Archive | Imaging & vision

Embedded Intelligent Vision is Not Just a Nice-to-have – It’s a Necessity

Demand for computer vision has never been stronger. Propelled by advances in deep learning, a staggering number of devices and applications utilizing vision and artificial intelligence (AI) have hit the market. While employing vision and deep learning in embedded systems poses a challenge, it is becoming a requirement. Here is a look at the variety […]

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CES 2017: Promises of Past Years Have Matured into Useful Products

I came to CES this year expecting to see countless drones buzzing overhead, based on last year’s fanfare. Upon arrival, I was surprised to see that some of the hype and overpromised technologies of last year were replaced by down-to-earth, pragmatic, useful technologies. Of course, drones were still there, as well as an increasing number […]

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Choosing The Best Vision System for Highly Automated Vehicles: Centralized or Edge Processing, Which is The Best Choice?

One of the most important attributes of a highly-automated vehicle (HAV) is its ability to see. Multiple computer vision sensors, distributed along the periphery of the vehicle, are what make HAVs ‘aware’ of their surroundings. This awareness is what enables decision making, whether it’s changing the course of the vehicle, or notifying the human driver […]

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CDNN: Generating an Embedded Neural Network at The Push of a Button

In two of my previous posts, I discussed deep learning frameworks, features and challenges and the specific challenges of deep learning in embedded systems. In this post, I would like to introduce the toolkit that deals with these challenges and serves as an extremely powerful and effective way to streamline development of deep learning on […]

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Challenges to Fully Autonomous Cars

On September 19, 2016, the U.S. Government issued the Federal Automated Vehicles Policy, marking a significant milestone in the progress of autonomous vehicles. Although this is a guidance document and does not contain official regulations, it is the first federal involvement in the United States. The federal government recognizes that the automation of vehicles has […]

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Learning How to Learn: Toddlers Versus Neural Networks

It’s undeniable that machine learning has made enormous progress over the past few years: from amazing artificial intelligence accomplishments like defeating a top ranking player at the ancient and complex game of Go to simple everyday uses like auto-tagging personal photo collections. At the core of the most advanced algorithms used to achieve these feats […]

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The New CEVA-XM6 Powered Vision Platform Is Here; Prepare to See Things Differently

It’s no secret that CEVA has been pushing the envelope for over a decade to make intelligent machine vision a viable possibility in mass market embedded devices. With four generation of successful, widely adopted DSP cores behind us, including the award-winning CEVA-XM4, we have established our position as the industry leader in low-power, high-performance programmable […]

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The Future of Smartphone Photography: Dual Cameras Meet Machine Learning

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 how much sway Apple has. As I speculated in my August 2015 post, this feature was anticipated since […]

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