As machine vision and robotic automation evolve towards new levels of intelligence, video production systems are also raised to the next level.
Seervision has analyzed the motion sequences of cameramen in various scenarios and converted them into video analysis algorithms for real-time object recognition and scene segmentation. With this technology, multi-camera robot setups collaborate and can perform all tasks of traditional camera work autonomously, whereby the result of the software-controlled camera can no longer be distinguished from that controlled by a human being.
So what do we do?
We develop state-of-the-art video analysis algorithms for real-time object recognition and scene segmentation in video productions. Based on precise camera motion models, we always deliver perfect cinematography under all operating conditions.
Developed at ETH Zurich,every unit guarantees Swiss quality,reliability and precision.
The world's first autonomous multi camera robots for live productions. Our Seervision robot uses artificial intelligence to bring new levels of accuracy to productions while minimizing footprint and productions costs. Its face and limb detection software automates camera operation for as many objects as you need, easily tracking their movements to provide stable and natural looking content.... and that's actually only the top of the iceberg.
So what do you do?
We are constantly looking for motivated people and offer various attractive terms depending on what you bring to the table. Starting time is always ASAP and place of work can be flexible with a minimum 20% physical presence in Zurich.
We founded our company in 2016 out of research in the field of camera control at the Automatic Control Laboratory of ETH Zurich.
All in all, we have carried out more than 20 R&D projects in the field of camera control, as part of more than 4 years of cooperation on various projects and development work for several industrial partners.
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And what's going on?
Here and there we write here what we are busy at the moment. You can also find us on Medium, Instagram and GitHub.