Embedded vision: The four key trends driving the proliferation of visual perception

With so much happening in computer vision applications and technology, and happening so fast, it can be difficult to see the big picture. In this talk, sponsored by Matrox Imaging, Teledyne DALSA, and FLIR, we examine the four most important trends that are fueling the proliferation of vision applications and influencing the future of the industry: 1. Deep learning - more than just a passing fad, our multi-year survey of vision developers shows that deep learning is re-shaping the future of vision. 2. Democratization - thanks to cloud computing and higher levels of abstraction in both hardware and software, developers now have much easier access to vision than before. 3. Fast, cheap, energy-efficient processors - massive investment in specialized processors is paying off, delivering 1000x improvements in performance and efficiency, enabling vision to be deployed even in very cost- and energy-constrained applications. 4. 3D perception - the introduction of 3D optical sensors into high-volume applications like mobile phones and automobiles has catalyzed a dramatic acceleration in innovation, collapsing the size, cost and complexity of 3D perception. We explain what's fueling each of these key trends, and highlight key implications for technology suppliers, solution developers and end-users.

Mar 27th, 2019
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With so much happening in computer vision applications and technology, and happening so fast, it can be difficult to see the big picture. In this talk, sponsored by Matrox Imaging, Teledyne DALSA, and FLIR, we examine the four most important trends that are fueling the proliferation of vision applications and influencing the future of the industry:

1. Deep learning - more than just a passing fad, our multi-year survey of vision developers shows that deep learning is re-shaping the future of vision.

2. Democratization - thanks to cloud computing and higher levels of abstraction in both hardware and software, developers now have much easier access to vision than before.

3. Fast, cheap, energy-efficient processors - massive investment in specialized processors is paying off, delivering 1000x improvements in performance and efficiency, enabling vision to be deployed even in very cost- and energy-constrained applications.

4. 3D perception - the introduction of 3D optical sensors into high-volume applications like mobile phones and automobiles has catalyzed a dramatic acceleration in innovation, collapsing the size, cost and complexity of 3D perception.

We explain what's fueling each of these key trends, and highlight key implications for technology suppliers, solution developers and end-users.

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