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.
Deep learning and other machine learning techniques have rapidly become a transformative force in computer vision. Compared to conventional computer vision techniques, machine learning algorithms deliver 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,
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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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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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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.
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:
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
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
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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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
“The Evolution of Depth Sensing: From Exotic to Ubiquitous,” a Presentation from 8tree Read More +
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