Engineering a multi-sensor surveillance system with secure alerting for next-generation threat detection and response
Mohammad Naim Uddin, Hussain Nyeem
Abstract
This paper presents an advanced Surveillance Warning System (SWS) designed for next-generation video surveillance applications. While contemporary alert systems have improved analytics engines, their binary threat detection using only optical imaging sensors has limitations in low-light conditions, system security, and multilevel threat detection (i.e., low, moderate, and critical). Our approach integrates a novel alert module with an enhanced video analytics engine, contributing to a comprehensive framework integrating surveillance, access control, multilevel threat detection, and multi-tiered alert routing. We develop a Video Surveillance and Motion Detection (VSMD) application utilizing optical imaging, Passive Infrared (PIR), and fingerprint sensors for multilevel threat assessment, access control, and security. Unlike existing systems, we develop an intelligent alert module generating threat-specific alerts transmitted securely through cellular phones, the Internet, and encrypted radio frequency (RF) signals, significantly enhancing real-time threat awareness and response capabilities. Validation against existing solutions highlights the system's adaptability, rapid response, and overall security advancements in video surveillance.