Axiomtek AIE900-XNX – A 5G connected fanless Edge AI system for AMR, AGV, and computer vision

Axiomtek AIE900-XNX

Axiomtek AIE900-XNX is a fanless Edge AI computing system powered by NVIDIA Jetson Xavier NX system-on-module designed for autonomous mobile robots (AMR), automated guided vehicles (AGV), and other computer vision applications. The system delivers up to 21 TOPS thanks to the 6-core NVIDIA Carmel ARM v8.2 (64-bit) processor, NVDLA accelerators, and 384-core NVIDIA Volta architecture GPU found in the Jetson Xavier NX module. The AIE900-XNX Edge AI computer also comes with a 5G module for high-speed cellular connectivity and supports SerDes, PoE, and MIPI CSI cameras for video processing. Axiomtek AIE900-XNX specifications: NVIDIA Jetson Xavier NX system-on-module with CPU – 6-core NVIDIA Carmel Armv8.2 64-bit CPU with 6 MB L2 + 4 MB L3 cache GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores AI Accelerator – 2x NVDLA System Memory – 8GB 128-bit LPDDR4x onboard Storage – 16GB eMMC flash Storage –  M.2 Key M 2280 with PCIe […]

NVIDIA launches Jetson AGX Orin Developer Kit, Orin NX modules, and Isaac Nova Orin AMR platform

NVIDIA Jetson AGX Orin Developer Kit

NVIDIA Jetson AGX Orin module was first introduced in November 2021, but the company has now officially launched the Jetson AGX Orin Developer Kit, andunveiled the lower cost Orin NX modules still with 70 TOPS or more, and the Isaac Nova Orin AMR (autonomous mobile robot) reference platform. NVIDIA Jetson AGX Orin Developer Kit Jetson Orin AGX developer kit specifications: Jetson AGX Orin module with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + 6MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ 1.3 GHz DL Accelerator – 2x NVDLA v2.0 Vision Accelerator – PVA v2.0 (Programmable Vision Accelerator) AI Performance – Up to 275 TOPS (INT8) @ 60W Video Encode – 2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) Video Decode – 1x 8K30 | 3x 4K60 | 7x 4K30 | […]

What is Federated Learning in 5G C-V2X?

Implementation approach of Federated learning

In the past, Bluetooth, Wi-Fi, 3G, 4G with onboard sensors and GPS gave a huge start to the partial or conditional automation of the vehicles.  In today’s era of 4G/5G C-V2X (Cellular vehicle-to-everything) with onboard compute and sensors have pushed the connectivity evolution in the automotive industry. Work has increased on high-automation and fully autonomous vehicles. This is all possible due to wireless communication which is 5G. 5G brings high bandwidth, ultra-low latency, and high reliability to the board. With these promises, it becomes very evident that these technologies, specifically with 5G that can be leveraged in vehicles. The technology is not just to connect vehicles, but also tries to see if a vehicle can connect to a network to get some information from the cloud servers. For the use case of vehicles platooning, we can expect a latency of 10 ms with 99.99% reliability and a high data rate […]

VIA Mobile360 ADAS System Includes a 4G Connected Rugged Computer, a 7″ Display and 4 to 6 Cameras

VIA Mobile360 ADAS (Advanced Driver Assistance System) System is a road safety-enhancing solution that supports Lane Departure Warning, Forward Collision Warning, Blind Spot Detection, Pedestrian Detection, Vehicle Detection and Classification for special vehicles, motorcycles, and bicycles, Speed Limit Detection, and Rear-end Collision Avoidance. The system is comprised of “Mobile360 System” rugged computer, 4 to 6 cameras, and an optional 7″ display. Mobile360 System computer specifications: SoC – Unnamed Octa-core big.LITTLE processor with four ARM Cortex-A17 cores @ 1.8GHz, and four Cortex A7 cores @ 1.4GHz (Likely Zhaxin ZX-5880 SoC also including Elite 2000 GPU supporting OpenGL ES 3.1, OpenVG 1.1 and OpenCL EP 1.1) System Memory – 2GB Mobile LPDDR3 1600MHz RAM (Package-on-Package with SoC) Storage – 1x 512GB Transcend 2.5″ MLC SSD (-40°C-90°C); 16GB eMMC Flash memory; 1x Micro SD card slot; 1x full size SD card slot Connectivity – Gigabit Ethernet, 1x 4G LTE module, 1x Wi-Fi 802.11b/g/n […]

Nvidia Provides More Details About Parker Automotive SoC with ARMv8 Cores, Pascal GPU

Nvidia demonstrated DRIVE PX2 platform for self-driving cars at CES 2016, but did not give many details about the SoC used in the board. Today, the company has finally provided more information about Parker hexa-core SoC combining two Denver 2 cores, and four Cortex A57 cores combining with a 256-core Pascal GPU. Nvidia Parker SoC specifications: CPU – 2x Denver 2 ARMv8 cores, and 4x ARM Cortex A57 cores with 2MB + 2 MB L2 cache, coherent HMP architecture (meaning all 6 cores can work at the same time) GPUs – Nvidia Pascal Geforce GPU with 256 CUDA cores supporting DirectX 12, OpenGL 4.5, Nvidia CUDA 8.0, OpenGL ES 3.1, AEP, and Vulkan + 2D graphics engine Memory – 128-bit LPDDR4 with ECC Display – Triple display pipeline, each at up to 4K 60fps. VPU – 4K60 H.265 and VP9 hardware video decoder and encoder Others: Gigabit Ethernet MAC Dual-CAN […]

Autonomous Deep Learning Robot Features Nvidia Jetson TK1 Board, a 3D Camera, and More

Autonomous, a US company that makes smart products such as smart desks, virtual reality kits and autonomous robots, has recently introduced a deep learning robot that comes with a 3D camera, speaker and microphone, Jetson TK1 board, and a mobile base. The robot appears to be mostly made of the shelves parts: 3D Depth camera – Asus Xtion Pro 3D Depth Camera Speaker & Microphone Nvidia Jetson TK1 PM375 board – Nvidia Terra K1 quad-core Cortex A15 processor @ 2.3 GHz with a 192-core Kepler GPU, 2GB RAM, 16 GB flash Kobuki Mobile Base –  Kobuki is the best mobile base designed for education and research on state of the art robotics. Kobuki provides power supplies for external computer power as well as additional sensors and actuators. Its highly accurate odometry, amended by calibrated gyroscope, enables precise navigation. The robot is designed for research in deep learning and mobile robotics, […]

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