An Intelligent Surveillance System Based on IoT for Internal Security of a Nation

Abstract

Cross border terrorism and internal criminal activities are critical issues for any country to deal with. In India, such types of incidents that breach security are increasing and tracking such incidents depends only on the radio communications and the operations of security agencies. These security agencies face varied challenges to get real-time locations of targeted vehicles, their direction of fleeing, etc. This article proposes a novel application for the automated tracking of the suspicious vehicles in real-time. The proposed application tracks the vehicle based on their registration number, their type, color or RFID tag. The integration of RFID technique in the application reduces the overhead of image processing techniques, thus improving the performance of the application. This article also proposes an approach for vehicle classification. An integrated framework for tracking any vehicle at the request of security agencies is also proposed. Security agencies can track any vehicle in the specific time period by using a user interface application.