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The Design And Implementation Of Micro Air Vehicle Intelligent Monitoring System Based On Android

Posted on:2016-12-07Degree:MasterType:Thesis
Country:ChinaCandidate:L J LiFull Text:PDF
GTID:2298330467492871Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the increasingly research and application of micro air vehicles, the monitoring system is also becoming more and more important.The monitoring system is a part of communication devise between air vehicles and ground terminal systems.Nowadays,with the rapid development of mobile communications and terminal handling capacity,mobile operator system combines wireless communications and computer industries effectively. Traditional monitoring system need the designated location and the network cable to monitor our machine.Compared to the traditional monitoring system,monitor system in Android has many advantages,such as flexibility and operated easily etc.This paper can conclude as follows:Firstly,we analysis the requirements of the monitoring system, design the overall plan of intelligent monitoring system based on the Android platform.And designed to receive aircraft data and wireless camera video data,make the data displayed in real-time in the Android platform.Secondly,we apply OpenCV in Android platform,and according to the demands of the system and modules,design and implement the application,including interactive design,data storage solutions,algorithms code,functional and performance evaluation. Thirdly,we establish a multi-feature Hough forest classification model,which combined with the Camshift tracking algorithm,and then apply it to the object tracking module.According to parameters and confidences to locate the object center,the model achieve the module of tracking in the Android platform.At the same time,design of the multi-class model for object detection.Finally,design and implement a user-friendly interface of Android devices,and also complete functional and performance testing and evaluating the system of indicators.
Keywords/Search Tags:Android, monitoring system, object detection, OpenCV, Hough forest
PDF Full Text Request
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