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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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May 2015 Embedded Vision Summit Proceedings

Algorithms, Downloads, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools /

The Embedded Vision Summit was held on May 12, 2015 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations presented at the Summit are listed below. All of the slides from these presentations are included in… May 2015 Embedded Vision Summit

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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

Algorithms, Articles, BDTI, Imagination Technologies, Intel, NVIDIA, Processors, Software, Technical Articles, Tools /

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and

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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

Algorithms, BDTI, Imagination Technologies, Intel, NVIDIA, Processors, Software, Technical Articles, Tools /

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +

Gaze Tracking Using CogniMem Technologies’ CM1K and a Freescale i.MX53

Algorithms, Entertainment, Face Detection, Object Tracking, Processors, Retail, Software, Tools, Videos /

This demonstration, which pairs a Freescale i.MX Quick Start board and CogniMem Technologies CM1K evaluation module, showcases how to use your eyes (specifically where you are looking at any particular point in time) as a mouse. Translating where a customer is looking to actions on a screen, and using gaze tracking to electronically control objects

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“An Update on OpenVX and Other Vision-Related Standards,” A Presentation from Khronos

Algorithms, Edge AI and Vision Alliance, NVIDIA, Software, Tools, Videos /

Elif Albuz, Manager of Vision Software at NVIDIA, delivers the presentation "Update on OpenVX and Other Khronos Standards" at the December 2014 Embedded Vision Alliance Member Meeting. Elif provides an update on the newly released OpenVX standard, and other vision-related standards in progress.

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“Introduction to Feature Descriptors in Vision: From Haar to SIFT,” A Presentation from Author Scott Krig

Algorithms, Edge AI and Vision Alliance, Processors, Software, Tools, Videos /

Scott Krig, author of the book "Computer Vision Metrics: Survey, Taxonomy, and Analysis," delivers the presentation "Introduction to Feature Descriptors in Vision: From Haar to SIFT" at the September 2014 Embedded Vision Alliance Member Meeting.

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Accelerate Machine Learning with the cuDNN Deep Neural Network Library

Algorithms, Articles, Emotion Discernment, Face Recognition, NVIDIA, Object Identification, Optical Character Recognition, Processors, Software, Technical Articles, Tools /

This article was originally published at NVIDIA's developer blog. It is reprinted here with the permission of NVIDIA. By Larry Brown Solution Architect, NVIDIA Machine Learning (ML) has its origins in the field of Artificial Intelligence, which started out decades ago with the lofty goals of creating a computer that could do any work a

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Vision-Based Artificial Intelligence Brings Awareness to Surveillance

Algorithms, Articles, Edge AI and Vision Alliance, Processors, Security, Sensors and Cameras, Software, Technical Articles, Texas Instruments, Tools /

A version of this article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. Moving beyond the research lab, embedded vision is rapidly augmenting traditional law enforcement techniques in real world surveillance settings. Technological gaps are rapidly being surmounted as automated surveillance systems' various hardware

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“Using Inertial Sensors and Sensor Fusion to Enhance the Capabilities of Embedded Vision Systems,” a Presentation from Sensor Platforms

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

Kevin Shaw, Chief Technology Officer at Sensor Platforms, delivers the presentation "Using Inertial Sensors and Sensor Fusion to Enhance the Capabilities of Embedded Vision Systems" at the May 2014 Embedded Vision Alliance Member Meeting.

“Using Inertial Sensors and Sensor Fusion to Enhance the Capabilities of Embedded Vision Systems,” a Presentation from Sensor Platforms Read More +

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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