Trinetra – An AI-powered Crowd Density Monitoring and Early Warning System for public safety

Anushka Gadhave, Durgeshwari Madavi, Sakshi Tambe, Hemant Shinde

AI-driven crowd monitoring, threat detection, real-time analysis, urban security, large-scale events, public safety, anomaly detection.

An AI-powered crowd monitoring system is proposed to improve security at large events like the Kumbh Mela and in urban areas. Traditional surveillance systems struggle to process large amounts of real-time data. By using computer vision and machine learning, the system can analyze video feeds, detect unusual crowd behavior, and send real-time alerts. This helps authorities respond quickly to potential threats and manage crowds more effectively, improving overall public safety.

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Registration ID: IJVRA_702675   Published ID: IJVRA2603929

"Trinetra – An AI-powered Crowd Density Monitoring and Early Warning System for public safety", IJVRA - International Journal of Versatile Research and Analysis (www.IJVRA.org), ISSN:2984-8903, Vol.4, Issue 3, page no.148-152, March-2026, Available :https://ijpub.org/ijvra/papers/IJVRA2603929.pdf

Pages : 148-152

Paper Reg. ID: IJVRA_702675

Published Paper Id: IJVRA2603929

Research Area: Other area not in list

Country: PUNE, Maharashtra, India

Published Paper PDF: https://ijpub.org/IJVRA/papers/IJVRA2603929

Published Paper URL: https://ijpub.org/IJVRA/viewpaperforall?paper=IJVRA2603929

ISSN: 2984-8903 | IMPACT FACTOR: 9.12 Calculated By Google Scholar | ESTD YEAR: 2023

An International UGC CARE JOURNAL PUBLICATION Low Cost (₹599), Scholarly Open Access, Peer-Reviewed, Refereed Journal Impact Factor 9.12 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage, Crossref DOI Member Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJVRA (IJ Publication) Janvi Wave

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