Landfort 64, Lelystad 8219AL
4025 River Mill Way
Mississauga, ON L4W 4C1, Canada
4A, Maple High Street
Hoshangabad Road, Bhopal, MP
Office 47, Oud Mehta Tower, 9th Floor, Next
to Wafi City, Umm Hurair Second, Dubai, UAE
AI-powered performance analytics system for data-driven decision-making in professional squash.
Building an accurate, real-time AI system to analyze squash performance from video data and convert it into actionable insights.
Accurately detecting players and tracking fast movements in a high-speed squash environment with frequent occlusions and camera angle changes.
Handling large volumes of match video data while maintaining performance, consistency, and real-time or near real-time analysis.
Converting raw computer vision outputs into meaningful performance metrics that coaches and players can easily understand and use.
A structured, AI-first approach to analyze squash performance using computer vision, deep learning, and data analytics.
Our Approach
A production-ready AI squash analytics platform delivered with scalable infrastructure and practical performance insights.
Delivered a complete system that processes squash match videos, analyzes player performance, and generates actionable insights.
Implemented robust computer vision models capable of tracking fast player movements and match dynamics with reliable accuracy.
Deployed the solution on Microsoft Azure to ensure scalability, performance, and secure handling of large video and analytics data.
Provided clear performance metrics and visual outputs that coaches, players, and analysts can easily use for decision-making.
Delivered measurable performance insights and a reliable AI-driven analytics system for squash players and coaches.
Let's discuss how we can build production-ready solutions for your organization.