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Synopsys

Bert Moons of Synopsys delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.

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Mike Borza of Synopsys delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.

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Burkhard Huhnke of Synopsys delivers a Business Insights presentation at the May 2019 Embedded Vision Summit.

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An ISP in combination with a vision processor can deliver more robust processing capabilities than vision processing can provide standalone.

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Combining visible light image sensors with other situational and positional awareness sensor technologies can notably bolster autonomy.

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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.

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Fergus Casey of Synopsys delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

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Tom Michiels of Synopsys delivers a Technical Insights presentation at the May 2018 Embedded Vision Summit.

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

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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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