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A method and a device for population classification

A classification algorithm and population technology, applied in the field of population management, can solve problems such as failure, application, and utilization of monitoring data, and achieve the effect of reducing the amount of data, updating in real time, and high accuracy

Inactive Publication Date: 2019-01-11
NETPOSA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, management units such as public security have accumulated a large amount of data collected by monitoring equipment, and it is common to obtain structured characteristic data through structured analysis of the data collected by monitoring equipment, but there is a lack of further analysis methods for these monitoring data and characteristic data. The lack of a suitable population classification method to use monitoring data prevents it from being reasonably used by public security organs and other units, and cannot serve the current regional population management work

Method used

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  • A method and a device for population classification
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  • A method and a device for population classification

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Embodiment Construction

[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without...

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Abstract

The invention provides a method and a device for population classification, wherein the method comprises the following steps of acquiring an original multimedia file and extracting a human body image;structurally computing the human body image to obtain the feature data; performing clustering calculation according to the feature data and the human body image, and dividing the human body image into a plurality of individuals; creating archives for each individual and classifying the archives according to the time and place information in the archives to determine whether there are permanent, non-permanent and temporary persons. Based on the data of the permanent resident population database and the temporary resident population database of the public security organs, the data are comparedand analyzed to determine whether they are registered in the database of the public security organs, so as to assist in verifying the correctness and authenticity of the manually collected data, and to achieve the refined and classified management of the regional residential population.

Description

technical field [0001] The present application relates to the technical field of population management, in particular to a population classification method and device. Background technique [0002] The current population management work strongly relies on community police to collect data from door to door, resulting in incomplete data collection, poor data quality, and difficulty in verifying the authenticity of the data, which further makes the population management work of the public security very difficult. The current population classification technology of public security organs has the following defects: [0003] 1) The collection process of population data is heavily dependent on manual work, with incomplete data and a high error rate; 2) It is difficult to effectively classify and manage regional population data; 3) There is a lack of verification methods for manually collected population data; 4) It is difficult to achieve regional Work requirements for fine-graine...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06F16/29G06Q50/26
CPCG06Q50/26G06V40/10G06V20/53G06F18/23G06F18/24
Inventor 高希乔治孙靖宇杨臻徐安安
Owner NETPOSA TECH
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