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What Hand-Eye Coordination Tells Us About Computer Vision

This blog post was originally published in the mid-November 2016 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. For humans, it goes without saying that vision is extremely valuable. When you stop to think about it, it’s remarkable what a diverse set of capabilities is enabled by human vision […]

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Driverless Cars in the Movies

This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. Movies are often great predictors of the future. At least since the 1960s, there have been several movies that featured autonomous vehicles. Since videantis licenses key processing technology that enables driverless cars, we thought it would be

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Medicine with Vision: How Embedded Cameras Benefit Medical Applications

This blog post was originally published at Basler's website. It is reprinted here with the permission of Basler. Cameras long ago secured their place in our daily life. This doesn't just apply to the cameras in our smartphones or the digital cameras we use for vacation snapshots. ATM machines, toll booths, security firms guarding buildings

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Augmented Reality Finally Hits the Mass Market with Pokémon Go; What’s Next?

This blog post was originally published at CEVA's website. It is reprinted here with the permission of CEVA. A few months ago, I wrote a post about Augmented Reality (AR) and Virtual Reality (VR) devices showcased at the MWC in Barcelona. While there was a lot of hype around AR and VR at many booths,

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The Future of Smartphone Photography: Dual Cameras Meet Machine Learning

This blog post was originally published at CEVA's website. It is reprinted here with the permission of CEVA. Immediately following the announcement of the iPhone 7 Plus, Apple’s first dual camera phone, commentators (like this post from Wired and this post from EETimes) declared that dual cameras are the new norm for smartphone photography. That’s

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VisionSystemsDesign

Deep Learning for Vision Processing: More In-depth Design Techniques

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Last time, I showcased new videos and articles from the Embedded Vision Alliance that provide tips for those using convolutional neural networks (CNNs) and other deep learning techniques. This time, I'll highlight additional in-depth resources

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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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