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Embedded Vision Alliance

Real-time assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are now possible

Academy

Cameras, along with the interfaces that connect them to the remainder of the system, are critical aspects of any computer vision design.

Academy

Nik Gagvani of CheckVideo delivers a presentation at the September 2016 Embedded Vision Alliance Member Meeting.

Academy

Vivienne Sze of MIT delivers a presentation at the September 2016 Embedded Vision Alliance Member Meeting.

Academy

John Glossner of the HSA Foundation delivers a presentation at the September 2016 Embedded Vision Alliance Member Meeting.

Academy

VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.

Academy

Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology

Academy

Jeff Bier of the Embedded Vision Alliance delivers the Day 1 introduction presentation at the May 2016 Embedded Vision Summit.

Academy

Andreas Gal of Silk Labs delivers a business presentation at the May 2016 Embedded Vision Summit.

Academy

Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.

Academy