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Indoor positioning method and device

An indoor positioning and indoor scene technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of being unable to be widely promoted and applied, increasing daily economic expenditure, and unable to use satellite indoor navigation, etc., and achieve great practical significance in production , improve the quality of work and life, and reduce the effect of daily economic expenditure

Inactive Publication Date: 2017-05-24
天津中科智能识别有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] With the civilian use of satellite navigation such as the Global Positioning System (GPS) and Beidou, various navigations have greatly facilitated people's travel, and outdoor positioning has become more and more accurate. However, for indoor positioning, radio waves emitted by satellites When penetrating reinforced concrete walls, there will be a great attenuation, and even the satellite signal cannot be received indoors, so it is impossible to use satellites for indoor navigation
[0004] At present, the existing indoor positioning methods will be interfered by the external environment and contain many uncertain factors, resulting in large indoor positioning errors, unable to achieve accurate indoor positioning, and need special hardware equipment to achieve positioning. These hardware The follow-up maintenance cost of equipment is high and consumes a lot of electric energy, which increases people's daily economic expenditure, which makes it impossible to widely promote and apply

Method used

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Embodiment Construction

[0043] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0044] figure 1 A flowchart of an indoor positioning method provided by the present invention;

[0045] see figure 1 , a kind of indoor positioning method provided by the present invention, comprises the following steps:

[0046] Step S101: Establish a preset convolutional neural network (Convolutional Neural Network, CNN) (see image 3 , Figure 4 shown), the preset convolutional neural network includes an input layer that sequentially processes the input image, a hidden layer (the hidden layer includes a preset plurality of convolutional layers, a plurality of preset pooling layers and preset fully connected layer) and output layer;

[0047]Step S102: Pre-collect multiple scene pictures in the preset indoor scene as multiple sampling ...

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Abstract

The invention discloses an indoor positioning device, and the device comprises a network building unit which is used for building a preset convolution neural network; a network training unit which is connected with the network building unit and used for training the preset convolution neural network; a scene image collection unit which is used for taking an indoor scene image in real time, and transmitting the indoor scene image to a recognition and judgment unit; the recognition and judgment unit which is connected with the network training unit and the scene image collection unit, and is used for recognizing and obtaining the position of the real-time photographed indoor scene image in the whole preset indoor scene plan, and transmitting the position to a display output unit; and the display output unit which is connected with the recognition judgment unit. The invention also discloses an indoor positioning method. The device enables a person to achieve the indoor positioning conveniently, reliably and precisely, does not need dedicated hardware equipment, meets the requirements of a user for the indoor positioning function, reduces the daily expenditure of the person, and improves the work and life quality of the user.

Description

technical field [0001] The invention relates to the technical fields of big data calculation, artificial intelligence, image recognition and cloud computing, and in particular to an indoor positioning method and device thereof. Background technique [0002] At present, with the continuous development of human science and technology, deep learning (Deep Learning) is becoming an emerging field in the field of machine learning. In recent years, the application of deep learning has become more and more widespread, and it has involved speech recognition, image recognition, natural language processing and other fields. Deep learning will continue to impact machine learning and other key areas of artificial intelligence. [0003] With the civilian use of satellite navigation such as the Global Positioning System (GPS) and Beidou, various navigations have greatly facilitated people's travel, and outdoor positioning has become more and more accurate. However, for indoor positioning,...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/08
CPCG06N3/084G06V20/36G06F18/24
Inventor 孙哲南曹冬李琦谭铁牛
Owner 天津中科智能识别有限公司
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