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
Charles Nespoulous of Chouette delivers the presentation "Using Drones with Embedded Vision to Safeguard Vineyard Health" at the Embedded Vision Alliance's September 2017 Vision Industry and Technology Forum. In his presentation, Nespoulous covers the following topics: Viticulture challenges The precision viticulture solution Chouette overview Implementation challenges Chouette's implementation approach Business model Future challenges
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
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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
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
This technical article was originally published on Texas Instruments' website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Cameras are the most precise mechanisms used to capture accurate data at high resolution. Like human eyes, cameras capture the resolution, minutiae and vividness of a scene with such beautiful detail that no
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Divya Jain, Technical Director at Tyco Innovation, presents the "End to End Fire Detection Deep Neural Network Platform" tutorial at the May 2017 Embedded Vision Summit. This presentation dives deep into a real-world problem of fire detection to see what it takes to build a complete solution using CNNs. Fire is specifically challenging because it
Matthew Chiu, Founder of Almond AI, presents the "Designing CNN Algorithms for Real-time Applications" tutorial at the May 2017 Embedded Vision Summit. The real-time performance of CNN-based applications can be improved several-fold by making smart decisions at each step of the design process – from the selection of the machine learning framework and libraries used
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Paul Gallagher, Senior Director of Technology and Product Planning for LG, presents the "Coming Shift from Image Sensors to Image Sensing" tutorial at the May 2017 Embedded Vision Summit. The image sensor space is entering the fourth disruption in its evolution. The first three disruptions primarily focused on taking “pretty pictures” for human consumption, evaluation,
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