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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21579
Article Published : 8531
Total Authors : 22438
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | AI Enhanced Surveillance Using Existing CCTV Networks for Crowd Management, Crime Prevention and Work Monitoring |
| Authors Name: | G Vishwas sai , V Raghunadan , Darshan V , Shravan M |
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IJRTI_207954
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| Published Paper Id: | IJRTI2511167 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | In today’s fast-changing urban world, keeping our public spaces safe requires more than just passive monitoring. Traditional CCTV systems often do little more than record footage, leaving the demanding task of real-time observation entirely to human operators — a job that can be overwhelming and prone to fatigue. This paper introduces a human-centered AI Surveillance System built to strengthen, not replace, human decision-making. By combining object detection, crowd analysis, and anomaly recognition in a single intelligent framework, the system delivers real-time alerts that are easy to interpret and act upon. Unlike many AI solutions that aim for full automation, this approach is rooted in collaboration between people and technology, prioritizing clarity, efficiency, and ethical use. The results show that powerful, intelligent automation doesn’t always require high-end hardware —it can be practical, scalable, and socially responsible, paving the way for safer and smarter cities. |
| Keywords: | AI Surveillance, CCTV Networks, Crowd Management, Crime Prevention, Object Detection, Anomaly Recognition, Human-Centered Design, Privacy Protection |
| Cite Article: | "AI Enhanced Surveillance Using Existing CCTV Networks for Crowd Management, Crime Prevention and Work Monitoring", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b588-b591, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511167.pdf |
| Downloads: | 000208 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2511167
Registration ID:207954
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: b588-b591 Country: Bangalore, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511167 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511167 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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