How will deep learning impact the vision industry?

Over the past few years, deep learning has become one of the hottest topics in the industry. Companies such as Facebook and Google are putting time, effort, and money into the technologies, and within the machine vision industry, there are an increasing number of products being released that feature the technology.

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Over the past few years, deep learning has become one of the hottest topics in the industry. Companies such as Facebook and Googleare putting time, effort, and money into the technologies, and within the machine vision industry, there are an increasing number of products being released that feature the technology.

Take for example the 2017 Vision Systems Design Innovators Awards. Out of 43 honorees, six of these companies developed products relating to machine learning or deep learning, or artificial intelligence of some type, which more than the previous two years. Furthermore, Cognex—perhaps the largest vision company in the world—recently put an emphasis on the technology when they acquired award-winning deep learning software company ViDi Systems. Cognex isn’t alone, either, as companies likeIntel,Xilinx,DJI, and NVIDIAhave all placed an importance on deep learning and machine learning technologies.

In summary, and as most of you probably know and agree, it’s a technology that is growing rapidly in popularity. We want to know how you are already using it, or plan to use it in your vision applications, and what type of impact you think it will have on the industry overall.

Let us know in the poll below. If you have any questions, please contact Jimmy Carroll.

Pictured: A slide from the "Large-Scale Deep Learning for Building Intelligent Computer Systems,” May 2016 Embedded Vision Summit keynote from Jeff Dean, Senior Fellow at Google.

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