Quadcopter Based Object Detection and Localization

Abstract

This paper presents the development and integration of an X-configuration quadcopter with an IP camera for objectdetection based on the color of an object. A KK2 microcontroller is used to control the quadcopter movements. The controller has builtingyrosthatprovideheadingrateinformation,whichareusedtocontrolthemovementofthequadcopter.ThepartsofthewholeUAVareselectedandintegrated.Thecalibrationprocessesarehandledafterinstallingnecessarycontrollercodes.Thisistomakequadcopterflysmoothlyaccordingtoitssetcommands.TheIPcameraisthenattachedtothequadcopterframe.MobilecamerawithGPSreceiverisused for object detection and localization. Images are captured from the IP camera; the three-dimensional position information forthe quadcopter is recorded by the GPS receiver, and then the whole data are sent repeatedly from the Mobile to a ground stati oncomputer via wireless communication link. Two algorithms are next implemented to acquire and analyze the Images received form theIP camera. The results show that the images was captured and analyzed successfully, and the objects were detected according to their color and its approximate position was reported.