Open AccessThe QR code intelligent positioning system of the LBS cloud platform in the Internet of things environment
Author(s) -
Xinyue Wang,
Haibao Wang
Publication year - 2021
Publication title -
journal of autonomous intelligence
Language(s) - English
Resource type - Journals
ISSN - 2630-5046
DOI - 10.32629/jai.v3i2.338
Subject(s) - computer science , cloud computing , positioning system , java applet , code (set theory) , enhanced data rates for gsm evolution , embedded system , real time computing , span (engineering) , software , operating system , computer hardware , java , computer vision , engineering , structural engineering , set (abstract data type) , node (physics) , programming language , civil engineering
Aiming at the problems of long positioning time and poor positioning accuracy in traditional positioning systems, a WeChat applet QR code area positioning system based on the LBS cloud platform is proposed and designed. The overall architecture of the system is divided into three parts: LBS cloud service, central data processing, and QR code positioning terminal for small programs. The hardware is designed from the server-side module, processor and positioning module to provide a basis for system construction. In the software design, the WeChat applet QR code area image is collected, the image edge features are enhanced and filtered, the positioning target is determined according to the processed image edge features, and the WeChat applet QR code area positioning system design is completed. The experimental results show that the positioning time of the system is equivalent to 50% of the traditional system, and the positioning accuracy is always maintained above 99.5%, which has significant advantages.