Surveil Guard: Intelligent Surveillance - Detecting, Reporting, and Alerting

Authors

  • S. Hariprasath UG Scholar, Department of AI & DS, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India. Author
  • A. Harihara Sudhan UG Scholar, Department of AI & DS, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India. Author
  • S. Keerthi Vasagan UG Scholar, Department of AI & DS, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India. Author
  • P. Roy Sudha Reetha Assistant Professor, Department of AI & DS, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2024.0390

Keywords:

Intelligent Surveillance, Anomaly Detection, Real-Time Reporting, Automated Security, Video Analytics, YOLO, Twilio, CLIP, Power BI

Abstract

As security challenges evolve, traditional surveillance systems often fall short in effectively identifying and responding to real-time threats. This paper introduces SurveilGuard, a novel, AI-powered surveillance framework designed to autonomously detect, report, and respond to abnormal activities such as fighting, smoking, hugging, and other predefined behaviors in real time. Leveraging motion-triggered camera activation via the ESP32-CAM and powerful anomaly detection models like YOLO for activity recognition, SurveilGuard offers a seamless integration of video capture, behavior analysis, and incident reporting. When abnormal activities are detected, the system sends real-time alerts using Twilio and automatically generates detailed reports enriched with video evidence and contextual data using CLIP for image-text matching. These reports are securely stored and easily accessible via a web interface for authorized personnel, enhancing situational awareness and operational response. Additionally, Power BI is employed for data visualization, allowing for comprehensive reporting and interactive dashboards. SurveilGuard represents a significant advancement in automated surveillance, offering a scalable solution for real-time security monitoring with minimal false alarms, empowering security teams to respond quickly and effectively.

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Published

2024-12-19

How to Cite

Surveil Guard: Intelligent Surveillance - Detecting, Reporting, and Alerting. (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(12), 2821-2827. https://doi.org/10.47392/IRJAEH.2024.0390

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