阅读说明：本技术 一种基于门禁设备的智能缴费系统 (Intelligent payment system based on access control equipment ) 是由 韩家宝 王泽印 于 2021-07-28 设计创作，主要内容包括：本发明公开了一种基于门禁设备的智能缴费系统,包括门禁设备、影像接收模块、身份识别模块、身份库、缴费匹配模块、缴费库、数据接收模块、数据处理模块、总控模块、信息发模块与预设接收设备；所述门禁设备包括显示屏与影像采集设备,所述显示屏用于显示身份验证信息与缴费信息,所述影像采集设备用于采集进行身份验证的用户的人脸影像信息；所述影像接收模块用于接收人脸影像信息,并对人脸影像信息进行清晰化处理后,生成清晰人脸影像信息,清晰人脸影像信息被发送到身份匹配模块；所述身份匹配模块用于对清晰人脸影像信息进行特征化处理获取到实时人脸特征信息。本发明能够更加准确的进行缴费信息的推送,更加值得推广使用。(The invention discloses an intelligent payment system based on access control equipment, which comprises access control equipment, an image receiving module, an identity recognition module, an identity library, a payment matching module, a payment library, a data receiving module, a data processing module, a master control module, an information sending module and preset receiving equipment, wherein the image receiving module is used for receiving images of the access control equipment; the access control equipment comprises a display screen and image acquisition equipment, wherein the display screen is used for displaying identity authentication information and payment information, and the image acquisition equipment is used for acquiring face image information of a user performing identity authentication; the image receiving module is used for receiving the face image information, generating clear face image information after the face image information is subjected to sharpening processing, and sending the clear face image information to the identity matching module; the identity matching module is used for performing characterization processing on the clear face image information to obtain real-time face feature information. The invention can more accurately push payment information and is more worthy of popularization and application.)

1. An intelligent payment system based on an access control device is characterized by comprising the access control device, an image receiving module, an identity recognition module, an identity library, a payment matching module, a payment library, a data receiving module, a data processing module, a master control module, an information sending module and a preset receiving device;

the access control equipment comprises a display screen and image acquisition equipment, wherein the display screen is used for displaying identity authentication information and payment information, and the image acquisition equipment is used for acquiring face image information of a user performing identity authentication;

the image receiving module is used for receiving the face image information, generating clear face image information after the face image information is subjected to sharpening processing, and sending the clear face image information to the identity matching module;

the identity matching module is used for performing characteristic processing on the clear face image information to obtain real-time face feature information, preset face feature information of all residents in a building where the access control equipment is located is prestored in an identity library, the identity matching module sends the real-time face feature information to the identity library for identity matching, user identity information is obtained after the identity matching is successful, and the user identity information is sent to the payment matching module;

the payment matching module acquires user identity information and then leads the user identity information into a payment base, user payment due information and historical payment record information are stored in the payment base, and the payment matching module acquires real-time user payment due information and the historical payment record information of the user from the payment base;

the real-time user payment due information and the user historical payment record information are sent to a data receiving module, and the data receiving module receives the real-time user payment due information and the user historical payment record information and then sends the real-time user payment due information and the user historical payment record information to a data processing module;

the data processing module carries out comprehensive processing on real-time user payment information and the user historical payment record information to generate payment reminding sending time information and reminding mode information;

after the payment reminding sending time information and the reminding mode information are generated, the master control module controls the information sending module to send the payment reminding sending time information and the reminding mode information to the preset receiving equipment.

2. The intelligent payment system based on entrance guard equipment of claim 1, characterized in that: the image receiving module carries out the sharpening process on the face image information to obtain the sharpened face image information, and the concrete processing process is as follows:

the method comprises the following steps: extracting the collected real-time face image information, and processing the real-time face image information by a BM3D noise reduction method to obtain a first clear image;

step two: then processing the real-time face image information by a DCT noise reduction method to obtain a second clear image;

step three: then processing the real-time human face image signal by a PCA noise reduction method to obtain a third clear image;

step four: extracting the first clear image, the second clear image and the third clear image, obtaining the definition M1 of the first clear image, the definition M2 of the second clear image and the definition M3 of the third clear image, ranking the definition M1 of the first clear image, the definition M2 of the second clear image and the definition M3 of the third clear image from high to low according to the definition, and extracting the image with the highest definition as clear human face image information.

3. The intelligent payment system based on entrance guard equipment of claim 2, characterized in that: the specific processing procedure of the BM3D noise reduction method is as follows: different denoising strategies are adopted, similar blocks are searched and filtered in a transform domain to obtain a block evaluation value, each point in an image is weighted to obtain a final denoising effect, namely, an image is divided into small pixel pieces with smaller sizes, a reference piece is selected, small pieces similar to the reference piece are searched to form a 3D block, the 3D block is obtained after the process, then, all the similar blocks are subjected to 3D transform, the transformed 3D block is subjected to threshold shrinkage and then subjected to 3D inverse transform, and finally, all the 3D blocks are restored into the image after weighted averaging, and the specific process is as follows:

s1: estimating block by block, grouping each block in the noisy image, finding out similar blocks and then gathering the similar blocks into a three-dimensional array;

s2: combining with a hard threshold, performing three-dimensional transformation on the formed three-dimensional array, weakening noise by performing hard threshold processing on coefficients of a transformation domain, then performing inverse transformation to obtain estimated values of all image blocks in the array, and then returning the estimated values to the original positions of the image blocks;

s3: aggregating, and carrying out weighted average on the obtained overlapped block estimates to obtain a basic estimate of the real image;

s4: estimating finally, block by block, grouping each block in the basic estimation image, finding out the positions of similar blocks similar to the block in the basic estimation image through block matching, obtaining two three-dimensional arrays through the positions, one obtained from the noise-containing image and the other obtained from the basic estimation image, combining wiener filtering, carrying out three-dimensional transformation on the two formed three-dimensional arrays, carrying out wiener filtering on the noise-containing three-dimensional array by taking an energy spectrum in the basic estimation image as an energy spectrum, then carrying out inverse transformation to obtain the estimation of all image blocks in the array, and then returning the estimation values to the original positions of the estimation values;

s5: and aggregating, namely obtaining the final estimation of the real image, namely the first clear image by carrying out weighted average on the obtained overlapped local block estimation.

4. The intelligent payment system based on entrance guard equipment of claim 1, characterized in that: the identity matching module is used for performing characterization processing on the clear face image information to obtain real-time face feature information and performing identity matching, and the specific processes are as follows:

SS 1: extracting the acquired real-time clear face image information, extracting feature points, and calculating to obtain real-time feature coefficients after extracting the feature points;

SS 2: converting preset face characteristic information of all residents in a building where the access control equipment in the identity library is located into preset characteristic coefficients;

SS 3: and sending the acquired real-time characteristic coefficients to an identity library to be matched with preset characteristic coefficients in the identity library, and acquiring user identity information after matching is successful.

5. The intelligent payment system based on entrance guard's equipment of claim 4, characterized in that: the specific process of extracting the feature points is as follows:

step (1): extracting the collected real-time human face image information, marking the nose tip point of the real-time human face image information as a point A1, and marking the lowest points of the two earlobes as a point A2 and a point A3 respectively;

step (2): connecting the point A1 with the point A2 and the point A3 respectively to obtain a line segment L1 and a line segment L2, measuring the lengths of the line segment L1 and the line segment L2, and then obtaining the length of the line segment L1 and the length of the line segment L2 through the formula (L1+ L2)/2 ═ L_{Are all made of}To obtain the average value L of the line segment L1 and the line segment L2_{Are all made of}；

After the step (3), taking a point A1 as a circle center and taking L as a circle center_{Are all made of}And/2, drawing a circle by the radius to obtain a circle F, and calculating the area of the circle F to obtain the real-time characteristic coefficient.

6. The intelligent payment system based on entrance guard's equipment of claim 4, characterized in that: the matching process in the SS3 is as follows: and calculating the difference between the real-time characteristic coefficient and all preset characteristic coefficients to obtain x coefficient differences J, wherein x is 1 … … n, and the verification is passed when the coefficient difference J smaller than the preset value exists in the absolute values of the x coefficient differences J.

7. The intelligent payment system based on entrance guard equipment of claim 1, characterized in that: the specific processing process of the payment reminding sending time information is as follows:

step a: after user identity information is acquired, uploading the user identity information to a payment base, and acquiring payment due information and payment due time information corresponding to the user identity information from the payment base;

step b: extracting time information during collection, and marking the time information of due payment as T_{Preparation of}Marking the time information as T_{Fruit of Chinese wolfberry}；

Step c: extracting past payment records of the user, and obtaining difference Dm between m due payment times and actual payment times from the past payment records, wherein m is 1 … … n;

step d: calculating the time information T of payment_{Preparation of}Time information T of collecting time_{Fruit of Chinese wolfberry}Difference between them, obtaining time difference T_{Difference (D)}；

Step e: by the formula (D1+ D2+ D3+ D4+ D5+ … … Dm)/m ═ D_{Are all made of}Obtaining the past payment time difference mean value D_{Are all made of}；

Step f: time information T of paying fee_{Preparation of}Minus the past payment time difference mean value D_{Are all made of}And obtaining the user habit payment time information, namely the payment reminding sending time information.

8. The intelligent payment system based on entrance guard equipment of claim 1, characterized in that: the specific content of the reminding mode information is as follows: the payment reminding information is sent to the preset receiving equipment of the payor after the payment reminding sending time information is sent, the payment state of the payment reminding information is monitored, payment is carried out after the payment reminding information is received, the payment reminding information is sent to a payment success receipt, when the payment reminding information is not paid after the payment reminding information is received for a preset time, the payment reminding information is sent to the payment reminding information again, and the interval between the two payment reminding information is not less than the preset time.

Technical Field

The invention relates to the field of intelligent payment, in particular to an intelligent payment system based on access control equipment.

Background

The self-service payment is services provided by power, communication and banks for paying mobile phone charges, telephone charges, water charges, electric charges and other charges for your person or other people through internet banks, telephone banks, mobile phone banks, ATMs and other self-service equipment, a payment system is required to be used when self-service payment is carried out, and the payment system can remind a user of payment time and payment details.

The existing payment system is unreasonable and inaccurate in payment information pushing, uses special equipment more when performing payment recommendation, causes resource waste, greatly influences the use experience of the payment system, and brings certain influence to the use of the payment system, so that the intelligent payment system based on the access control equipment is provided.

Disclosure of Invention

The technical problem to be solved by the invention is as follows: how to solve current payment system, the information propelling movement of collecting fee is unreasonable inaccurate, uses professional equipment more when carrying out the recommendation of collecting fee, has caused the waste of resource, has influenced the use experience of the system of collecting fee greatly, has brought the problem of certain influence for the use of the system of collecting fee, provides an intelligent payment system based on entrance guard's equipment.

The invention solves the technical problems through the following technical scheme, and the invention comprises an entrance guard device, an image receiving module, an identity recognition module, an identity library, a payment matching module, a payment library, a data receiving module, a data processing module, a master control module, an information sending module and a preset receiving device;

the access control equipment comprises a display screen and image acquisition equipment, wherein the display screen is used for displaying identity authentication information and payment information, and the image acquisition equipment is used for acquiring face image information of a user performing identity authentication;

the image receiving module is used for receiving the face image information, generating clear face image information after the face image information is subjected to sharpening processing, and sending the clear face image information to the identity matching module;

the identity matching module is used for performing characteristic processing on the clear face image information to obtain real-time face feature information, preset face feature information of all residents in a building where the access control equipment is located is prestored in an identity library, the identity matching module sends the real-time face feature information to the identity library for identity matching, user identity information is obtained after the identity matching is successful, and the user identity information is sent to the payment matching module;

the payment matching module acquires user identity information and then leads the user identity information into a payment base, user payment due information and historical payment record information are stored in the payment base, and the payment matching module acquires real-time user payment due information and the historical payment record information of the user from the payment base;

the real-time user payment due information and the user historical payment record information are sent to a data receiving module, and the data receiving module receives the real-time user payment due information and the user historical payment record information and then sends the real-time user payment due information and the user historical payment record information to a data processing module;

the data processing module carries out comprehensive processing on real-time user payment information and the user historical payment record information to generate payment reminding sending time information and reminding mode information;

after the payment reminding sending time information and the reminding mode information are generated, the master control module controls the information sending module to send the payment reminding sending time information and the reminding mode information to the preset receiving equipment.

Preferably, the image receiving module performs a sharpening process on the face image information to obtain the sharpened face image information, and the concrete processing process is as follows:

the method comprises the following steps: extracting the collected real-time face image information, and processing the real-time face image information by a BM3D noise reduction method to obtain a first clear image;

step two: then processing the real-time face image information by a DCT noise reduction method to obtain a second clear image;

step three: then processing the real-time human face image signal by a PCA noise reduction method to obtain a third clear image;

step four: extracting the first clear image, the second clear image and the third clear image, obtaining the definition M1 of the first clear image, the definition M2 of the second clear image and the definition M3 of the third clear image, ranking the definition M1 of the first clear image, the definition M2 of the second clear image and the definition M3 of the third clear image from high to low according to the definition, and extracting the image with the highest definition as clear human face image information.

Preferably, the specific processing procedure of the BM3D noise reduction method is as follows: different denoising strategies are adopted, similar blocks are searched and filtered in a transform domain to obtain a block evaluation value, each point in an image is weighted to obtain a final denoising effect, namely, an image is divided into small pixel pieces with smaller sizes, a reference piece is selected, small pieces similar to the reference piece are searched to form a 3D block, the 3D block is obtained after the process, then, all the similar blocks are subjected to 3D transform, the transformed 3D block is subjected to threshold shrinkage and then subjected to 3D inverse transform, and finally, all the 3D blocks are restored into the image after weighted averaging, and the specific process is as follows:

s1: estimating block by block, grouping each block in the noisy image, finding out similar blocks and then gathering the similar blocks into a three-dimensional array;

s2: combining with a hard threshold, performing three-dimensional transformation on the formed three-dimensional array, weakening noise by performing hard threshold processing on coefficients of a transformation domain, then performing inverse transformation to obtain estimated values of all image blocks in the array, and then returning the estimated values to the original positions of the image blocks;

s3: aggregating, and carrying out weighted average on the obtained overlapped block estimates to obtain a basic estimate of the real image;

s4: and finally estimating, namely, estimating block by block, grouping each block in the basic estimation image, finding the positions of similar blocks similar to the block in the basic estimation image through block matching, and obtaining two three-dimensional arrays through the positions, wherein one three-dimensional array is obtained from the noisy image, and the other three-dimensional array is obtained from the basic estimation image, and the two three-dimensional arrays are subjected to combined wiener filtering. Carrying out three-dimensional transformation on the two formed three-dimensional arrays, carrying out wiener filtering on the noisy three-dimensional array by taking an energy spectrum in a basic estimation image as an energy spectrum, then carrying out inverse transformation to obtain the estimation of all image blocks in the array, and then returning the estimation values to the original positions of the image blocks;

s5: and aggregating, namely obtaining the final estimation of the real image, namely the first clear image by carrying out weighted average on the obtained overlapped local block estimation.

Preferably, the identity matching module is configured to perform characterization processing on the clear face image information to obtain real-time face feature information, and perform identity matching in the following specific process:

SS 1: extracting the acquired real-time clear face image information, extracting feature points, and calculating to obtain real-time feature coefficients after extracting the feature points;

SS 2: converting preset face characteristic information of all residents in a building where the access control equipment in the identity library is located into preset characteristic coefficients;

SS 3: and sending the acquired real-time characteristic coefficients to an identity library to be matched with preset characteristic coefficients in the identity library, and acquiring user identity information after matching is successful.

Preferably, the specific process of feature point extraction is as follows:

step (1): extracting the collected real-time human face image information, marking the nose tip point of the real-time human face image information as a point A1, and marking the lowest points of the two earlobes as a point A2 and a point A3 respectively;

step (2): connecting the point A1 with the point A2 and the point A3 respectively to obtain a line segment L1 and a line segment L2, measuring the lengths of the line segment L1 and the line segment L2, and then obtaining the length of the line segment L1 and the length of the line segment L2 through the formula (L1+ L2)/2 ═ L_{Are all made of}To obtain the average value L of the line segment L1 and the line segment L2_{Are all made of}；

After the step (3), taking a point A1 as a circle center and taking L as a circle center_{Are all made of}And/2, drawing a circle by the radius to obtain a circle F, and calculating the area of the circle F to obtain the real-time characteristic coefficient.

Preferably, the matching process in the SS3 is as follows: and calculating the difference between the real-time characteristic coefficient and all preset characteristic coefficients to obtain x coefficient differences J, wherein x is 1 … … n, and the verification is passed when the coefficient difference J smaller than the preset value exists in the absolute values of the x coefficient differences J.

Preferably, the specific processing procedure of sending the time information of the payment reminder is as follows:

step a: after user identity information is acquired, uploading the user identity information to a payment base, and acquiring payment due information and payment due time information corresponding to the user identity information from the payment base;

step b: extracting time information during collection, and marking the time information of due payment as T_{Preparation of}Marking the time information as T_{Fruit of Chinese wolfberry}；

Step c: extracting past payment records of the user, and obtaining difference Dm between m due payment times and actual payment times from the past payment records, wherein m is 1 … … n;

step d: calculating the time information T of payment_{Preparation of}Time information T of collecting time_{Fruit of Chinese wolfberry}Difference between them, obtaining time difference T_{Difference (D)}；

Step e: by the formula (D1+ D2+ D3+ D4+ D5+ … … Dm)/m ═ D_{Are all made of}Obtaining the past payment time difference mean value D_{Are all made of}；

Step f: time information T of paying fee_{Preparation of}Minus the past payment time difference mean value D_{Are all made of}And obtaining the user habit payment time information, namely the payment reminding sending time information.

Preferably, the specific content of the reminding mode information is as follows: the payment reminding information is sent to the preset receiving equipment of the payor after the payment reminding sending time information is sent, the payment state of the payment reminding information is monitored, payment is carried out after the payment reminding information is received, the payment reminding information is sent to a payment success receipt, when the payment reminding information is not paid after the payment reminding information is received for a preset time, the payment reminding information is sent to the payment reminding information again, and the interval between the two payment reminding information is not less than the preset time.

Compared with the prior art, the invention has the following advantages: the intelligent payment system based on the entrance guard equipment collects the identity information of the user by using the image acquisition equipment on the entrance guard equipment to carry out payment reminding, thereby saving the trouble of the traditional leaflet type reminding, the payment efficiency is effectively improved, simultaneously, the waste of paper resources is reduced, the collection and the reminding are carried out through the entrance guard equipment, the waste of funds caused by the installation of other reminding equipment is reduced, moreover, the invention can effectively reduce the condition of the false sending of the reminding information caused by the face image identification processing through more reasonable face image processing, and through collecting the past payment record information, more reasonable user payment reminding information sending time and information sending mode are formulated, the increase of user disgust caused by too frequent reminding information sending is effectively avoided, the use experience of the system is greatly promoted, and the system is more worthy of popularization and use.

Drawings

FIG. 1 is a system block diagram of the present invention.

Detailed Description

The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.

As shown in fig. 1, the present embodiment provides a technical solution: an intelligent payment system based on an access control device comprises the access control device, an image receiving module, an identity recognition module, an identity base, a payment matching module, a payment base, a data receiving module, a data processing module, a master control module, an information sending module and a preset receiving device;

the access control equipment comprises a display screen and image acquisition equipment, wherein the display screen is used for displaying identity authentication information and payment information, and the image acquisition equipment is used for acquiring face image information of a user performing identity authentication;

the image receiving module is used for receiving the face image information, generating clear face image information after the face image information is subjected to sharpening processing, and sending the clear face image information to the identity matching module;

the identity matching module is used for performing characteristic processing on the clear face image information to obtain real-time face feature information, preset face feature information of all residents in a building where the access control equipment is located is prestored in an identity library, the identity matching module sends the real-time face feature information to the identity library for identity matching, user identity information is obtained after the identity matching is successful, and the user identity information is sent to the payment matching module;

the payment matching module acquires user identity information and then leads the user identity information into a payment base, user payment due information and historical payment record information are stored in the payment base, and the payment matching module acquires real-time user payment due information and the historical payment record information of the user from the payment base;

the real-time user payment due information and the user historical payment record information are sent to a data receiving module, and the data receiving module receives the real-time user payment due information and the user historical payment record information and then sends the real-time user payment due information and the user historical payment record information to a data processing module;

the data processing module carries out comprehensive processing on real-time user payment information and the user historical payment record information to generate payment reminding sending time information and reminding mode information;

after the payment reminding sending time information and the reminding mode information are generated, the master control module controls the information sending module to send the payment reminding sending time information and the reminding mode information to the preset receiving equipment.

The image receiving module carries out the sharpening process on the face image information to obtain the sharpened face image information, and the concrete processing process is as follows:

the method comprises the following steps: extracting the collected real-time face image information, and processing the real-time face image information by a BM3D noise reduction method to obtain a first clear image;

step two: then processing the real-time face image information by a DCT noise reduction method to obtain a second clear image;

step three: then processing the real-time human face image signal by a PCA noise reduction method to obtain a third clear image;

step four: extracting a first clear image, a second clear image and a third clear image, obtaining the definition M1 of the first clear image, the definition M2 of the second clear image and the definition M3 of the third clear image, ranking the definition M1 of the first clear image, the definition M2 of the second clear image and the definition M3 of the third clear image from high to low according to the definition, and extracting the image with the highest definition as clear face image information;

the acquired face image is informationized, so that the subsequent face image identification can be better facilitated, and the condition of identification errors is reduced.

The specific processing procedure of the BM3D noise reduction method is as follows: different denoising strategies are adopted, similar blocks are searched and filtered in a transform domain to obtain a block evaluation value, each point in an image is weighted to obtain a final denoising effect, namely, an image is divided into small pixel pieces with smaller sizes, a reference piece is selected, small pieces similar to the reference piece are searched to form a 3D block, the 3D block is obtained after the process, then, all the similar blocks are subjected to 3D transform, the transformed 3D block is subjected to threshold shrinkage and then subjected to 3D inverse transform, and finally, all the 3D blocks are restored into the image after weighted averaging, and the specific process is as follows:

s1: estimating block by block, grouping each block in the noisy image, finding out similar blocks and then gathering the similar blocks into a three-dimensional array;

s2: combining with a hard threshold, performing three-dimensional transformation on the formed three-dimensional array, weakening noise by performing hard threshold processing on coefficients of a transformation domain, then performing inverse transformation to obtain estimated values of all image blocks in the array, and then returning the estimated values to the original positions of the image blocks;

s3: aggregating, and carrying out weighted average on the obtained overlapped block estimates to obtain a basic estimate of the real image;

s4: and finally estimating, namely, estimating block by block, grouping each block in the basic estimation image, finding the positions of similar blocks similar to the block in the basic estimation image through block matching, and obtaining two three-dimensional arrays through the positions, wherein one three-dimensional array is obtained from the noisy image, and the other three-dimensional array is obtained from the basic estimation image, and the two three-dimensional arrays are subjected to combined wiener filtering. Carrying out three-dimensional transformation on the two formed three-dimensional arrays, carrying out wiener filtering on the noisy three-dimensional array by taking an energy spectrum in a basic estimation image as an energy spectrum, then carrying out inverse transformation to obtain the estimation of all image blocks in the array, and then returning the estimation values to the original positions of the image blocks;

s5: and aggregating, namely obtaining the final estimation of the real image, namely the first clear image by carrying out weighted average on the obtained overlapped local block estimation.

The identity matching module is used for performing characterization processing on the clear face image information to obtain real-time face feature information and performing identity matching, and the specific processes are as follows:

SS 1: extracting the acquired real-time clear face image information, extracting feature points, and calculating to obtain real-time feature coefficients after extracting the feature points;

SS 2: converting preset face characteristic information of all residents in a building where the access control equipment in the identity library is located into preset characteristic coefficients;

SS 3: sending the obtained real-time characteristic coefficients to an identity library and matching the real-time characteristic coefficients with preset characteristic coefficients in the identity library, wherein user identity information is obtained after matching is successful;

identity authentication can be performed better and more accurately through the process.

The specific process of extracting the feature points is as follows:

step (1): extracting the collected real-time human face image information, marking the nose tip point of the real-time human face image information as a point A1, and marking the lowest points of the two earlobes as a point A2 and a point A3 respectively;

step (2): connecting the point A1 with the point A2 and the point A3 respectively to obtain a line segment L1 and a line segment L2, measuring the lengths of the line segment L1 and the line segment L2, and then obtaining the length of the line segment L1 and the length of the line segment L2 through the formula (L1+ L2)/2 ═ L_{Are all made of}To obtain the average value L of the line segment L1 and the line segment L2_{Are all made of}；

After the step (3), taking a point A1 as a circle center and taking L as a circle center_{Are all made of}/2 is drawn as a circle with a radiusAnd calculating the area of the circle F to obtain the real-time characteristic coefficient.

The matching process in the SS3 is as follows: and calculating the difference between the real-time characteristic coefficient and all preset characteristic coefficients to obtain x coefficient differences J, wherein x is 1 … … n, and the verification is passed when the coefficient difference J smaller than the preset value exists in the absolute values of the x coefficient differences J.

The specific processing process of the payment reminding sending time information is as follows:

step a: after user identity information is acquired, uploading the user identity information to a payment base, and acquiring payment due information and payment due time information corresponding to the user identity information from the payment base;

step b: extracting time information during collection, and marking the time information of due payment as T_{Preparation of}Marking the time information as T_{Fruit of Chinese wolfberry}；

Step c: extracting past payment records of the user, and obtaining difference Dm between m due payment times and actual payment times from the past payment records, wherein m is 1 … … n;

step d: calculating the time information T of payment_{Preparation of}Time information T of collecting time_{Fruit of Chinese wolfberry}Difference between them, obtaining time difference T_{Difference (D)}；

Step e: by the formula (D1+ D2+ D3+ D4+ D5+ … … Dm)/m ═ D_{Are all made of}Obtaining the past payment time difference mean value D_{Are all made of}；

Step f: time information T of paying fee_{Preparation of}Minus the past payment time difference mean value D_{Are all made of}Obtaining user habit payment time information, namely payment reminding sending time information;

through the process, more reasonable payment reminding time can be obtained, the increase of the disgust of the user caused by too frequent sending of reminding information is effectively avoided, and the use experience of the system is greatly improved.

The specific content of the reminding mode information is as follows: the payment reminding information is sent to the preset receiving equipment of the payor after the payment reminding sending time information is sent, the payment state of the payment reminding information is monitored, payment is carried out after the payment reminding information is received, the payment reminding information is sent to a payment success receipt, when the payment reminding information is not paid after the payment reminding information is received for a preset time, the payment reminding information is sent to the payment reminding information again, and the interval between the two payment reminding information is not less than the preset time.

In summary, when the invention is used, an image acquisition device on an entrance guard device acquires face image information of a user for identity authentication, a display screen on the entrance guard device displays the identity authentication information and payment information, an image receiving module receives the face image information and generates clear face image information after the face image information is subjected to sharpening processing, the clear face image information is sent to an identity matching module, the identity matching module performs characterization processing on the clear face image information to obtain real-time face feature information, preset face feature information of all residents in a building where the entrance guard device is located is prestored in an identity library, the identity matching module sends the real-time face feature information to an identity library for identity matching, the identity matching module acquires the user identity information after the identity matching is successful, the user identity information is sent to the payment matching module, the payment matching module acquires the user identity information and then leads the user identity information into the payment library, the payment base stores user payment due information and historical payment record information, the payment matching module acquires real-time user payment due information and the user historical payment record information from the payment base, the real-time user payment due information and the user historical payment record information are sent to the data receiving module, the data receiving module receives the real-time user payment due information and the user historical payment record information and then sends the real-time user payment due information and the user historical payment record information to the data processing module, the data processing module performs comprehensive processing on the real-time user payment due information and the user historical payment record information to generate payment reminding sending time information and reminding mode information, and the master control module controls the information sending module to send the payment reminding sending time information and the reminding mode information to the preset receiving equipment after the payment reminding sending time information and the reminding mode information are generated.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.