SMART SECURITY SYSTEM WITH VOICE BOT

Abstract

This paper introduces a highly advanced video surveillance system that incorporates deep learning to enhance security and real-time monitoring. The system includes dangerous object detection, person recognition through facial recognition, and a voice bot for real-time alerts. Real-time notifications, frame-by-frame video parsing, and user-defined automation rules enable comprehensive and automated security solutions. This paper discusses the system architecture, models, and workflow, focusing on performance evaluations and real-world applications.