Processors

Figure1

High-Performance Machine Vision Systems Using Xilinx 7 Series Technology

This is a reprint of a Xilinx white paper also found here (PDF). Xilinx and its Alliance partner Sensor to Image have created hardware, software, IP, and whole turn-key system solutions for the growing high-performance Machine Vision market. By Mark Timmons Xilinx, Inc. and Werner Feith Sensor to Image, GmbH Abstract The Machine Vision market […]

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Figure2a

Vision-Based Artificial Intelligence Brings Awareness to Surveillance

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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Figure3

Mobile Photography’s Developing Image

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. Still photos and videos traditionally taken with standalone cameras are increasingly being captured by camera-inclusive smartphones and tablets instead. And the post-capture processing that traditionally required a high-end computer and took

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May-Jun-INT-factory-automation-concept-art

Industrial Automation and Embedded Vision: A Powerful Combination

A version of this article was originally published at InTech Magazine. It is reprinted here with the permission of the International Society of Automation. In order for manufacturing robots and other industrial automation systems to meaningfully interact with the objects they're assembling, as well as to deftly and safely move about in their environments, they

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

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 +

May 2014 Embedded Vision Alliance Member Meeting Presentation: “Designing a Consumer Panoramic Camcorder Using Embedded Vision,” Paul Alioshin, CENTR

Paul Alioshin, Chief Technology Officer at CENTR, delivers the presentation "Designing a Consumer Panoramic Camcorder Using Embedded Vision" at the May 2014 Embedded Vision Alliance Member Meeting. Please note that the audio was intentionally muted between ~6:09 and ~8:52, to address soundtrack copyright concerns.

May 2014 Embedded Vision Alliance Member Meeting Presentation: “Designing a Consumer Panoramic Camcorder Using Embedded Vision,” Paul Alioshin, CENTR Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Implementing Histogram of Oriented Gradients on a Parallel Vision Processor,” Marco Jacobs, videantis

Marco Jacobs, Vice President of Marketing at videantis, presents the "Implementing Histogram of Oriented Gradients on a Parallel Vision Processor" tutorial at the May 2014 Embedded Vision Summit. Object detection in images is one of the core problems in computer vision. The Histogram of Oriented Gradients method (Dalal and Triggs 2005) is a key algorithm

May 2014 Embedded Vision Summit Technical Presentation: “Implementing Histogram of Oriented Gradients on a Parallel Vision Processor,” Marco Jacobs, videantis Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection,” Bruno Lavigueur, Synopsys

Bruno Lavigueur, Embedded Vision Subsystem Project Leader at Synopsys, presents the "Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection" tutorial at the May 2014 Embedded Vision Summit. Lavigueur presents an embedded-mapping and refinement case study of a pedestrian detection application. Starting from a high-level functional description in OpenCV, he decomposes

May 2014 Embedded Vision Summit Technical Presentation: “Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection,” Bruno Lavigueur, Synopsys Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Challenges in Object Detection on Embedded Devices,” Adar Paz, CEVA

Adar Paz, Imaging and Computer Vision Team Leader at CEVA, presents the "Challenges in Object Detection on Embedded Devices" tutorial at the May 2014 Embedded Vision Summit. As more products ship with integrated cameras, there is an increased potential for computer vision (CV) to enable innovation. For instance, CV can tackle the "scene understanding" problem

May 2014 Embedded Vision Summit Technical Presentation: “Challenges in Object Detection on Embedded Devices,” Adar Paz, CEVA Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Trends and Recent Developments in Processors for Vision,” Jeff Bier, BDTI

Jeff Bier, President and co-founder of BDTI and founder of the Embedded Vision Alliance, presents the "Trends and Recent Developments in Processors for Vision" tutorial at the May 2014 Embedded Vision Summit. Processor suppliers are investing intensively in new processors for vision applications, employing a diverse range of architecture approaches to meet the conflicting requirements

May 2014 Embedded Vision Summit Technical Presentation: “Trends and Recent Developments in Processors for Vision,” Jeff Bier, BDTI 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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