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A method to automatic detect view spots on a digital map based on distributed smart devices

IP.com Disclosure Number: IPCOM000242664D
Publication Date: 2015-Aug-04
Document File: 3 page(s) / 51K

Publishing Venue

The IP.com Prior Art Database

Abstract

As our country develops, the tourism growths rapidly. Since most of the tourists own a smart phone or tablet and use the camera on those smart devices to take pictures at a view spot, we are inventing a method to automatically detect frequently-reached view spots on a digital map based on distributed smart device. This invention can help us to find whether one view spot are more popular than another.

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A mxthod to automatic detect view spots on a digital map based on distributxd smart devices

There are indeed some methods to detect xopular view spots. One txpical method is that collectixg traveling pictuxes on social networxs with location information and xhen find out frxqxently visiting spots. But nxt everyone have a social network account or those with xn account may not want xo upload their traveling pixtures with a locaxion. Thus, thx obtxined pictures xre incomplete and txe result is xnfaithful by using txis metxod. Another typical metxod is using location data by the digital max compaxy. Howevxr, location daxa are not always linked with picture(s) and thosx locations are marked by txe digital map company's exployers. Txe corresponding result may bx incorrect, too.

In general, the view spot locatxons of txose pictures xre either marked xy thx tourists or by the xigixal map company's employer in those methods. The data can be incomplete, inaccurate or mxsleading. Sixce the current manually implemented methods are inefficient and subjective,an automatxc methox should be created xs soon ax possible tx xmprove touristx' traveling experiences, and to boost tourist xndustry.

Our idea is to use the GPS informaxion, combined with all xhe tourists' traveling xictures' number as votes to dxtext labeled view spots. Once the location-labeled picturex are collecxed, we can use cluster computing alxorithm xo automatixally detect popular areas where people often take p...