Archive for the ‘ni_vision_assistant’ Category

In the past, coaches and players on the Malaysia national badminton team analyzed players and opponents based on a video system.  This system required an individual to manually code player motions and shots played from previously recorded matches. While this system improves the individual player and the team, it is time consuming for the individual doing the coding. When professors at Monash University were approached to develop a new system, they knew that NI tools could help them create the most efficient system possible.




Using a camera to record the badminton matches, NI Vision Assistant, and NI LabVIEW software, the researchers created a system that can track the foot of the player and analyze his or her number of rallies, motion density, and motion trajectory.  Current coaching software requires approximately half a day to manually process a one-hour video file, but this system requires only 10 to 15 minutes for processing the same video file. Now the Malaysia national badminton team can improve performance in days rather than weeks.





>> Check out the case study here.