CN115331346B

CN115331346B - Campus access control management method and device, electronic equipment and storage medium

Info

Publication number: CN115331346B
Application number: CN202211043646.9A
Authority: CN
Inventors: 孙成智; 王爱中
Original assignee: Shenzhen Jvt Technology Co ltd
Current assignee: Shenzhen Jvt Technology Co ltd
Priority date: 2022-08-30
Filing date: 2022-08-30
Publication date: 2024-02-13
Anticipated expiration: 2042-08-30
Also published as: CN115331346A

Abstract

The application relates to the field of traffic data management, in particular to a campus access control management method, device, equipment and medium. The method comprises the following steps: and acquiring traffic standard information, personnel identification information and current time information. The class information of the person and the transit time information corresponding to the class information of the person are determined based on the transit standard information. Class category information is determined based on the person identification information. And matching the class information with the personnel class information to obtain matched class information. And determining the traffic time information corresponding to the matched class information according to the corresponding relation between the class information and the traffic time information. It is determined whether the current time information corresponds to the transit time information. If yes, generating an entrance guard opening instruction to control entrance guard opening, and improving the passing efficiency.

Description

Campus access control management method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of traffic data management, and in particular, to a campus access control management method, device, electronic device, and storage medium.

Background

The safety problem of students in schools is an important topic, and none of the student's academic development, physical and mental health and the cooperation of parents and school parties is not based on the student's safety. Among the student safety problems, the entrance and exit school gate for ensuring the rapidness and safety of students is an important ring.

At present, although different schools have different scales, in general, the number of students in the schools is numerous, and when the students put in school/go on school, the students can get in and out of the schools in a concentrated manner, so that the efficiency of getting in and out of the schools is reduced.

Disclosure of Invention

In order to solve the problems in the prior art, the application provides a campus access control management method, a device, electronic equipment and a storage medium.

In a first aspect, the present application provides a method for developing campus access control management, which adopts the following technical scheme:

a method of campus access control management, comprising:

acquiring traffic standard information, personnel identification information and current time information;

determining class information of people based on the traffic standard information and traffic time information corresponding to the class information of people;

determining class category information based on the person identification information;

Matching the class information with the personnel class information to obtain matched class information;

determining the traffic time information corresponding to the matched class information according to the corresponding relation between the class information and the traffic time information;

determining whether the current time information accords with the passing time information;

if yes, generating an entrance guard opening instruction to control entrance guard opening.

In another possible implementation manner, the implementation personnel identification information determines personnel class category information, and further includes:

determining storage personnel information based on the traffic standard information;

judging whether the personnel identification information is matched with the stored personnel information or not;

if the two types of information are not matched, an alarm instruction is generated, and the alarm equipment is controlled to alarm.

In another possible implementation manner, the determining whether the person identifying information matches the stored person information further includes:

acquiring personnel face image information corresponding to the personnel identification information;

extracting the characteristics of the facial image information of the personnel to obtain the characteristics of the personnel;

inputting the facial image information of the personnel into a trained identification network model for identification to obtain personnel matching characteristics;

Counting the number of the personnel features and the personnel matching features respectively to obtain the number of the personnel features corresponding to the personnel features and the number of the matching features corresponding to the personnel matching features;

carrying out matching degree calculation on the personnel feature quantity and the matching feature quantity to obtain information matching degree;

judging whether the information matching degree is satisfied with a preset matching degree, if not, determining personnel abnormal characteristics based on the personnel matching characteristics and the personnel characteristics;

and carrying out abnormality analysis on the personnel abnormality characteristics to obtain at least one abnormality cause, and controlling and displaying the at least one abnormality cause.

In another possible implementation manner, the determining whether the current time information accords with the matching time information further includes:

judging whether the current time information exceeds the matching time information, and if so, acquiring the passing state information of students in the matching class information;

and determining whether the passing state information has preset state information, and if so, determining abnormal personnel information matched with the preset state information.

In another possible implementation method, the determining abnormal personnel information matched with the preset state information further includes:

Acquiring monitoring image information, wherein the monitoring image information is the image information shot before the current time information;

determining personnel position information of the abnormal personnel information and time information corresponding to the personnel position information according to the monitoring image information;

determining target time information meeting preset conditions based on the time information, and determining target position information corresponding to the target time information according to the corresponding relation between the personnel position information and the time information;

and controlling and displaying the target position information.

In another possible implementation, the method further includes:

acquiring personnel node data and associated personnel information corresponding to the personnel node data, wherein the personnel node data are different types of data generated between preset time nodes by each student;

carrying out data analysis on the personnel node data to generate a personnel node report;

and determining a personnel associated account based on the associated personnel information, and sending the personnel node report to the personnel associated account.

In another possible implementation manner, the generating the door opening command controls the door to be opened, and then further includes:

Acquiring a personnel passing direction corresponding to the personnel identification information;

determining a first passing direction and a second passing direction based on the current time information;

when the fact that the information of the person leading direction is the first passing direction is detected, changing the passing state information corresponding to the person identification information into normal state information;

after detecting that the access state information is changed, determining whether the personnel passing direction of the personnel in the matching time information is a second passing direction or not;

if yes, changing the passing state information corresponding to the personnel identification information into preset state information.

In a second aspect, the present application provides a campus access control device, including:

the information acquisition module is used for acquiring traffic standard information, personnel identification information and current time information;

the information determining module is used for determining personnel class information and passing time information corresponding to the personnel class information based on the passing standard information;

a class determination module for determining class category information based on the person identification information;

the information matching module is used for matching the class information with the personnel class information to obtain matched class information;

The information corresponding module is used for determining the passing time information corresponding to the matched class information according to the corresponding relation between the class information and the passing time information;

the information judging module is used for determining whether the current time information accords with the passing time information or not;

and the instruction generation module is used for generating an entrance guard opening instruction when the current time accords with the traffic time information and controlling entrance guard opening.

In one possible implementation, the apparatus further comprises: a personnel storage module, a personnel judgment module and an alarm instruction generation module are determined, wherein,

the storage personnel determining module is used for determining storage personnel information based on the traffic standard information;

the personnel judging module is used for judging whether the personnel identification information is matched with the stored personnel information;

and the alarm generation instruction module is used for generating an alarm instruction when the personnel identification information is not matched with the stored personnel information, and controlling the alarm equipment to alarm.

In another possible implementation method, the apparatus further includes: the device comprises an image acquisition module, a feature extraction module, a feature identification module, a feature statistics module, a matching degree calculation module, an analysis reason module and a display reason module, wherein,

The image acquisition module is used for acquiring personnel face image information corresponding to the personnel identification information;

the feature extraction module is used for extracting features of the facial image information of the personnel to obtain personnel features;

the distinguishing feature module is used for inputting the facial image information of the personnel into a trained distinguishing network model for distinguishing, so as to obtain personnel matching features;

the feature statistics module is used for respectively carrying out quantity statistics on the personnel features and the personnel matching features to obtain the personnel feature quantity corresponding to the personnel features and the matching feature quantity corresponding to the personnel matching features;

the matching degree calculation module is used for calculating the matching degree of the personnel feature quantity and the matching feature quantity to obtain information matching degree;

the analysis reason module is used for judging whether the information matching degree is satisfied with a preset matching degree, and if not, determining personnel abnormal characteristics based on the personnel matching characteristics and the personnel characteristics;

the display reason module is used for carrying out anomaly analysis on the personnel anomaly characteristic to obtain at least one anomaly reason and controlling and displaying the at least one anomaly reason.

In another possible implementation method, the apparatus further includes: the system comprises a state information grabbing module and a locking abnormal personnel module, wherein,

the state information grabbing module is used for judging whether the current time information exceeds the matching time information, and if so, acquiring the passing state information of students in the matching class information;

the abnormal personnel locking module is used for determining whether the traffic state information has preset state information, and if so, determining abnormal personnel information matched with the preset state information.

In another possible implementation method, the apparatus further includes: the system comprises a interception monitoring module, a relation binding module, a locking position module and a control display position module, wherein,

the intercepting and monitoring module is used for acquiring monitoring image information, wherein the monitoring image information is the image information shot before the current time information;

the relation binding module is used for determining personnel position information of the abnormal personnel information and time information corresponding to the personnel position information according to the monitoring image information;

the locking position module is used for determining target time information meeting preset conditions based on the time information, and determining target position information corresponding to the target time information according to the corresponding relation between the personnel position information and the time information;

The control display position module is used for controlling and displaying the target position information.

In one possible implementation, the apparatus further comprises: the system comprises an associated information acquisition module, a report generation module and a push report module, wherein,

the related information acquisition module is used for acquiring personnel node data and related personnel information corresponding to the personnel node data, wherein the personnel node data are different types of data generated by each student between preset time nodes;

the generation report module is used for carrying out data analysis on the personnel node data and generating a personnel node report;

and the push report module is used for determining a personnel associated account based on the associated personnel information and sending the personnel node report to the personnel associated account.

In another possible implementation method, the apparatus further includes: a passing direction obtaining module, a direction determining module, a direction changing module, a passing judging module and a state changing module, wherein,

the passing direction acquisition module is used for acquiring a passing direction of the person corresponding to the person identification information;

the direction determining module is used for determining a first passing direction and a second passing direction based on the current time information;

The direction changing module is used for changing the passing state information corresponding to the personnel identification information into normal state information when the fact that the personnel access direction information is the first passing direction is detected;

the passing judgment module is used for determining whether the passing direction of the personnel in the matching time information is a second passing direction or not after detecting that the leading state information is changed;

the state changing module is used for changing the passing state information corresponding to the personnel identification information into preset state information when the personnel passing direction of the personnel in the matching time information is the second passing direction.

In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:

an electronic device, the electronic device comprising:

at least one processor;

a memory;

at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: executing the campus access control management method.

In a fourth aspect, a computer readable storage medium is provided, the storage medium storing at least one instruction, at least one program, code set, or instruction set, the at least one instruction, at least one program, code set, or instruction set being loaded and executed by a processor to implement a campus access control management method as shown in any one of the possible implementations of the first aspect.

In summary, the present application includes the following beneficial technical effects:

compared with the related technology, in the method, face snapshot is carried out on a person passing through a school gate through acquisition equipment, a face image is generated and uploaded to the electronic equipment, personnel identification information is acquired, class information of the person on the image is found, class information is compared in a database according to pre-stored traffic standard information, the corresponding relation between class information and traffic time information is found, corresponding traffic time information is determined, and if the current time is matched with the obtained traffic time information, the electronic equipment transmits an entrance guard opening instruction to lock control in the background, so that entrance guard opening is released. Therefore, the information verification and control passing of personnel without manual intervention are realized, the passing time of the personnel is greatly reduced, and the problem of blockage is solved.

Drawings

Fig. 1 is a schematic flow chart of a campus access control management method according to an embodiment of the application;

fig. 2 is a schematic block diagram of a campus access control device according to an embodiment of the present application;

fig. 3 is a schematic diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The present application is described in further detail below in conjunction with figures 1-3.

Modifications of the embodiments which do not creatively contribute to the invention may be made by those skilled in the art after reading the present specification, but are protected by patent laws only within the scope of claims of the present application.

For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

In addition, the term "and/or" herein is merely an association relationship describing the association object, and indicates that three relationships may exist, for example, a campus access control method, apparatus, electronic device, storage medium, and/or B may indicate: the method, the device, the equipment and the medium for campus access control management exist independently, and the method, the device, the equipment and the medium for campus access control management and the B exist independently. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.

Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.

The embodiment of the application provides a campus access control management method, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., and the terminal device and the server may be directly or indirectly connected through wired or wireless communication, which is not limited herein, and as shown in fig. 1, the method includes:

and A001, acquiring traffic standard information, personnel identification information and current time information.

Wherein, traffic standard information: the correspondence of class category information with its passable period (hereinafter, passid), and storing personnel information,

personnel information is stored: correspondence between person images and person information (hereinafter, person ID including class information of person),

The person identification information includes: feature information of the face image after face feature extraction includes, but is not limited to: histogram features, color features, template features, structural features, and Haar features (Haar-like features).

The current time is the local time when the personnel passes and triggers to the image acquisition equipment to start working. And the face image or video stream uploaded by the acquisition equipment is processed by a face recognition algorithm to obtain the personnel identification information.

The method comprises the steps of realizing the presetting of communication standard information in an SQLITE database on an MQTT platform, wherein the preset content comprises the following steps: establishing two data tables, wherein the first table is a corresponding relation table of the issued white list personnel image and personnel class, for example, the images acquired by various orientations of the student first and class A class where the first is located are correspondingly established in the table; and the second table is a corresponding relation table of the class A and the passable time period, for example, a corresponding relation table is established between class A and 16 to 17 points of the passable time period.

Step a002, determining the class information of the person and the transit time information corresponding to the class information of the person based on the transit standard information.

For the embodiment of the application, the extracted face features are compared with the white list personnel image library in the pre-issued stored personnel information in real time to find personnel information matched with the white list library, for example, the face features of the first person are compared with the face features extracted from the pre-stored personnel image library to find the information of the first person.

Step a003, class category information is determined based on the person identification information.

According to the obtained matching personnel information and the corresponding relation between the personnel image table and class information which are bound in advance in the SQLITE database, the class of the matching personnel is searched; for example, student A is class A, and after the matched person is determined to be class A, the class corresponding to class A is searched.

And step A004, matching the class information with the personnel class information to obtain matched class information.

And step A005, determining the traffic time information corresponding to the matched class information according to the corresponding relation between the class information and the traffic time information.

And comparing the class information of the matched person in a database according to the corresponding relation between the class and the passable time period stored in advance, and finding the passable time period.

For example, after confirming that the traffic time is 1 th class, finding the corresponding traffic time of 1 st class in another table,

step a006, determining whether the current time information accords with the transit time information.

The timing module uploads the time when the acquisition device starts to acquire the face to the electronic device,

if the process of acquiring the same face image for multiple times exists, the last time of uploading the face image is taken as the target time when checking the time. If the student changes the position for a plurality of times when brushing the face, uploading the last successful time of brushing the face to check in the time range set again.

And step A007, if the command is met, generating an entrance guard opening command to control entrance guard opening.

If the current time is within the passing time period, the background electronic equipment transmits an entrance guard opening command to the lock control, so that the entrance guard is opened and released. The information verification and control passing of personnel without manual intervention are realized, and time and manpower are saved.

The embodiment of the application provides a campus access control management method, face snapshot is carried out on personnel passing through a school gate through acquisition equipment, face images are generated and uploaded to electronic equipment, personnel identification information is acquired, class information of the personnel on the images is found, the class information is compared in a database according to pre-stored traffic standard information, the corresponding relation between class information and traffic time information is found, corresponding traffic time information is determined, if the current time is matched with the obtained traffic time information, an access control opening instruction is transmitted to lock control by the electronic equipment in the background, and access control is opened and released. Therefore, the information verification and control passing of personnel without manual intervention are realized, the passing time of the personnel is greatly reduced, and the problem of blockage is solved.

In one possible implementation manner of the embodiment of the present application, step a003 further includes step a301 (not shown in the figure), step a302 (not shown in the figure), and step a303 (not shown in the figure), where,

Step a301, determining storage personnel information based on the traffic standard information.

Step a302, it is determined whether the person identification information matches the stored person information.

And step A303, if the two types of information are not matched, generating an alarm instruction, and controlling alarm equipment to alarm.

In embodiments of the present application, the alarm device includes, but is not limited to: warning light, emergency light, independent power supply, alarm buzzer, circuit control board, alarm controller, etc.

For the embodiment of the application, if the personnel identification information is not matched with the stored personnel information, the electronic equipment automatically controls to send an alarm instruction to the receiving end of the alarm equipment, and after receiving the alarm instruction, the alarm controller controls the alarm lamp to flash, and meanwhile, the alarm buzzer starts to send out sound for reminding security personnel.

In addition, electronic equipment and alarm device in this application embodiment still are connected with independent power supply, and independent power supply can guarantee sufficient electric quantity source, and when having a power failure or maliciously controlling power supply, circuit control board automatic switch-over circuit is to independent power supply, lights the emergency light simultaneously, ensures follow-up electronic equipment and alarm device normal operating.

If the alarm reason is a system false alarm or other needs for closing the alarm buzzer and the alarm lamp are found, the alarm is manually closed, and the operation flow is as follows: pressing a closing button on the alarm controller to generate a password frame, and inputting a password at the moment.

Step a302 is preceded by a possible implementation manner of the embodiment of the present application, and further includes a step S04 (not shown in the figure), a step S05 (not shown in the figure), a step S06 (not shown in the figure), a step S07 (not shown in the figure), a step S08 (not shown in the figure), a step S09 (not shown in the figure), and a step S10 (not shown in the figure), where,

step S04, person face image information corresponding to the person identification information is acquired.

And S05, extracting the characteristics of the facial image information of the personnel to obtain the characteristics of the personnel.

Wherein, personnel face image information: the face image is subjected to face feature extraction, and the data corresponding to the feature information, namely one of the personnel identification information is obtained.

For the embodiment of the application, the image preprocessing is performed on the face image of the person transmitted by the detection and acquisition portrait equipment, including but not limited to the accurate calibration of the characteristic position and characteristic information of the person image in the uploaded image.

Specifically, in the embodiment of the present application, the recognized face image of the person is preprocessed by adopting the modes of light compensation, gray level transformation, histogram equalization, normalization, geometric correction, filtering, sharpening, and the like, and then the face feature collection is performed on the processed face image of the person by adopting the OpenCV technology.

And storing the data such as algebraic features, pixel statistical features and the like of the face image obtained after the face features are collected in a storage data module, wherein the storage data module comprises a database.

And step S06, inputting the facial image information of the personnel into the trained identification network model for identification, and obtaining the personnel matching characteristics.

For the embodiment of the application, the collected feature data of the face image is searched and matched with the feature templates stored in the personal information in the sqlite database, and the features of the face image corresponding to the sqlite database are obtained.

In the neural network training process, the face images of the person stored in the sqlite database are used as training samples, an initial identification network model is created, and the training samples are input into the identification network model for training, so that the identification network model is well trained.

A variety of deep learning algorithms may be used in the neural network training and subsequent search matching process, including but not limited to: the same method as in step S04 is used in obtaining matching features.

For example, extracting the features of the five sense organs of the student A to obtain corresponding data, obtaining a pre-stored image of the beginning of the study which is pre-stored in the sqlite database and matched with the pre-stored image of the beginning of the study by using a default algorithm, and extracting the features of the pre-stored image of the beginning of the study.

Step S07, counting the number of the personnel features and the personnel matching features to obtain the number of the personnel features corresponding to the personnel features and the number of the matching features corresponding to the personnel matching features,

step S08, carrying out matching degree calculation on the personnel feature quantity and the matching feature quantity to obtain information matching degree,

for the embodiment of the application, the face features stored in the storage module in the step S05 and the matching features obtained in the step S06 are subjected to quantity data statistics and comparison calculation to obtain the matching degree of the face features and the matching features. For example, the feature data obtained in S05 is used as a denominator, the matching image feature data obtained in S06 is used as a numerator, and the ratio of the two is used as the matching degree.

Step S09, judging whether the information matching degree is satisfied with the preset matching degree, if not, determining the abnormal personnel characteristics based on the personnel matching characteristics and the personnel characteristics.

Wherein the preset matching degree is 80 percent.

The personnel abnormal characteristics are difference characteristics of the personnel characteristics corresponding to the identification personnel information in the face characteristics and the stored personnel information in the sqlite database determined according to the identification personnel information.

For the embodiment of the application, the preset matching degree is subtracted from the ratio obtained in S08 by 80%, if the result is greater than or equal to 0, the judgment result is pushed out to meet the matching degree, if the result is less than 0, the judgment result is pushed out to not meet the matching degree,

And after the result is that the matching degree is not satisfied, returning to the statistical process in the step of determining step S08, and determining the difference characteristics of the step S06 and the step S05.

And S10, carrying out abnormality analysis on the abnormal characteristics of the personnel to obtain at least one abnormality cause, and controlling and displaying the at least one abnormality cause.

For the embodiment of the present application, the abnormal feature determined in step S09 is analyzed, and the cause of the abnormal feature is obtained according to the algorithm analysis flow mentioned in step S06 and displayed above the display screen of the face recognition barrier gate.

Such as an eye feature mismatch in Zhang three facial features.

So that the personnel needing to pass can adjust the position and the angle of the personnel, and the identity verification can be completed faster through the entrance guard.

In one possible implementation manner of the embodiment of the present application, step a005 further includes step S11 (not shown in the figure) and step S11 (not shown in the figure), where,

and S11, judging whether the current time information exceeds the matching time information, and if so, acquiring the passing state information of students in the matching class information.

For the embodiment of the application, the matching time information is passable time corresponding to class two class in the sqlite database.

And the local time information that the personnel passes by and triggers to the collected portrait equipment to start working is used as the current time information.

And D, judging whether the current time is in a time set corresponding to the class category obtained in the step A004, and if the current time is beyond the time set, acquiring traffic state information corresponding to the class in the time. The traffic state information includes: passed and not passed.

For example, when it is identified that the bright is 1 class, the passable time corresponding to 1 class is 16:00-17:00, and the time for the camera to acquire the bright face image is 18:00, the passable state corresponding to 1 class is acquired: has been passed.

Step S12, determining whether the traffic state information has preset state information, and if so, determining abnormal personnel information matched with the preset state information.

Wherein, the preset state information is not passed,

for the embodiment of the present application, if it is determined that the traffic state in step S11 matches the preset state information, it indicates that there are non-traffic people in the class corresponding to the current matching class information, and returns to find abnormal people information that causes the non-matching information of the two, that is, returns to find the people information in step S11 for determining the matching class information.

For example, students in the first class of the Ming dynasty, the passable time corresponding to the first class of the student is 16:00-17:00, the time for the camera to acquire the face image of the Ming dynasty is 18:00, the time for the Ming dynasty to pass through the campus entrance guard is considered to be longer than the passable time period of the first class of the student, and if the state information which is preset is not passed, determining the personnel information stored in the first small and clear sqlite data table.

One possible implementation manner of the embodiment of the present application, step S12 is followed by step S13 (not shown in the figure), step S14 (not shown in the figure), step S15 (not shown in the figure), step S16 (not shown in the figure), where,

step S13, obtaining monitoring image information, wherein the monitoring image information is the image information shot before the current time information,

step S14, determining personnel position information of abnormal personnel information and time information corresponding to the personnel position information according to the monitoring image information.

For the embodiment of the application, before the current time mentioned in step a001, the electronic device performs face recognition on the image and the video stream uploaded by the acquisition device in the campus, so as to realize the combination of face recognition and monitoring technology and obtain the position and time of the occurrence of the abnormal personnel in step S12.

For example, when the first person is photographed at twelve am points and the person is determined to be an abnormal person, the twelve am points are the current time, and the position of the first person in the monitoring and the corresponding time before the twelve am points are found.

Step S15, determining target time information meeting preset conditions based on the time information, determining target position information corresponding to the target time information according to the corresponding relation between the personnel position information and the time information,

step S16, control displays the target position information.

Wherein the target time information of the preset condition is the time of the last abnormal personnel,

for the embodiment of the application, the electronic device intercepts the content meeting the preset condition in the image or video stream uploaded by the acquisition device, and adopts the face recognition technology to determine the last time the abnormal person appears in the monitoring before the current time.

And (4) according to the corresponding relation between the time and the position of the abnormal personnel, which is determined in the step (S14), the coordinates of the last occurrence of the abnormal personnel are found on the campus digital map provided by other third parties. And changing the coordinates into corresponding specific positions, and transmitting the specific positions to the display terminal. The display terminal may be a display screen of the electronic device in the background, or may be a display of another terminal.

In one possible implementation manner of the embodiment of the present application, step a007 further includes step S17 (not shown in the figure), step S18 (not shown in the figure), step S19 (not shown in the figure), where,

step S17, acquiring personnel node data and associated personnel information corresponding to the personnel node data, wherein the personnel node data is different types of data generated by each student between preset time nodes,

wherein, preset time node: one week or one month, is not particularly limited herein,

time node: the time elapsed for the person captured by the infrared sensor on the campus gate.

For the embodiment of the application, the personnel passing time of the passing personnel is obtained, namely the personnel passing time captured by the infrared sensor on the campus gate, and meanwhile, the passable time period corresponding to the personnel in the passing time standard is found, and the personnel passing time is compared with the passable time period. If the personnel passing time is earlier than the passable time period, generating data: passing in advance; if the personnel passing time is within the passable time period, generating data: normally passing through; if the personnel passing time is earlier than the passable time period, generating data: delay traffic.

In addition, the embodiment of the application further comprises a possibility that seven data, namely the interest direction and psychological condition reports of students, the learning attitude recorded by a teacher and the physical feature obtained by physical examination, which are obtained by the interest evaluation and psychological evaluation of school organization, are collected in a preset time node, and the delay passing times and the advance passing times which are mentioned before the step correspond to the frequency in the time node are used as basic contents of the interim report.

The seven items of data are provided with weights, prediction is made on the learning performance of students according to the existing machine learning algorithm, and the weight settings are adjusted according to feedback of teachers afterwards. Wherein the machine learning algorithm may be a variety of algorithms already developed in the market, such as self-organizing map networks (SOM).

Based on the data report, parents and teachers are recommended to adjust the direction of the education method for students, including psychological coaching, learning coaching, interpersonal learning, specialty development and the like, and then more information is obtained for report formation according to the feedback performance of the students.

And S18, carrying out data analysis on the personnel node data to generate a personnel node report.

For the embodiment of the application, after the data is generated in the step S17, the generated data content is bound with the passers mentioned in the step S17, and according to the pre-stored template, the personnel node report containing the four basic data of the generated data, passers name and class obtained by comparison in the step S17 and passable time period is finally formed.

Such as:

the medicine is prepared from the Chinese medicinal materials of Xiaoming,

two shifts of three years are carried out,

the traffic is normal, and the traffic is not limited,

passable time is 16:00-17:00.

Step S19, a personnel association account is determined based on the associated personnel information, and a personnel node report is sent to the personnel association account.

Wherein, the associated personnel information: name of passer-by.

An associated account: the method comprises the steps of reserving contact modes of social platforms such as guardians of passers or emergency contact micro-signal numbers, QQ numbers or mailbox numbers.

For the embodiment of the application, the electronic device finds the contact way of the guardian or the emergency contact corresponding to the personnel information in the database sqlite table according to the class name of the passer, finds the device number and the package name of the device APP, and pushes the personnel node to report to the target APP of the guardian or the emergency contact in real time. The present step pushes the report containing four data every day, and pushes each half of the learning period of the data report in the period in step S17.

And then collecting click rate, click time and time data of stay on a reading interface of the data report of parents, feeding three items of data of the click rate, the click time and the stay time back to the electronic equipment, dividing the parents according to the click rate, the click time and the stay time, and adjusting the time and the spread of sending the report. The method ensures that the situation of multiparty linkage is formed in the aspects of passing safety, physical and mental health of students and development of the academic, and education is carried out on the students in a targeted manner. For example, if the number of clicks of the parent in the range of 19:00-20:00 is 80% of the total number of clicks in the time range of collecting information, the next time the parent pushes a report is set to be 17:00.

In one possible implementation manner of the embodiment of the present application, step a007 further includes: step S20 (not shown in the figure), step S21 (not shown in the figure), step S22 (not shown in the figure), step S23 (not shown in the figure), step S24 (not shown in the figure), wherein,

step S20, a person passing direction corresponding to the person identification information is acquired.

Step S21, determining a first traffic direction and a second traffic direction based on the current time information.

For the embodiment of the application, the infrared sensor detects the passing of the personnel, the passing signal is transmitted, the electronic equipment determines the passing direction of the passing personnel according to the passing signal, the passing direction is defined as a first direction according to the current time information, and the non-passing direction (the direction opposite to the passing direction) is a second direction. For example, after school is put away, the gate-out direction is the passing direction, namely the first direction, and the returning campus is the non-passing direction, namely the second direction; before school, the gate-out direction is the non-passing direction, namely the second direction, and the entering campus is the passing direction, namely the first direction.

And step S22, when the fact that the personnel access direction information is the first passing direction is detected, the passing state information corresponding to the personnel identification information is changed into normal state information.

Step S23, after detecting that the access state information is changed, determining whether the personnel passing direction of the personnel in the matching time information is the second passing direction.

And S24, if yes, changing the traffic state information corresponding to the personnel identification information into preset state information.

The normal state information is passed, and the preset state information is not passed.

For the embodiment of the present application, after determining that the passing person passing direction belongs to the first direction or the second direction in step S21, the electronic device changes the passing state information of the passing person to be passed if the passing person passing direction is the first direction, and changes the passing state information of the passing person to be not passed if the passing person passing direction is the second direction.

If the same person passes again, whether the second direction is detected, and if the second direction is the second direction, the passing state is changed to be the non-passing state. For example, the passing state of the student A is changed into passing after leaving the school, but then the student A returns to the school to get things, and the passing state is changed into non-passing state when returning to the school at the moment, so that node report generation or personnel searching work can be conveniently unfolded.

To sum up, through student's business turn over management and control, set up scene access authority, seek single person's of falling afterwards, not only can promote the experience sense that intelligent gate machine was gone into and out, can also promote the security degree.

The above embodiments introduce a campus access control method from the aspect of a method flow, and the following embodiments introduce a campus access control device from the aspect of a virtual module or a virtual unit, which is specifically described in the following embodiments.

The embodiment of the application provides a campus access control device, as shown in fig. 2, this know campus access control device 20 specifically can include: an information acquisition module 21, an information determination module 22, a class determination module 23, an information matching module 24, an information correspondence module 25, an information judgment module 26, and an instruction generation module 27, wherein,

an information acquisition module 21 for acquiring traffic standard information, personnel identification information and current time information,

an information determination module 22 for determining class information of persons and transit time information corresponding to the class information of persons based on the transit standard information,

a class determination module 23 for determining class category information based on the person identification information,

an information matching module 24 for matching class information with personnel class information to obtain matching class information,

an information correspondence module 25 for determining the traffic time information corresponding to the matching class information according to the correspondence relationship between class information and traffic time information,

An information judgment module 26 for determining whether the current time information corresponds to the transit time information,

the instruction generating module 27 is configured to generate an entrance guard opening instruction to control entrance guard opening when the current time information accords with the transit time information.

In one possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a personnel storage module, a personnel judgment module and an alarm instruction generation module are determined, wherein,

a storage personnel determining module for determining storage personnel information based on the traffic standard information,

a personnel judging module for judging whether the personnel identifying information is matched with the stored personnel information,

Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: the device comprises an image acquisition module, a feature extraction module, a feature identification module, a feature statistics module, a matching degree calculation module, an analysis reason module and a display reason module, wherein,

an acquisition image module for acquiring face image information of the person corresponding to the person identification information,

The extraction feature module is used for extracting the features of the facial image information of the personnel to obtain the features of the personnel,

the distinguishing feature module is used for inputting the facial image information of the personnel into the trained distinguishing network model for distinguishing to obtain the matching features of the personnel,

the feature statistics module is used for respectively carrying out quantity statistics on the personnel features and the personnel matching features to obtain the personnel feature quantity corresponding to the personnel features and the matching feature quantity corresponding to the personnel matching features,

the matching degree calculation module is used for calculating the matching degree of the personnel feature quantity and the matching feature quantity to obtain the information matching degree,

an analysis reason module for judging whether the information matching degree is satisfied with the preset matching degree, if not, determining the abnormal personnel characteristic based on the personnel matching characteristic and the personnel characteristic,

and the display reason module is used for carrying out anomaly analysis on the personnel anomaly characteristics to obtain at least one anomaly reason and controlling and displaying the at least one anomaly reason.

Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: the system comprises a state information grabbing module and a locking abnormal personnel module, wherein,

the status information grabbing module is used for judging whether the current time information exceeds the matched time information, if so, acquiring the passing status information of students in the matched class information,

And the abnormal personnel locking module is used for determining whether the traffic state information has preset state information, and if so, determining abnormal personnel information matched with the preset state information.

Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: the system comprises a interception monitoring module, a relation binding module, a locking position module and a control display position module, wherein,

the intercepting and monitoring module is used for acquiring monitoring image information, wherein the monitoring image information is the image information shot before the current time information,

a relation binding module for determining personnel position information of abnormal personnel information and time information corresponding to the personnel position information according to the monitoring image information,

a locking position module for determining target time information meeting preset conditions based on the time information, determining target position information corresponding to the target time information according to the corresponding relation between the personnel position information and the time information,

and the control display position module is used for controlling and displaying the target position information.

Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: the system comprises an associated information acquisition module, a report generation module and a push report module, wherein,

The related information acquisition module is used for acquiring personnel node data and related personnel information corresponding to the personnel node data, wherein the personnel node data is data of different types generated by each student between preset time nodes,

a generation report module for performing data analysis on the personnel node data to generate a personnel node report,

and the pushing report module is used for determining a personnel associated account based on the associated personnel information and sending a personnel node report to the personnel associated account.

Another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: a passing direction obtaining module, a direction determining module, a direction changing module, a passing judging module and a state changing module, wherein,

the passing direction acquisition module is used for acquiring the passing direction of the personnel corresponding to the personnel identification information,

a direction determining module for determining a first passing direction and a second passing direction based on the current time information,

a direction changing module for changing the traffic state information corresponding to the person identification information to the normal state information when the person access direction information is detected as the first traffic direction,

a pass judgment module for determining whether the pass direction of the personnel in the matching time information is the second pass direction after detecting that the access state information is changed,

And the state changing module is used for changing the passing state information corresponding to the personnel identification information into preset state information when the personnel passing direction in the matching time information is the second passing direction.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

The embodiment of the application also describes an electronic device from the perspective of the entity apparatus, as shown in fig. 3, the electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein the processor 301 is coupled to the memory 303, such as via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that, in practical applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 is not limited to the embodiment of the present application.

The processor 301 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. Processor 301 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

Bus 302 may include a path to transfer information between the components. Bus 302 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. Bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.

The Memory 303 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

The memory 303 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 301. The processor 301 is configured to execute the application code stored in the memory 303 to implement what is shown in the foregoing method embodiments.

Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and stationary terminals such as digital TVs, desktop computers, and the like, and servers and the like. The electronic device shown in fig. 3 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments herein.

The present application provides a computer readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. In the embodiment of the application, face snapshot is carried out on a person passing through a gate of a school through acquisition equipment, a face image is generated and uploaded to electronic equipment, personnel identification information is acquired, class information of the person on the image is found, the class information is compared in a database according to pre-stored traffic standard information, the corresponding relation between class information and traffic time information is found, corresponding traffic time information is determined, and if the current time is matched with the obtained traffic time information, the electronic equipment transmits an entrance guard opening instruction to lock control in the background, so that entrance guard opening is released. Therefore, the information verification and control passing of personnel without manual intervention are realized, the passing time of the personnel is greatly reduced, and the problem of blockage is solved.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

The foregoing is only a partial embodiment of the present application and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims

1. The campus access control management method is characterized by comprising the following steps:

Determining personnel class information and traffic time information corresponding to the personnel class information based on the traffic standard information, wherein the traffic standard information comprises the corresponding relation between the personnel class information and the traffic time information and storing the personnel information;

determining the passing time information corresponding to the matching class information according to the corresponding relation between the class information of the personnel and the passing time information;

if yes, generating an entrance guard opening instruction to control entrance guard opening;

acquiring personnel node data and associated personnel information corresponding to the personnel node data, wherein the personnel node data are different types of data generated between preset time nodes by each student, and the personnel node data comprise: collecting the passing time, passing state and physical feature of students, which are obtained by school organization interest evaluation and psychological evaluation, of the directions of interest and psychological conditions of the students, and the learning attitude recorded by a teacher, in a preset time node;

determining a personnel associated account based on the associated personnel information, and sending the personnel node report to the personnel associated account;

the sending the personnel node report to the personnel associated account further comprises:

acquiring the click rate, click entering time and residence time of a person corresponding to a person associated account on a person node report;

dividing the personnel associated accounts according to the click rate, the click time and the residence time, and determining information receiving time and information receiving space of personnel corresponding to different personnel associated accounts;

and adjusting the sending time and the sending content of the personnel node report based on the information receiving time and the information receiving space.

2. The method of claim 1, wherein said determining class information based on said person identification information further comprises, before:

3. The method of claim 2, wherein said determining if said person identification information matches said stored person information further comprises:

4. The method of claim 1, wherein the determining whether the current time information corresponds to the transit time information further comprises:

judging whether the current time information exceeds the passing time information, and if so, acquiring passing state information of students in the matching class information;

5. The method of claim 4, wherein the determining abnormal personnel information matching the preset status information further comprises:

And controlling and displaying the target position information.

6. The method of claim 4, wherein generating the door opening command controls door opening, and further comprising:

when the personnel passing direction information is detected to be the first passing direction, changing the passing state information corresponding to the personnel identification information into normal state information;

after detecting that the traffic state information is changed, determining whether the traffic direction of the personnel in the traffic time information is a second traffic direction or not;

7. The utility model provides a campus entrance guard management device which characterized in that includes:

the information determining module is used for determining personnel class information and passing time information corresponding to the personnel class information based on the passing standard information, wherein the passing standard information comprises the corresponding relation between the personnel class information and the passing time information and stores the personnel information;

the information corresponding module is used for determining the passing time information corresponding to the matching class information according to the corresponding relation between the class information of the personnel and the passing time information;

the instruction generation module is used for generating an entrance guard opening instruction when the current time information accords with the transit time information, and controlling entrance guard opening;

the apparatus further comprises: the system comprises an associated information acquisition module, a report generation module and a push report module, wherein,

the related information acquisition module is configured to acquire personnel node data and related personnel information corresponding to the personnel node data, where the personnel node data is different types of data generated between preset time nodes by each student, and the personnel node data includes: collecting the passing time, passing state and physical feature of students, which are obtained by school organization interest evaluation and psychological evaluation, of the directions of interest and psychological conditions of the students, and the learning attitude recorded by a teacher, in a preset time node;

the pushing report module is used for determining a personnel associated account based on the associated personnel information and sending the personnel node report to the personnel associated account;

after the personnel node report is sent to the personnel associated account, the device further obtains the click rate, the click time and the stay time of personnel corresponding to the personnel associated account on the personnel node report;

8. An electronic device, comprising:

at least one processor;

a memory;

at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: a campus access control management method according to any one of claims 1 to 6.

9. A computer-readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed in a computer, causes the computer to perform the campus access control management method of any one of claims 1 to 6.