PANCHENDRIYA: A Multi-sensing framework through Wireless Sensor Networks for Advanced Border Surveillance and Human Intruder Detection

Nowadays, almost all countries are facing the problem of internal security from their border areas. Terrorists and intruders are disturbing the tranquillity and consonance of the country. The casualty prompted by the recent Pulwama strike and Uri attack against Indian military force reveals the significance of effective surveillance in the border region and detection of the human intruder in that area to control the terrorist activities on borders. Traditional border patrol systems require a huge number of military persons, and high-cost, hightech surveillance devices employed in unmanned border patrol systems. Line of sight restrictions and high false alarms are the problems experienced by using any of these techniques. There is a need in developing a multi-sensing system that integrates different technologies to detect the human intrusion with improved system accuracy in flat border areas, border areas with river or pond crossings and border areas covered by dry leaves. The paper proposes a hybrid Wireless Sensor Network system architecture named “PANCHENDRIYA”, utilizing the integration of five types of sensors: Geophones, Hydrophones, Microphones, Infrared sensors and Camera sensors for effective surveillance and detection of human intrusion in the abovementioned border scenarios with early warning capability.