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, […]
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 +
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 +
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 +
This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. By Bob Siller Senior Strategic Marketing Manager, Automotive Altera In the race to develop reliable and cost-effective advanced driver assistance systems (ADAS), designers are presented with challenges to integrate functionality, develop scalable platforms and
Complex Trends and Challenges in Designing ADAS Systems Read More +
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
High-Performance Machine Vision Systems Using Xilinx 7 Series Technology Read More +
This is a reprint of an Altera white paper also found here (PDF). Cameras and other equipment used in Surveillance and Machine Vision perform a variety of different tasks, ranging from Image Signal Processing (ISP), Video Transport and Video Format Conversion to Video Compression and Analytics. Video Processing – Today versus Tomorrow The video processing
FPGA Programmability and Performance Empower Machine Vision and Surveillance Read More +
A version of this article was originally published at Bits&Chips Magazine. It is reprinted here with the permission of Techwatch BV. Smart image analysis has enormous potential. An image sensor produces copious amount of data. The embedded vision algorithms and platforms that can interpret and give meaning to this data enable completely new user experiences,
Embedded Vision: We’re Only At the Beginning Read More +
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
Vision-Based Artificial Intelligence Brings Awareness to Surveillance Read More +
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
Mobile Photography’s Developing Image Read More +
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