Volume: 2 Issue: 1
Year: 2025, Page: 23-28, Doi: https://doi.org/10.70968/ijeaca.v2i1.D1013
Received: Jan. 12, 2024 Accepted: June 18, 2025 Published: June 30, 2025
Automated security systems are progressively adopted public areas such as building lobbies to enhance safety and restrict unauthorized entry. These systems play a decisive role in tracking visitor movements and ensuring secure access. This paper presents an innovative security framework designed for lobby environments, utilizing the Support Vector Machine (SVM) algorithm for intelligent data analysis. The proposed system integrates several components, including a network of surveillance cameras for image and video capture, environmental sensors to monitor surrounding conditions, and an SVM-based decision-making module. The choice of SVM is driven by its strong ability to classify data accurately by learning from labeled inputs, Optimizing its use for real-time security assessment and threat detection.
Keywords: Automated Security for Lobby
© 2025 Deshpande et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Deshpande M, Hanchate V, Kulkarni M, Kamathe R, Borde S, Kalagapure S, Joshi K, Borse H. (2025). Automated Security for Lobby. International Journal of Electronics and Computer Applications. 2(1): 23-28. https://doi.org/10.70968/ijeaca.v2i1.D1013