Real-Time Intrusion Detection for Home Security: Using Machine Learning
This is the time of the advancement of technology.Here every day new automated technology comes in the market.We are using these technologies in our dayto-day life and industrial advancement.But some time we are facing some issues that are till now unsolved or partially solved.In this paper we are working on one of the security issues.The "Real-Time Intrusion Detection" system presents an advanced security solution utilizing the synergy of image processing technology, ML techniques, and artificial intelligence to enhance monitoring systems.The system is designed to recognize known faces, detect the presence of unknown individuals, analyze sentiment, and identify potential threats, including weapons, in real time.The research aims to improve the responsiveness and efficiency of security protocols by providing live updates, including images of suspicious individuals, to security personnel.This innovative solution could greatly enhance safety and situational awareness in sensitive areas such as airports, banks, and corporate offices by automating threat detection and decisionmaking processes.
Authors
- Naman Sharma (ORCID: https://orcid.org/0000-0002-7151-7360)
- Mohd Moinuddin Mudassir
- Alefiya Hussain (ORCID: https://orcid.org/0000-0002-4944-8338)
- Aseem Bhatnagar (ORCID: https://orcid.org/0000-0003-1923-4598)
- Mr. Vinay K. Pant
- Ms. Bindu Rani
Publication Details
- Journal
- International Journal of Research Publication and Reviews
- Published
- 2025-05-01
- DOI
- https://doi.org/10.55248/gengpi.6.sp525.1933
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00