Sensors, sensors everywhere. Now what do I do?
Mobile computing has driven an explosion in product opportunities – smartphones, wearables, hearables, sports cameras, and more. Sensing will further …
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Ariel Hershkovitz
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Ben Weiss
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Charles Pao
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David Pereira
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Elia Shenberger
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Franz Dugand
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Gunn Salelanonda
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Guy Givoni
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Guy Keshet
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Ido Gus
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Jeff VanWashenova
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Nir Shapira
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Ofer Shahen Tov
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Richard Kingston
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Sharon Berlowitz
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Shay Adar
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Tal Shalev
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Tomer Yablonka
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Yair Siegel
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Youval Nachum
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Zeev Kaplan
Optimizing AI for embedded applications
In my previous blog I talked about how demand for AI-based interfaces has become almost unavoidable—and that adding an AI-based interface …
Home Surveillance and Security Without the Hassle
Fisheye dewarping with no need to install an app: this solution works directly with the WebGL API and on popular …
SLAM and Multi-Sensing Robots: Soon in Every Home
Robotics, for many of us, is still an application mostly limited to the factory or warehouse floor. We see media …
Easing the development of visual SLAM applications
Simultaneous Localization and Mapping (SLAM) describes the process by which a device, such as a robot, uses sensor data to build …
Ultra-Wide is Ultra-Hot, and a Lot of Work
Wide angle cameras are hot in smartphones, cars, VR and surveillance, for convenience, cost or safety. Turning wide-angle, high-res input …
Image Processing and Computer Vision in One Package: A Logical Next Step
Computer vision on the edge is a good start but it isn’t enough. It needs to deal with distorted images …
Smart AI Assistants are the Real Enabler for Edge AI
AI at the edge will reduce overwhelming volumes of data to useful and relevant information on which we can act. A recent …
DMS Given Green Light to Increase Road Safety
The “Vision Zero” approach from the European Union (EU) includes the goal of bringing automotive fatalities and serious injuries down …
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