This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. In last week's column, I used two case studies, robotic vacuum cleaners and drones, to illustrate the perhaps surprising power consumption savings that can be obtained by adding computer vision capabilities to a system design. […]
Vision: An Essential Ingredient for Autonomy Read More +
The recently discussed Business Insights Track isn't the only new track at this year's Embedded Vision Summit. Also make sure to check out the Enabling Technologies Track, where you'll learn about the latest computer vision processors, tools, and other technologies that you can use to develop practical, innovative products now. The Enabling Technologies Track is
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.
FLIR's New Boson™ Thermal Camera Core to Feature Onboard Visual Intelligence Computing Through Custom Implementation of Myriad 2 VPU SAN MATEO, CA–(Marketwired – Apr 18, 2016) – Movidius, the leader in low-power machine vision, today announced a strategic collaboration with FLIR Systems, a global leader in thermal imaging technology, to bring advanced computer vision capabilities
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.
AMD Demonstration of Its OpenVX Implementation Read More +
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 +
This blog post was originally published in the mid-April 2016 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. We've been hearing a lot about autonomous cars lately – and for good reasons. Driverless cars offer enormous opportunities for improved safety, convenience, and efficiency. Their proliferation may have as profound
Your Autonomous Vehicle Is Ready Now…For Your Living Room 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 +
Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's latest embedded vision technologies and products at the March 2016 Embedded Vision Alliance Member Meeting. Specifically, Giddings demonstrates a dense optical flow relative motion measurement algorithm running on partner (and fellow Alliance member) Qualcomm's Snapdragon 820 development platform.
BDTI Demonstration of Dense Optical Flow Read More +
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