Processors

Adding Precise Finger Gesture Recognition Capabilities to the Microsoft Kinect

Algorithms, Entertainment, Gesture Control, Processors, Software, Videos /

CogniMem’s Chris McCormick, application engineer, demonstrates how the addition of general-purpose and scalable pattern recognition can be used to bring enhanced gesture control to the Microsoft Kinect. Envisioned applications include augmenting or eliminating the TV remote control, using American Sign Language for direct text translation, and expanding the game-playing experience. To process even more gestures […]

Adding Precise Finger Gesture Recognition Capabilities to the Microsoft Kinect Read More +

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

Vision in Wearable Devices: Enhanced and Expanded Application and Function Choices Read More +

Figure5

Semiconductor Innovations in Computer Vision and Mobile Photography

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. As interest grows in taking better photographs and videos and extracting knowledge from those images, innovative semiconductor architectures are emerging to provide powerful, low-power vision capabilities By Michael McDonald President, Skylane

Semiconductor Innovations in Computer Vision and Mobile Photography Read More +

Figure4

Automotive Fusion: Combining Legacy and Emerging Sensors for Safer and Increasingly Autonomous Vehicles

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

Vision technologies are rapidly emerging in the automotive market and improving the safety of vehicles. Fused with other technologies such as RADAR, LIDAR, and far infrared sensors, the automobile is well on its way to becoming fully self-driving.  By Michael McDonald President, Skylane Technology Consulting Consultant, Embedded Vision Alliance Many of us have been affected,

Automotive Fusion: Combining Legacy and Emerging Sensors for Safer and Increasingly Autonomous Vehicles Read More +

idlogo2

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

Practical Computer Vision Enables Digital Signage with Audience Perception Read More +

“Processors for Embedded Vision: Technology and Market Trends,” A Presentation from the Linley Group

Edge AI and Vision Alliance, Processors, Videos /

Linley Gwennap, founder and principal analyst of The Linley Group, delivers the presentation "Processors for Embedded Vision: Technology and Market Trends" at the September 2014 Embedded Vision Alliance Member Meeting.

“Processors for Embedded Vision: Technology and Market Trends,” A Presentation from the Linley Group Read More +

“Harnessing Heterogeneous Computing for Cloud- and Mobile-Based Visual Search,” A Presentation From Baidu

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

Dr. Ren Wu, Distinguished Scientist at Baidu, delivers the presentation "Harnessing Heterogeneous Computing for Cloud- and Mobile-Based Visual Search" at the September 2014 Embedded Vision Alliance Member Meeting. As China's leading search engine, Baidu's focus is not only on indexing website text but also multimedia content, such as audio files, still images and video clips.

“Harnessing Heterogeneous Computing for Cloud- and Mobile-Based Visual Search,” A Presentation From Baidu Read More +

“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.

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

Figure2

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

Smart In-Vehicle Cameras Increase Driver and Passenger Safety Read More +

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

Accelerate Machine Learning with the cuDNN Deep Neural Network Library 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.

Pages

Topics

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top