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By effectively using all compute resources, along with leveraging software toolsets, it's possible to deliver robust AR in embedded designs.

Academy

This article focuses on recent updates to OpenVX, , along with the set of extensions that OpenVX implementers can optionally provide.

Academy

For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it.

Academy

This article reviews deep learning implementation options such as heterogeneous processing, network quantization, and software optimizations

Academy

The ability to stitch together multiple images, capturing varying viewpoints of a scene, is becoming increasingly valuable in applications.

Academy

The next engineering frontier, arguably the most challenging for the technology community, is real-time machine vision and intelligence.

Academy

Expanding the analysis range to encompass the infrared and/or ultraviolet spectrum can be of great benefit in a range of vision applications

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With the emergence of the "smart factory," visual intelligence will further evolve and mature, as well as expand into new applications.

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Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms.

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Image processing can optionally take place within the edge device, in a network-connected cloud server, or subdivided among these locations.

Academy