An Analysis of AI-Driven Technologies for Enhancing Security along the India-Nepal Border

Securing the border poses a substantial difficulty, especially in thwarting the illicit transportation of weapons, contraband, and drugs, and dealing with concerns like unlawful immigration and terrorist operations. Preserving legal commerce, financial well-being, and the autonomy of a nation is of utmost importance when it comes to international borders. This study examines an algorithm to develop a model capable of remotely detecting and categorizing humans. The model will be able to capture complete images of the person and their face separately. Additionally, it will perform a criminal record crosscheck using worldwide databases to forecast whether the person represents potential danger, is an aspiring migrant, terrorist, or fanatic. Subsequently, it notifies frontier authorities via an AI-driven computer system. The Sashastra Seema Bal (SSB) and Armed Police Force (APF) have bases in Indo-Nepal respectively. Across their frontiers to tackle safety breaches, specifically targeting the management of activities that span borders that represent substantial dangers for the domestic & international protection of both nations. Thus, this study seeks to enhance peace and security by combating illicit trading, unlawful activities, and cross-border offenses between Indo-Nepal. This will be achieved by implementing an AI-powered computer surveillance network by security personnel stationed at the frontier. Therefore Indo-Nepal frontiers pose unique challenges due to their porous nature.