[ad_1]
I went to see HomeCourt and how it could improve my game. I tried it with Joe Harris of Brooklyn Nets. Harris won all three points of this year's shootout and led the NBA with a three-point mark. He is a big supporter of HomeCourt and plans to use the app at his youth basketball camp every summer.
"We are in the era of analysis and technology, and whenever you can use that to help you improve, to get better, I am very supportive," Harris said.
Going against the three-point defending champion was not a joke.
The application clearly indicated that my launch angle was bigger than his or, to put it another way, I had too much bow in my shot compared to Harris. My reaction time was also much slower because Harris could be shot half the time. It never occurred to me that my shots were so much slower until I saw the digital statistics in the application.
Another thing that the application could point out was the path of my shots. The arches are drawn on each other. In my case, the arches are everywhere, which suggests a lack of coherence. No wonder Harris, the best shooter in the NBA, has a consistent arc that is exactly the same for every shot.
By the way, Harris has made 80% of his shots and I have 20%. The application had no problem counting them because it can determine if the ball goes in the basket.
"Instead of counting your own shots and asking a coach to count your marks, this is very specific, especially advanced metrics," said Harris. He specifically mentioned the release angle as a metric that he considered important. "It's something that I would really like to have grown up."
HomeCourt is financially supported by Steve Nash, retired NBA legend, current NBA player Jeremy Lin, former NBA leader Sam Hinkie and current team owner Mark Cuban. Nash and David Lee, co-founder and CEO of Nex Team, explained the technology behind HomeCourt at Apple's key event in September.
The applications of this technology are widespread and go far beyond sport. Computer vision is a broad technology that can be used in many fields. "I think one of the most prevalent use cases concerns autonomous automotive technology because it also allows you to use computer vision to detect different things," Wu said.
– CNBC
Jessica Golden
Contributed reports.
[ad_2]
Source link