VisionGuard Pro: Advanced Security System
In an ever-evolving landscape of security challenges, the need for advanced and adaptable safety monitoring systems has become paramount. This paper presents a security system that redefines safety and environmental monitoring by integrating advanced technologies into a seamless, all-in-one solution. Unlike traditional systems that rely on isolated components, our project combines motion sensors, door/window sensors, servo-mounted webcams, and sophisticated object detection capabilities, all orchestrated through the synergistic use of Raspberry Pi and ESP32 platforms. This integration enables real-time, dynamic surveillance and control, significantly enhancing security responsiveness. The system's object detection technology further refines its ability to identify potential threats, providing a nuanced understanding of the monitored environment. For our research project, we leverage Yolo World V8 and face recognition AI to enhance our object detection and recognition. Wireless connectivity ensures extensive and flexible coverage, while a dedicated server and mobile application streamline data processing and user interaction. Our project not only surpasses current market offerings in terms of efficiency and adaptability but also offers unparalleled customization, meeting the evolving security needs of our users with unmatched precision.
Authors
- Jafar Saniie (ORCID: https://orcid.org/0000-0002-2655-6950)
- Tianyang Fang (ORCID: https://orcid.org/0009-0007-8741-0473)
- Joanna Findura
- M. Gromov
- Guillaume Hansen
- James R. Benson
Institutions
- Illinois Institute of Technology (US)
Publication Details
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1109/eit64391.2025.11103644
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00