Computer vision systems aren’t necessarily restricted to solely analyzing the portion of the electromagnetic spectrum that is visually perceivable by humans. Expanding the analysis range to encompass the infrared and/or ultraviolet spectrum, either broadly or selectively and either solely or in conjunction with visible spectrum analysis, can be of great benefit in a range of […]
Beyond-visible Light Applications in Computer Vision Read More +
Andrew Stein, Lead Computer Vision Engineer at Anki, presents the "Making Cozmo See" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Stein describes the vision capabilities of Cozmo, Anki's latest consumer robotics product. Cozmo is a sophisticated entertainment robot focused on personality, interactivity, and game play. It was one of the hottest
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Carter Maslan, CEO of Camio, presents the "Blending Cloud and Edge Machine Learning to Deliver Real-time Video Monitoring" tutorial at the May 2017 Embedded Vision Summit. Network cameras and other edge devices are collecting ever-more video – far more than can be economically transported to the cloud. This argues for putting intelligence in edge devices.
Tatsuya Sugioka, Imaging System Architect at Sony Corporation, presents the "Image Sensor Formats and Interfaces for IoT Applications" tutorial at the May 2017 Embedded Vision Summit. Image sensors provide the essential input for embedded vision. Hence, the choice of image sensor format and interface is critical for embedded vision system developers. In this talk, Sugioka
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LETTER FROM THE EDITOR Dear Colleague, Deep neural networks (DNNs) are proving very effective for a variety of challenging machine perception tasks, but these algorithms are very computationally demanding. To enable DNNs to be used in practical applications, it’s critical to find efficient ways to implement them. The Embedded Vision Alliance will delve into these
Embedded Vision Insights: September 26, 2017 Edition Read More +
Unmesh Bordoloi, Senior Researcher at General Motors, presents the "Collaboratively Benchmarking and Optimizing Deep Learning Implementations" tutorial at the May 2017 Embedded Vision Summit. For car manufacturers and other OEMs, selecting the right processors to run deep learning inference for embedded vision applications is a critical but daunting task. One challenge is the vast number
Chris Nicol, CTO at Wave Computing, presents the "New Dataflow Architecture for Machine Learning" tutorial at the May 2017 Embedded Vision Summit. Data scientists have made tremendous advances in the use of deep neural networks (DNNs) to enhance business models and service offerings. But training DNNs can take a week or more using traditional hardware
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This blog post was originally published by Twisthink. It is reprinted here with the permission of Twisthink. The exciting world of embedded cameras is experiencing rapid growth. Digital-imaging technology is being integrated into a wide range of new products and systems. Embedded cameras are becoming widely adopted in the automotive market, security and surveillance markets,
Use a Camera Model to Accelerate Camera System Design Read More +
Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, presents the "How to Test and Validate an Automated Driving System" tutorial at the May 2017 Embedded Vision Summit. Have you ever wondered how ADAS and autonomous driving systems are tested? Automated driving systems combine a diverse set of technologies and engineering skill sets from
“How to Test and Validate an Automated Driving System,” a Presentation from MathWorks Read More +
Derek Meyer, CEO of Wave Computing, presents the "Enabling the Full Potential of Machine Learning" tutorial at the May 2017 Embedded Vision Summit. With the growing recognition that “data is the new oil,” more companies are looking to machine learning to gain competitive advantages and create new business models. But the machine learning industry is
“Enabling the Full Potential of Machine Learning,” a Presentation from Wave Computing 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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