TITLE
DEVELOPMENT OF AN IP CAMERA SYSTEM USING MACHINE LEARNING FOR THE PURPOSE OF PRIVACY PROTECTION
AUTHOR(S)
Oliver Popović, Nikola Nikolić, Vladica Ubavić, Marina Jovanović-Milenković, Marko Asanović, Ivana Buzdovan
ABSTRACT
The rapid evolution of technology and the Internet have profoundly influenced the advancement of video surveillance systems. In contemporary video surveillance systems, camera-recorded content has the potential to be publicly accessible via the Internet. However, the widespread deployment of such cameras has raised concerns about privacy violations, as these devices capture extensive footage of individuals and activities. To address these
concerns and safeguard privacy, various technologies and software solutions have been deployed. This paper elaborates the architectural design and development of a system that use machine learning techniques to obfuscate individuals' faces within recorded materials. By employing machine learning, the proposed system ensures that the identity of individuals remains protected, both in publicly available content and in cases of unauthorized
access, granting exclusive access to the original, unobscured content only to authorized personnel.
DOI
PAGES
144-148
DOWNLOAD
https://unitechsp.tugab.bg/images/2023/4-KS/s5_p38_v3.pdf
How to cite this article:
Oliver Popović, Nikola Nikolić, Vladica Ubavić, Marina Jovanović-Milenković, Marko Asanović, Ivana Buzdovan, DEVELOPMENT OF AN IP CAMERA SYSTEM USING MACHINE LEARNING FOR THE PURPOSE OF PRIVACY PROTECTION, Proceedings of International Scientific Conference “UNITECH 2023” – Gabrovo, 144-148