Indoor positioning and tracking system based on grating matrix technology

Abstract

The invention discloses an indoor positioning and tracking system based on grating matrix technology, comprising an indoor grating arrangement and a monitoring system. The indoor grating arrangement refers to a grating matrix system arranged horizontally or vertically in a room. The monitoring system comprises a data generating transmitting module and a background data processing system. The datagenerating transmitting module is integrated with the grating receiving tube, and transmits the state information data of the grating receiving tube to the background data processing system in real time. The background data processing system automatically marks and connects the coordinate positions of the continuously moving persons or objects according to the related information to obtain a real-time moving track of persons or objects, and performs the identification confirmation with the identity registration condition of persons or objects entering the room. According to the indoor positioning and tracking system based on grating matrix technology, the grating matrix of the system is simple to construct, small in investment, accurate in positioning and good in popularization prospect.

Description

technical field [0001] The invention relates to an indoor positioning and track tracking system, in particular to an indoor precise positioning and track tracking system based on grating matrix technology. Background technique [0002] For people or objects without special tracking equipment (GPS, RFID, etc.), indoor positioning and tracking of movement trajectories are performed only based on the shape of the person or object itself. At present, artificial intelligence visual recognition technology is mainly used. Such as face recognition) or object appearance features, etc., for image analysis and mobile location recording, this method has the following shortcomings or deficiencies: [0003] 1. Artificial intelligence visual recognition technology relies on the recognition and judgment of certain unique identification features of people or objects (such as human faces, appearance packaging, etc.). Therefore, it is necessary to deploy a lot of cameras in different positions...

AI Technical Summary

Problems solved by technology

[0004] 2. Artificial intelligence visual recognition technology needs to upload the moving image data of indoor people or objects collected by each camera in real time to the background for recognition and analysis, and the more cameras and the more people or objects entering the room, the generated The amount of data will increase sharply; a large amount of data transmission and computing requirements will lead to a substantial increase in investment in network bandwidth and background server configuration, which will eventually lead to a substantial increase in background hardware costs and operation and maintenance costs;

[0005] 3. For artificial intelligence visual recognition technology, when the appearance characteristics of people or objects change (such as deliberate camouflage, occlusion behavior, etc.), it will be difficult to carry out continuous automatic tracking, which will lead to problems such as misjudgment or data loss;

[0006] 4. Artificial intelligence visual recognition technology needs to record, compare, judge and track the characteristic data of people or objects in real time. Due to the huge amount of data, the calculation and analysis time is long, and it is difficult for the equipment with general configuration to achieve instant result data return. , it is difficult to ensure the timeliness of the application

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