Human localization system using 3D two-dimension code

Lack of intelligent service is nowadays a problem in the construction of smart community. Location-based service is a typical intelligent information service, but its application is limited by the low accuracy of localization technologies. This paper proposes a new human localization technique using 3D 2-dimensional code. Spatial units in smart community are uniformly modeled and encoded. The location code is converted into QR 2-dimensioanl code and made into identification card by 3D printer. The 3D 2-dimensional codes are mounted on walls, and location information server and intelligent application server are deployed for the smart community. User uses the APP on smart phone to scan and recognize the 3D code and obtains the location information. The servers fuse the location data and other heterogeneous data and big data mining may inspire potential intelligent service. The location data are encoded as the format of “zip code/institution code/building code/partition code/floor code/room code”. The location information database mainly consists of user information database, map node database and location characteristic database. This technique is used to design and implement a human location system for Tsinghua University. Students and staff use the system to localize themselves and the property management department collects their complaint on temperature or humidity to improve the comfortable level and save energy. This technique achieves a high localization accuracy of room level due to the lookup table strategy and has several advantages over the IC card technique.