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Alexey Rybakov of LUXOFT delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy

The substantial parallel processing resources in modern GPUs makes them a natural choice for implementing vision-processing functions.

Academy

The level of "smart camera" intelligence has increased significantly over time. Today's cameras are driven by computer vision technology.

Yury Gorbachev of Itseez delivers a technical presentation at the May 2016 Embedded Vision Summit.

Academy

CDNN2 enables localized, deep learning-based video analytics on camera devices in real time, and adds support for Google's TensorFlow.

Dr. Chris Rowen of Cadence delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy

Instead of being vetted and improved in a sporadic crowd-sourced manner, formal industry standards have a structured process behind them.

It was clear at the annual Embedded Vision Summit that the time of computer vision and deep learning on mobile device had finally arrived.

Pete Warden of Google delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

Academy

Integrating an embedded video stabilization solution into the imaging pipeline of a product adds significant value to the customer.