Object Identification

Vision in Wearable Devices: Enhanced and Expanded Application and Function Choices

Algorithms, Articles, Augmented Reality, Ceva, Edge AI and Vision Alliance, Face Recognition, Gesture Control, NXP Semiconductors, Object Identification, Optical Character Recognition, 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. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide […]

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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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“Convolutional Neural Networks,” an Embedded Vision Summit Keynote Presentation from Facebook

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

Yann LeCun, Director of AI Research at Facebook and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University, presents the "Convolutional Networks: Unleashing the Potential of Machine Learning for Robust Perception Systems" keynote at the May 2014 Embedded Vision Summit. Convolutional Networks (ConvNets) have become the dominant method

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May 2014 Embedded Vision Summit Technical Presentation: “Fast 3D Object Recognition in Real-World Environments,” Ken Lee, VanGogh Imaging

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

Ken Lee, Founder of VanGogh Imaging, presents the "Fast 3D Object Recognition in Real-World Environments" tutorial at the May 2014 Embedded Vision Summit. Real-time 3D object recognition can be computationally intensive and difficult to implement when there are a lot of other objects (i.e. clutter) around the target. There are several approaches to deal with

May 2014 Embedded Vision Summit Technical Presentation: “Fast 3D Object Recognition in Real-World Environments,” Ken Lee, VanGogh Imaging Read More +

May 2014 Embedded Vision Summit Technical Presentation: “How to Create a Great Object Detector,” Avinash Nehemiah, MathWorks

Algorithms, MathWorks, Object Identification, Object Tracking, Software, Tools, Videos /

Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Create a Great Object Detector" tutorial at the May 2014 Embedded Vision Summit. Detecting objects of interest in images and video is a key part of practical embedded vision systems. Impressive progress has been made over the past few years by

May 2014 Embedded Vision Summit Technical Presentation: “How to Create a Great Object Detector,” Avinash Nehemiah, MathWorks Read More +

johnday-blog

Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions

Algorithms, Articles, Automotive, Edge AI and Vision Alliance, Face Detection, Face Recognition, Gesture Control, NXP Semiconductors, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Synopsys, Technical Articles /

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide range of embedded

Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions Read More +

“Computational Photography: An Introduction and Highlights of Recent Research,” a Presentation from the University of Wisconsin

Algorithms, Edge AI and Vision Alliance, Face Detection, Object Identification, Object Tracking, Sensors and Cameras, Software, Videos /

Professor Li Zhang of the University of Wisconsin presents an introduction to computational photography at the December 2013 Embedded Vision Alliance Member Meeting.

“Computational Photography: An Introduction and Highlights of Recent Research,” a Presentation from the University of Wisconsin Read More +

Figure1b

Visual Intelligence Gives Robotic Systems Spatial Sense

Algorithms, Articles, MathWorks, NXP Semiconductors, Object Identification, Object Tracking, Processors, Robotics, Software, Technical Articles /

This article is an expanded version of one originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. In order for robots to meaningfully interact with objects around them as well as move about their environments, they must be able to see and discern their surroundings. Cost-effective

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October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical

Aerospace and Defense, Algorithms, Arm, Automotive, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Software, Videos /

Michael Tusch, Founder and CEO of Apical Imaging, presents the "Better Image Understanding Through Better Sensor Understanding" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. One of the main barriers to widespread use of embedded vision is its reliability. For example, systems which detect

October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, Synopsys

Aerospace and Defense, Algorithms, Automotive, Face Detection, Object Identification, Object Tracking, Processors, Retail, Security, Software, Synopsys, Videos /

Tom Michiels, R&D Manager at Synopsys, presents the "Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms" tutorial within the "Algorithms and Implementations" technical session at the October 2013 Embedded Vision Summit East. Pedestrian detection is an important function in a wide range of applications, including automotive safety systems, mobile applications, and industrial automation. A

October 2013 Embedded Vision Summit Technical Presentation: “Designing a Multi-Core Architecture Tailored for Pedestrian Detection Algorithms,” Tom Michiels, 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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