Sports Vision is the world's first LLM (Large Language Model) for sports video understanding, designed to revolutionize athletic performance through advanced AI. It offers a comprehensive suite of tools for analyzing sports videos, extracting valuable insights, and providing actionable data to improve performance. The platform caters to athletes, coaches, and performance analysts, enabling them to learn, train, and compete more effectively. With its advanced motion understanding and data analysis capabilities, Sports Vision is setting new standards in sports analytics.
Paid
How to use Sports Vision?
Sports Vision is used by uploading sports videos to the platform, where the AI analyzes the footage to extract performance metrics and insights. Athletes and coaches can then review these insights to identify patterns, strengths, and areas for improvement. The platform's tools help in developing targeted training programs based on actual data, making the training process more efficient and effective. It's suitable for individual athletes, teams, and performance analysts across various sports disciplines.
Sports Vision 's Core Features
Advanced Video Understanding: The core platform uses AI to analyze sports videos, extracting detailed insights and performance metrics that were previously difficult to quantify.
Data Analyzer: Athletes and coaches can use the data analysis tools to gain actionable insights, helping to improve performance and strategy.
Real-time Analysis: Offers real-time video analysis, enabling immediate feedback and adjustments during training sessions.
Comprehensive Sports Coverage: Supports a wide range of sports, including basketball, diving, boxing, and taekwondo, making it versatile for different athletic needs.
Performance Metrics: Provides detailed performance metrics that help in tracking progress and identifying areas for improvement over time.
Mobile Accessibility: With iOS and Android apps, users can access insights and analysis on the go, ensuring they're always connected to their performance data.
Sports Vision 's Use Cases
College Basketball Teams: Teams use Sports Vision to streamline their video review process, identifying important patterns faster than traditional methods, allowing coaches more time to develop targeted improvements.
Individual Athletes: Solo competitors in sports like diving and taekwondo utilize the platform for technique analysis, helping them refine their movements and strategies based on data-driven insights.
Performance Analysts: Analysts leverage the AI-driven tools to provide detailed reports and dashboards, enhancing their ability to support athletes and coaches with actionable data.
Boxing Coaches: Coaches in boxing use the advanced analytics to monitor fighters' performance, tailoring training to address specific weaknesses and enhance strengths.
Sports Academies: Academies integrate Sports Vision into their training programs, offering students access to cutting-edge technology that accelerates learning and performance improvement.
