The Challenge
Understanding the deceleration of a golf ball on a putt is crucial for players to fine-tune their performance and adapt to varying green conditions. Traditional measurement methods are manual and lack precision, making it difficult for players to consistently adjust their hits based on the putt’s surface. This project aimed to develop a proof-of-concept (PoC) computer vision solution to automate and accurately measure golf ball deceleration, providing actionable insights to players.
The Solution
Accelvision designed and implemented a PoC solution tailored for this application:
- Leveraged a SOTA Detection Model: Utilized a state-of-the-art object detection model to accurately track the golf ball’s movement across frames, enabling precise deceleration measurements.
- Automated Measurement Process: Created a streamlined process for players to upload putt videos and receive instant feedback on ball deceleration metrics.
- Adaptable to Various Conditions: Optimized the solution to handle different lighting and green conditions, ensuring accurate and reliable performance in diverse scenarios.
Key Outcomes
- Enhanced Player Insights: Enabled players to understand the impact of putt conditions on ball movement, helping them adjust their hits for better performance.
- Accurate Deceleration Measurement: Delivered precise calculations of golf ball deceleration, improving player feedback and training efficiency.
- Foundation for Future Development: Provided a scalable framework that could be integrated into a smartphone app or training tools for wider accessibility.
This project showcases Accelvision’s expertise in creating innovative computer vision solutions tailored to unique challenges, empowering users to achieve greater precision and performance in their activities.
