A search method and system for missing tourists in scenic spots based on big data

Abstract

The invention discloses a search method and system for missing tourists in a scenic spot based on big data, wherein the search method includes: face recognition, scene recognition and establishment of a tourist relationship network. The search system includes: a cloud service platform and a data collection subsystem, and the cloud service platform includes: a face recognition module, a scene feature extraction module, a trajectory generation module and an information storage module, and the data collection subsystem includes: Identity information collection module, image collection module, navigation module, step counting module, communication module and voice module. The present invention subtly collects scenic spot information through such functions as scene recognition and scenic spot navigation, so that it can be more easily accepted by tourists, and the utilization rate of the present invention is improved, thereby achieving a better search purpose. In addition, the present invention selectively pushes the news of missing persons through the relationship network, utilizes tourist resources to a great extent, and avoids the waste of manpower.

Description

technical field [0001] The invention relates to the field of big data search, in particular to a search method and system for missing tourists in scenic spots based on big data, which is used to solve the search or assist search and rescue of missing persons in places such as scenic spots. Background technique [0002] In recent years, with the increase in the number of tourists, cases of missing people or children in tourist attractions are not uncommon, especially in natural scenic spots, which cover a large area and have complex geographical environments. Once people get lost, especially children, or lose contact , the search and rescue work is difficult to carry out effectively, and often requires a lot of manpower and material resources, and due to the lack of missing location information, the search and rescue efficiency is not high, and the search and rescue time is long, which is very unfavorable for children or tourists in distress of. [0003] The search based on ...

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the increase in the number of tourists, cases of missing people or children in tourist attractions are not uncommon, especially in natural scenic spots, which cover a large area and have complex geographical environments. Once people get lost, especially children, or lose contact , the search and rescue work is difficult to carry out effectively, and often requires a lot of manpower and material resources, and due to the lack of missing location information, the search and rescue efficiency is not high, and the search and rescue time is long, which is very unfavorable for children or tourists in distress of

[0003] The search based on big data in the market now mainly realizes the search for relevant personnel by obtaining the video in the surveillance camera and intercepting the image in the video. It covers every corner of the scenic spot, and its post-maintenance management is also relatively difficult. Second, there is no reasonable processing method for the collected images, so as to quickly and effectively predict the missing area of ​​the missing person for the scenic spot

The third is that some existing hardware or methods used for scenic spot search have single functions and do not have entertainment or other practical functions, which leads to low efficiency for tourists to use, and thus also leads to low search efficiency for missing persons. not tall

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