This bachelor- thesis describes the conception and implementation of a translation software for the Android platform. The specific feature of the software is the independent text recognition based on the view of the camera. This approach aims to enhance and accelerate the process of translation in certain situations. After an introduction into text recognition, the underlying technologies and the operation system Android useful applications are described. Then the concept of the software is created and the implementation examined. Finally an evaluation is conducted to identify strengths and weaknesses of the software.

This bachelor thesis deals with the comparison related to the similarity of recorded WiFi patterns during the tracing of a path through the streets of a large city. Both MAC address only comparison has been investigated as well as the incorporation of RSSI values, whereby the localization accuracy has been evaluated. Methods for the detection of different types and combinations of loops in the path are demonstrated likewise the attempt to estimate the degree of urban development in the environment of the user by assessing the received signal strength and signal-to-noise ratio of GPS satellites and GSM cell towers. In order to observe a user- proximity to a certain spot on a large public square the absorption of WiFi signals by the human body has been taken into account. Finally, the results of a comparison of the computing performance of a modern smartphone versus the alternative of remote calculation on a server including data transmission via cellular data network are presented.