Design, Development, Deployment and Performance Evaluation of Pyroelectric Infra-Red and Optical Camera based Intrusion Detection Systems in an Outdoor Setting

Abstract

The primary contribution of this thesis is the comprehensive design, development, and deployment of a pyroElectric, InfraRed-sensor-based IntruSion classification (EIRIS) platform, along with attendant detection and classification algorithms and performance evaluation. While the use of Pyroelectric InfraRed (PIR) sensors to detect human motion in an indoor setting has been extensively studied in the literature, there is considerably less research in comparison which deals with the use of PIR sensor in an outdoor environment. The outdoor environment poses additional challenges in the form of the presence of animals, moving vegetative clutter and environments in which the ambient temperature is close to that of the human body. An additional contribution of the thesis, is the development of a separate, optical-camera-based sensing platform termed as LITE (short for Light-based Intrusion classificaion system) which is designed to be used as a sensing modality complementary to the EIRIS platform, that could step in situations where the accuracy of the EIRIS platform was compromised by adverse ambient-temperature conditions