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AI system detects illegal bowling actions in cricket using computer vision

Researchers have developed a deep learning system using computer vision to detect illegal bowling actions in cricket. The system analyzes the angle of a bowler's arm between the shoulder and release frames, flagging deliveries where the angle exceeds a 15-degree threshold as potentially illegal. This novel approach, tested on a dataset of 62 videos, aims to provide real-time monitoring for fair play, though further validation on larger and more diverse datasets is needed for generalizability. AI

IMPACT Could enhance fair play in sports by providing automated real-time officiating.

RANK_REASON Academic paper detailing a novel AI application. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI system detects illegal bowling actions in cricket using computer vision

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Academic paper detailing a novel AI application. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Debopom Sutradhar, Niful Islam, Sudipto Mondal, Tasmima Hossain Jamim, Jubaer Muhammad Shufol, Swakkhar Shatabda ·

    Deep Learning Based Illegal Bowling Action Detection

    arXiv:2610.07223v1 Announce Type: new Abstract: Cricket, often referred to as the "gentleman's game," adheres to a strict rule set for both batsmen and bowlers, where each delivery can significantly impact the match outcome. Detecting illegal bowling actions is crucial for mainta…