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Serving Image And Video Data For Processing And Sports Based Analytics

Serving Image And Video Data For Processing And Sports Based Analytics

For AI based sports analytics to deliver actionable insights, the camera system has to be robust enough to capture video data in a form that can be analysed by the algorithms. This requires cameras to have the following capabilities:

  • 1080p or 4k streaming
  • High dynamic range
  • Multi camera support and 180 degree stitching
  • IP rated enclosure
  • Compatibility with embedded platforms

The right resolution enables the camera system to zoom in on a particular area of the field (say players, ball etc). High dynamic range ensures reliable video capture in changing lighting conditions. Multi camera support helps in synchronized operations while 180 degree stitching helps to capture the full view of the field. IP rated enclosures give protection against harsh outdoor weather conditions. Compatibility with embedded platforms is important for edge based processing and analysis. These features also contribute to an enhanced viewing experience.

To learn more about the camera related features of automated 스포츠중계 system and how to choose a camera for it, have a look at the article choosing the right camera for automated sports broadcasting – everything you need to know.

Embedded vision in automated sports broadcasting – what the future holds

Most of the automated sports broadcasting solution providers work on a model where they install the devices free of cost for the venue owners. They generate revenue by charging a subscription fee for the live streaming services – from all viewers including parents, fans, team managers, and coaches – and the AI based analytics and insights – for coaches and team managers – they offer using the video analytics platform. Since the revenue depends on the kind of insights these platforms can provide, we are likely to see many more new gen AI based use cases emerging in sports analytics in the coming years. This will also require cameras to evolve to be able to capture videos in a form that can be analysed by the AI engine.

It is interesting to note that advancements in embedded vision have had a significant impact on the growth of the AI-driven automated sports broadcasting market. The ability to do edge based processing with the increase in computing power of processing platforms has also fuelled this growth. Just to put things in perspective, one of the leading providers of automated sports broadcasting solutions already had its system installed in about 6500 venues across the world as of March 2020. So automated sports broadcasting is here to stay and grow. And given that every one of these devices needs a camera, the future embedded vision holds in this segment is very shiny.

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