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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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Practical Computer Vision Enables Digital Signage with Audience Perception

Algorithms, AMD, Articles, Augmented Reality, Edge AI and Vision Alliance, Emotion Discernment, Face Detection, Face Recognition, Gesture Control, NXP Semiconductors, Processors, Retail, Sensors and Cameras, Software, Technical Articles /

This article was originally published at Information Display Magazine. It is reprinted here with the permission of the Society of Information Display. Signs that see and understand the actions and characteristics of individuals in front of them can deliver numerous benefits to advertisers and viewers alike.  Such capabilities were once only practical in research labs

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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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May 2014 Embedded Vision Summit Technical Presentation: “Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality,” Simon Morris, CogniVue

Algorithms, Augmented Reality, Edge AI and Vision Alliance, NXP Semiconductors, Processors, Software, Tools, Videos /

Simon Morris, CEO of CogniVue, presents the "Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality" tutorial at the May 2014 Embedded Vision Summit. Augmented reality (AR) applications are based on accurately computing a camera's 6 degrees of freedom (6DOF) position in 3-dimensional space, also known as its "pose". In vision-based approaches to AR,

May 2014 Embedded Vision Summit Technical Presentation: “Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality,” Simon Morris, CogniVue Read More +

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Augmented Reality: A Compelling Mobile Embedded Vision Opportunity

Algorithms, Articles, Augmented Reality, Edge AI and Vision Alliance, NXP Semiconductors, Processors, Sensors and Cameras, Software, Technical Articles, Tools, videantis /

This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Although augmented reality was first proposed and crudely demonstrated nearly fifty years ago, its implementation was until recently only possible on bulky and expensive computers. Nowadays, however, the fast, low power and cost-effective processors and high

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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

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October 2013 Embedded Vision Summit Technical Presentation: “Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision,” Tom Wilson, CogniVue

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Tom Wilson, Vice President of Business Development at CogniVue, presents the "Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. The ability to detect and determine the position of objects in 3D is important for many

October 2013 Embedded Vision Summit Technical Presentation: “Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision,” Tom Wilson, CogniVue Read More +

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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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Embedded Vision on Mobile Devices: Opportunities and Challenges

Articles, Edge AI and Vision Alliance, Entertainment, Face Detection, Face Recognition, Gesture Control, Information Access and Analytics, NXP Semiconductors, Processors, Software, Technical Articles /

by Tom Wilson CogniVue Brian Dipert Embedded Vision Alliance This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Courtesy of service provider subsidies coupled with high shipment volumes, relatively inexpensive smartphones and tablets supply formidable processing capabilities: multi-core GHz-plus CPUs and graphics processors, on-chip DSPs

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April 2013 Embedded Vision Summit Technical Presentation: “Developing Low-Cost, Low-Power, Small Vision Systems,” Simon Morris, CogniVue

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Simon Morris, CEO of CogniVue, presents the "Developing Low-Cost, Low-Power, Small Vision Systems" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit.ebsite.

April 2013 Embedded Vision Summit Technical Presentation: “Developing Low-Cost, Low-Power, Small Vision Systems,” Simon Morris, CogniVue 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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