Paul Kruszewski, President of WRNCH, presents the "Democratizing Computer Vision Development: Lessons from the Video Game Industry" tutorial at the May 2016 Embedded Vision Summit. Computer vision offers great promise: algorithms are maturing rapidly and processing power continues to grow by leaps and bounds. But today’s approach to computer vision software development – hiring a […]
Marco Jacobs, Vice President of Marketing at videantis, presents the "Computer Vision in Cars: Status, Challenges, and Trends" tutorial at the May 2016 Embedded Vision Summit. Just as horse carriages were replaced by cars in the 1920s, human operators in our cars will be replaced by electronics in the 2020s. The benefits are tremendous: self-driving
“Computer Vision in Cars: Status, Challenges, and Trends,” a Presentation from videantis Read More +
Jeff Bier, founder of the Embedded Vision Alliance, presents the "Computer Vision 2.0: Where We Are and Where We're Going" plenary session at the May 2016 Embedded Vision Summit. Computer vision has rapidly transitioned from a research topic with few commercial applications to a mainstream technology with applications in virtually every sector of our economy.
Orazio Gallo, Senior Research Scientist at NVIDIA, presents the "Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras" tutorial at the May 2016 Embedded Vision Summit. Today's digital cameras, even at the entry-level, produce pictures with quality comparable to that of high-end cameras of a decade ago. Image processing and computational photography algorithms play
Jeff Dean, Senior Fellow at Google, presents the "Large-Scale Deep Learning for Building Intelligent Computer Systems" keynote at the May 2016 Embedded Vision Summit. Over the past few years, Google has built two generations of large-scale computer systems for training neural networks, and then applied these systems to a wide variety of research problems that
Song Han, graduate student at Stanford, delivers the presentation "Techniques for Efficient Implementation of Deep Neural Networks" at the March 2016 Embedded Vision Alliance Member Meeting. Song presents recent findings on techniques for the efficient implementation of deep neural networks.
Dennis Crespo, Director of Product Marketing at Cadence, demonstrates the company's latest embedded vision technologies and products at the March 2016 Embedded Vision Alliance Member Meeting. Specifically, Crespo demonstrates a German traffic sign recognition benchmark running on the company's Tensilica Vision P5 DSP core, using a convolutional neural network algorithm and integrated in a Xilinx
Cadence Demonstrations of a German Traffic Sign Recognition Benchmark and a Smartphone Read More +
Mike Schmit, Senior Manager of Computer Vision and VR Video at AMD, demonstrates the company's latest embedded vision technologies and products at the March 2016 Embedded Vision Alliance Member Meeting. Specifically, Schmit demonstrates two examples of the company's OpenVX implementation for skin detection and Canny edge detection.
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Marcus Hammond, Robotics Lead at Kespry, delivers the presentation, "Drones at Work," at the March 2016 Embedded Vision Alliance Member Meeting. Hammond explains how his company is using autonomous drones and computer vision to provide actionable data for the mining and construction industries.
“Drones at Work,” a Presentation from Kespry Read More +
Jack Dashwood, Marketing Communications Director at Movidius, demonstrates the company's latest embedded vision technologies and products at the January 2016 Consumer Electronics Show. Specifically, Dashwood demonstrates a gesture interface algorithm implemented on the company's Myriad 2 vision processor.
Movidius Demonstration of a Gesture Interface 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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