CN112258709A - Access control test system with face recognition function - Google Patents

Access control test system with face recognition function Download PDF

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Publication number
CN112258709A
CN112258709A CN202011224046.3A CN202011224046A CN112258709A CN 112258709 A CN112258709 A CN 112258709A CN 202011224046 A CN202011224046 A CN 202011224046A CN 112258709 A CN112258709 A CN 112258709A
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face recognition
module
face
data processing
access control
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CN202011224046.3A
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杨轩
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1072—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1075—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02—Means for indicating or recording specially adapted for thermometers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02—Means for indicating or recording specially adapted for thermometers
    • G01K1/022—Means for indicating or recording specially adapted for thermometers for recording
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements

Abstract

The invention discloses an entrance guard test system with face recognition, which comprises a data processing module, wherein the data processing module is in signal connection with a background management module, the data processing module is electrically connected with an electronic thermometer, the data processing module is electrically connected with a user database, the data processing module is electrically connected with a face recognition module, the face recognition module is electrically connected with a light supplementing device, and the light supplementing device is electrically connected with an external power supply through a light sensation sensor. And identification efficiency.

Description

Access control test system with face recognition function
Technical Field
The invention relates to an access control test system, in particular to an access control test system with face recognition, and belongs to the technical field of access control test systems.
Background
The research of the face recognition system starts in the 60 s of the 20 th century, the development of the computer technology and the optical imaging technology is improved after the 80 s, and the research really enters the early application stage in the later 90 s and mainly realizes the technology of the United states, Germany and Japan; the key to the success of the face recognition system is whether the face recognition system has a core algorithm with a sharp end or not, and the recognition result has practical recognition rate and recognition speed; the human face recognition system integrates various professional technologies such as artificial intelligence, machine recognition, machine learning, model theory, expert system and video image processing, and meanwhile, the theory and implementation of intermediate value processing need to be combined, so that the human face recognition system is the latest application of biological feature recognition, the core technology of the human face recognition system is implemented, and the conversion from weak artificial intelligence to strong artificial intelligence is shown.
The entrance guard safety management system is a modern safety management system, it integrates microcomputer automatic identification technology and modern safety management measures into one body, it relates to many new technologies of electronics, machinery, optics, computer technology, communication technology and biological technology. The method is an effective measure for realizing safety precaution management at the entrance and exit of important departments. The intelligent control system is suitable for various essential departments, such as banks, hotels, machine rooms, military machine depots, essential rooms, offices, intelligent districts, factories and the like.
The existing access control system can bring inconvenience to people with different heights due to the fixed position of the access control machine, can be reached by bending down or pointing feet, and can increase the effect and efficiency of face recognition of the access control machine under the condition of dim environment.
Disclosure of Invention
The invention aims to provide an entrance guard test system with face recognition to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides an entrance guard test system with face identification, includes data processing module, data processing module signal connection has backstage management module, data processing module electric connection has the electron thermoscope, data processing module and user database electric connection, data processing module electric connection has face identification module, face identification module electric connection has the light filling device, the light filling device passes through light sense sensor and external power supply electric connection, face identification module electric connection has electric lifter electric connection, electric lifter passes through infrared ray sensor and external power supply electric connection.
As a preferred technical scheme of the invention, the background management module is electrically connected with the recording module and the alarm module.
As a preferred technical scheme of the invention, the user database transfers the user data information out and transmits the user information acquired by the face recognition module to the data processing module for data processing.
As a preferred technical scheme of the invention, the electronic thermometer is installed on a face recognition entrance guard, the body temperature of the user is measured while the face recognition module recognizes the face, and the body temperature information of the user is recorded through the background management module.
As a preferred technical scheme of the invention, when the temperature is higher than a normal value, the alarm module sends the body temperature early warning information to the mobile terminal of the user.
As a preferred technical scheme of the invention, the lifting height of the electric lifting rod is 1.2-1.9 meters, and the face recognition module is driven to recognize the front outline of the face.
As a preferred technical scheme of the present invention, the light supplementing device is installed on the front side of the face recognition entrance guard machine, and the light sensation sensor can rapidly recognize the brightness of the surrounding environment and then control the light supplementing device to be turned on.
As a preferred technical scheme of the invention, the human eye region positioning of the face recognition module can accurately carry out quick recognition effect on a user, the angular point is detected by a positioning method of a filter operator, and the coordinates of the circle center are calculated by using the detected angular point;
when the corner detection is realized, the gray value degree of each pixel point and the central pixel point in the template is compared while the whole face image is scanned by using the circular mask, and the region belonging to the corner can be obtained according to the discriminant of the threshold, wherein the application formula uses a similarity comparison function:
Figure RE-GDA0002788303660000031
Figure RE-GDA0002788303660000032
wherein I (r)0) Is the gray scale magnitude of the mask center pixel (kernel); i (r) is the gray value of the other pixels within the mask that do not contain the center pixel; t is an important threshold for distinguishing whether the corner region belongs to or not;
the area of the corner region is n (r)0)＝∑c(r，r0) Is represented by the formula, wherein c (r)0) Is represented by r0The template is the center of a circle.
As a preferred technical scheme of the invention, the face recognition module carries out the image enhancement method through the histogram equalization technology, can effectively enhance the picture and keep the face characteristics of the original person, the processing process is simple and convenient, and the histogram equalization technology expands the gray level with more pixels in the image and compresses the gray level with less pixels in the image, thereby expanding the dynamic range of the original value of the image, improving the change of contrast and gray tone and making the image clearer.
Compared with the prior art, the invention has the beneficial effects that: according to the entrance guard test system with the face recognition function, the infrared sensor can perform preliminary measurement on the height of a user through the electric lifting rod and the infrared sensor, then the electric lifting rod is controlled to drive the face recognition machine to recognize the face of the user, the light supplement device is arranged to perform light supplement processing on the face, and the recognition effect and the recognition efficiency of the face recognition module on the user are improved.
Drawings
FIG. 1 is a schematic block diagram of the present invention;
fig. 2 is a schematic diagram of a background management module according to the present invention.
In the figure: 1. an infrared sensor; 2. an electric lifting rod; 3. a face recognition module; 4. a light supplement device; 5. a light-sensitive sensor; 6. an electronic temperature measuring instrument; 7. a data processing module; 8. (ii) a 9. A background management module; 10. an alarm module; 11. and a recording module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides an entrance guard test system with face recognition,
the first embodiment is as follows:
including data processing module 7, data processing module 7 signal connection has backstage management module 9, data processing module 7 electric connection has electron thermoscope 6, data processing module 7 and 8 electric connection of user database, data processing module 7 electric connection has face identification module 3, 3 electric connection of face identification module has light filling device 4, light filling device 4 passes through light sense sensor 5 and external power supply electric connection, 3 electric connection of face identification module has 2 electric connection of electric lift rod, electric lift rod 2 passes through infrared sensor 1 and external power supply electric connection.
Example two:
wherein, the background management module 9 is electrically connected with the recording module 11 and the alarm module 10, the user database 8 transfers user data information out and transmits the user information acquired by the face recognition module 3 to the data processing module 7 for data processing, the electronic thermometer 6 is installed on the face recognition entrance guard, the face recognition module 3 carries out face recognition and simultaneously measures the body temperature of the user, the body temperature information of the user is recorded by the background management module 9, when the temperature is higher than a normal value, the alarm module 10 sends body temperature early warning information to the mobile terminal of the user, the lifting height of the electric lifting rod 2 is 1.2-1.9 meters, the face recognition module 3 is driven to recognize and recognize the front outline of the face, the light filling device 4 is installed on the front of the face recognition entrance guard, the light sensing sensor 5 can rapidly recognize the brightness of the surrounding environment, then, the light supplement device 4 is controlled to be started, the human eye region of the face recognition module 3 can be accurately positioned to rapidly recognize the user, the angular points are detected by a positioning method of a filter operator, and the coordinates of the circle center are calculated by the detected angular points;
example three:
when the corner detection is realized, the gray value degree of each pixel point and the central pixel point in the template is compared while the whole face image is scanned by using the circular mask, and the region belonging to the corner can be obtained according to the discriminant of the threshold, wherein the application formula uses a similarity comparison function:
Figure RE-GDA0002788303660000051
Figure RE-GDA0002788303660000052
wherein I (r)0) Is the gray scale magnitude of the mask center pixel (kernel); i (r) is the gray value of the other pixels within the mask that do not contain the center pixel; t is an important threshold for distinguishing whether the corner region belongs to or not;
the area of the corner region is n (r)0)＝∑c(r，r0) Is represented by the formula, wherein c (r)0) Is represented by r0The template is the center of a circle.
The face recognition module 3 can effectively enhance the picture by a method of enhancing the image through a histogram equalization technology, so that the face characteristics of the original person can be maintained, the processing process is simple and convenient, the histogram equalization technology expands the gray levels with more pixels in the image, and compresses the gray levels with less pixels in the image, thereby expanding the dynamic range of the original value of the image, improving the contrast and the change of gray tone, and enabling the image to be clearer.
Synthesize and show, through electric lift pole 2 and the infrared ray sensor 1 that is equipped with, infrared ray sensor 1 can carry out preliminary measurement to user's height, then control electric lift pole 2 and drive face identification machine and discern user's face, and the light filling device 5 that is equipped with carries out the light filling processing to face, increases the recognition effect of face identification module 3 to the user to and discernment efficiency.
In the description of the present invention, it is to be understood that the indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings and are only for convenience in describing the present invention and simplifying the description, but are not intended to indicate or imply that the indicated devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are not to be construed as limiting the present invention.
In the present invention, unless otherwise explicitly specified or limited, for example, it may be fixedly attached, detachably attached, or integrated; can be mechanically or electrically connected; the terms may be directly connected or indirectly connected through an intermediate, and may be communication between two elements or interaction relationship between two elements, unless otherwise specifically limited, and the specific meaning of the terms in the present invention will be understood by those skilled in the art according to specific situations.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (9)

1. The utility model provides an entrance guard test system with face identification, includes data processing module (7), its characterized in that, data processing module (7) signal connection has backstage management module (9), data processing module (7) electric connection has electron thermoscope (6), data processing module (7) and user database (8) electric connection, data processing module (7) electric connection has face identification module (3), face identification module (3) electric connection has light filling device (4), light filling device (4) are through light sense sensor (5) and external power supply electric connection, face identification module (3) electric connection has electric lifter (2) electric connection, electric lifter (2) are through infrared ray sensor (1) and external power supply electric connection.
2. The door access control testing system with face recognition according to claim 1, characterized in that: and the background management module (9) is electrically connected with the recording module (11) and the alarm module (10).
3. The door access control testing system with face recognition according to claim 1, characterized in that: the user database (8) transfers the user data information out and transmits the user information acquired by the face recognition module (3) to the data processing module (7) for data processing.
4. The door access control testing system with face recognition as claimed in claim 2, wherein: the electronic thermometer (6) is installed on the face recognition entrance guard, the body temperature of the user is measured while the face recognition module (3) recognizes the face, and the body temperature information of the user is recorded through the background management module (9).
5. The door access control testing system with face recognition as claimed in claim 4, wherein: when the temperature is higher than a normal value, the alarm module (10) sends the body temperature early warning information to the mobile terminal of the user.
6. The door access control testing system with face recognition according to claim 1, characterized in that: the lifting height of the electric lifting rod (2) is 1.2-1.9 m, and the face recognition module (3) is driven to recognize the front outline of the face.
7. The door access control testing system with face recognition according to claim 1, characterized in that: light filling device (4) are installed in face identification access control machine's front, light sense sensor (5) can be quick discern the luminance of all ring edge borders, then control opens light filling device (4).
8. The door access control testing system with face recognition according to claim 1, characterized in that: the human eye region positioning of the face recognition module (3) can accurately and rapidly recognize the user, the angular point detection is carried out by a positioning method of a filter operator, and the coordinates of the circle center are calculated by the detected angular point;
when the corner detection is realized, the gray value degree of each pixel point and the central pixel point in the template is compared while the whole face image is scanned by using the circular mask, and the region belonging to the corner can be obtained according to the discriminant of the threshold, wherein the application formula uses a similarity comparison function:
Figure RE-FDA0002788303650000021
Figure RE-FDA0002788303650000022
wherein I (r)0) Is the gray scale magnitude of the mask center pixel (kernel); i (r) is the gray value of the other pixels within the mask that do not contain the center pixel; t is an important threshold for distinguishing whether the corner region belongs to or not;
the area of the corner region is n (r)0)＝∑c(r，r0) Is represented by the formula, wherein c (r)0) Is represented by r0The template is the center of a circle.
9. The door access control testing system with face recognition according to claim 1, characterized in that: the face recognition module (3) can effectively enhance the picture and keep the face characteristics of the original person by a method of enhancing the image through a histogram equalization technology, the processing process is simple and convenient, the histogram equalization technology expands the gray levels with more pixels in the image and compresses the gray levels with less pixels in the image, thereby expanding the dynamic range of the original value of the image, improving the contrast and the change of gray tone and enabling the image to be clearer.
CN202011224046.3A 2020-11-05 2020-11-05 Access control test system with face recognition function Withdrawn CN112258709A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113705389A (en) * 2021-08-13 2021-11-26 北京市商汤科技开发有限公司 Face recognition module testing method and device, storage medium and electronic equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113705389A (en) * 2021-08-13 2021-11-26 北京市商汤科技开发有限公司 Face recognition module testing method and device, storage medium and electronic equipment

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Application publication date: 20210122