Bookmark and Share

Technical Articles

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

Academy

We employ "lean" thinking to embedded vision applications by applying mathematical camera models to understand the tradeoffs.

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

Academy

Embedded vision solutions will be a key enabler for making automobiles fully autonomous.

The key driver behind mobile adoption of deep learning is the time and expense of sending device data across a network connection.

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

Academy

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

Academy

A status report with a focus on deep learning and Convolutional Neural Networks (CNNs).

It's practical to incorporate computer vision capabilities into a wide range of systems, enabling them to analyze their environments.

Academy

This chapter describes how to use the SDK and test the performance of optimizations.

Academy