{"posts":[{"id":17046,"title":"Map2Earn: A Step Forward with the New Release","excerpt":"Our Map2Earn Project is our biggest one yet and we are excited about this new release. \u00a0 There are many projects that attempt to build an AR version of our physical world. These projects use GPS to obtain location data, however, the accuracy of GPS systems is only within a six-meter precision \u2013 in outdoor […]","content":"

Our <\/span>Map2Earn<\/span><\/a> Project is our biggest one yet and we are excited about this new release.<\/span><\/p>\n

\u00a0<\/p>\n

There are many projects that attempt to build an AR version of our physical world. These projects use GPS to obtain location data, however, the accuracy of GPS systems is only within a six-meter precision \u2013 in <\/span>outdoor<\/span><\/i> spaces. Map2Earn has much better accuracy.<\/span><\/p>\n


\n<\/span>Map2Earn significantly solves a fundamental problem related to the geolocalization of digital assets, in the real world.<\/span><\/i><\/p>\n


\nAlpha Version<\/span><\/h2>\n

Map2Earn is in the Alpha version. Currently, a crowd of OVRLands Owners were selected to test our mapping system. Alpha testing is crucial to finding bugs and errors and to solving them before public release.<\/span><\/p>\n


\nHow does it work?<\/span><\/h2>\n

The Map2Earn system addresses the issue of high location discrepancy through images that users take with their smartphones.<\/span><\/p>\n

\u00a0<\/p>\n

The system processes the images through AI and creates a 3D map of a specific location in the physical world.<\/span><\/p>\n

\u00a0<\/p>\n

The system generates three elements:\u00a0<\/span><\/p>\n