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 builtingyros that provide heading rate information, which are used to control the movement of the quadcopter. The parts of the whole UAV are selectedand integrated. The calibration processes are handled after installing necessary controller codes. This is to make quadcopter fly moothly according to its set commands. The IP camera is then attached to the quadcopter frame. Mobile camera with GPS receiver is used for objectdetection and localization. Images are captured from the IP camera; the three-dimensional position information for the quadcopter is recorded by the GPS receiver, and then the whole data are sent repeatedly from the Mobile to a ground station computer via wireless communication link. Two algorithms are next implemented to acquire and analyze the Images received form the IP 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.
Highlights
Unmanned Aerial Vehicles (UAVs) are typically commissioned for tasks that are perceived as too dull or dangerous for a human pilot to carry out
UAV is a kind of extremely complex framework which coordinates diverse equipment segments, for example, camera, Global Positioning System (GPS), controller, and distinctive programming segments, for example, picture preparing, way arranging and internal circle control[3]
After integrating and flight testing the developed quadcopter, we used mobile as a camera attached with other components of the quadcopter. This is to act as an online images recorder and a global Positioning System (GPS) receiver
Summary
Unmanned Aerial Vehicles (UAVs) are typically commissioned for tasks that are perceived as too dull or dangerous for a human pilot to carry out. Recent advances in embedded computing and sensors have made small, low-cost autonomous systems accessible to the broader research community [1] These little flying robots are utilized for investigation of sun oriented boards and connects. Cameras have the advantages of being minimal effort, low power, little size and light weight, and the capacity of being utilized for different errands, for example, for exploring and performing reconnaissance [10]. In this project we consider a single UAV with a bird’s-eye by use smart phone as IP camera (Huawei phone) to get images for object and detect object position by using GPS technique of the smart phone. One would expect that the viability of such a classifier changes as indicated by its shades of the objective
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