Self-guided tour method based on mobile cloud computing image recognition

Abstract

The invention discloses a self-guided tour method based on mobile cloud computing image recognition. The method includes the steps of obtaining a scenery image; preprocessing the scenery image; computing characteristic values of the scenery image; matching the characteristic values of the scenery image with scenery characteristic values in a database and determining scenery ID corresponding to the scenery image for obtaining guide information of a scenery. The scenery image comprises scenery appearance, characteristic signs, plane labels or three-dimensional labels. The scenery tour guide information comprises audio tour guide information or image tour guide information. The self-guided tour method based on mobile cloud computing image recognition has the advantages of being intelligent, easy to operate, simple in equipment, low in investment, low in energy consumption, and accurate and reliable in scenery positioning.

Description

technical field [0001] The present invention relates to the technical field of mobile Internet and cloud computing, and in particular, to a method and system for realizing a self-guided tour function by utilizing the above-mentioned technology. Background technique [0002] With the development of economy and society and the continuous improvement of people's living standards, tourism has become one of the ways for people to relax and exercise after work. When visiting scenic spots, tourists often use paper guide materials to read and obtain scenic spot information. With the vigorous development of tourism, the demand for information on scenic spots, scenic spots and scenery is increasing. Traditional paper materials cannot meet the needs of real-time, and the amount of information that can be provided is also small. [0003] With the rapid popularization of smart phones and tablet computers and the rapid development of technology, the difficulty of obtaining information ha...

AI Technical Summary

Problems solved by technology

[0005] 1. The supporting equipment is complicated, the investment is huge, and the maintenance is troublesome. Whether it is deploying RFID equipment, Bluetooth equipment, WIFI equipment for location positioning, or providing a special multimedia guide machine, etc., the deployment of equipment is a huge project;

[0006] 2. There are high requirements for the configuration of general intelligent terminals, GPS positioning has accuracy problems and poor indoor signals make it difficult to locate;

[0007] 3. The RFID method cannot be used universally, nor is it suitable for general smart terminals;

[0008] 4. GPS, Bluetooth tags, and WIFI tag positioning methods need to be always on, so they consume a lot of power;

[0009] 5. GPS, Bluetooth, and RFID can only locate the place where the tourists are, and cannot locate and obtain the corresponding tour guide information for the distant scenery. Therefore, using this positioning technology to obtain the corresponding scenery guide information requires the user to go to the corresponding location. , when the user has not reached the scene or the user has not confirmed whether he wants to visit the scene, this solution is obviously not feasible;

[0010] 6. Using bluetooth devices, RFID devices, wifi devices, or GPS to locate objects, it will be impossible to distinguish objects that are very close (such as exhibits in museums)

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