Sports

AI In Sports

Applying Artificial intelligence in sports industry.

Use Cases

Player and Ball Tracking

During a game, technology tracks and identifies participants as well as the ball. In sports like basketball, football, and tennis, it’s critical for doing performance analysis and making tactical decisions in real time during games.

Enhancing Viewer Experience

Technology is employed to create engaging viewing experiences by focusing cameras on key actions or analyzing fan reactions, adding a new dimension to sports broadcasting.

Real time Action Recognition in Sports

To facilitate fair scoring and precise performance analysis, identify players’ positions and motions by analyzing video information.

Crowd Monitoring

In crowd monitoring for sports enhances safety by estimating crowd density, detecting anomalies, and enforcing social distancing measures, optimizing crowd flow, and aiding emergency response planning.