good software support is to bring hardware into the hands of developers. That’s exactly what RISC-V International is doing by inviting developers to sign up for a RISC-V developer board sponsored by RISC-V and contributing members. There are 1,000 boards on offer with 1GB to 16GB RAM depending on the target project from five companies and organizations namely Allwinner, Beagleboard.org, SiFive, Microchip Technology (previously Microsemi), and RIOS. Here are the stated goals of the giveaway: Spur innovation Enable new opportunities for the next generation of developers to work with the RISC-V ISA Provide a platform For testing To write programs that run on RISC-V Develop software Integrate existing software stacks Optimize ecosystem software Share feedback on the product such as ease to integrate software stacks, develop and test extensions, etc. The company did not provide an exact list of development board […]

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