GuideMe: A Mobile Application based on Global Positioning System and Object Recognition Towards a Smart Tourist Guide
This addresses a specific issue for tourists and pilgrims at holy places, but it is incremental as it applies existing technologies like GPS and deep learning to a new domain.
The paper tackles the problem of visitors, especially pilgrims, struggling to find appropriate doaas (prayers) at holy places by proposing a mobile app with manual search, GPS location, and deep learning-based image recognition, showing good performance in experiments.
Finding information about tourist places to visit is a challenging problem that people face while visiting different countries. This problem is accentuated when people are coming from different countries, speak different languages, and are from all segments of society. In this context, visitors and pilgrims face important problems to find the appropriate doaas when visiting holy places. In this paper, we propose a mobile application that helps the user find the appropriate doaas for a given holy place in an easy and intuitive manner. Three different options are developed to achieve this goal: 1) manual search, 2) GPS location to identify the holy places and therefore their corresponding doaas, and 3) deep learning (DL) based method to determine the holy place by analyzing an image taken by the visitor. Experiments show good performance of the proposed mobile application in providing the appropriate doaas for visited holy places.