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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.

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Vuforia Chalk—Telemedicine For the Industry

PTC is offering a free Remote Assistance with Augmented Reality to Help Manufacturers During the COVID19 Crisis The Coronavirus, COVID-19, has forced many of us, maybe most of us to work at home. For many workers, even some working in the tech industry, performing specific tasks at home can be difficult or require a special

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What Is Object Detection?

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. 3 Things You Need to Know Object detection is a computer vision technique for locating instances of objects in images or videos. Object detection algorithms typically leverage machine learning or deep learning to… What Is Object Detection? Register

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“Object Detection for Embedded Markets,” a Presentation from Imagination Technologies

Paul Brasnett, PowerVR Business Development Director for Vision and AI at Imagination Technologies, presents the “Object Detection for Embedded Markets” tutorial at the May 2019 Embedded Vision Summit. While image classification was the breakthrough use case for deep learning-based computer vision, today it has a limited number of real-world applications. In contrast, object detection is

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“Sensory Fusion for Scalable Indoor Navigation,” a Presentation from Brain Corp

Oleg Sinyavskiy, Director of Research and Development at Brain Corp, presents the “Sensory Fusion for Scalable Indoor Navigation” tutorial at the May 2019 Embedded Vision Summit. Indoor autonomous navigation requires using a variety of sensors in different modalities. Merging together RGB, depth, lidar and odometry data streams to achieve autonomous operation requires a fusion of

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“Applied Depth Sensing with Intel RealSense,” a Presentation from Intel

Sergey Dorodnicov, Software Architect at Intel, presents the “Applied Depth Sensing with Intel RealSense” tutorial at the May 2019 Embedded Vision Summit. As robust depth cameras become more affordable, many new products will benefit from true 3D vision. This presentation highlights the benefits of depth sensing for tasks such as autonomous navigation, collision avoidance and

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“Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time,” a Presentation from Sportlogiq

Mehrsan Javan, CTO of Sportlogiq, presents the “Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time” tutorial at the May 2019 Embedded Vision Summit. Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this means designing a fully-automated, robust, end-to-end pipeline; from visual input,

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“Addressing Corner Cases in Embedded Computer Vision Applications,” a Presentation from Netradyne

David Julian, CTO and Founder of Netradyne, presents the “Addressing Corner Cases in Embedded Computer Vision Applications” tutorial at the May 2019 Embedded Vision Summit. Many embedded vision applications require solutions that are robust in the face of very diverse real-world inputs. For example, in automotive applications, vision-based safety systems may encounter unusual configurations of

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“Neuromorphic Event-based Vision: From Disruption to Adoption at Scale,” a Presentation from Prophesee

Luca Verre, Co-founder and CEO of Prophesee, presents the “Neuromorphic Event-based Vision: From Disruption to Adoption at Scale” tutorial at the May 2019 Embedded Vision Summit. Neuromorphic event-based vision is a new paradigm in imaging technology, inspired by human biology. It promises to dramatically improve machines’ ability to sense their environments and make intelligent decisions

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“Designing Home Monitoring Cameras for Scale,” a Presentation from Ring

Ilya Brailovskiy, Principal Engineer, and Changsoo Jeong, Head of Algorithm, both of Ring, present the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit. In this talk, Brailovskiy and Jeong discuss how Ring designs smart home video cameras to make neighborhoods safer. In particular, they focus on three key

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