som News - Page 18 of 78 - CNX Software

October 26, 2022 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

uConsole is a modular Arm or RISC-V handheld computer with optional 4G connectivity

Clockwork’s uConsole is a modular handheld computer with a 5-inch display, a built-in keyboard, and based on a carrier board supporting various Arm or RISC-V modules compatible with the Raspberry Pi CM3 or CM4 form factors. The device is offered with a system-on-module with up to 4GB RAM, a WiFi 5 and Bluetooth 5.0 wireless module, features micro HDMI video output, USB ports, and an audio jack, plus expansion connectors for more advanced users, and takes two 18650 batteries for power. The company also offers a 4G LTE module for cellular connectivity. The mainboard, called ClockworkPi v3.14 revision 5, offers the following: System-on-module socket – 200-pin DDR2 SODIMM socket compatible with Raspberry Pi CM3 and, through an adapter, Raspberry Pi CM4 and compatible modules Storage – MicroSD card socket Video Interfaces 40-pin MIPI DSI connector micro HDMI interface for external display Audio – 3.5mm audio jack with headphone and microphone […]

October 24, 2022 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Miniature Raspberry Pi CM4 carrier board only exposes USB-C port and 40-pin GPIO header

Mirek Folejewski’s (aka Mirko Electronics) PicoBerry is an open-source hardware, miniature Raspberry Pi CM4 carrier board with just a USB Type-C port for power, a 40-pin Raspberry Pi GPIO header, and barely anything else. At just 70x20mm, the 2-layer board only adds a few LEDs, namely the ACT/PWR LEDS and two user LEDs, and supports any Raspberry Pi CM4 module with eMMC flash, but not the Raspberry Pi CM4 Lite since the board does not include a microSD card slot. PicoBerry specifications: Supported system-on-modules – Raspberry Pi CM4 with eMMC flash, and possibly compatible SoMs such as Radxa CM5 or Pine64 SoQuartz64 USB – USB Type-C for power Expansion – 40-pin GPIO header with the same layout as on Raspberry Pi 4 or other Pi boards with a 40-pin header Misc – ACT/PWR LEDs, 2x user LEDs (green.red) Power Supply – 5V DC/3A via USB-C port, Dimensions – 70x20mm (2-layer […]

October 21, 2022October 25, 2022 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

WisGate Connect Raspberry Pi CM4 gateway supports 2.5GbE, WiFi 6, BLE, LoRaWAN, 4G, 5G, and more

RAKwireless has just introduced the WisGate Connect gateway based on Raspberry Pi CM4 system-on-module with support for Gigabit and 2.5Gbps Ethernet plus various optional wireless connectivity option that can be added through Mini PCIe or M.2 sockets as well as expansion through WisBlock IO connectors. Wireless options include LoRaWAN, 4G LTE, 5G, WiFi 6, Zigbee, WiFi HaLoW, and more, while WisBlock modules enable features such as methane sensor, motor current sensor, temperature sensor, pressure control, and valve control among many others. WisGate Connect (RAK7391) specifications: SoM – Raspberry Pi CM4 with Broadcom BCM2711 quad-core Cortex-A72 processor @ 1.5GHz, 1 to 8Gb DDR4, optional 8 to 32GB eMMC flash, optional WiFi 5 and Bluetooth 5.0 LE Storage – MicroSD card socket for CM4 Lite modules only Video Output – HDMI 2.0 up to 4Kp60, 22-pin MIPI DSI connector Camera I/F – 2x 22-pin MIPI CSI connectors Networking Wired – Gigabit Ethernet […]

October 20, 2022October 20, 2022 by Leo Zachary - 16 Comments

BIGTREETECH CB1 – A Raspberry Pi CM4 compatible Allwinner H616 system-on-module

The BIGTREETECH CB1 core board is an Allwinner H616 quad-core Arm Cortex-A53 system-on-module (SoM) that follows the Raspberry Pi CM4 form factor and was designed by BIGTREETECH, a company whose main business is related to 3D printer motherboards and their peripherals. The BIGTREETECH CB1 comes with 1GB RAM, an HDMI output interface, 2.4GHz WiFi, and 100Mbps Ethernet. The CB1 has better multimedia capability than the CM4 with support for 4Kp60 H.265/H.264 video decoding and 1080p60 H.264 video encoding, while the Broadcom BCM2711 processor on the CM4 can only handle 4Kp60 H.265 and 1080p60 H.264 video decoding, and 1080p30 H.264 video encoding. Some disadvantages include the lack of CSI and DSI interfaces on the Allwinner H616 system-on-module and the presence of only one video output interface against two for the Raspberry Pi CM4 module. BIGTREETECH CB1 specifications: SoC – Allwinner H616 quad-core Cortex-A53 @ 1.5GHz with Mali-G31 MP2 GPU with OpenGL 3.2, […]

October 17, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Zynq UltraScale+ SoM with up to 12GB RAM targets LiDAR applications

iWave Systems iW-RainboW-G30M is a system-on-module (SoM) based on AMD Xilinx Zynq UltraScale+ ZU4/ZU5/ZU7 FPGA MPSoC specially geared towards LiDAR applications for scientific and military applications. The module comes with up to 12GB of RAM, 4GB for the programmable logic (PL) and 8GB for the Arm Cortex-A53/R5-based Processing System (PS), two 240-pin high-density, high-speed connectors with 142 user I/Os, 16x GTH transceivers up to 16.3Gbps, and four GTR transceivers up to 6Gbps. iW-RainboW-G30M specifications: FPGA MPSoC – AMD Xilinx Zynq Ultrascale+ ZU4, ZU5, or ZU7 MPSoC with Processing System (PS) featuring 2x or 4x Arm Cortex-A53 core @ 1.5 GHz, two Cortex-R5 cores @ 600MHz, H.264/H.265 Video Encoder/Decoder (VCU), ARM Mali-400MP2 GPU @ 677MHz, and Programming Logic (PL)/FPGA with up to 504K Logic cells & 230K LUTs System Memory 4GB DDR4 64-bit RAM with ECC for PS (upgradeable up to 8GB) 2GB DDR4 16-bit RAM for PL (upgradeable up to […]

October 13, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Vecow launches NVIDIA Jetson AGX Orin-based EAC-5000 Series Edge AI computing system

Vecow EAC-5000 Jetson AGX Orin embedded computer

Vecow EAC-5000 is a rugged AI computing system powered by NVIDIA’s Jetson AGX Orin 32GB or 64GB system-on-module designed for advanced edge AI applications such as in-vehicle computing, robotic control, machine vision, intelligent video analytics, and mobile robots. The embedded computer delivers up to 275 TOPS of AI performance thanks to the NVIDIA module, supports up to eight GMSL2 cameras, various wireless connectivity options with 6 antennas, 9V to 50V wide range DC power input, and operates in the -20°C to 70°C temperature range. Vecow EAC-5000 specifications: System-on-Module EAC-5000-R32 – NVIDIA Jetson AGX Orin 32GB with CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 1 GHz DL Accelerator – 2x NVDLA v2.0 @ up to 1.4 GHz Vision Accelerator – PVA v2.0 (Programmable […]

September 29, 2022September 29, 2022 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Geniatech unveils SMARC 2.1 compliant Rockchip RK3568 system-on-module

We’ve seen Rockchip RK3568 system-on-modules before, but the Geniatech SOM-3568-SMARC core board is the first to comply with the SMARC 2.1 standard with a 314-pin MXM connector exposing the many I/Os from the quad-core Cortex-A55 processor. The module comes with up to 8GB RAM, 128GB eMMC flash, integrates a WiFi and Bluetooth module as well as two Gigabit Ethernet transceivers, and is designed to be used in advanced NVRs, cloud terminals, industrial automation, IoT applications, digital signage, and more. Geniatech SOM-3568-SMARC specifications: SoC – Rockchip RK3568 quad-core Cortex-A55 processor @ 2.0 GHz with Arm Mali-G52 2EE GPU with support for OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, 1 TOPS NPU for AI acceleration, 4Kp60 H.265/H.264/VP9 video decoding, and 1080p100 H.265/H.264 video encoding; 22nm process System Memory – 2GB, 4GB or 8GB DDR4 Storage – 32GB, 64GB, or 128GB eMMC 5.1 flash Networking 2x RTL8211F Gigabit Ethernet PHY WT6354 wireless module […]

September 21, 2022 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

$199+ NVIDIA Jetson Orin Nano system-on-module delivers up to 40 TOPS

NVIDIA Jetson Orin Nano system-on-module (SoM) is an update to the Jetson Nano entry-level Edge AI and robotics module that delivers up to 40 TOPS of AI performance, meaning it’s up to 80 times faster than the original module. The new SoM features an hexa-core Arm Cortex-A78AE processor, an up to 1024-core NVIDIA Ampere architecture GPU with 32 Tensor cores, up to 8GB RAM, and the same 260-pin SO-DIMM connector found in the Jetson Orin NX modules. Two versions are offered with the following specifications: That means the Jetson Orin family has now six modules ranging from 20 TOPS to 275 TOPS. There’s no specific development kit for the Jetson Orin Nano SoM since it can be emulated on the NVIDIA Jetson AGX Orin developer kit, and supported by the JetPack 5.0.2 SDK based on Ubuntu 20.04. NVIDIA has tested some dense INT8 and FP16 pre-trained models from NGC and […]