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SMART SURVEILLANCE USING ON CLOUD MACHINE LEARNING AND INTERNET CONTROLLED UAVS

With an increase in 4G connectivity and the advent of 5G Internet, a wider range of applications can be ensured that can use radio frequency for piloting the UAVs and execute various real time applications as well. Realtime applications of Machine Learning can also be made possible with high data transfer rates of 5G. One such application is the real-time object detection and activity tracking using a UAV mounted system and this paper proposes architecture for such a system. The system proposes to transmit data received from UAV onto Cloud and implementation of Machine Learning application to be executed on the Cloud or on-board in real-time. Through Cellular network, the UAVs can be controlled remotely from virtually anywhere in the world, eliminating the requirement of the physical presence of a pilot on the spot.