High-Security Video Analytics Framework

Vidhya P., Navaneetha Krishnan P. S., Praveen T., Deva Prasanth B., Satheeshkumar K.

2025

Abstract

Surveillance systems play a crucial role in improving security and observing public places, but they often have poor image quality and face data security issues. To overcome these challenges in CCTV and video footage analysis, we propose a new web-based tool called High-Security Video Analytics Framework. The software significantly improves video quality, providing clearer visibility for critical details, such as vehicle number plates, and allowing for the classification of objects by features like brand, model, and color. In high-density environments, it offers people identification with physical characteristics like color of clothing, height, and accessories, resulting in functionality well-suited to ensure lane compliance and detect danger zones, and even analyse facial emotion for public well-being purposes. The framework also includes exchanges of real-time alerts like in cases to identify stolen vehicles through checkpoint which allows more efficient uses in high security areas. It safeguards video with encryption and protects data available during transmission in accordance with cloud security protocols to deter unwanted entry and shield data from harm. As a complete solution for public safety and situational awareness 5.0 a video analytic system able to overcome past limitations is based on image processing and machine learning models, with cloud security support. CCTV Analytics, Video Analysis, Vehicle Identification, Face Detection, Cloud Security, Real Time Alerts, Surveillance framework.

Paper Citation

in Harvard Style

P. V., S. N., T. P., B. D. and K. S. (2025). High-Security Video Analytics Framework. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 500-506. DOI: 10.5220/0013915600004919

in Bibtex Style

@conference{icrdicct`2525,
author={Vidhya P. and Navaneetha S. and Praveen T. and Deva B. and Satheeshkumar K.},
title={High-Security Video Analytics Framework},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={500-506},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013915600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - High-Security Video Analytics Framework
SN - 978-989-758-777-1
AU - P. V.
AU - S. N.
AU - T. P.
AU - B. D.
AU - K. S.
PY - 2025
SP - 500
EP - 506
DO - 10.5220/0013915600004919
PB - SciTePress