FastPong 4+

Interactive Table Tennis

FastPong

Designed for iPhone

    • 5.0 • 2 Ratings
    • Free

iPhone Screenshots

Description

FastPong is a smart table tennis training board powered by artificial intelligence (AI) and machine learning. It uses LED and a real-time feedback system connected to our mobile app. The lighting system divides the board into eight squares of 38cm x 38cm; each square is represented with a grid as a target. When a target lights up, it instructs the user on where to send the ball onto the other end of the table. The board sensors detect a player’s weaknesses and strengths and, after training, our app shows you your performance metrics and scores for your personalised training program.

What’s New

Version 4.0

bug fixes
new languages
UI improvement

Ratings and Reviews

5.0 out of 5
2 Ratings

2 Ratings

milena chib ,

So much fun!

I don’t play table tennis professionally and I just wanted to try out the table. The app is so easy to use and I feel like even people that don’t really want to train can enjoy playing on the device. I haven’t really been able to return balls in real ping pong before but having a visual target really helps and I feel pretty confident playing against my friends now too. It’s also just a really fun system with games and multiplayer modes. I can see why ping pong players might want to use it to train since it feels like a video game.

ChrissyKeller ,

Lots of Fun and Improvement

The FastPong application really helped improve my training! The games included were lots of fun, I couldn't stop playing. The multiplayer mode was my favorite, along with the blue vs green game. I could easily see my accuracy and speed improve throught the statistics provided on the application.

App Privacy

The developer, FastPong, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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