Positioning system based on machine vision and dynamic fingerprint and corresponding method

Abstract

The invention provides a positioning system based on a machine vision and a dynamic fingerprint and a corresponding method. The positioning system comprises an image collection device, a wireless access device, a server and a wireless beacon. During the usage, the wireless beacon is installed on a positioning object; the image of the positioning object is collected through the image collection device and a wireless signal is received through the wireless beacon; position information and a signal strength data flow are generated; and positioning is performed based on the two data flows. The invention combines the advantages of image positioning and wireless signal positioning and enables the two positioning modes to compensate each other to achieve a better positioning effect. The system and the method of the invention adopt the visual positioning under the line of sight condition to obtain the high accuracy positioning, and can dynamically update fingerprint data in real time. The invention improves the positioning accuracy under the non-line-of-sight condition, and guarantees that the accurate positioning service is obtained in the various complex indoor environments.

Description

technical field [0001] The invention relates to positioning technology, in particular to a computer vision and dynamic fingerprint positioning system and a corresponding method. Background technique [0002] The current indoor positioning system based on computer vision technology uses a camera to take pictures of objects or people, and calculates its relative position relative to the camera from the position of the image in the photo. There are two types of indoor positioning algorithms based on computer vision: monocular and binocular. The advantages of computer vision positioning are high positioning accuracy and high stability. However, the computer vision positioning technology requires that there is no occlusion in the line of sight (Line of Sight), and the positioning algorithm will not be used under the complex indoor non-line of sight (Non Line of Sight) conditions. [0003] The current Internet of Things generally uses wireless technology to interconnect various ...

AI Technical Summary

Problems solved by technology

[0006] In view of the above-mentioned problems existing in the existing positioning technology, especially in the wireless positioning technology using the fingerprint algorithm, the calibration of fingerprint data is complicated and difficult, and the calibration data is prone to signal drift and other problems. The present invention provides a dynamic fingerprint data updating method. , and then eliminate the above error factors, improve the positioning accuracy of the positioning system and the corresponding positioning method

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