Method and system based on big data for searching missing tourists in scenic spot

Abstract

The invention discloses a method and system based on big data for searching missing tourists in a scenic spot. The method comprises face recognition, scene recognition and the establishment of a tourist relationship network. The search system includes a cloud service platform and a data collection subsystem. The cloud service platform further includes a face recognition module, a scene feature extraction module, a trajectory generation module and an information storage module. The data collection subsystem further includes an identity information collection module, an image acquisition module,a navigation module, a step counting module, a communication module and a voice module. According to the invention, through the functions of scene recognition, scenic spot navigation and the like, the information of the scenic spot is collected subtly, therefore, the system and the method are easy to be received by tourists, the usage rates of the system and method are improved, and therefore, apurpose of good search is achieved. In addition, messages of missing persons are selectively pushed through a relation network, tourist resources are greatly used, and the waste of manpower is avoided.

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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