Indian company brings affordable precision to line calls in badminton, Pg18

Key Highlights:

• Indian company Stupa received approval from the Badminton World Federation (BWF) for its indigenous Instant Review System (IRS).
• Stupa IRS achieves over 99% accuracy in line call decisions, meeting BWF certification requirements.
• The system can deliver decisions in 12-22 seconds, with efforts to reduce it to under 10 seconds.
• Stupa's solution reduces costs by 60-70% compared to existing technologies like Hawkeye.

Detailed Insights:

• Stupa's IRS utilizes Machine Learning (ML) models to predict and project shuttlecock trajectories, reducing dependency on heavy camera setups.
• The system addresses the unique challenges of tracking a shuttlecock, considering its material, tension, and impact dynamics during various shots like drop shots and smashes.
• Stupa aims to enable fully automated officiating in badminton, similar to tennis, by leveraging remote capabilities.
• The company overcame challenges related to perception of Indian innovation to gain trust from international clients and federations.
• The expansion of draws for Super 1000s in 2027 and the need to bring every match under referral underpin the importance of Stupa's solution.

Key Concepts Involved:

• Machine Learning (ML): A type of artificial intelligence that enables systems to learn from data without explicit programming.
• Badminton World Federation (BWF): The international governing body for the sport of badminton.
• Instant Review System (IRS): A technology used in sports to review line calls and other decisions.