Data-driven Business Models Enabled by 3D Vision Technology

Tuesday, May 22, 2:10 PM - 2:40 PM
Summit Track: 
Business Insights

This presentation describes which applications are enabled by low-cost 3D vision technology, such as home robotics, smart cities/communities and drones for precision farming, and which business models can be based on the generated data. All industry verticals directly benefit from 3D vision, but even more value can be generated based on the enormous generated 3D data set. E.g. a vacuum cleaner robot will map its environment using SLAM algorithms, to maneuver intelligently around obstacles and avoid running over valuables like jewelry. Beyond this direct benefit, an extremely rich data set is created, containing information on apartment size and furniture. This information can be used for target marketing, as the robot has already mapped out how big the new couch could be. The furniture arrangement across many households could be used for future apartment design. This presentation will explore these kinds of data-driven business models for key industry verticals.


Christopher Scheubel

Head of IP & Business Development, Framos

Christopher Scheubel, PhD, has been heading IP & Business Development at FRAMOS since 2016. He is an evangelist of making machines see and think, combining classical computer vision, 3D technologies and deep learning. Prior to joining FRAMOS, he founded his own startup, which brought mobile food ordering and payment to restaurants in Germany. During his career, Christopher gained experience at Bain&Company, KPMG and GM. He studied at the Technical University of Munich as well as at the Columbia Business School in New York.

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