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Developing Computer Vision and Artificial Intelligence for best-quality and cost-effective live sports production and distribution

Objective

Sports play a key economic role in Europe, representing 2% of European GDP. European sports audiovisual content has significant global appeal, similar to the role that Hollywood or TV play in the USA. Only in Europe there are 50,000 leagues played in 240,000 venues, and more than 10 million fans consume sports online. Despite these numbers, fans do not actually have access to all the sports they demand: current broadcasting offering is focused on top-tier competitions (just representing 10% of total competitions) but non-premium leagues and secondary sports (e.g., female competitions), i.e. 90%, remain almost totally uncovered. This is because sports events are very expensive to produce (up to €60,000 per match, due to manpower involved in logistics, recording, editing and other time-consuming tasks). This coverage gap impacts on the complete sport ecosystem, unable to 100% exploit of their capabilities and on the low visibility of female and secondary sports.
OZeye will overcome these problems. It is a software system that, by smartly exploiting latest Computer Vision, AI and robotic technologies, automatizes the production and broadcasting of sports games at the best quality, reducing production costs by 95%, enabling broadcasting of currently under-covered competitions and sports. OZeye also enhances fan-experience and expand commercial content exploitation such as stadium augmentation or integrated advertisement. OZeye is developed by OZ Sports, an Icelandic company offering general-purpose online video since 2009. We have been selected from over 600 companies for the prestigious scaling program Nordic Scalers, to help us scale up in the USA. In addition, we have been selected as one of the top 50 most innovative companies in sports for 2018 by Hype Sports Innovation, the largest global eco-system for sports innovation. We forecast accumulated profits of €28.1 million for our company in 2024 and our team to grow +120 people.

Field of science

  • /natural sciences/computer and information sciences/software/system software
  • /natural sciences/computer and information sciences/artificial intelligence/computer vision
  • /natural sciences/computer and information sciences/software
  • /natural sciences/computer and information sciences/artificial intelligence

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

OZ EHF
Address
Skalholtsstig 7
101 Reykjavik
Iceland
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000