Processors

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Smart In-Vehicle Cameras Increase Driver and Passenger Safety

Algorithms, Articles, Automotive, Edge AI and Vision Alliance, Emotion Discernment, Face Recognition, Gesture Control, NXP Semiconductors, Processors, Sensors and Cameras, Software, Technical Articles, Texas Instruments, videantis /

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras located in a vehicle's interior, coupled with cost-effective and power-efficient processors, can deliver abundant benefits to drivers and passengers alike. By Brian Dipert Editor-in-Chief Embedded Vision Alliance Tom Wilson Vice President, Business Development […]

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nvidia

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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High-Performance Machine Vision Systems Using Xilinx 7 Series Technology

AMD, Articles, Industrial Vision (Computer Vision), Processors, Technical Articles /

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

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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Figure3

Mobile Photography’s Developing Image

Algorithms, Articles, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Technical Articles /

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

AMD, Articles, Industrial Vision (Computer Vision), onsemi, Processors, Sensors and Cameras, Technical Articles, Texas Instruments /

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

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 +

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

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

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

Algorithms, Processors, Software, Tools, videantis, Videos /

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

Algorithms, Processors, Software, Synopsys, Tools, Videos /

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 +

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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