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Development of mobile application for euro banknotes tracking with use of EuroBillTracker services for Android

机译:使用Android的EuroBillTracker服务开发用于欧元纸币跟踪的移动应用程序

摘要

The thesis describes the development of an application for the mobile platform Android mEuroBillTracker that enables data entry about banknotes, review of entered banknotes and their map display. The application is based on the web application EuroBillTracker that enables registered users also review and entry of new banknotes. Since the manual entry of banknote data is time comsuming the aim of the thesis was to develop an application that would accelerate the complete data entry process. At the same the possibility of mistakes would be reduced through an automatic entry of specific fields. There are some similar applications that accelerate the data entry process to some extent, yet none of them enables the capture and recognition of the serial number. Therefore the main emphasis was on the entry of the serial number that was captured with a camera, processed with computer vision methods and finally underwent the optical character recognition process. For the optical character recognition to be successful it is very important that the entry image is as sharp as possible. Therefore we implemented a system of continuous auto focusing while using the accelerometer. With its help we were able to define the moment when the device stopped and only then we triggered further optical character recognition. The next sensor used was the global positioning system which gave us the data about the current location. On its basis and with the help of the reverse geocoding system we acquired the data about the place, post office and the country of the current location.
机译:本文描述了针对移动平台Android mEuroBillTracker的应用程序的开发,该应用程序支持有关钞票的数据输入,输入钞票的查看及其地图显示。该应用程序基于Web应用程序EuroBillTracker,使注册用户还可以查看和输入新纸币。由于手动输入钞票数据需要花费大量时间,因此本文的目的是开发一种可加速完整数据输入过程的应用程序。同时,通过自动输入特定字段可以减少出错的可能性。有一些类似的应用程序可以在某种程度上加速数据输入过程,但是没有一个能够捕获和识别序列号。因此,主要重点是输入由相机捕获,通过计算机视觉方法处理并最终经过光学字符识别过程的序列号。为了使光学字符识别成功,非常重要的是输入图像应尽可能清晰。因此,我们在使用加速度计的同时实现了连续自动对焦的系统。有了它的帮助,我们能够定义设备停止的时间,然后才触发进一步的光学字符识别。下一个使用的传感器是全球定位系统,该系统为我们提供了有关当前位置的数据。在此基础上,借助反向地理编码系统,我们获取了有关地点,邮局和当前位置的国家/地区的数据。

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    Hlastec Matej;

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  • 年度 2014
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