Innovative security solutions: context-aware facial recognition system using VB.NET

Authors

  • Ammad Hussain Department of Computer Science, Institute of Southern Punjab, Multan, Pakistan.
  • Muhammad Azam Department of Computer Science, Institute of Southern Punjab, Multan, Pakistan.
  • Shehr Bano Department of Computer Science, Institute of Southern Punjab, Multan, Pakistan.
  • Ahmad Nasir Department of Computer Science, Institute of Southern Punjab, Multan, Pakistan.
  • Malik Abdul Manan Department of Computer Science, Beijing University of Technology, Beijing, China.

DOI:

https://doi.org/10.47264/idea.ajset/2.1.4

Keywords:

Smart security, Facial recognition, Real-time monitoring, Threat detection, Image processing, Context awareness, Automation security system, Intelligent security

Abstract

A sophisticated VB.NET intelligent security system is presented in this paper to meet the needs of comprehensive security surveillance in varied contexts. The system's context-aware architecture lets it adapt to environmental changes and assess user activity for better security. The system uses real-time data to reduce false alarms and ensure fast security measures using reactive alerts and reaction processes. The system's novel security features, built on VB.NET, provide flexibility and quick reactions to emerging threats. This research shows that intelligent security monitoring technologies have achieved a peak, with excellent performance, and are ready for implementation in controlled-access public spaces. The system reacts to the surroundings and detects the subject behaviour. The system may now access new conceptual words for security issues that demand more focused solutions. A system with capabilities encourages security protocol innovation and maintains secure public spaces. This innovative technique increases security, scalability, and future flexibility for security systems. In the hunt for creative, secure areas with intelligent monitoring and danger detection, the example of an intelligent security system is impressive.

Published

2023-12-31

How to Cite

Hussain, A., Azam, M., Bano, S., Nasir, A., & Manan, M. A. (2023). Innovative security solutions: context-aware facial recognition system using VB.NET. Asian Journal of Science, Engineering and Technology (AJSET), 2(1), 33–49. https://doi.org/10.47264/idea.ajset/2.1.4

Similar Articles

You may also start an advanced similarity search for this article.