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Deploying a Scalable Object Detection Inference Pipeline

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the first in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). In this post, we provide a general overview of the deep learning inference for object detection. Autonomous vehicle […]

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Edge AI and Vision Insights: August 5, 2020 Edition

LETTER FROM THE EDITOR Dear Colleague, Intel, a Premier Sponsor of the upcoming Embedded Vision Summit, will be delivering three workshops during the event: “Using the Intel Distribution of the OpenVINO Toolkit for Deploying Accelerated Deep Learning Applications,” on Friday, September 18 from 9:00 am – 1:30 pm PT “Edge AI for Retail,” on Monday,

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Out Now: 12.2 MP Alvium 1800 USB Camera with Rolling Shutter Sensor and Small Pixel Size

Allied Vision’s new 4k 1800 U-1240 camera offers high-quality imaging for machine vision applications Stadtroda, Germany, July 30, 2020 – Allied Vision adds another USB3 Vision camera with a rolling shutter to the Alvium 1800 series. The Alvium 1800 U-1240 incorporates Sony’s back-illuminated IMX226 CMOS sensor that enables high-quality imaging at 12.2 megapixel and 29

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Face Mask Detection in Street Camera Video Streams Using AI: Behind the Curtain

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the new world of coronavirus, multidisciplinary efforts have been organized to slow the spread of the pandemic. The AI community has also been a part of these endeavors. In particular, developments for monitoring social distancing or identifying

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CUDA Refresher: The GPU Computing Ecosystem

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This is the third post in the CUDA Refresher series, which has the goal of refreshing key concepts in CUDA, tools, and optimization for beginning or intermediate developers. Ease of programming and a giant leap in performance

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Edge AI and Vision Insights: June 24, 2020 Edition

LETTER FROM THE EDITOR Dear Colleague, What do these five things have in common? Augmented reality glasses for macular degeneration A gigapixel microscope that captures detail over hundreds of square centimeters An AI-powered data platform that helps with parking 3D thermal imagers to help autonomous things, day or night Algorithms that help robots see They’re

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Edge AI and Vision Insights: June 10, 2020 Edition

LETTER FROM THE EDITOR Dear Colleague, Last week, the Edge AI and Vision Alliance announced the winners of the 2020 Vision Product of the Year Awards. The Awards recognize the innovation and excellence of the industry’s leading technology companies that are enabling practical visual AI and computer vision.This year’s winners included NVIDIA’s Jetson Nano (Best

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Allied Vision’s Vimba Suite Now with Python Application Programming Interface

With the new Python API, Vimba Suite 4.0 Enables Rapid Prototyping of Vision Applications Stadtroda, Germany, May 26, 2020 – Allied Vision has released a new version of its Software Development Kit Vimba. Vimba 4.0 offers a Python Application Programming Interface (API). In addition to the established APIs for C, C++ and .NET, developers can

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Edge AI and Vision Insights: May 13, 2020 Edition

LETTER FROM THE EDITOR Dear Colleague, The Vision Tank is the Edge AI and Vision Alliance’s annual start-up competition, showcasing the best new ventures using computer vision or visual AI in their products and services. It’s open to early-stage companies, and entrants are judged on four criteria: technology innovation, business plan, team and business opportunity.

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Maximize CPU Inference Performance with Improved Threads and Memory Management in Intel Distribution of OpenVINO Toolkit

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The popularity of convolutional neural network (CNN) models and the ubiquity of CPUs means that better inference performance can deliver significant gains to a larger number of users than ever before. As multi-core processors become the norm,

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