UAV Ground Station for Intruder Detection and Surveillance

Abstract

In this era of high threat, crime, and security breach concerns, one must approach surveillance from perspectives that are not confined to static circuit cameras. We need mobility, range and artificial intelligence to not only automatically detect threats without human intervention from different angles and altitudes, but also generate alerts. In the thesis, we propose a ground station for a quadcopter that can reach altitudes, landscapes and positions human beings cannot easily access and detect threats or more specifically intruders from these areas and alert the authorities on finding anyone suspicious. SPYDR uses a State-of-The-Art Object detection and classification algorithm that has been trained to detect unauthorized presence of individuals in places under high alert or lockdown. Not only will it catch our trespasser but also generates an alarm to notify concerned parties.