IoT based Border Security System using Machine Learning

Globalization and movement of global citizens have rendered the concept of physical barriers between nations obsolete. Heavily armed and artillery based physical borders require a lot of man power, are prone to human errors and may even harm the environment in the rugged terrains. The present paper attempts to demonstrate a novel alternative to the physical barriers in terms of a ‘Smart Border’ with an inbuilt Intruder Alert System that replaces the physical and armed patrolling with advanced surveillance technology. This system could solve the issues of border security without need for physical barriers and heavily armed patrolling that takes a toll on human lives and technological resources. The developed system employs sensors along with surveillance cameras and thermal imaging to detect intruders, differentiates intruders with patrol officers and soldiers through machine learning and alert officials in case of emergencies.