International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 2
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Visionflow AI: Real-Time Crowd Detection and Safety Automation System

Author(s) Keerthana Gigi, Dr. Shajeni Justin
Country India
Abstract Traditional crowd monitoring methods relied on basic image processing techniques such as background subtraction, which often lacked accuracy in dynamic environments and were sensitive to lighting variations and occlusions. With the advancement of Artificial Intelligence and deep learning, more robust and real-time crowd analysis systems have emerged, enabling accurate people counting, density estimation, and predictive insights for improved safety and management.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-17
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E-ISSN 2582-2160
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