AI-Powered Golf Simulation for Skill Enhancement

Project Overview we developed an advanced AI-driven golf simulation system that enables players to enhance their golfing skills in an enclosed space. The system captures real-time data from high-speed cameras as the user swings, then predicts the expected trajectory of the golf ball on a real-world course. The predicted path is visualized on a large screen, offering an immersive and data-driven training experience.

Objectives

  • To provide an AI-powered indoor golfing experience that replicates outdoor gameplay.
  • To analyze user swings and ball impact to predict realistic trajectories.
  • To enhance user skill development through accurate feedback and analytics.
  • To create a cost-effective and accessible golf training solution.

Technology Stack

  • High-Speed Cameras: Captures real-time motion data of the golf swing and ball impact.
  • AI Model: Processes captured data and predicts the ball’s expected path.
  • Computer Vision Algorithms: Analyzes swing patterns and ball motion.
  • Simulation Engine: Renders real-world golf course visuals with predicted trajectory.
  • Big Screen Projection: Displays expected ball path for an immersive experience.

Implementation

  1. Data Collection:
    • High-speed cameras track club movement, ball velocity, and angle at impact.
    • The AI model processes the input data, identifying key swing metrics.
  2. AI Prediction Model:
    • Machine learning algorithms trained on real-world golf course data predict the ball’s flight path.
    • Factors such as speed, angle, spin, and environmental conditions are considered.
  3. Visualization & Feedback:
    • The projected trajectory appears on a large display, simulating an outdoor course.
    • Users receive instant feedback on their performance with recommendations for improvement.
  4. Performance Analytics:
    • Players can access historical data and trend analysis to track their progress.
    • AI-driven insights provide suggestions on swing adjustments and technique refinement.

Results & Impact

  • Enhanced Training Experience: Users can practice in a controlled environment with accurate trajectory predictions.
  • Skill Improvement: Real-time feedback helps golfers refine their technique effectively.
  • Accessibility & Convenience: Enables training without requiring access to an actual golf course.
  • Cost-Effective: Reduces dependency on expensive outdoor golf training facilities.

Conclusion This AI-powered golf simulation system has transformed the way players train indoors. By leveraging high-speed cameras, AI trajectory prediction, and immersive visualization, the system provides an innovative and effective solution for golf skill enhancement. Techavtar remains committed to pushing the boundaries of AI in sports training, paving the way for future advancements in athletic development.