Face identity recognition device for security check based on convolutional neural network

A convolutional neural network and identity recognition technology, which is applied in the field of face recognition equipment for security checks, can solve the problems of troublesome movement, poor use effect, and time-consuming, etc., and achieve good face recognition effect, easy cleaning, and recognition speed fast effect

Inactive Publication Date: 2021-03-09
WENZHOU UNIVERSITY
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] There are often no good protective measures in the existing face recognition devices for security checks. After a period of use, a large amount of dust will be absorbed on the lens, which will affect the recognition of faces, and it will take a lot of time to recognize them. It is relatively poor, and generally adopts a fixed method when the security inspection device is used, and it is troublesome when the device needs to be moved. Therefore, those skilled in the art provide a face recognition device for security inspection based on convolutional neural networks to solve the problem. Problems raised in the background art above

Method used

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  • Face identity recognition device for security check based on convolutional neural network
  • Face identity recognition device for security check based on convolutional neural network
  • Face identity recognition device for security check based on convolutional neural network

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0026] see Figure 1~6 , in an embodiment of the present invention, a face recognition device for security inspection based on a convolutional neural network includes a box body 1, a support plate 2 is fixedly installed inside the box body 1, and a pipe fixing plate is fixedly installed on the top of the support plate 2 3. A brush plate 4 is installed on one side of the pipeline fixing plate 3, a brush 5 is installed on one side of the brush plate 4, a motor f...

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Abstract

The invention discloses a face identity recognition device for security check based on a convolutional neural network in the technical field of face recognition devices. The device comprises a box body, wherein a supporting plate is fixedly installed in the box body, a pipeline fixing plate is fixedly installed at the top of the supporting plate, a brush plate is movably installed at one side of the pipeline fixing plate, and a brush is arranged at one side of the brush plate; a motor frame is fixedly installed in the box body, a motor is fixedly installed at the top of the motor frame, a gearis fixedly installed at the output end of the motor, teeth are meshed with the outer surface of the gear, and a face recognition instrument is fixedly installed at the top of the supporting rod. According to the face recognition device, a motor rotates to drive a gear to rotate, teeth are arranged on one side of a supporting rod, a face recognition instrument can be driven to move up and down through rotation of the motor, when the face recognition instrument enters the box body downwards, a brush sweeps the face recognition instrument, and an atomizing nozzle sprays mist to a lens of the face recognition instrument; and the lens can be better cleaned.

Description

technical field [0001] The invention relates to the technical field of face recognition equipment, in particular to a face recognition device for security inspection based on a convolutional neural network. Background technique [0002] The face recognition system takes face recognition technology as the core. It is an emerging biometric technology and a high-tech technology in the field of international science and technology. It integrates the principles of science and technology, uses computer image processing technology to extract portrait feature points from videos, and uses the principles of biostatistics to analyze and establish mathematical models, which has broad development prospects. The country must use the electronic passport system combined with face recognition before October 26. By the end of 2006, more than 50 countries have realized such a system. In April 2012, the railway department announced that the security check area of ​​the station will be installed...

Claims

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Application Information

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IPC IPC(8): G07C9/37H04N5/225G03B17/55B08B1/00G06N3/04
CPCG07C9/37G03B17/55H04N23/56G06N3/045B08B1/12
Inventor 张永春钱乐旦邱殿兵王立傅贤君胡理冰
Owner WENZHOU UNIVERSITY
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