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No abstract

In today’s epoch, where law breaking have become an element of human society, with an annual increase of 1.6% in registered crime cases. This increases police departments’ work every year as well. Now days, Robots have proved themselves to accomplish the tasks that even humans find risky and tiresome. Unmanned Aerial Vehicles (UAV) are autonomous vehicles like aircrafts or drones which execute preprogrammed missions. In this project, we present a smart patrolling system with minimum latency possible using UAV, fog computing and 6G wireless communication. UAV will be auto detecting any kind of doubtful activity using lightweight convolution neural network (CNN), Kerman hybrid tracking algorithm. UAVs will be further trained to transmit only the suspicious data to the fog nodes to reduce energy and bandwidth consumption. Fog nodes will process the received data using fuzzy decision making and will further transmit the important information like alerts with live video streaming and location of crime to police station after.