Blog Posts

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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VisionSystemsDesign

Deep Learning for Vision Processing: 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. Convolutional neural networks (CNNs) and other deep learning techniques are one of the hottest topics in computer vision today, as you can tell by the number of columns I've devoted to the subject. Most recently,

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VisionSystemsDesign

Evaluating and Implementing Deep Learning Processor Alternatives for Vision

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. Convolutional neural networks (CNNs) and other deep learning techniques, as I've recently noted, are quickly becoming legitimate options for implementing object recognition and other computer vision capabilities. With the growing popularity of CNNs, there’s a

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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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