Abstract

According to the agreement of border sharing between India and China, China was supposed to be posted till finger 8 position and India till finger 4 position and between the finger 8 and finger, 4 was considered no man’s land in which only patrolling is allowed. But in recent days, chinese has crossed finger 8 position and has set up its camp near finger 4 position means in no man’s land, therefore, violating the agreement and thus resulting in a critical situation between two countries. Also on 15th June 2020, a group of soldiers went into their camp for sorting this issue of border sharing but were brutally killed by Chinese soldiers in which 20 of our soldiers lost their lives. Therefore, taking into consideration the current situation, it is now very important to monitor and analyze the activities of the Chinese army so that India can prepare itself for any further problems. Surveillance is not about detecting objects in an image but to analyze suspicious activity in a scenario. Therefore, the proposed surveillance dashboard can be used to analyze the activities done by the Chinese army within a specific number of days when inputted satellite images. The stage of a manual analysis of these activities will be reduced. The system is based on Content-Based Image Retrieval using deep learning with real-time feature extraction property.

Full Text
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