CricketAnalyzer: A Parallel HPC-Accelerated System for Real-Time Cricket Ball Tracking and Speed Detection

CricketAnalyzer: A Parallel HPC-Accelerated System for Real-Time Cricket Ball Tracking and Speed Detection | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 7 August 2025 V1 Latest version Share on CricketAnalyzer: A Parallel HPC-Accelerated System for Real-Time Cricket Ball Tracking and Speed Detection Authors : Tassadaq Hussain , Muhammad Haris 0009-0005-3494-9868 , Amna Haider , and Soltan Alharbi Authors Info & Affiliations https://doi.org/10.22541/au.175456859.94010958/v1 323 views 164 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Accurate real-time detection of moving object speeds in high-velocity sports like cricket, soccer, tennis, and golf is essential for performance analytics, coaching decisions, and broadcasting improvements. Traditional radar guns are accurate but costly, inflexible, and provide limited analytics in controlled environments only.This paper presents CricketAnalyzer, a vision-based application for real-time cricket ball speed estimation using cameras with varying resolutions and data rates. The system integrates Multi-Region of Interest (Multi-ROI) architecture with parallel Large Vision Transformer (ViT) and Segment Anything Model (SAM) for efficient object detection and motion tracking under dynamic conditions including varying lighting, weather, and camera placement. To enhance small object detection, we introduce a modified YOLOv8 featuring Split Cross-Stage Partial Network with Two-Level Feature Fusion (Split-C2F) optimized for high-precision detection of cricket balls and stumps. Real-time performance is achieved through data-level parallelism using four nodes of the Namal Pak Supercomputing cluster. CricketAnalyzer supports various cameras (RTSP streams, USB, GMSL, GoPro) at 30-240 FPS. Results demonstrate 0.943 precision and 0.904 recall in ball detection, with ±1% speed estimation error and >90% frame-wise tracking consistency. This scalable, cost-effective solution enables continuous ball trajectory computation at high frame rates, offering optimized sports analytics through parallel deep learning inference. Supplementary Material File (cricketanalyzer a parallel hpc accelerated system for real time cricket ball tracking and speed detection.pdf) Download 4.24 MB Information & Authors Information Version history V1 Version 1 07 August 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords ball tracking cricketanalyzer ip camera motion analysis object detection real-time speed detection Authors Affiliations Tassadaq Hussain Namal University View all articles by this author Muhammad Haris 0009-0005-3494-9868 Namal University View all articles by this author Amna Haider Namal University View all articles by this author Soltan Alharbi University of Jeddah View all articles by this author Metrics & Citations Metrics Article Usage 323 views 164 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Tassadaq Hussain, Muhammad Haris, Amna Haider, et al. CricketAnalyzer: A Parallel HPC-Accelerated System for Real-Time Cricket Ball Tracking and Speed Detection. Authorea . 07 August 2025. DOI: https://doi.org/10.22541/au.175456859.94010958/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. 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