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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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VisionSystemsDesign

Real-life Case Studies Provide Education and Encouragement on Vision System Design Challenges and Solutions

This blog post was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. The development of vision algorithms, software and systems is very much an empirical undertaking – informed more my experimentation and experience than by theory. The good news is, you don’t have to do all of

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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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