AI-Powered Disguise Detection in Surveillance

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Authors: Cherukuri Rakshitha, Balabadruni Jogeswar Rao, Pathivada Manasa, Buddharaju Sahasri, Mrs. S. Neeraja
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Abstract

This research work introduces an improved AI system for disguise detection in surveillance video footage. Its main aim is the improvement of security measures in public and private institutions. This system uses the most advanced machine learning approach in the detection of people who intend to conceal their identities through the use of masks or other forms of disguise. This system especially targets the misuse of disguises in video surveillance systems. Its approach is the promotion of the development of quicker and more accurate security alerts as well as the creation of safe AI environments for surveillance.

Fields of Study & Subjects

Video Surveillance and Tracking Methods Face recognition and analysis Advanced Neural Network Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
EN