Processors

Implementing Vision with Deep Learning in Resource-constrained Designs

DNNs (deep neural networks) have transformed the field of computer vision, delivering superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence, which had been solved quite well with conventional techniques, are now finding even better […]

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Computer Vision in Surround View Applications

The ability to "stitch" together (offline or in real-time) multiple images taken simultaneously by multiple cameras and/or sequentially by a single camera, in both cases capturing varying viewpoints of a scene, is becoming an increasingly appealing (if not necessary) capability in an expanding variety of applications. High quality of results is a critical requirement, one

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“Update on Khronos Standards for Vision and Machine Learning,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group, delivers the presentation "Update on Khronos Standards for Vision and Machine Learning" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Trevett shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI.

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“The Reverse Factory: Embedded Vision in High-Volume Laboratory Applications,” a Presentation from tec-connection

Dr. Patrick Courtney, MBA, of tec-connection and the Standards in Laboratory Automation (SiLA) Consortium delivers the presentation "The Reverse Factory: Embedded Vision in High-Volume Laboratory Applications" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In his presentation, Courtney covers the following topics: Motivation: the need and the market Big applications today:

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“Using Vision to Collect Rich Data in the Moment of Truth for Retail Analytics and Market Research,” a Presentation from GfK

Dr. Anja Dieckmann of GfK Verein and Markus Iwanczok of GfK SE deliver the presentation "Using Vision to Collect Rich Data in the Moment of Truth for Retail Analytics and Market Research" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In their presentation, Dieckmann and Iwanczok cover the following topics: Market

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“Methods for Understanding How Deep Neural Networks Work,” a Presentation from Fraunhofer

Dr. Wojciech Samek of the Fraunhofer Heinrich Hertz Institute delivers the presentation "Methods for Understanding How Deep Neural Networks Work" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In his presentation, Dr. Samek covers the following topics: Unbeatable AI systems Deep neural network overview Opening the "black box" Summary

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“Introduction to Light Field Imaging,” a Presentation from Bosch

Dr. Christian Perwass of Bosch delivers the presentation "Introduction to Light Field Imaging" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In his presentation, Dr. Perwass discusses light field imaging's uniqueness, applicability, and implementation challenges and solutions.

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“The Evolution of Depth Sensing: From Exotic to Ubiquitous,” a Presentation from 8tree

Erik Klaas of 8tree delivers the presentation "The Evolution of Depth Sensing: From Exotic to Ubiquitous" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In his presentation, Klaas covers the following topics: Why is metrology important? Categorization of common methodologies for dimensional measurements Examples and applications of image-based dimensional measurement Market

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“How CNNs Localize Objects with Increasing Precision and Speed,” a Presentation from ShatterLine Labs

Auro Tripathy, Founding Principal at ShatterLine Labs, presents the "How CNNs Localize Objects with Increasing Precision and Speed" tutorial at the May 2017 Embedded Vision Summit. Locating objects in images (“detection”) quickly and efficiently enables object tracking and counting applications on embedded visual sensors (fixed and mobile). By 2012, progress on techniques for detecting objects

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“Designing and Implementing Camera ISP Algorithms Using Deep Learning and Computer Vision,” a Presentation from Motorola

Val Marchevsky, Senior Director of Engineering at Motorola, presents the "Designing and Implementing Camera ISP Algorithms Using Deep Learning and Computer Vision" tutorial at the May 2017 Embedded Vision Summit. Once we began to rely on our phone cameras as the primary means of sharing memories, emotions and important events in our lives, the quality

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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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