Sightseeing Application Based on Location Marking and Convolutional Neural Network Building Recognition

In this research we observe the realization of the Kazan sightseeing system developed in the process of scientific research. There were suggested the system including augmented reality location marking and neural network recognition, which is completely new for the Kazan development market. There were identified the basic goals and tasks, that should have been solved throughout the development of the information system, were mentioned as the benefits and advantages of a such development project implementation. During the research different models and architectures of convolutional neural networks are observed and evaluated. The evaluation results of a developed application show that the proposed sightseeing system has significantly improved the tourist experiences.