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Robots with a Sense of Space: How 3D Imaging Will Improve Industrial Machine Vision

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. Robots capable of quick, precise and seemingly effortless grasping and placement of goods: until recently, this seemingly-simple task actually required a long and difficult period of setup and training. Robots with a sense of space, capable of interacting […]

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Embedded Vision Insights: April 24, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, This year’s Embedded Vision Summit will feature three immersive Vision Technology Workshops: Khronos Standards for Neural Networks and Embedded Vision, Optimized Inference at the Edge with Intel and Artificial Intelligence from Concept to Implementation from Synopsys. Don’t miss your chance to attend the preeminent event for practical computer vision.

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Processing Platform Concepts in Embedded Vision

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. The past few years have seen the rise of a powerful generation of processing boards capable of replacing much of the work previously performed by PC-based systems. In the machine vision field, the components for industrial applications have

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Empowering Automotive Vision with TI’s Vision AccelerationPac

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction By September of 2013, Google’s self-driving car had completed over 500,000 miles of driving without a single accident under computer control[1]. Google’s disruptive driver- less car project was aimed to improve car safety and

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“A New Approach to Mass Transit Security,” a Presentation from Lux Research

Mark Bünger, Vice President of Research at Lux Research, delivers the presentation "A New Approach to Mass Transit Security" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Bünger presents a revolutionary computer-vision-based methodology for public transit safety.

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“Evaluating Early Stage Investment Opportunities in Camera-First Innovations,” a Presentation from Shasta Ventures

Jacob Mullins, Partner at Shasta Ventures, delivers the presentation "Evaluating Early Stage Investment Opportunities in Camera-First Innovations" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Mullins explains why his firm views the camera as an increasingly central link between the physical and digital worlds.

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“Computer Vision at the Edge and in the Cloud: Architectures, Algorithms, Processors, and Tools,” a Presentation from the Embedded Vision Alliance

On April 11, 2018, Embedded Vision Alliance founder Jeff Bier delivered the presentation “Computer Vision at the Edge and in the Cloud: Architectures, Algorithms, Processors, and Tools” to the Santa Clara Valley Chapter of the IEEE Signal Processing Society. Bier discussed the benefits and trade-offs of edge, cloud, and hybrid… “Computer Vision at the Edge

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Embedded Vision Insights: April 10, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, Time is running out! Today is the last day to save 15% on your 2018 Embedded Vision Summit registration pass with our Early Bird Discount. Don’t miss the chance to accelerate your learning curve and uncover practical techniques in computer vision by attending some of our 80+ “how-to” sessions.

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“Instrumenting Greenhouses as Data-driven Manufacturing Facilities,” a Presentation from IUNU

Matt King, Chief Technology Officer at IUNU, delivers the presentation "Instrumenting Greenhouses as Data-driven Manufacturing Facilities" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. King explains how his company is enabling increased efficiency in commercial greenhouses using robotic cameras, computer vision and machine learning.

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TI Gives Sight to Vision-Enabled Automotive Technologies

This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Cars continue to become smarter and smarter, integrating new and cutting-edge technologies to make the driving experience safer and more enjoyable. With the goal of reducing roadway fatalities, enabling these new advanced driver assistance

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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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