Category: Operating Systems

Operating Systems used in Embedded Devices

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on GL.iNet Comet (GL-RM1) low-cost KVM-over-IP solution supports up to 2K resolution

GL.iNet Comet (GL-RM1) low-cost KVM-over-IP solution supports up to 2K resolution

GL.iNet Comet GL-RM1

GL.iNet has entered the low-cost KVM-over-IP market with the Comet (GL-RM1) remote KVM to remotely control any computer over an Ethernet connection with an HDMI port for video and audio input and a USB-C port for keyboard and mouse emulation. It’s an alternative to the Sipeed NanoKVM (Cube) with a more powerful quad-core processor, 1GB RAM, an 8GB eMMc flash, a gigabit Ethernet port, and support for up to 2K (2160×1440) resolution at 60 FPS. Comet GL-RM1 specifications: SoC – Quad-core CPU @ 1.5 GHz System Memory – 1GB DDR3 Storage – 8GB eMMC flash Video & Audio Input – HDMI port up to 2K @ 60 FPS (2160 x 1440 @ 60 FPS); H.264 encodding with 30 to 60ms latency Networking – Gigabit Ethernet RJ45 port USB USB 2.0 Type-A port to connect peripherals like a Fingerbot or ATX power control board USB 2.0 Type-C port for mouse/keyboard emulation […]

Posted on by Debashis Das - 1 Comment on Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

reComputer J3010B Jetson Orin Nano Edge AI Computer

Seeed Studio’s reComputer J3010B Edge AI PC is built around the NVIDIA Jetson Orin Nano module, which offers up to 67 TOPS AI performance (67 TOPS in super mode), with up to 8GB LPDDR5 memory, and a pre-installed 128GB NVMe SSD for storage. The mini PC features two USB 3.2 ports, HDMI 2.1 video output, a Gigabit Ethernet jack, M.2 slots for SSD and Wi-Fi, a mini PCIe socket for LTE, a 40-pin GPIO header, and a 12-pin UART header. With a compact aluminum case and active cooling, it has an operating temperature range of -10 to 60°C and can be powered via a DC 9-19V input. These features make this device useful for AI, IoT, and edge computing applications, such as smart lampposts for traffic monitoring, EV battery swapping and charging systems, smart recycling centers for waste management, and more. reComputer J3010B specifications: SoM options NVIDIA Jetson Orin Nano […]

Posted on by Debashis Das - No Comments on IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMDT V2N low power AI SBC

IMD Technologies has recently introduced the IMDT V2N SoM based on the newly launched Renesas RZ/V2N low-power AI MPU and its SBC carrier board designed for robotics, smart cities, industrial automation, and IoT applications. The SoM ships with 8GB RAM and 32GB eMMC flash, and supports various interfaces through B2B connectors including two 4-lane MIPI CSI-2 interfaces, a MIPI DSI display interface, and more. The SBC supports MIPI DSI or HDMI video output, dual GbE, WiFi 4 and Bluetooth 5.2,  as well as expansion capabilities through M.2 sockets. IMDT V2N SBC specifications: IMDT V2N SoM SoC – Renesas RZ/V2N Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, max frequency 1.26 GHz) Neon, FPU, MMU, and cryptographic extension (for security models) Armv8-A architecture System Manager […]

Posted on by Debashis Das - 6 Comments on Waveshare CM5-NANO-B is a compact Raspberry Pi CM5 carrier board with the same dimensions as the Compute Module 5

Waveshare CM5-NANO-B is a compact Raspberry Pi CM5 carrier board with the same dimensions as the Compute Module 5

Waveshare CM5 NANO B Raspberry Pi CM5 carrier bord with CM5

Waveshare has just released the CM5-NANO-B, a compact Raspberry Pi CM5 carrier board, with the same dimensions as the Compute Module 5 and multiple peripheral interfaces making it suitable for industrial automation, IoT, embedded computing, AI development, and other space-constrained applications. Key features include a Gigabit Ethernet RJ45 port, an unpopulated 40-pin Raspberry Pi GPIO header, a USB 3.2 Gen1 Type-A port, dual MIPI 4-lane interfaces, a mini HDMI port supporting 4K output, a USB audio 3.5mm jack, a microSD card slot, and a 16-pin PCIe Gen2/3 x1 connector. Power is supplied via a USB-C port (5V/5A), and additional features include an RTC battery header, a 4-pin PWM fan header, a dual-color LED indicator, and user-configurable buttons. Waveshare CM5-NANO-B specifications: Compatibility – Raspberry Pi Compute Module 5 (CM5) Storage – MicroSD card slot (for Raspberry Pi CM5 Lite) Display Mini HDMI output up to 4K resolution Up to 2x MIPI […]

Posted on by Debashis Das - No Comments on Jetway F35-ASL1 – A 3.5-inch Intel Atom x7433RE SBC with dual 2.5GbE, six COM ports, and triple 4K display outputs

Jetway F35-ASL1 – A 3.5-inch Intel Atom x7433RE SBC with dual 2.5GbE, six COM ports, and triple 4K display outputs

Jetwayipc F35 ASL1 3.5 inch subcompact SBC

Jetway F35-ASL1 3.5-inch subcompact SBC is built around the Intel Atom x7433RE (Amston Lake) processor and designed for industrial and embedded applications. This SBC supports up to 32GB of DDR5 4800MHz memory and offers triple display output via two HDMI ports, one USB Type-C DP, and an LVDS/eDP interface. It also includes two 2.5Gbps Ethernet ports, optional WiFi and Bluetooth and/or 4G LTE /5G cellular connectivity via M.2 slots. Storage options include a SATA III port, an M.2 M-Key, and an optional onboard 64GB eMMC. The board provides extensive I/O with one USB 3.2 Gen 2 Type-C, one USB 3.2 Gen 2, eight USB 2.0, and six COM ports. Built for industrial environments, it features a wide DC input range (12–28V) with power protection mechanisms (RVP, OCP, and OVP), and a rugged design supporting shock and vibration resistance. It is suitable for industrial automation, edge computing, IoT, digital signage, and […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 8 Comments on Geniatech AIM M2 M.2 module features Kinara Ara-2 40 TOPS AI accelerator

Geniatech AIM M2 M.2 module features Kinara Ara-2 40 TOPS AI accelerator

Kinara Ara 2 M.2 Module

There are plenty of M.2 AI modules based on accelerators such as Hailo-8, MemryX MX3, or Axelera AI, but the Geniatech AIM M2 module is based on the Kinara Ara-2 40 TOPS AI accelerator that we’ve yet to cover here on CNX Software. The Key-M module is designed to handle Generative AI and transformer-based models such as Stable Diffusion at a lower price point than competitors, and operates at a typical sub-2W power consumption in computer vision workloads. Target applications include AI assistants/Copilot, gaming, smart retail, physical security, and factory automation. Geniatech AIM M2 specifications: AI Accelerator Kinara Ara-2 NPU with 40 TOPS of AI power Package – 17x17mm FCBBA System Memory – 16GB RAM (4GB/8GB Option) Host interface – PCIe Gen4 x4 Security – Secure boot and encrypted memory access Misc – Heatsink cooling Supply Voltage – 3.3V Power Consumption – Under 2 Watts (typical) TDP – 12 Watts […]

Posted on by Debashis Das - 1 Comment on Renesas RZ/V2N low-power AI MPU integrates up to 15 TOPS AI power, Mali-C55 ISP, dual MIPI camera support

Renesas RZ/V2N low-power AI MPU integrates up to 15 TOPS AI power, Mali-C55 ISP, dual MIPI camera support

Renesas RZ V2N MPU

Renesas has recently introduced the RZ/V2N low-power Arm Cortex-A55/M33 microprocessor designed for machine learning (ML) and computer vision applications. It features the company’s DRP-AI3 coprocessor, delivering up to 15 TOPS of INT8 “pruned” compute performance at 10 TOPS/W efficiency, making it a lower-power alternative to the RZ/V2H. Built for mid-range AI workloads, it includes four Arm Cortex-A55 cores (1.8GHz), a Cortex-M33 sub-CPU (200MHz), an optional 4K image signal processor, H.264/H.265 hardware codecs, an optional Mali-G31 GPU, and a dual-channel four-lane MIPI CSI-2 interface. The chip is around 38% smaller than the RZ/V2H MPU and operates without active cooling. The RZ/V2N is suitable for applications like endpoint vision AI, robotics, and industrial automation. Renesas RZ/V2N specifications CPU Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Variscite VAR-SOM-AM62P SoM features Texas Instruments Sitara AM62P5 SoC for cost-effective multimedia applications

Variscite VAR-SOM-AM62P SoM features Texas Instruments Sitara AM62P5 SoC for cost-effective multimedia applications

VAR SOM AM62P development kit

Variscite VAR-SOM-AM62P is a system-on-module powered by Texas Instruments Sitara AM62P5 quad-core Cortex-A53 + Cortex-R5F SoC coupled with up to 8GB LPDDR4 RAM and 128GB eMMC flash, and designed for cost-effective multimedia applications. The SO-DIMM module offers high speed interfaces such as gigabit Ethernet and USB 2.0, a certified WiFi 6 and Bluetooth 5.4 module, and operating in the -40 to 85°C industrial range. As a VAR-SOM module, it’s pin-to-pin compatible with other modules from the family such as the VAR-SOM-6UL or VAR-SOM-IMX93. Variscite VAR-SOM-AM62P specifications: SoC – Texas Instruments Sitara AM62P5 CPU 4x Arm Cortex-A53 @ 1.4 GHz up to 12,880 DMIPS Arm Cortex-R5F real-time core up to @ 800 MHz GPU –  3D GPU with OpenGL ES 3.2 & Vulkan1.2 VPU – H.264/H.265 Video Encoder/Decoder No PRU System Memory – 1GB to 8GB LPDDR4 Storage – 8GB to 128GB eMMC flash Networking Gigabit Ethernet PHY (Analog Devices ADIN1300) […]

UP 7000 x86 SBC