The QR code intelligent positioning system of the LBS cloud platform in the Internet of things environment
Journal: Journal of Autonomous Intelligence DOI: 10.32629/jai.v3i2.338
Abstract
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.
Keywords
QR Code Area; Positioning System; LBS Cloud Platform; Image Acquisition; Edge Feature Processing; Simulation Experiment
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Copyright © 2021 Xinyue Wang, Haibao Wang
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