artificial intelligence News - Page 109 of 119 - CNX Software

July 24, 2018June 8, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

NVIDIA Jetson TX2i Module is Designed for Industrial Environments

NVIDIA Jetson TX2 “Artificial Intelligence Computer” module was announced in March 2017 with a Tegra X2 hexa-core processor, a 256-core Pascal GPU, 8GB RAM, 32GB storage, and support for 4K 60 fps encoding and decoding. But it turns out NVIDIA announced an rugged version of the module dubbed Jetson TX2i designed for reliable operation in harsh industrial environments in March of this year. NVIDIA Jetson TX2 and TX2i are pin-to-pin compatible, and can run the same software, but TX2i has been designed and tested for rougher conditions. Feature Jetson TX2 Jetson TX2i Shock 140G, 2ms 140G, 2ms Vibration 10Hz ~200Hz, 1g & 2g RMS Random: 5g RMS 10 to 500Hz Sinusoidal: 5g RMS 10 to 500Hz Temp Range -25°C – 80°C -40°C – 85°C Humidity 85°C / 85% RH, 168 hours -10°C to 65°C / 95% RH, 240 hours Operating Life 5 Years (GB at 35C: MTBF=1,747,520 hours GF at […]

July 20, 2018July 21, 2018 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Firefly Baidu Face Recognition Kit Comes with Monocular, Binocular, or Structured Light Camera

Firefly AIO-3399J industrial board comprised of a Rockchip RK3399 SoM and a baseboard offering plenty of I/O & connectivity options has been bundled with various other accessories including a 10.1″ touchscreen display, and cameras to create a development platform for Baidu AI offline (aka “at the edge”) face recognition technology. The development kit is available in different variants with either a monocular camera, a binocular camera, or a structured-light camera. There’s also a deluxe kit with WiFi and a stand. Baidu Face Recognition Kit key specifications: SoC – Rockchip RK3399 hexa-core big.LITTLE processor with dual core ARM Cortex A72 up to 2.0 GHz and quad core Cortex A53 processor, ARM Mali-T860 MP4 GPU with OpenGL 1.1 to 3.1 support, OpenVG1.1, OpenCL and DX 11 support System Memory – 2GB DDR3 RAM Storage – 16GB eMMC 5.1 flash, micro SD card slot Display – 10.1″ 1280×800 capacitive touch display Connectivity – […]

July 17, 2018July 17, 2018 by Jean-Luc Aufranc (CNXSoft) - No Comments

Axiomtek eBOX560-900-FL Ubuntu 16.04 Fanless Embedded Computer is Powered by NVIDIA Jetson TX2 Module

Axiomtek has unveiled eBOX560-900-FL fanless embedded computer equipped with an NVIDIA Jetson TX2 module, two Gigabit Ethernet ports, a HDMI 2.0a port, an NVMe slot, etc. It also supports WiFi and LTE connectivity for gateway applications. The rugged computer runs Ubuntu 16.04, targets high performance AI workloads such as machine vision, deep learning, and edge computing, and comes with IP40 protection, vibration resistance, and -10 to 50°C temperature range support. Axiomtek eBOX560-900-FL specifications: SoM – NVIDIA Jetson TX2 module with SoC – NVIDIA TX2 hexa-core processor with 2x Denver cores, 4x Arm A57 cores, and a 256-CUDA core NVIDIA Pascal GPU System Memory – 8GB 128-bit LPDDR4 @ 1866 MHz Storage – 32GB eMMC flash Storage – 1x M.2 2280 M-Key slot w/ PCIe 2.0 x4 (supports M.2 NVMe SSD) Video Output – 1x HDMI 2.0 with 4K2K support Connectivity 2x 10/100/1000 Mbps Ethernet (NVIDIA + Intel I210-IT) 802.11ac WiFI […]

July 12, 2018July 12, 2018 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

A Closer Look at NVIDIA Jetson Xavier Developer Kit (Video)

NVIDIA unveiled Jetson Xavier module and devkit last month, but the company did not release the full information, and for example we did not get any clear photo of the module and kit. Charbax did shot a video with more details at the time, but NVIDIA has now published more information about their upcoming $1,299 Jetson Xavier Developer Kit, including an introduction video which I’ll embed at the end of this article. The first thing to understand is that the module is not actually used in the developer kit, and will only used in actual mass-produced products. The main difference is the thermal solition. The development kit including a large heatsink, while the production module has a thermally conductive plate to let product designer select the most suitable thermal solution for their products. The specifications are still basically the same. For Jetson Xavier (production) module: SoC – NVIDIA Jetson Xavier […]

June 20, 2018June 20, 2018 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Raspberry Pi 3 and Movidius Neural Compute Stick to the Rescue Against Child Pornography

Warning note: While there won’t be any NSFW photos in this post, there will be some photos of ladies in light clothing (e.g. bikini) and “naked” animals for testing purpose… Intel released Movidius Neural Compute Stick allowing low power image recognition at the edge earlier this year, and we’ve seen it work just fine with Raspberry Pi 3 board delivering three times the performance against an inference solution leveraging VideoCore IV GPU. Christian Haschek owns a photo hosting site (PictShare) which happens to run open source code with the same name, and allows user to upload images anonymously. However, he soon found out that at least one user uploaded some child pornography. He contacted the authorities, but then wondered whether there may be others? Since there are simply too many photo on the website to look it up manually, he decided to look for a solution, and went with a […]

June 8, 2018June 8, 2018 by Jean-Luc Aufranc (CNXSoft) - No Comments

Imagination Unveils PowerVR AX2185 and AX2145 Neural Network Accelerators (NNA)

Imagination Technologies introduced PowerVR Series2NX neural network accelerator (NNA) last year. At the time, the company claimed the NNA would deliver twice the performance at half the bandwidth over existing competing solutions, and that it was the first dedicated hardware solution with flexible bit-depth support from 16-bit down to 4-bit. What they did not announce last September were any specific parts. But they’ve just done that today with PowerVR AX2185 and AX2145 NNAs “designed to enable high-performance computation of neural networks at very low power consumption in minimal silicon area”. PowerVR AX2185 PowerVR AX2185 is said to be the highest performing neural network accelerator per mm2 in the market with eight full-width compute engines delivering up to 4.1 TOPS (Tera Operations Per Second), or 2,048 MACs/clock. AX2185 NNA can deliver 3.5 times the performance compared to a desktop GPU. The NNA is best suited for high-end smartphones, smart surveillance and […]

June 4, 2018July 12, 2018 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

NVIDIA Introduces Jetson Xavier Devkit and Isaac Robotics Software

NVIDIA Xavier was first unveiled in September 2016 as an artificial intelligence SoC with eight NVIDIA Custom 64-bit Arm cores, a 512-core Volta GPU, 8K video encoding and decoding, and a computer vision accelerator (CVA) now called NVDLA (NVIDIA Deep Learning Accelerator). Earlier this year, the company announced Xavier was sampling, and DRIVE IX & DRIVE AR SDKs for the automotive market. On the eve of Computer 2018, NVIDIA has introduced Jetson Xavier development kit, as well as Isaac robotics software for autonomous machines. Jetson Xavier key specifications: SoC – NVIDIA Xavier with 8-core ARMv8.2 64-bit CPU, 8MB L2 + 4MB L3 512-core Volta GPU with Tensor Cores 2x NVDLA engines for deep learning 7-way VLIW Processor for vision acceleration VPU with dual 4Kp60 video decoding and encoding System Memory – 16GB 256-bit LPDDR4x | 137 GB/s Storage – 32GB eMMC 5.1 flash Display – 3x eDP/DP/HDMI at 4Kp60 | […]

May 26, 2018May 26, 2018 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

UP AI Edge Enables Artificial Intelligence on the Edge with Intel CPU, GPU, VPU and FPGA Solutions (Crowdfunding)

Back in February of this year, AAEON introduced their UP AI Edge family of products with UP AI Core mini PCIe card based on Intel Movidius Myriad 2 VPU (Vision Processing Unit), and UP Core Plus board powered by a choice of Apollo Lake processors, and supporting AI Plus FPGA and AI Net Ethernet expansion boards. The company has now launched a Kickstarter campaign for those boards, and added several new products including Vision Plus with three Movidius Myriad 2 VPUs, AI Core M2 with two Movidius Myriad2 VPU in M.2 2280 form factor, as well as the Up Squared AI vision development kit for OpenVINO toolkit. I won’t go through the products announced in February, but let’s have look at the new boards and cards. Vision Plus Board Vision Plus Specifications: VPU – 3x Intel Movidius Myriad 2 VPUs with 512 MB DDR Connectivity – 1x Gigabit Ethernet USB […]