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A method for identifying permanent residents and vehicles without preset information

A technology of preset information and vehicle identification, which is applied in the field of resident and vehicle identification, can solve problems such as user troubles and hidden dangers, and achieve the effects of eliminating leakage, saving manpower and time, and protecting personal privacy

Active Publication Date: 2022-04-22
天津市中环系统工程有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The bottomless library model is also mentioned in the article "Face Core Technology Principles, Architecture and Development" on the Internet. Although it does not need to enter information in advance, it needs to read the information of special documents such as ID cards. In fact, it still indirectly obtains personnel information, so there are hidden dangers
When conducting witness verification, not only need to introduce other equipment components, but also cause a lot of trouble to the user

Method used

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  • A method for identifying permanent residents and vehicles without preset information
  • A method for identifying permanent residents and vehicles without preset information
  • A method for identifying permanent residents and vehicles without preset information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Example 1: Identification of permanent residents.

[0039] 1. Hardware construction:

[0040] The hardware construction method is as follows figure 1 As shown, the face and license plate capture camera is installed at the entrance and exit of the place, so that it can clearly capture the face and license plate at the entrance and exit; the machine learning host is connected to the face and license plate capture camera through a network cable.

[0041] 2. Model training:

[0042]After the hardware is built, if the model of such a community or unit has not been established before, a new model needs to be created, and the face data obtained by the face and license plate capture camera will be collected for a certain number of days, usually 7 days a week, and passed into machine learning. The host, by comparing people with each other, divides them into different people; counts the time points when different people are captured by the face and license plate capture cameras...

Embodiment 2

[0089] Embodiment 2: Identification of resident vehicles.

[0090] 1. Hardware construction:

[0091] The hardware is built as figure 1 As shown, the face and license plate capture camera is installed at the entrance and exit of the place, so that it can clearly capture the face and license plate at the entrance and exit; the machine learning host is connected to the face and license plate capture camera through a network cable.

[0092] 2. Model training:

[0093] After the hardware is built, if the model of such a community or unit has not been established before, a new model needs to be created, and the license plate data obtained by the face and license plate capture camera will be collected for a certain number of days, usually 7 days a week, and sent to the machine learning host , by comparing cars and cars in pairs, divide them into different cars; count the time points when different cars were captured during this period, and convert these time points into frequencie...

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Abstract

A method for identifying permanent residents and vehicles without pre-set information. Face and license plate capture cameras are installed at entrances and exits to capture people and vehicles entering and leaving, and transmit the information and time to the machine learning host; the machine learning host acquires the information and After the time, identify different persons or vehicles. According to different personnel or vehicles, different time periods, and different frequencies as dimensions, three-dimensional matrix data and corresponding labeling attributes are formed. According to the method of machine learning, the recognition model of this type of area is established, and then the personnel captured later will be captured by the model. and vehicles are divided into three categories: permanent residents, temporary visitors, and strangers, respectively, forming a permanent resident database, a temporary visitor database, a permanent vehicle database, and a temporary visitor vehicle database, and performing a second iteration on the personnel database and vehicle database; The personnel library and vehicle library that have been established are used to determine the entry and exit of strangers and vehicles, and then issue warning or prompt information.

Description

technical field [0001] The invention belongs to the field of intelligent security, and is a method for identifying permanent residents and vehicles without preset information. Background technique [0002] Smart security is generally used in communities or enterprises and institutions. It is a direct reflection of improving people's living standards, and it is also an important part of safety projects and people's livelihood projects. Therefore, the construction of intelligent security is particularly important. [0003] In the past, most of the smart security systems needed to collect personal information such as age, place of origin, gender, and face information to establish a black and white list database; in the later use process, when there was a change in personnel, it was also necessary to manually collect and update the information. For example, Chinese patent application CN107480626A "a method of population census monitoring using face recognition" and CN109951681A...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/52G06V20/62G06V10/764G06V10/82G06K9/62G06N3/04
CPCG06N3/045G06F18/2415
Inventor 杨洪涛马鸿博翟伟刘文华尹群辉吕林智文勇杰
Owner 天津市中环系统工程有限责任公司
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