Mobile Conqueror

Mobile Conqueror is a system that can be easily used via mobile phones. Its purpose is to present the user with data about their surroundings, nearby landmarks, and other points of interest by overlaying information on the real­time camera view of a smart­phone.



In the system, the user takes a photo of a landmark and wishes to get information about the place. The GPS information will be extracted. The software will use an API of a virtual globe application like Google Earth and using GPS information the name of the place will be obtained. Next, related data will be retrieved from sources like Wikipedia. Finally, the user will be informed about the picture. Additionally, there may be a live camera support of this application.

Furthermore, detailed information can be sent to the user if desired. This detailed data can be about the characteristics of a famous landmark or it can be about the interior objects of a building. To make this possible, a wide database of images will be compiled. By means of some image processing and machine learning techniques, the system will try to match the user-supplied image with the images in the database. If the system succeeds in matching the image, the user will be supplied extra information about the interior details.

Our project combines different topics into one. We will need to use a lot of different technologies such as GPS, Image Processing, Mobile Communication and so on. This makes the project harder and more prone to errors. Because of that, we will need to identify requirements, do prototyping, coding and testing again and again. The process model that best fits our requirements is the “Spiral Model”. The spiral model starts with defining system requirements, creating a preliminary design and constructing a first prototype. The following prototypes are constructed by evaluating the previous prototype, defining the requirements of the next prototype, planning and designing the next prototype and building and testing the next
prototype.