Edge AI and Vision Alliance

“Computer Vision Hardware Acceleration for Driver Assistance,” a Presentation from Bosch

Markus Tremmel, Chief Expert for ADAS at Bosch, presents the “Computer Vision Hardware Acceleration for Driver Assistance” tutorial at the May 2018 Embedded Vision Summit. With highly automated and fully automated driver assistance system just around the corner, next generation ADAS sensors and central ECUs will have much higher safety and functional requirements to cope […]

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Computer Vision for Augmented Reality in Embedded Designs

Augmented reality (AR) and related technologies and products are becoming increasingly popular and prevalent, led by their adoption in smartphones, tablets and other mobile computing and communications devices. While developers of more deeply embedded platforms are also motivated to incorporate AR capabilities in their products, the comparative scarcity of processing, memory, storage, and networking resources

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“The Roomba 980: Computer Vision Meets Consumer Robotics,” a Presentation from iRobot

Mario Munich, Senior Vice President of Technology at iRobot, presents the “Roomba 980: Computer Vision Meets Consumer Robotics” tutorial at the May 2018 Embedded Vision Summit. In 2015, iRobot launched the Roomba 980, introducing intelligent visual navigation to its successful line of vacuum cleaning robots. The availability of affordable electro-mechanical components, powerful embedded microprocessors and

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“Recognizing Novel Objects in Novel Surroundings with Single-shot Detectors,” a Presentation from the University of North Carolina at Chapel Hill

Alexander C Berg, Associate Professor at the University of North Carolina at Chapel Hill and CTO of Shopagon, presents the “Recognizing Novel Objects in Novel Surroundings with Single-shot Detectors” tutorial at the May 2018 Embedded Vision Summit. Berg’s group’s 2016 work on single-shot object detection (SSD) reduced the computation cost for accurate detection of object

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“Building a Typical Visual SLAM Pipeline,” a Presentation from Virgin Hyperloop One

YoungWoo Seo, Senior Director at Virgin Hyperloop One, presents the “Building a Typical Visual SLAM Pipeline” tutorial at the May 2018 Embedded Vision Summit. Maps are important for both human and robot navigation. SLAM (simultaneous localization and mapping) is one of the core techniques for map-based navigation. As SLAM algorithms have matured and hardware has

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“Visual-Inertial Tracking for AR and VR,” a Presentation from Meta

Timo Ahonen, Director of Engineering for Computer Vision at Meta, presents the “Visual-Inertial Tracking for AR and VR” tutorial at the May 2018 Embedded Vision Summit. This tutorial covers the main current approaches to solving the problem of tracking the motion of a display for AR and VR use cases. Ahonen covers methods for inside-out

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Embedded Vision Insights: August 7, 2018 Edition

OPENVX UPDATES The OpenVX Computer Vision and Neural Network Inference Library Standard for Portable, Efficient Code OpenVX is an industry-standard computer vision and neural network inference API designed for efficient implementation on a variety of embedded platforms. The API incorporates the concept of a dataflow graph, which enables processor and tool developers to apply a

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“What’s Hot? The M&A and Funding Landscape for Machine Vision Companies,” A Presentation from Woodside Capital Partners

Rudy Burger, Managing Partner at Woodside Capital Partners, presents the “What’s Hot? The M&A and Funding Landscape for Machine Vision Companies” tutorial at the May 2018 Embedded Vision Summit. The six primary markets driving computer vision are automotive, sports and entertainment, consumer and mobile, robotics and machine vision, medical, and security and surveillance. This presentation

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“What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applications,” a Presentation from Ryad B. Benosman

Ryad B. Benosman, Professor at the University of Pittsburgh Medical Center, Carnegie Mellon University and Sorbonne Universitas, presents the “What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applications” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Benosman introduces neuromorphic, event-based approaches for image sensing and processing. State-of-the-art image sensors suffer from

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“Words, Pictures, and Common Sense: Visual Question Answering,” a Presentation from Facebook and Georgia Tech

Devi Parikh, Research Scientist at Facebook AI Research (FAIR) and Assistant Professor at Georgia Tech, presents the “Words, Pictures, and Common Sense: Visual Question Answering” tutorial at the May 2018 Embedded Vision Summit. Wouldn’t it be nice if machines could understand content in images and communicate this understanding as effectively as humans? Such technology would

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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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