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Technical Articles

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.

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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.

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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.

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

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This chapter describes the requirements to run the SDK and the example test platform which generates the results that this guide shows.

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This chapter describes the conclusions from the example optimization process.

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Differences between images intended for human viewing and for computer analysis factor into vision camera hardware and software design.

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