Seervision AG

In live event production, capturing high-quality video requires large camera crews to perform repetitive and labor-intensive tasks that require focus on technical details that ultimately distract crews from creative storytelling. Researchers at ETH Zurich analyzed the motion sequences of human-operated cameras in a variety of applications and converted them into algorithms that allow for real time object recognition and scene segmentation. Seervision applied this research with the mission to make visual storytelling effortless by automating the dull and repetitive operational tasks of camera operation.

During their time at Wyss Zurich, the Seervision team developed “adaptive motion control” that incorporated image recognition, artificial intelligence, model predictive control, and high-speed dynamics to make autonomous video production a reality. The algorithms were continuously enriched through a machine-learning process and expanded to allow for multiple robot camera setups in which each robot can not only autonomously perform all the tasks of traditional camera work but also exchange information with other robot cameras. The resulting shots were indistinguishable from those produced by a team of human camera operators, thereby allowing the users to focus on creative storytelling.

In 2023 Q-SYS acquired Seervision AG expanding the reach of the teams AI-driven camera automation software solutions worldwide.