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“Augmented Reality for Industrial Productivity,” a Presentation from DAQRI

Algorithms, Augmented Reality, Edge AI and Vision Alliance, Software, Videos /

Wenyi Zhao, Ph.D., Director of the Vision and Sensor Group at DAQRI, delivers the presentation, "Augmented Reality for Industrial Productivity," at the March 2016 Embedded Vision Alliance Member Meeting. Zhao discusses how his firm’s computer-vision-enabled augmented reality helmet is being used to dramatically improve productivity in industrial applications.

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“Assistive Technology for the Visually Impaired,” a Presentation from UC Santa Cruz

Algorithms, Medical, Object Identification, Processors, Sensors and Cameras, Software, Videos /

Professor Roberto Manduchi of U.C. Santa Cruz delivers the presentation, "Assistive Technology for the Visually Impaired," at the December 2015 Embedded Vision Alliance Member Meeting. Professor Manduchi explores how embedded vision is being used to assist visually impaired individuals.

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Using Convolutional Neural Networks for Image Recognition

Algorithms, Articles, Cadence, Face Recognition, Object Identification, Optical Character Recognition, Processors, Technical Articles /

This article was originally published at Cadence's website. It is reprinted here with the permission of Cadence. Convolutional neural networks (CNNs) are widely used in pattern- and image-recognition problems as they have a number of advantages compared to other techniques. This white paper covers the basics of CNNs including a description of the various layers

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“Harman’s Augmented Navigation Platform—The Convergence of ADAS and Navigation,” a Presentation from Harman

Algorithms, Augmented Reality, Automotive, Edge AI and Vision Alliance, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Videos /

Alon Atsmon, Vice President of Technology Strategy at Harman International, presents the "Harman’s Augmented Navigation Platform—The Convergence of ADAS and Navigation" tutorial at the May 2015 Embedded Vision Summit. Until recently, advanced driver assistance systems (ADAS) and in-car navigation systems have evolved as separate standalone systems. Today, however, the combination of available embedded computing power

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“Deep-learning-based Visual Perception in Mobile and Embedded Devices: Opportunities and Challenges,” a Presentation from Qualcomm

Algorithms, Object Identification, Processors, Qualcomm, Software, Tools, Videos /

Jeff Gehlhaar, Vice President of Technology, Corporate Research and Development, at Qualcomm, presents the "Deep-learning-based Visual Perception in Mobile and Embedded Devices: Opportunities and Challenges" tutorial at the May 2015 Embedded Vision Summit. Deep learning approaches have proven extremely effective for a range of perceptual tasks, including visual perception. Incorporating deep-learning-based visual perception into devices

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“Combining Vision, Machine Learning and Natural Language Processing to Answer Everyday Questions,” a Presentation from QM Scientific

Algorithms, Edge AI and Vision Alliance, Object Identification, Processors, Retail, Software, Videos /

Faris Alqadah, CEO and Co-Founder of QM Scientific, delivers the presentation "Combining Vision, Machine Learning and Natural Language Processing to Answer Everyday Questions" at the May 2015 Embedded Vision Alliance Member Meeting. Faris explains how his company's GPU-accelerated Quazi platform combines proprietary natural language processing, computer vision and machine learning technologies to extract, connect and

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“Creating Smarter, More Interactive Apps and Systems with Computer Vision,” a Presentation from the Embedded Vision Alliance

Algorithms, Augmented Reality, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools, Videos /

Thanks to improvements in processors, image sensors, and algorithms, more and more of our devices now — for the first time — are gaining the ability to see and understand the world around them. In this talk from the June 2015 Augmented World Expo, Jeff Bier (Founder of the Embedded Vision Alliance) highlights the opportunities

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“Bringing Computer Vision to the Consumer,” a Keynote Presentation from Dyson

Algorithms, Edge AI and Vision Alliance, Object Identification, Object Tracking, Processors, Robotics, Sensors and Cameras, Videos /

Mike Aldred, Electronics Lead at Dyson, presents the "Bringing Computer Vision to the Consumer" keynote at the May 2015 Embedded Vision Summit. While vision has been a research priority for decades, the results have often remained out of reach of the consumer. Huge strides have been made, but the final, and perhaps toughest, hurdle is

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“The Evolution of Object Recognition in Embedded Systems,” a Presentation from CEVA

Algorithms, Ceva, Object Identification, Processors, Software, Tools, Videos /

Moshe Shahar, Director of System Architecture at CEVA, presents the "Evolution of Object Recognition in Embedded Systems" tutorial at the May 2015 Embedded Vision Summit. Camera-enabled devices have made great strides in performance and quality in recent years, but they still fall far short of human visual perception. To reach their potential, vision-enabled systems must

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May 2015 Embedded Vision Summit Technical Presentation: “Low-power Embedded Vision: A Face Tracker Case Study,” Pierre Paulin, Synopsys

Algorithms, Face Detection, Processors, Software, Synopsys, Tools, Videos /

Pierre Paulin, R&D Director for Embedded Vision at Synopsys, presents the "Low-power Embedded Vision: A Face Tracker Case Study" tutorial at the May 2015 Embedded Vision Summit. The ability to reliably detect and track individual objects or people has numerous applications, for example in the video-surveillance and home entertainment fields. While this has proven to

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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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