Seervision, founded in 2016, has its roots in multi-camera control research at the Automatic Control Laboratory of ETH Zurich. Pulling together their expertise in real-time optimization, computer vision and predictive motion models, they ventured out to create a camera system that can film a moving object while mimicking the movements of a professional camera operator. A first demo of our prototype in a lecture recording setting delivered on the promise: the viewers could not distinguish if the camera movements were controlled by an algorithm or an experienced camera operator. Seervision was born!
Richard Villhaber, has come on board as part of Seervison's ambitions to grow internationally. Villhaber will focus on new business development, opening new international markets and growing existing markets. Villhaber says: With our extensive experience in EMEA, APAC, CIS, and Eastern European broadcast television and governmental markets as well as markets throughout the USA, LATAM and Nordics, Villrich Broadcast can help establish contacts and assist in negotiation for product placement and sales across Seervision's product range.
Roman Schweizer, CRO of
Seervision, says Joining forces with Richard Villhaber brings an experienced consulting professional with over 22 years in the television broadcast, sports, cinema and entertainment industries to our network. At Seervision we are always looking to develop our product and our vision. Investments in the right people, as well as technology, are a key part of our long-term strategy for growth and international expansion.
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Seervision, founded in 2016, has its roots in multi-camera control research at the Automatic Control Laboratory of ETH Zurich. Pulling together their expertise in real-time optimization, computer vision and predictive motion models, they ventured out to create a camera system that can film a moving object while mimicking the movements of a professional camera operator. A first demo of our prototype in a lecture recording setting delivered on the promise: the viewers could not distinguish if the camera movements were controlled by an algorithm or an experienced camera operator. Seervision was born!
