Intelligent tourism management system

Abstract

The invention discloses an intelligent tourism management system which comprises an unmanned aerial vehicle aerial photography tourist distribution system, a scenic area face recognition system, a scenic area entrance people flow prediction system, a scenic area basic information data system, a hotel data statistics system, a cloud data management platform and a mobile terminal. According to the invention, surrounding images of scenic spots are collected through an unmanned aerial vehicle low-altitude aerial photography technology, and crowding conditions around the scenic spots are obtained through a human head detection method; identifying the age stage and gender of the tourist by utilizing a face identification technology; predicting the people flow condition of the scenic spot by utilizing a face detection technology; detailed tourism information is provided for tourists by adopting a scenic area basic information data system and a hotel data statistics system; and the cloud datamanagement platform stores and processes front-end system data, pushes scenic spot real-time information and scenic spot and hotel basic information to tourists, helps the tourists to generate tourismdecisions, formulates tourism plans in advance and enjoys tourism processes.

Description

technical field [0001] The invention relates to the technical field of tourism information management, in particular to a smart tourism management system. Background technique [0002] With the improvement of living standards, the demand for entertainment consumption has increased unprecedentedly, and tourism has become the first choice of entertainment for people. The tourism industry has become one of the industries with the strongest momentum and the largest scale in the global economic development. Due to the continuous increase in the number of tourists, a large number of tourists flood into well-known tourist cities, and high-quality tourist attractions such as 5A and 4A in each city are the choice of most people, so when you often travel, you will find that the major attractions are overcrowded , while some small scenic spots have few tourists. Tourists need recommendations and introductions of small scenic spots, as well as descriptions of the crowding conditions of...

AI Technical Summary

Problems solved by technology

If you want to find travel information from the Internet, the information you get is often not targeted and too scattered. It takes a lot of time to ask the staff when there are a lot of tourists, and the information you get is relatively small, so you can’t actively serve customers. Provide interested tourist routes, while the information on brochures and electronic screens is often just a reference, and the information on scenic spots is not completely recorded

[0004] At present, there are some location-based navigation services, information release and tourism information recommendation service platforms based on tourists’ needs, such as Hanglv Zongheng, Tuniu, Ctrip, Fliggy, Qunar and other platforms. These platforms have different focuses, but At the same time, there are also some problems, such as the low degree of information integration, resulting in a low degree of data sharing, lack of timeliness and accuracy of information content, and the inability to timely reflect the congestion situation of scenic spots, real-time information, types of tourists, etc.

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