Sports Analytics

Built an AI-driven sports analytics platform that detects players, tracks movements, recognizes jersey numbers, and classifies sports types from video footage.
Platform Developed
Android
Web

Overview

Manual video reviews limited accuracy and scalability in sports analysis. A multi-model system using YOLO, EasyOCR, ByteTrack, and InceptionNet was developed for detection, tracking, and classification across football, basketball, hockey, and tennis. This enabled real-time insights, consistent analytics, and a scalable foundation for advanced sports intelligence.
 

Problem

  • Sports organizations and analysts often rely on manual video review for extracting performance insights, which is time-consuming and inconsistent.
  • There’s a growing need for AI-driven tools that can automatically detect players, track movements, recognize jersey numbers, and classify game types across multiple sports.

Solution

  • Multi-Sport Detection & OCR Integration: Used YOLO models and EasyOCR to detect players and accurately recognize jersey numbers across basketball and football videos.
  • Team Classification & Tracking: Applied color-based KMeans clustering and YOLO + ByteTrack to classify teams and consistently track player movements in ice hockey and football.
  • Tennis-Specific Analysis: Deployed YOLOv12n for tennis player and ball tracking, with additional logic to calculate speed metrics from positional data.
  • Sport Classification via Deep Learning: Trained an InceptionNet model to automatically classify sports type (e.g., Soccer, Basketball, Tennis) from raw video inputs.

Key Business Outcomes

  • Comprehensive CV Model Performance: Achieved accurate real-time detection, jersey OCR, and object tracking across diverse sports scenarios.
  • Proven Model Versatility: Validated YOLO’s adaptability for multi-sport analytics and integrated deep learning classification.
  • Foundation for Scalable Sports Intelligence: Demonstrated scalable AI capabilities for building future real-time, analytics-driven sports platforms.

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Office Locations
Development Centre
Chennai
NO. 07, Kumaran Nagar, 200 Feet Radial Road,
Zamin Pallavaram, Chennai,
Tamil Nadu - 600117
Registered
Address
Nazareth
Registered Address
Nazareth
13, Agapaikulam 8th Street,
Sathankulam Road, Nazareth,Tuticorin,
Tamil Nadu 628617.
US Office
United States
2093 Philadelphia, Pike,
#5056 Claymont,
DE 19703, United States.
Singapore Office
Singapore
101 Cecil Street,
#20-11 Tong Eng Building,
Singapore 069 533.
Development
Centre
Nazareth
Selvan's Complex, 203,
Margoschis Road, Nazareth,
Tamil Nadu 628617.
Development
Centre
Tirunelveli
AP Towers No. A16, NGO 'A' Colony,
North Main Road, Tirunelveli,
Tamil Nadu - 627007
Development
Centre
Chennai
NO. 07, Kumaran Nagar, 200 Feet Radial Road,
Zamin Pallavaram, Chennai,
Tamil Nadu - 600117
Registered Address
Nazareth
13, Agapaikulam 8th Street,
Sathankulam Road, Nazareth,Tuticorin,
Tamil Nadu 628617.
US Office
United States
2093 Philadelphia, Pike,
#5056 Claymont,
DE 19703, United States.
Singapore Office
Singapore
101 Cecil Street,
#20-11 Tong Eng Building,
Singapore 069 533.
Development Centre
Nazareth
Selvan's Complex, 203,
Margoschis Road, Nazareth,
Tamil Nadu 628617.
Development Centre
Tirunelveli
AP Towers No. A16, NGO 'A' Colony,
North Main Road, Tirunelveli,
Tamil Nadu - 627007
Register Address
Nazareth
13, Agapaikulam 8th Street
Sathankulam Road, Nazareth,Tuticorin,
Tamil Nadu 628617
US Office
United States
2093 Philadelphia, Pike,
#5056 Claymont,
DE 19703, United States.
Singapore Office
Singapore
101 Cecil Street,
#20-11 Tong Eng Building,
Singapore 069 533.
Development
Centre
Nazareth
Selvan's Complex, 203,
Margoschis Road, Nazareth,
Tamil Nadu 628617.
Development
Centre
Tirunelveli
AP Towers No. A16, NGO 'A' Colony,
North Main Road, Tirunelveli,
Tamil Nadu - 627007
Development
Centre
Chennai
NO. 07, Kumaran Nagar, 200 Feet Radial Road,
Zamin Pallavaram, Chennai,
Tamil Nadu - 600117
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