LETTER FROM THE EDITOR Dear Colleague, Are you an early-stage start-up company developing a new product or service incorporating or enabling computer vision? Do you want to raise awareness of your company and products with vision industry experts, investors and entrepreneurs? Want a chance to win $5,000 in cash plus membership in the Embedded Vision […]
Embedded Vision Insights: January 30, 2018 Edition Read More +
This article was originally published at Lattice Semiconductor's website. It is reprinted here with the permission of Lattice Semiconductor. The rapid rise in the number of sensors that are being integrated into the current generation of embedded designs, as well as the integration of low cost cameras and displays, have opened the door to a
Solving Intelligence, Vision and Connectivity Challenges at the Edge with ECP5 FPGAs Read More +
Today, Intel began shipping two new Intel® RealSense™ D400 Depth Cameras from the next-generation Intel RealSense D400 product family: the D415 and D435, adding 3D capabilities to any prototype development or end user-ready device or machine. Ideal for makers and educators as well as hardware prototyping and software development, the new depth cameras come in
LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Alliance’s first in-person, hands-on technical training classes for 2018, Deep Learning for Computer Vision with TensorFlow, take place in just a few weeks in San Jose, California. Sponsored by IBM and Nimbix and leveraging IBM PowerAI on the Nimbix cloud platform, the classes give you the
Embedded Vision Insights: January 16, 2018 Edition Read More +
Alex Neskin, founder and CTO of PetCube, delivers the presentation "Using Computer Vision and Machine Learning to Understand Pet Behavior" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Neskin explains how his start-up is using vision and AI to improve the lives of pets and their owners.
Neil Trevett, President of the Khronos Group, delivers the presentation "Update on Khronos Standards for Vision and Machine Learning" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Trevett shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI.
January 2, 2018 – Jon Peddie Research (JPR), the industry's research and consulting firm for graphics and multimedia, today released its latest quarterly report on the Visual Processing Unit (VPU) market. The major interest and activity in the market for Vision Processing Units (VPUs) continues to center on neural networks, both in terms of advances
This article was originally published by Dave Tokic of Alliance member company Algolux. It is reprinted here with Tokic's permission. To really reduce vehicle accidents and fatalities, the cameras in our cars need to “see” better… much better. This has been a major theme in the automotive industry that has become even more urgent as traffic
Seeing Clearer – Driving Toward Better Cameras for Safer Vehicles Read More +
This article was originally published at Basler's website. It is reprinted here with the permission of Basler. What do image processing systems have to do with keeping foodstuffs in good shape? Everyone prefers foodstuffs that are fresh and outwardly attractive. Image processing systems are frequently used during the quality assurance process for these products to
Fundamentals of Image Processing Systems Read More +
LETTER FROM THE EDITOR Dear Colleague, Are you an early-stage start-up company developing a new product or service incorporating or enabling computer vision? Do you want to raise awareness of your company and products with vision industry experts, investors and entrepreneurs? Want a chance to win $5,000 in cash plus membership in the Embedded Vision
Embedded Vision Insights: December 19, 2017 Edition 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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