Visual Intelligence Opportunities in Industry 4.0

Algorithms & Models, AMD, Articles, Basler, Edge AI and Vision Alliance, Industrial Vision (Computer Vision), MVTec, Processors, Sensors and Cameras, Software, Technical Articles, Tools /

In order for industrial automation systems to meaningfully interact with the objects they're identifying, inspecting and assembling, they must be able to see and understand their surroundings. Cost-effective and capable vision processors, fed by depth-discerning image sensors and running robust software algorithms, continue to transform longstanding industrial automation aspirations into reality. And, with the emergence […]

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Xilinx Powers Huawei FPGA Accelerated Cloud Server

News /

Delivers 10x acceleration for machine learning, data analytics and video processing Shanghai, China, September 6, 2017 /PRNewswire/ — Xilinx, Inc. (XLNX) today announced at HUAWEI CONNECT 2017 that Huawei has chosen high performance Virtex® UltraScale+TM FPGAs to power their first FP1 instance as part of a new accelerated cloud service. The Huawei FPGA Accelerated Cloud

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Groupe PSA and AImotive Partner to Test Level 4 Highway Autonomous Capabilities

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PARIS and MOUNTAIN VIEW, Calif, September 6, 2017 – Groupe PSA and AImotive today announced a partnership to test a Highway Pilot program based on AI-powered technology to deliver Level 4 (mind off) capabilities at highway cruising speeds up to 130 km/h. The project will deploy AI based functionalities, including adaptive cruise control, fully automated

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“Embedded Vision Made Smart: Introduction to the HALCON Embedded Machine Vision Library,” a Presentation from MVTec

Algorithms & Models, Industrial Vision (Computer Vision), MVTec, Object Identification, Optical Character Recognition, Processors, Software, Tools, Videos /

Olaf Munkelt, Co-founder and Managing Director at MVTec Software GmbH, presents the "Embedded Vision Made Smart: Introduction to the HALCON Embedded Machine Vision Library" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Munkelt demonstrates how easy it is to develop an embedded vision (identification) application based on the HALCON Embedded standard software

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Intel Demonstration of the RealSense ZR300 Camera Object Recognition Library with Random Objects

Videos /

Amol Borkar, RealSense Product Manager at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Borkar demonstrates the capabilities of the object recognition library for the RealSense ZR300 camera with random objects.

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“Adventures in DIY Embedded Vision: The Can’t-miss Dartboard,” a Presentation from Mark Rober

Algorithms & Models, Edge AI and Vision Alliance, Object Tracking, Processors, Sensors and Cameras, Software, Tools, Videos /

Engineer, inventor and YouTube personality Mark Rober presents the "Adventures in DIY Embedded Vision: The Can’t-miss Dartboard" tutorial at the May 2017 Embedded Vision Summit. Can a mechanical engineer with no background in computer vision build a complex, robust, real-time computer vision system? Yes, with a little help from his friends. Rober fulfilled a three-year

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“Performing Multiple Perceptual Tasks With a Single Deep Neural Network,” a Presentation from Magic Leap

Algorithms & Models, Augmented Reality, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

Andrew Rabinovich, Director of Deep Learning at Magic Leap, presents the "Performing Multiple Perceptual Tasks With a Single Deep Neural Network" tutorial at the May 2017 Embedded Vision Summit. As more system developers consider incorporating visual perception into smart devices such as self-driving cars, drones and wearable computers, attention is shifting toward practical formulation and

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Embedded Vision Insights: August 29, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks (DNNs). If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss an upcoming

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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