Optimizing Your System Software and BSP for Embedded Vision and AI

Wednesday, May 23, 2:50 PM - 3:20 PM
Summit Track: 
Enabling Technologies
Exhibit Hall A-3

While computer vision and AI algorithms tend to get the most attention, many other software components can have an equally important impact on image quality, algorithm accuracy and performance. For example, to get the best images from the chosen image sensor, the image signal processor must be tuned for the characteristics of the sensor and the environment. Camera device drivers also affect image quality. In addition, software component libraries and frameworks (such as frameworks for accelerating neural network inference) can speed application development, but also have a huge impact on performance and, in some cases, algorithm accuracy. In this presentation, we explore how carefully selecting and integrating these supporting software components alongside algorithm software modules leads to systems with superior image quality, accuracy and performance.


Daniel Sun

VP of Intelligent Vision Business Unit, ThunderSoft

Daniel joined ThunderSoft in 2017, leading a business group focusing on camera technologies and artificial intelligence, he worked on computer vision, embedded AI and intelligent vision solution for different verticals. Before he joined ThunderSoft, he worked in mobile phone industry for 17 years, he has a wide interest in software product management, strategic planning, user experience and embedded software engineering.

See you at the Summit! May 20-23 in Santa Clara, California!
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