KR20220012595A - Enterance control method based on body recognition - Google Patents

Abstract

The present invention relates to an access control managing method based on body recognition which comprises the following steps of: inspecting an identification card; checking whether the identification card is an employee card; comparing a first QR code and a second QR code if the identification card is not the employee card; comparing a first body change and a second body change if the identification card is the employee card in the step of checking whether the identification card is the employee card or the first QR code is identical to the second QR code in the step of comparing the first QR code and the second QR code; comparing first image information and second image information if the first body change is identical to the second body change; and determining access permission if the first image information is identical to the second image information.

Description

Access control management method based on body recognition {Enterance control method based on body recognition}

The present invention relates to a method for managing access control based on body recognition, and in particular, even when a mask or glasses are worn on the face, by recognizing a facial expression and detecting heat generated from the body in a non-contact manner to determine access control. It relates to a body recognition-based access control management method that can easily perform time and attendance management or visit and access control in a non-contact manner.

Access control and attendance management are performed using contactless face recognition or iris recognition. Face recognition and iris recognition are less likely to be lost when using a card or key, and provide high security through facial feature point verification. This related technology is disclosed in Korean Patent No. 10-1439348 (Patent Document 1).

Patent Document 1 relates to an access control and attendance management system using face recognition, and includes a face scan device, an opening/closing device, a time and attendance management device, a remote door device, and a database. The face scanning device of Patent Document 1 reduces the non-contact imaged image at a certain rate, converts it to an image such as black and white flat relief, restores the original image based on the face components, detects the face, and determines whether the registered user's face is Or, check the detected iris image by finding the boundary between the pupil and the iris, which has a large change in color and contrast, centering on the pupil with the darkest color in the eye, and detect the iris to confirm whether the registered user is the iris. The opening/closing device is connected to the face scanning device through a communication network to provide automatic/manual locking or opening when the door is closed, depending on whether the user is registered or not, or activates an alarm in case of abnormal use. The time and attendance management device is connected to the face scan device and the opening and closing device through a communication network to check the face of the registered user of the face scan device, and manages time and attendance based on the access record through the face recognition of the user who entered by driving the opening and closing device. . The remote door device transmits the image of the unregistered user captured through the face scanning device to the user terminal or the manager terminal through the communication network, checks whether the visitor is there, inquires the locked state of the door, and receives and operates whether the door is opened or closed. The database stores user information necessary for time and attendance management by interworking with the time and attendance management device and remote door device through a communication network, or stores visitor status information and provides the corresponding information to the user or manager.

Conventional access control or attendance management systems using face recognition, such as Patent Document 1, have a problem that may cause congestion when there are many visitors in the case of iris recognition, so access control or time and attendance management using face recognition is applied. When a mask or glasses is worn on the face, an error may occur in face recognition, and when heat is generated in the body, when it cannot be recognized, there is a problem in that it cannot be recognized.

Patent Document 1: Korean Patent Publication No. 10-1439348

An object of the present invention is to solve the above-mentioned problems, even when a mask or glasses is worn on the face, by recognizing the facial expression and detecting heat generated from the body in a non-contact manner to determine access control. An object of the present invention is to provide a body recognition-based access control management method that can easily perform time and attendance management, visitation, and access control.

Another object of the present invention is to recognize a facial expression even when wearing a mask or glasses on the face, detect heat generated from the body in a non-contact manner, and use a QR code (quick response code) that can verify the identity of an individual It is to provide a body recognition-based access control management method that can precisely and reliably control access control by controlling access by preventing recognition errors caused by masks, glasses, or the surrounding environment by specifying the body using a fingerprint or fingerprint.

The method for managing access control based on body recognition according to the present invention includes the steps of: examining an identification card; checking whether the ID is an employee ID; comparing a first QR code (quick response code) with a second QR code if the identification is not an employee ID; If the ID card is an employee ID, if the ID card is an employee ID card or the first QR code and the second QR code match in the step of checking whether the ID card is an employee ID, the first body change and the second body change are performed comparing; comparing first image information with second image information when the first body change matches the second body change; and determining access permission when the first image information and the second image information match, wherein a first QR code among the first QR code and the second QR code is a measured QR code, and a second QR code is a measured As a QR code measured before the first QR code and stored in the server, the first QR code and the second QR code store the same personal information, respectively, the first body change The first body change among the second body changes is the same The measured body change of the individual and the second body change are the body changes measured before the measured first body change and stored in the server, the first image information and the second image information are each the same image, and the first image The information is a photographed face image, and the second image information is a face image photographed before the photographing of the first image information.

The body recognition-based access control management method of the present invention recognizes facial expressions or physical features other than the face even when wearing a mask or glasses on the face, and detects heat generated from the body in a non-contact manner to control access It has the advantage of being able to easily perform time and attendance management, visitation and access control without contact by determining It provides the advantage of precisely and reliably controlling access control by preventing recognition errors and controlling access.

1 is a flowchart of an access control management method based on body recognition of the present invention;
2 is a flowchart showing in detail the steps of comparing the first body change and the second body change shown in FIG. 1;
3 is a flowchart showing in detail the step of comparing the first image information and the second image information shown in FIG. 1;
Figure 4 is a flowchart showing in detail the step of determining the access permission shown in Figure 1;
5 is a device to which the body recognition-based access control management method of the present invention is applied.

Hereinafter, an embodiment of the method for managing access control based on body recognition of the present invention will be described with reference to the accompanying drawings.

As shown in FIG. 1 , the method for managing access control based on body recognition of the present invention performs the step (S10) of examining an identification card. A step (S20) of checking whether the ID checked in the step (S10) of checking the ID is an employee ID is performed. If the identification card is not an employee ID, a step (S30) of comparing the first QR code (quick response code) and the second QR code is performed. As a QR code measured before the first QR code and stored in the server 100 (shown in FIG. 5), the first QR code and the second QR code are each stored with the same personal information. If the ID card is an employee ID, in the step (S20) of checking whether the ID is an employee ID or the first QR code and the second QR code are compared in the step (S30), if the first QR code and the second QR code match, the first body change and the second A step (S40) of comparing body changes is performed. First body change Among the second body changes, the first body change is a measured body change of the same individual, respectively, and the second body change is measured before the first measured body change and is transmitted to the server (100: shown in FIG. 5). stored body changes. When the first body change and the second body change match, a step (S50) of comparing the first image information and the second image information is performed. The first image information and the second image information are the same images, respectively, and the first image information is a photographed face image, and as the second image information, a face image photographed before the photographing of the first image information is used. When the first image information and the second image information match, a step (S60) of determining access permission is performed.

After checking the ID in the step (S10) of checking the ID, a step (S20) of checking whether the checked ID is an employee ID is performed. Check it. That is, the step (S20) of checking whether the identification card is an employee ID is a step (S21) of measuring the first employee information from the employee ID if there is an employee ID as shown in FIG. 1, and checking whether the identification card is an employee ID (S21) In , the employee ID includes a face, department name, and name, and if the employee ID includes an employee number or other information, reliability can be improved when measuring the first employee information. If there is an error in the first employee information written on the employee ID in step S21, it returns to the step S30 of comparing the first QR code and the second QR code to check whether the visitor is again. That is, if the employee ID is forged and an error occurs in the first employee information, the step (S31) of checking whether the first QR code exists during the step (S30) of comparing the first QR code and the second QR code is returned to By double-checking whether you are a non-employee or a visitor, your identity verification can be checked more reliably.

When the first employee information is measured, a step (S22) of checking whether there is the second employee information measured before the formation of the first employee information consistent with the first employee information is performed, and checking whether there is the second employee information If there is no information on the second employee in step S22, a step S30 of comparing the first QR code with the second QR code is performed to check whether the visitor is again. That is, if there is no second employee information in the step (S22) of checking whether there is the second employee information, the step (S31) of checking whether the first QR code is present during the step (S30) of comparing the first QR code and the second QR code is performed Therefore, it is possible to check the identity more reliably by re-verifying whether the employee is a visitor or not. Conversely, if there is information on the second employee in the step (S22) of checking whether the second employee information exists, the process returns to the step (S40) of comparing the first body change with the second body change.

If the identification is not an employee ID in the step (S20) of checking whether the ID is an employee ID, a step (S30) of comparing the first QR code with the second QR code is performed. Comparing the first QR code and the second QR code (S30) performs a step (S31) of checking whether the visitor's first QR code is present, as shown in FIG. 1 . If there is the visitor's first QR code, a step (S32) of checking whether the first QR code is within the set validity period is performed. In the step (S32) of checking whether the first QR code is within the set validity period, if the first QR code is within the set validity period, a step (S34) of comparing whether the first QR code and the pre-stored second QR code match each other is performed . In the step (S31) of checking whether the visitor's 1st QR code exists, or the 1st QR code is not within the set validity period in the step (S32) of checking whether there is no 1st QR code or the 1st QR code is within the set validity period A step of forming the first QR code (S33) is performed, and in the step (S33) of forming the first QR code by photographing the ID, any one of a resident registration card, a driver's license, and a passport is used as the identification card, and the priority of the identification card is the resident registration card , driver's license and passport are set in the order of priority, and the resident registration card is set as the highest priority, and the photo, personal information and fingerprint image on the resident registration card are measured to form the first QR code. If the first QR code is within the set validity period in the step (S32) of checking whether the first QR code is within the set validity period or when the first QR code is formed in the step (S33) of forming the first QR code by photographing the ID, the first QR code and a step (S34) of comparing whether the pre-stored second QR code matches each other is performed. In the step (S34) of comparing whether the first QR code and the second QR code stored in advance match each other, if the first QR code and the second QR code do not match each other, a step (S70) of generating a warning is performed.

The first QR code and the second QR code are extracted from an identification card containing three or more including a face image, a plurality of fingerprint feature points, name, resident registration number, address, and a face image among departments, respectively, and the plurality of fingerprint feature points is one fingerprint 5 to 15 feature points are included among the maximum number of feature points. That is, including 5 to 15 feature points out of the maximum number of feature points per one fingerprint protects individuals by not using the maximum feature point in one fingerprint image, and identification can be clearly distinguished only by face recognition using a mask. In the absence of a mask, it is possible to more accurately identify an individual by using a face image and a fingerprint image excluding the mask. These fingerprint feature points are extracted and stored using the fingerprint written on the resident registration card when visitor information is registered with the resident registration card.

If the ID card is an employee ID, in the step (S20) of checking whether the ID is an employee ID or the first QR code and the second QR code are compared in the step (S30), if the first QR code and the second QR code match, the first body change and the second A step (S40) of comparing body changes is performed. The step (S40) of comparing the first body change with the second body change performs the step (S41) of measuring the temperature of a visitor or a temple, as shown in FIG. 2 . When the temperature measurement is completed, a step (S42) of storing the measured temperature as the first body change is performed. When the measured temperature is stored as the first body change, a step (S43) of comparing the first body change with the second body change is performed. In the step (S43) of comparing the first body change with the second body change, a step (S44) of checking whether there is a change is performed to determine whether the body temperature of a visitor or an employee is changed and is not within the normal range Check it. For example, as a result of comparing the first body change with the second body change, in the step S44 of checking whether there is a change, if the first body change is within the range of the second body change, the first image information and the second The step (S50) of comparing the image information is performed, but if the first body change is not within the range of the second body change, the step (S70) of generating a warning is performed. That is, if the temperature of the visitor or employee is high, a warning is issued by performing the step (S70) of generating a warning. Here, in the step of comparing the first body change and the second body change, the body temperature change is used for the first body change and the second body change, and the second body change can measure blood pressure or heart rate in addition to the temperature change. , physical changes such as head shape or weight can be used, and these physical changes are measured periodically for each individual and stored as a second body change. Here, the measurement precision can be improved by measuring the period in units of months, quarters, or years.

When the first body change and the second body change match, the step of comparing the first image information with the second image information (S50) is performed, and the step of comparing the first image information with the second image information (S50) is the same as in FIG. A step (S51) of photographing the face of the visitor or employee is performed together. When a visitor or employee's face is photographed, a step (S52) of storing the photographed face as first image information is performed. When the photographed face is stored as the first image information, a step (S53) of comparing the first image information and the second image information is performed. Here, when the first body change and the second body change match, in the step of comparing the first image information and the second image information ( S53 ), the first image information among the first image information and the second image information is the part of the photographed face The image and the second image information is a face image that is captured before the shooting time of the first image information and stored in the server 100 (shown in FIG. 5), and the partial image of the face is taken while the face is covered with a mask and glasses. Images are used, and the captured images are used by recognizing facial expressions or physical features other than the face. As a result of the comparison in step S53, a step S54 of checking whether the first image information and the second image information match each other is performed. As a result of checking whether the first image information and the second image information match each other, if the first image information and the second image information do not match each other, a warning is issued by performing a warning step (S70), and if they match, a step (S60) of determining an access permission is performed do.

When the first image information and the second image information match, the step (S60) of determining the access permission is a visitor whose first image information and the second image information match each other, as shown in FIG. 4, and it is determined whether the visitor is normal. A confirmation step (S61) is performed. That is, it is checked whether the temperature is normal through the first body change and the second body change and whether the visitor is a normal visitor using the first image information and the second image information. As a result of the check, if the visitor is normal, step S62 of issuing a pass is performed. If the visitor's pass is issued in step S62 or it is confirmed that the employee is not a visitor and is normal in step S61, a step S63 of opening the speed gate 110 (shown in FIG. 5) is performed to enter By allowing non-contact, that is, by using a non-face-to-face method to identify a visitor or employee wearing a mask or measure the temperature, even when a mask or glasses are worn on the face, facial expressions or physical features other than the face are recognized and By detecting heat generated from the body in a non-contact manner and determining access control, non-contact time and attendance management or visit and access control can be easily performed. Access control can be precisely and reliably controlled by controlling access by preventing face recognition errors caused by masks or glasses by recognizing them as

A specific embodiment according to an embodiment of the method for managing access control based on body recognition of the present invention will be described with reference to FIG. 5 attached thereto.

5 is a device to which the body recognition-based access control management method of the present invention is applied, and includes a server 100 and a plurality of speed gates 110 . The server 100 manages the access control management method based on the body recognition of the present invention by controlling each of the plurality of speed gates 110 by wireless or wired networks, respectively, and controlling them as a whole. Each of the plurality of speed gates 110 includes a speed gate body 111, a radio-frequency identification (RFID) card reader 112, a terminal 113, a detection module 114, and an access permit outlet 115. do. The speed gate body 111 is provided with a door 111a that opens and closes in a sliding manner on one side or the other side in order to control the access of employees or visitors according to the control of the server 100 .

The RFID card reader 112 is disposed on the top of the speed gate body 111 to inspect the employee ID, and the terminal 113 is disposed on the top of the speed gate body 111 to be spaced apart from the RFID card reader 112 to provide an RFID card. By controlling the reader 112 or the detection module 114 as a whole, information measured by the RFID card reader 112 or the detection module 114 is displayed to the visitor or employee. The detection module 114 is disposed on the upper portion of the terminal 113, and includes a camera 114a, an infrared temperature meter 114b, a speaker 114c, and a microphone 114d.

The camera 114a is disposed on one side of the detection module 114 to capture the face or body features of a visitor or employee and transmit it to the server 100 through the terminal 113 as first image information or second image information. processed Here, the camera 114a may photograph a visitor or an employee and transmit it to the server 100 as first image information or second image information, wherein the first image information is a partial image of the photographed face, and the second image information is the second image information. 1 It is a face image captured before the shooting time of the image information and stored in the server 100 . As the partial image of the face, an image taken while the face is covered with a mask and glasses is used, and the photographed image is used by recognizing facial expressions or physical features other than the face. That is, the camera 114a is used to implement the step S50 of comparing the first image information with the second image information when the first body change and the second body change match. When the camera 114a transmits a photographed image to the server 100 by connecting the terminal 114c to the server 100 through a wired or wireless network, the server 100 uses the transmitted image as the first image information. set The face image taken by the camera 114a can be distinguished using the facial expression, etc. even when a part of the face is covered with a mask or glasses by applying the deep learning method in the server 100, and the first image information or the second By including the mask wearing status in the image information, it checks whether the mask is worn correctly or not, and generates a warning sound so that the manager can easily recognize it. By using the image technology using the camera 114a, it can be linked with a system to which a method of managing access or school attendance is applied, and interlocking with the speed gate 110 to control the access of people who may cause problems In general, it can be applied to all public places where entrances are installed.

The infrared temperature measuring device 114b is used to perform a step (S40) of comparing the first body change and the second body change when the first QR code and the second QR code match. For example, it is applied when the temperature change of the body is used as the first body change and the second body change in the step (S40) of comparing the first body change and the second body change, and this first body change or the second body change As for body changes, blood pressure or heart rate can be measured in addition to temperature changes, and physical changes such as head shape and weight can be used. That is, the infrared temperature measuring device 114b measures the non-contact temperature connected to the server 100 through a wired or wireless network through the terminal 113 , and the measured temperature is transmitted to the server 100 through the mobile terminal 113 . The server 100 sets the transmitted temperature information as the first body change, compares it with the second body change stored in advance, and proceeds with the next access permission procedure if it is normal. The speaker 114c is applied to perform the step S70 of generating a warning, and generates a warning sound when the temperature of the visitor or employee is high to inform the manager or the like that there is an abnormality in the body of the visitor or employee. The microphone 114d allows information to be exchanged through a non-contact conversation between the manager of the server 100 or the manager and the visitor who manages the speed gate 110 , or between the manager and the visitor, and between the visitor and the employee.

It is disposed on the upper portion of the terminal 113 provided in the detection module 114, and the speed gate 110 is entered and exited by using a camera 114a, an infrared temperature meter 114b, a speaker 114c, a microphone 114d, and the like. By checking the time, non-face-to-face time and attendance of employees can be checked, and visitors can perform non-face-to-face visit procedures. The visitor's non-face-to-face visit procedure can be authorized through the above-described process using the detection module 114 disposed on the plurality of speed gates 110, and the access permission is determined by the server 100, and the speed gate 110 ) can receive an access permit through the access permit outlet 115 disposed on the front part. This access permit outlet 115 outputs an adhesive access permit through a printer (not shown) disposed inside the speed gate 111 when the final access permission is determined by the visitor through the method described above in the server 100. The visitor access card is discharged or stored in a storage box (not shown) disposed inside the speed gate 111 is discharged.

As described above, the body recognition-based access control management method of the present invention recognizes facial expressions or physical features other than the face even when a mask or glasses are worn on the face, and heats generated from the body in a non-contact manner. By detecting and determining access control, it is possible to easily perform non-contact time and attendance management, visitation and access control. Access control can be precisely and reliably controlled by controlling access by preventing facial recognition errors.

The body recognition-based access control management method of the present invention is applied to a manufacturing industry field of an apparatus or method for time and attendance management or visitor access control management.

100: server
110: speed gate
111: speed gate body
112: RFID card reader
113: client terminal
114: detection module
115: exit of access permit

Claims (6)

checking identification;
checking whether the ID is an employee ID;
comparing a first QR code (quick response code) with a second QR code if the identification is not an employee ID;
If the ID card is an employee ID, if the ID card is an employee ID card or the first QR code and the second QR code match in the step of checking whether the ID card is an employee ID, the first body change and the second body change are performed comparing;
comparing first image information with second image information when the first body change matches the second body change; and
When the first image information and the second image information match, determining an access permission; includes,
Among the first QR code and the second QR code, the first QR code is a measured QR code, and the second QR code is a QR code measured before the measured first QR code and stored in the server. of the first body change, the first body change among the second body changes is the measured body change of the same individual, respectively, and the second body change is measured before the measured first body change and stored in the server body change, wherein the first image information and the second image information are the same image respectively, the first image information is a photographed face image, and the second image information is a face image photographed before the photographing of the first image information Access control management method based on human body recognition. According to claim 1,
measuring first employee information from the employee ID if there is an employee ID in the step of checking whether the ID is an employee ID; and
When the first employee information is measured, confirming whether there is second employee information measured before the formation of the first employee information that matches the first employee information;
If there is no first employee information in the step of measuring the first employee information, it returns to the step of comparing the first QR code with the second QR code. The employee ID includes a face, department name and name, and whether the second employee information is present If there is no second employee information in the step of confirming, the step of comparing the first QR code and the second QR code is performed, and if there is the second employee information, the body returning to the step of comparing the first body change and the second body change A recognition-based access control management method. According to claim 1,
The step of comparing the first QR code and the second QR code is
checking whether there is a first QR code of the visitor;
If there is the first QR code, checking whether the first QR code is within a set validity period;
If the first QR code is not within the set validity period in the step of checking whether the first QR code is not present or the first QR code is within the set validity period in the step of checking whether the visitor has the first QR code, an identification card is taken and the first QR code forming a; and
If the first QR code is within the set validity period in the step of checking whether the first QR code is within a set validity period, or when the first QR code is formed in the step of forming the first QR code by photographing the ID, the first QR code and Comprising; comparing whether the stored second QR code is consistent with each other;
In the step of forming the first QR code by photographing the identification card, any one of a resident registration card, a driver's license, and a passport is used as the identification card, and in the step of checking whether the first QR code is within a set validity period, the first QR code is set valid If it is within the period, comparing whether the first QR code and the pre-stored second QR code match each other, and in the step of comparing whether the first QR code and the pre-stored second QR code match each other, the first QR code and the first QR code A body recognition-based access control management method in which a step of generating an alert is performed when 2QR codes do not match each other. According to claim 1,
The first QR code and the second QR code are each extracted from an identification card containing three or more including a face image, a plurality of fingerprint feature points, name, resident registration number, address, and a face image among departments, and the plurality of fingerprint feature points are A method for managing access control based on body recognition including 5 to 15 key points among the maximum number of key points per fingerprint. 5. The method of claim 4,
When the first QR code and the second QR code match, in the step of comparing the first body change and the second body change, the first body change and the second body change are body temperature changes, body recognition-based access control management Way. According to claim 1,
When the first body change and the second body change match, in the step of comparing the first image information and the second image information, the first image information among the first image information and the second image information is a partial image of a photographed face and the second image information is a face image captured before the shooting time of the first image information and stored in the server, and the partial image of the face is an image taken while the face is covered with a mask.

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