Indoor space identification method

A technology of indoor space and recognition method, which is applied in the field of indoor positioning, can solve the problems of large-scale changes in generalization ability and inability to apply to large-scale environments, and achieve high commercial value, reduce video jitter, and simplify the collection process.

Pending Publication Date: 2019-05-31
上海城诗信息科技有限公司
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AI Technical Summary

Problems solved by technology

The generalization ability of such methods is greatly affected by changes in the indoor environment, and cannot be applied to large-scale environments and frequently changing environments

Method used

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Embodiment Construction

[0024] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art may make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined in the present application.

[0025] Such as figure 1 As shown, the present invention provides an indoor space recognition method, which is mainly used to solve consumer-level indoor positioning problems. The specific method flow is mainly divided into four steps,

[0026] 1. Use the panoramic camera and the acquisition vehicle to take video of the indoor space to be identified (such as shopping malls, office buildings, etc.);

[0027] 2. Di...

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Abstract

The invention provides an indoor space identification method which comprises the following steps: S1, carrying out video shooting on an indoor space to be identified; S2, framing the shot video into pictures, filtering picture data which do not meet conditions, classifying the pictures according to different spaces, and constructing a training set; S3, utilizing the training set to train the constructed deep convolutional neural network based on the DenseNet to obtain a network model; and S4, constructing a mobile terminal APP, enabling a user to initiate a position identification request through the APP, deploying a server computing structure of the network model, and returning a position identification result to the user through a corresponding request of the network. In order to solve the problem of consumer-level indoor positioning, the invention provides a method for realizing indoor positioning based on mobile phone pictures and computer vision, an indoor infrastructure does notneed to be arranged in advance, and other special devices are not needed in the recognition process.

Description

technical field [0001] The present invention mainly relates to the technical field related to indoor positioning, in particular to an indoor space recognition method. Background technique [0002] With the acceleration of urbanization, the construction and development of smart cities, and the increasing number of mobile devices, location-based services are playing an increasingly important role in the lives of urban residents. Most of the existing positioning services are based on technical facilities such as the Global Positioning System (GPS), Beidou navigation system, and mobile phone signal base stations. They have excellent performance in outdoor positioning environments, but have great defects in indoor positioning. For example, the global positioning system based on communication and positioning satellites, the signal of the Beidou navigation system cannot enter the indoor environment. With the development of urbanization, the proportion of residents' indoor activiti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06T5/00G06T7/70
Inventor 张帆刘浏周博磊
Owner 上海城诗信息科技有限公司
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