An Advanced IoT Based Border Surveillance and Intrusion Detection System

Border surveillance and security have become increasingly critical in an ever-changing global landscape, where the need to safeguard national boundaries against potential threats is paramount. To meet these challenges, the integration of advanced technologies has become essential. This paper proposes an innovative Internet of Things (IoT)-based Border Surveillance and Intrusion Detection System that leverages a network of interconnected sensor technologies. The aim is to address the limitations of traditional border security system by providing real-time monitoring, enhanced situational awareness, and precise intrusion detection capabilities. This paper proposes a low-cost system that uses various sensors like IR sensor, PIR sensor, TF miniS Lidar sensor, Seismic sensor, Acoustic sensor and also, we have used integrated alarms system Arduino Uno and Arducam in our proposed model. The data captured by the system can be uploaded to a cloud server and accessed through a web and desktop application from a base station. Additionally, the system can analyze the data and send alerts to the base station. We can try and modify this proposed architecture to increase security measures at border areas.