Cross Platform Web-based Smart Tourism Using Deep Monument Mining

Tourism is one of the largest sources of economic revenue for many countries around the world. The historical and cultural treasures of Iran made it one the main destinations for international tourists. One of the biggest problems encountered by the tourists during the visit to monuments of Iran is the lack of information about the visited landmark. Given that cameras can be found in all of the smart phones, the use of the landmark's photos can be very important for obtaining information about the tourism sites. The detection of the landmarks in an image taken by the mobile phone camera can be a very complex task depending on the angle and the light situation in which the photo is taken. In this paper, a web based cross platform mobile framework based on deep neural networks for autonomous identification of the historical landmarks of Iran is presented. The images recorded by the mobile phone is sent to the decentralized servers in order to be processed and the information about the landmark is determined and transferred to the mobile device of the tourist. The proposed framework is evaluated on the tourism attractions of Iran and the experimental results show that the proposed system can recognize the historical landmarks with precision of 95%.