AI brings an Immersive experience to Sports Broadcasts
                     AI BRINGS AN IMMERSIVE 
EXPERIENCE TO SPORTS 
BROADCASTS
https://datasportsgroup.com/
Augmented reality’s application has pushed past its previous conceptions and has tremendously 
increased in its scope. In the Sports world, augmented reality is being used to keep a track of 
player performance. Sports broadcasters and streaming platforms are always out on the hunt for 
new ways to keep customers hooked with real-time stats and scores. Data Sports Groups
 combines the use of Artificial Intelligence (AI) and Machine Learning (ML) to harness the real 
potential of data.
With the help of AI, Sports data solutions are readily available to solve age-old problems and to 
collect the most relevant and extract specific metadata as well. 
With the help of AI Data Sports Group 
can boost your organization's 
viewership across platforms, as well as 
help in revenue generation.
Data Sports Group is able to surpass its competition by coming up with an AI-based technique that 
enhances camera calibration making it fast and flexible.
The ability to provide sports data feed with crisp and ball to ball accurateness is possible with the 
visual tracking systems but an AR system is being used by broadcasters to make the viewing 
experience more engaging. To understand the AR use in its perfect sense you could compare it 
with Virtual 3 viewing in basketball and NFL’s First Down Line.
Sports data analytics companies can provide an enhanced view with the help of high-quality 
camera calibration which was otherwise restricted by already-calibrated, or fixed cameras.
Though the use of such cameras is impossible in crowded areas like basketball matches. Data 
Sports Group has worked on this limitation, guided by research, an innovative neural network is 
devised to combine the use of semantic division, camera position initialization, and lastly 
homography refinement to form one network architecture. Thus, minimizing the lag in making the 
live broadcast available for consumption,
the inference time is reduced to a mind-boggling 4 milliseconds. The solution is flexible and can be 
implementedin previously challenging areas like basketball or a slow environment like soccer. 
Thus overall, the whole sports community could undergo a revolution where previously sporting 
events required many cameras to get a detailed picture of the player’s performance. Now the 
number of cameras would be limited since their calibration capabilities are increased and overall 
it would help create more sports data stats by improving its insight.
CONTACT US
Emai [email protected]
Phone - +1 (704) 964-6859
Address - 2600 Kinmere Dr
City – Gastonia
State - North Carolina
PIN – 28056
Country - USA