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Anti-theft Vehicle Monitoring and Tracking Android Application Using Firebase as Web Service

机译:使用Firebase作为Web服务的防盗车辆监视和跟踪Android应用程序

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The number of vehicle users in Indonesia keep on increasing each year and this triggers probability of criminal activities especially vehicle theft. There were at least 1,688 cases of vehicle theft reported in Aceh Province throughout year 2016. Therefore, it is essentially important to keep vehicles save. One way to do it is by utilising an Android application that is capable to monitor and track the vehicles. This application has a special built-in feature: the ability to locate the position of user's vehicle with the usage of GPS and Google maps. If the vehicle moves from its original position, the application will notify the user and track its new position. Then, the vehicle owner can ask for help from friends and nearby polices. This application was developed using the Agile software methodology. Three tests were conducted for the application. The first test is the functional testing. This test was conducted to ensure that the application works in public and crowded places. The result shows that the application is functioning properly. The second test is the distance accuracy test, tested using altitude and without altitude. The results show that the error rates when altitude is used are 24.24% and 14.94% indoor and outdoor, respectively. When the altitude is not used, the error rates are 26.55% for indoor and 20.55% for outdoor. It is clear that incorporating altitude is more accurate than without using altitude. The last test is the response time between the application and Firebase as web service. We found that the average response time is 2.15 seconds which is considered good for a smartphone application.
机译:印度尼西亚的车辆使用者人数每年都在增加,这触发了犯罪活动,尤其是车辆盗窃的可能性。在亚齐省,2016年全年至少报告了1688起汽车盗窃案。因此,保持车辆的安全至关重要。一种方法是利用能够监视和跟踪车辆的Android应用程序。该应用程序具有特殊的内置功能:能够使用GPS和Google地图定位用户车辆的位置。如果车辆从其原始位置移动,则应用程序将通知用户并跟踪其新位置。然后,车主可以向朋友和附近的警察寻求帮助。该应用程序是使用敏捷软件方法开发的。为该应用程序进行了三个测试。第一个测试是功能测试。进行此测试是为了确保该应用程序可在公共场所和拥挤的地方使用。结果显示该应用程序正常运行。第二项测试是距离精度测试,使用海拔高度和不使用海拔高度进行测试。结果表明,使用海拔高度时,室内和室外的错误率分别为24.24%和14.94%。当不使用高度时,室内错误率是26.55%,室外错误率是20.55%。很明显,合并海拔高度比不使用海拔高度更准确。最后一个测试是应用程序和Firebase作为Web服务之间的响应时间。我们发现平均响应时间为2.15秒,这对于智能手机应用程序来说算是不错的选择。

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