Advance Digital Cricket Simulator with Integrated Performance and Fitness Analysis

  • Unique Paper ID: 177519
  • PageNo: 8655-8662
  • Abstract:
  • This project introduces a next-generation cricket simulator designed to transform traditional training methods through advanced technology integration. The system combines a digitally programmable bowling machine, an LED-based bowler animation display, and a machine vision video replay system to create a realistic, data-driven, and immersive training environment tailored for professional cricketers and coaches. The programmable bowling machine is capable of delivering a wide variety of deliveries with precision, enabling customized training sessions that simulate match conditions. The LED based bowler animation display projects full-scale, high-fidelity visuals of real bowlers to provide a lifelike experience, improving a batsman's timing, anticipation, and decision-making under pressure. At the heart of the simulator is a machine vision-based video analysis system, employing high-speed cameras to capture detailed footage of player movements. This system enables post-session analysis of key performance and fitness parameters such as head position, footwork, balance, shot execution, and body alignment. By providing slow-motion replays and annotated breakdowns, it facilitates biomechanical assessment and technical feedback without the need for wearables or intrusive sensors. The simulator's real-time feedback and data analytics offer coaches and athletes deep insights into individual performance, helping to refine technique, enhance physical conditioning, and reduce injury risks. This evidence-based approach to training supports precise intervention and continuous improvement. With its integrated use of intelligent technology, realistic simulation, and analytical depth, this cricket simulator represents a significant leap forward in modern sports training.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{177519,
        author = {Gokul S and Vaniprabha and Jeyaraman S},
        title = {Advance Digital Cricket Simulator with Integrated Performance and Fitness Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8655-8662},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177519},
        abstract = {This project introduces a next-generation 
cricket simulator designed to transform traditional 
training methods through advanced technology 
integration. The system combines a digitally 
programmable bowling machine, an LED-based bowler 
animation display, and a machine vision video replay 
system to create a realistic, data-driven, and immersive 
training environment tailored for professional 
cricketers and coaches. The programmable bowling 
machine is capable of delivering a wide variety of 
deliveries with precision, enabling customized training 
sessions that simulate match conditions. The LED
based bowler animation display projects full-scale, 
high-fidelity visuals of real bowlers to provide a lifelike 
experience, improving a batsman's timing, anticipation, 
and decision-making under pressure. At the heart of the 
simulator is a machine vision-based video analysis 
system, employing high-speed cameras to capture 
detailed footage of player movements. This system 
enables post-session analysis of key performance and 
fitness parameters such as head position, footwork, 
balance, shot execution, and body alignment. By 
providing slow-motion replays and annotated 
breakdowns, it facilitates biomechanical assessment 
and technical feedback without the need for wearables 
or intrusive sensors. The simulator's real-time feedback 
and data analytics offer coaches and athletes deep 
insights into individual performance, helping to refine 
technique, enhance physical conditioning, and reduce 
injury risks. This evidence-based approach to training 
supports 
precise 
intervention 
and continuous 
improvement. With its integrated use of intelligent 
technology, realistic simulation, and analytical depth, 
this cricket simulator represents a significant leap 
forward in modern sports training.},
        keywords = {Machine vision, Cricket Simulator, IR  sensor frame, Skill development, Image Processing, Ball  throwing machine.},
        month = {May},
        }

Cite This Article

S, G., & Vaniprabha, , & S, J. (2025). Advance Digital Cricket Simulator with Integrated Performance and Fitness Analysis. International Journal of Innovative Research in Technology (IJIRT), 11(12), 8655–8662.

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