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Edge AI and Vision Alliance

Facial Analysis Delivers Diverse Vision Processing Capabilities

Computers can learn a lot about a person from their face – even if they don’t uniquely identify that person. Assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are all now possible at real-time speeds, via advanced algorithms running on cost-effective hardware. This article provides an overview of […]

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Camera Interfaces Evolve to Address Growing Vision Processing Needs

Before a still image or video stream can be analyzed, it must first be captured and transferred to the processing subsystem. Cameras, along with the interfaces that connect them to the remainder of the system, are therefore critical aspects of any computer vision design. This article provides an overview of camera interfaces, and discusses their

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Embedded Vision Insights: November 29, 2016 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the most important industry event for innovators developing and deploying products using computer vision. Next year’s Summit will take place May 1-3, 2017 in Santa Clara, California. We are assembling the presentation program and have a limited number of presentation opportunities. We are looking

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Embedded Vision Insights: November 8, 2016 Edition

FEATURED VIDEOS "Implementing Eye Tracking for Medical, Automotive and Headset Applications," a Presentation from Xilinx and EyeTech Digital Systems When humans communicate with each other, we get important cues from watching each other’s eyes. Similarly, machines can gain valuable information and new capabilities by detecting and tracking users’ gazes. Robust eye tracking was once limited

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Embedded Vision Insights: October 25, 2016 Edition

FEATURED VIDEOS "Low-power Embedded Vision: A Face Tracker Case Study," a Presentation from Synopsys 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 be a challenging problem, recent years have brought higher performance solutions such as

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“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Nik Gagvani, President and General Manager of CheckVideo, delivers the presentation "Intelligent Video Surveillance: Are We There Yet?" at the September 2016 Embedded Vision Alliance Member Meeting. Gagvani provides an insider's perspective on vision-enabled video surveillance applications.

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“Energy-efficient Hardware for Embedded Vision and Deep Convolutional Neural Networks,” a Presentation from MIT

Vivienne Sze, Assistant Professor at MIT, delivers the presentation "Energy-efficient Hardware for Embedded Vision and Deep Convolutional Neural Networks" at the September 2016 Embedded Vision Alliance Member Meeting. Sze describes the results of her team's recent research on optimized hardware for deep learning. Followup: per Professor Sze, "Slides available at: http://www.rle.mit.edu/eems/wp-content/uploads/2016/07/Sze-Energy-Efficient-Hardware-for-Embedded-Vision-and-Deep-Learning-CVPR-2016-EVW.pdf".

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“Enabling Efficient Heterogeneous Processing Through Coherency,” a Presentation from the HSA Foundation

Dr. John Glossner, President of the HSA Foundation and CEO of GPT-US, delivers the presentation "Enabling Efficient Heterogeneous Processing Through Coherency" at the September 2016 Embedded Vision Alliance Member Meeting. Glossner describes the organization's goals and deliverables for enabling heterogeneous programming.

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Embedded Vision Insights: October 13, 2016 Edition

FEATURED VIDEOS "Using Vision to Enable Autonomous Land, Sea and Air Vehicles," a Keynote Presentation from NASA JPL Say you’re an autonomous rover and you’ve just landed on Mars. Vexing questions now confront you: “Where am I and how am I moving?” “What obstacles are around me?” “Are the obstacles moving?” “What other objects are

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VisionSystemsDesign

Computer Vision Evolves Towards Ubiquity

This column was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. For most of its history, computer vision was a topic of academic research, gaining its first sizable commercial success in factory automation applications, where it has become an essential technology. Nevertheless, vision has remained a niche

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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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