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

Academy

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

Academy

This chapter describes the conclusions from the example optimization process.

Academy

Pulin Desai of Cadence delivers a product demonstration at the January 2017 Consumer Electronics Show.

This chapter describes an example optimization process for creating image pyramids.

Academy

This video shows how the full power of MVTec’s standard software can be brought to your embedded vision device, with HALCON Embedded.

Pulin Desai of Cadence delivers a product demonstration at the January 2017 Consumer Electronics Show.

"Deep learning" artificial neural networks are significantly better than previous techniques with a diversity of visual understanding tasks.

Designed for fast, power-efficient processing, they have a variety of uses, including automotive, industrial automation and vision systems.

While employing vision and deep learning in embedded systems poses a challenge, it is becoming a requirement.