Linux News - Page 15 of 457 - CNX Software

July 26, 2024 by Debashis Das - 2 Comments

iBASE IB961 3.5-inch SBC features 13th Gen Intel Core processors, dual 2.5GbE LAN, three M.2 sockets

The iBASE IB961 from FORTEC Integrated (previously known as Distec) is a 3.5-inch Single Board Computer (SBC) built around 13th Gen Intel Core processors. The board can support up to 32GB of DDR5-5200 non-ECC memory via 1x SO-DIMM socket and features dual DisplayPort (1.2), eDP, and LVDS interfaces along with dual 2.5GbE Ethernet for connectivity. Additionally, the SBC also includes 3x M.2 slots (M-Key, E-Key, B-Key) for expanded storage and 5G cellular communication. These features make the device useful for applications like automation, edge computing, transportation, digital signage, and kiosks/ATMs. iBASE is well known for its SBCs and mini PCs and previously we have written about their products including the IBASE ISR500 fanless Edge AI computer, the IBASE 3.5-inch SBC with AMD Ryzen Embedded V2000 processor, the IBASE IBR215 Pico-ITX SBC. Additionally, we have written about similar SBCs and Mini PCs with 13th-gen Raptor Lake SoC including the GEEKOM GT13 […]

July 25, 2024July 26, 2024 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

IP68-rated Rockchip RK3588 embedded mini PC works underwater

Mekotronics R58X-IP68 is a Rockchip RK3588-powered embedded mini PC with an IP68 ingress protection rating that makes it waterproof and even allows it to run submerged underwater. We’ve previously covered IP68 or IP67-rated hardware platforms like IoT gateways, thermal cameras, telemetry modules, and more. Those often rely on M12 or M8 connectors for waterproofness, but the Mekotronics R58X-IP68 relies on regular connectors housed in a waterproof socket and cable. Mekotronics R58X-IP68 specifications: SoC – Rockchip RK3588 CPU – Octa-core processor with four Cortex-A76 cores @ 2.4 GHz, four Cortex-A55 cores @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU VPU Video Decoder 8Kp60 H.265 VP9, AVS2 8Kp30 H.264 AVC/MVC 4Kp60 AV1 1080p60 MPEG-2, MPEG-1, VC-1, VP8 Video Encoder – Real-time H.265/H.264 video encoding up to 8Kp30, also usable as a multi-channel encoder in parallel (at lower resolution) AI Accelerator – 6 TOPS NPU System Memory – 4GB, 8GB, or 16GB […]

July 24, 2024 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Remote.It adds Bluetooth assisted WiFi configuration to Raspberry Pi SBC’s

Remote.It, a company providing remote access services, has released an open-source project to enable Raspberry Pi WiFi network configuration using Bluetooth (BLE), so users can easily configure WiFi on the board by simply using their smartphone. Configuring WiFi on a Raspberry Pi usually involves either: Manual configuration – The user connects a monitor and keyboard to the Raspberry Pi to configure the wireless network directly on the device. Pre-configured SD cards, NVMe SSDs, or USB drives – The WiFi ESSID and password can be set in Raspberry Pi USB imager, and the Raspberry Pi will automatically connect to the network at boot time. That’s quick, but less flexible since the credentials can’t be modified after deployment, and it only works when using a single wireless network. Remote.It offers a third option for WiFi provisioning using Bluetooth LE. The Raspberry Pi can run headless or fully enclosed into a product, and […]

July 23, 2024July 23, 2024 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

tinySniffer WiFi-connected USB sniffer is based on NanoPi NEO Air SBC

TinySniffer is a USB sniffer based on the Allwinner H3-powered NanoPi Neo Air SBC, designed to capture USB 1.x and 2.0 packets remotely, and whose captured data is compatible with the popular Wireshark packet analyzer tool. Wireshark can already be used to capture USB packets on its own and I reverse-engineered a USB capture video solution that way in the past, but this method has some limitations, for instance, it does not capture some low-level USB packets, in which case a hardware USB sniffer like Total Phase Beagle USB, the PhyWhisperer USB, or the tinySniffer is required. The micro USB OTG port of the NanoPi NEO Air SBC is connected to the host computer and the company added a USB 2.0 Type-A port connected to the USB interface on the GPIO header to connect a device under test such as a USB keyboard, a USB Ethernet dongle, a USB printer, […]

July 23, 2024July 23, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

SagireEdge AI 600 SMARC SoM and devkit feature Qualcomm QCS6490 AIoT processor for Edge AI applications

Sagire AI’s SagireEdge AI 600 is a SMARC-compliant system-on-module (SoM) and a development kit based on Qualcomm QCS6490 octa-core Cortex-A78/A55 IoT processor and designed for Edge AI applications. The module comes with 8GB LPDDR5 and 128GB UFS storage, a WiFi 6E and Bluetooth 5.5 wireless module, a CAN Bus controller, and on-module camera and audio input connectors. Its MXM 3.0 edge connector exposes additional camera interfaces, a MIPI DSI display interface, PCIe Gen3 x2, gigabit Ethernet, a few USB interfaces, and a range of low-speed I/Os. SagireEdge AI 600 SoM specifications: SoC – Qualcomm QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – […]

July 22, 2024July 25, 2024 by Sponsored Post - No Comments

Save $150 or even £200 on GEEKOM A8 Ryzen 9 8945HS mini PC! (sponsored)

GEEKOM has yet another discount for us with the AMD Ryzen 9 8945HS-powered GEEKOM A8 mini PC with 32GB DDR5 memory and a 2TB NVMe SSD now offered for $699 on GEEKOM US and £699 on GEEKOM UK or savings of respectively $150 and £200 when using the coupon code CNXA8OFF. The mini-computer supports up to four independent 4K displays through HDMI and USB-C ports, fast networking with 2.5GbE and WiFi 6E, and plenty of expansion thanks to six USB ports including a USB4 port capable of 40 Gbps speeds. GEEKOM A8 specifications: SoC – AMD Ryzen 9 8945HS CPU – 8-core/16-thread processor up to 4.0GHz / 5.2 GHz (Turbo) Cache – 16MB GPU – AMD Radeon 780M Graphics AI – NPU performance: 16 TOPS, total: 39 TOPS TDP: 45W System Memory – 32GB dual-channel DDR5-5600 SODIMM, up to 64GB Storage 2TB M.2 2280 NVMe SSD (PCIe Gen4 x4) Full-size SD […]

July 19, 2024July 20, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

Texas Instruments AM6232/AM6254-powered SBC and industrial IoT gateway offered with a 20-year lifespan

AAEON PICO-AM62 TI AM62x Sitara PIco ITX SBC

AAEON’s PICO-AM62 and SRG-AM62 are respectively a single board computer (SBC) and an industrial IoT gateway powered by Texas Instruments AM6232 or AM6254 Sitara Arm Cortex-A53/M4 SoC, designed to operate within the -40°C to 85°C temperature range, and offered with a 20-year lifespan. The SRG-AM62 gateway simply houses the PICO-AM62 pico-ITX SBC within a metal case so both offer dual gigabit Ethernet, HDMI 1.4 port, and two USB 2.0 as well as communication interfaces such as RS-232/422/485 and CAN Bus. Designed to be operated in industrial settings, the systems support a wide 9V to 36V input voltage range. PICO-AM62 SBC and SRG-AM62 gateway specifications: SoC – Texas Instruments AM623x either AM6232 Sitara with dual-core Arm Cortex-A53 processor @ up to 1.4 GHz, Cortex-M4F real-time core @ 400 MHz, no 3D GPU AM6254 Sitara with quad-core Arm Cortex-A53 processor @ up to 1.4 GHz, Cortex-M4F real-time core @ 400 MHz, Imagination […]

July 19, 2024July 19, 2024 by Tomisin Olujinmi - No Comments

Femtosense introduces the AI-ADAM-100 system-in-package for affordable, efficient AI-based voice processing on the edge

Femtosense’s newest release, the AI-ADAM-100, combines a low-power Arm Cortex M0+ microcontroller from ABOV Semiconductor with the Femtosense Sparse Processing Unit (SPU), an in-house neural processing unit. This combination powers AI voice processing and cleanup capabilities on edge devices. It leverages sparsity techniques to ensure that models can run on edge devices without intensive processing. Sparsity in AI refers to the presence of zeroes or non-zero values in the matrices and tensors used in machine learning models. No computation is required for these zero weights, heavily reducing processing requirements. The Femtosense AI-ADAM-100 aims to bring voice control to various devices such as home appliances, hearing aids, industrial headsets, and consumer earbuds. These appliances can implement voice user interfaces that allow users to talk naturally in their own words. On-device voice cleanup functionality would reduce infrastructure costs and improve the accuracy of the data sent to the cloud. The Femtosense SiP […]