Campus personnel access management system

Abstract

The invention provides a campus personnel access management system, which is characterized by comprising an intelligent access control module, a time recording and analyzing module, a display module, a display module and a display module, wherein the intelligent access control module is used for installing intelligent access control equipment at the entrance of a dormitory, and the time recording and analyzing module adopts various recognition modes such as face recognition and campus card recognition; comprising date, specific time point and other information; the data management and processing module is used for carrying out unified management on access records of the students, and managers can inquire information such as access history and the number of times that the students do not go to the boarding at night of the specific students through a system interface; the early warning module is used for automatically sending an early warning notification to a dormitory administrator, a tutor and other related personnel when the system detects that the student does not go to the dormitory at night or goes back at night; and the mobile terminal application module develops a mobile phone application program, so that the students can check own access records through mobile phones, and managers such as dormitory administrators and counselers can also inquire the access conditions of the students anytime and anywhere through the mobile terminal, and deal with abnormal conditions in time.

Description

Technical Field

[0001] The present invention relates to the technical field of campus personnel access management, and mainly to a campus personnel access management system. Background Art

[0002] Since university campuses are now open, and students basically leave their hometowns to study far away, school dormitories are a guarantee of students' safety.

[0003] However, at present, the records of dormitory occupants' absence at night and their entry and exit times often rely on manual registration or simple access control systems, which have problems such as low efficiency, low accuracy, and difficulty in real-time monitoring. The inability to timely grasp the situation of students' absence at night may pose a hidden danger to students' safety and is not conducive to effective management of the school. Summary of the invention

[0004] The present invention provides a campus personnel entry and exit management system to solve the technical problem raised in the background technology that the current recording of dormitory personnel who do not return at night and the entry and exit time often relies on manual registration or a simple access control system, which has the problems of low efficiency, low accuracy, difficulty in real-time monitoring, etc., and the inability to timely grasp the situation of students who do not return at night may bring hidden dangers to the safety of students and is not conducive to the effective management of the school.

[0005] The technical solution adopted by the present invention to solve the above technical problems is: a campus personnel access management system, which is composed of the following modules:

[0006] Smart access control module: Install smart access control equipment at the dormitory entrance, using multiple recognition methods such as face recognition and campus card recognition. Students enter the dormitory by scanning their faces or swiping their cards, and the system automatically records the entry and exit time;

[0007] Time recording and analysis module: accurately record the students' entry and exit time, including date, specific time point and other information, and store these data in the system database for query and analysis at any time;

[0008] Data management and processing module: Centralized management of students’ entry and exit records. Managers can query specific students’ entry and exit history, number of nights out, and other information through the system interface;

[0009] Early warning module: When the system detects that a student does not return home overnight or returns late, it automatically sends an early warning notification to dormitory administrators, counselors and other relevant personnel. The notification method may include mobile phone text messages, system pop-up windows, etc., to ensure that relevant personnel can understand the situation in a timely manner;

[0010] Mobile application module: Develop mobile applications so that students can check their entry and exit records and understand dormitory management regulations through their mobile phones. Dormitory administrators, counselors and other management personnel can also check students' entry and exit information anytime and anywhere through mobile devices and deal with abnormal situations in a timely manner.

[0011] Furthermore, the access control module receives information through campus card reading, face recognition and dormitory management verification. When one of the three is transmitted to the data management and processing module and recognized, the gate can punch in. If none of the campus card reading, face recognition and dormitory management verification information is received, the gate will be closed.

[0012] Furthermore, when there are outsiders and inspections, the dormitory management verification module can register through the registration module and then collect the portrait. After the portrait collection is completed, the gate can be opened after verification by the dormitory management.

[0013] Furthermore, after the outsider registers, the information recorded by the registration module and the face recognition information are both recorded in the data management and processing module. The face recognition is to set up a gate and automatically recognize people by walking.

[0014] Furthermore, the step of face recognition is to input an image: obtain an image containing a face as input;

[0015] S1 Face Detection: Use the target detection algorithm to detect the face area in the image;

[0016] S2 feature extraction: extract features from the detected face area to obtain a face feature vector;

[0017] S3 information matching: Match the facial feature vector with the personnel information stored in the background and calculate the similarity;

[0018] S4 result output: Determine whether the match is successful based on the similarity, and output the matching result and corresponding personnel information.

[0019] Furthermore, before issuing an early warning, the early warning module will send information to the student's mobile phone through the mobile application module. If the student replies within a certain time, the early warning will end. If the student does not reply, the early warning will be issued.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. Accurately record the entry and exit time of dormitory personnel and provide detailed data basis for school management.

[0022] 2. Effectively monitor students who do not return home overnight, promptly identify potential safety hazards, and improve campus safety levels.

[0023] 3. Improve dormitory management efficiency and reduce the workload and error rate of manual registration.

[0024] 4. It is convenient for students and administrators to query relevant information and promote the informatization and intelligence of campus management. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0026] Figure 2 It is a schematic diagram of the filtering structure of the present invention;

[0027] Figure 3 It is a schematic diagram of base connection of the present invention. DETAILED DESCRIPTION

[0028] To facilitate understanding of the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings, but the present invention can be implemented in different forms and is not limited to the embodiments described in the text. On the contrary, these embodiments are provided to make the content disclosed in the present invention more thorough and comprehensive.

[0029] For examples, please refer to the attached Figure 1-3 As shown, a campus personnel access management system consists of the following modules:

[0030] Smart access control module: Install smart access control equipment at the dormitory entrance, using multiple recognition methods such as face recognition and campus card recognition. Students enter the dormitory by scanning their faces or swiping their cards, and the system automatically records the entry and exit time;

[0031] Time recording and analysis module: accurately record the students' entry and exit times, including date, specific time point and other information. Store these data in the system database for easy query and analysis at any time;

[0032] Data management and processing module: Centralized management of students’ entry and exit records. Managers can query specific students’ entry and exit history, number of nights out, and other information through the system interface;

[0033] Early warning module: When the system detects that a student does not return home overnight or returns late, it automatically sends an early warning notification to dormitory administrators, counselors and other relevant personnel. The notification method can include mobile phone text messages, system pop-up windows, etc., to ensure that relevant personnel can understand the situation in a timely manner;

[0034] Mobile application module: Develop mobile applications so that students can check their entry and exit records and understand dormitory management regulations through their mobile phones. Dormitory administrators, counselors and other management personnel can also check students' entry and exit information anytime and anywhere through mobile devices and deal with abnormal situations in a timely manner.

[0035] The access control module receives information through campus card reading, face recognition and dormitory management verification. When one of the three is transmitted to the data management and processing module and recognized, the gate can punch in. If none of the campus card reading, face recognition and dormitory management verification information is received, the gate will be closed.

[0036] 7. When there are outsiders and inspections, the dormitory management verification module can register through the registration module and then collect the portrait. After the portrait is collected, the gate is opened after verification by the dormitory management;

[0037] After the outsider registers, the information recorded by the registration module and the face recognition information are recorded in the data management and processing module. The face recognition is to set up a gate and automatically recognize people by walking.

[0038] The steps of face recognition are as follows: inputting an image: obtaining an image containing a face as input;

[0039] S1 Face Detection: Use the target detection algorithm to detect the face area in the image;

[0040] S2 feature extraction: extract features from the detected face area to obtain a face feature vector;

[0041] S3 information matching: Match the facial feature vector with the personnel information stored in the background and calculate the similarity;

[0042] S4 result output: Determine whether the match is successful based on the similarity, and output the matching result and corresponding personnel information.

[0043] Before issuing an early warning, the early warning module will send information to the student's mobile phone through the mobile application module. If the student replies within a certain time, the early warning will end. If the student does not reply, the early warning will continue.

[0044] Working principle: When entering the dormitory, students can open the gate by using one of the following methods: student card, facial recognition or dormitory manager verification.

[0045] If a student goes out and does not come back at the designated time, a message will be automatically sent to confirm the student's failure to return. If the student replies and indicates the reason, the failure to return will be resolved. If there is still no reply after the designated time, the message will be pushed to the counselor and dormitory manager for corresponding processing.

[0046] At the same time, if students know during the day that they will not stay on campus at night, they can apply on the mobile terminal and record the reason, which will automatically cancel the evening reminder.

[0047] If outsiders or inspectors want to enter the dormitory, they can enter through the dormitory manager's verification. Of course, the dormitory manager will register the information and perform facial recognition records during verification, and also record the time of entry and exit. This method makes students safer at school.

[0048] The above is an exemplary description of the present invention in combination with the accompanying drawings. It is obvious that the specific implementation of the present invention is not limited to the above-mentioned method. As long as such non-substantial improvements are made by adopting the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A campus personnel access management system, characterized by: It consists of the following modules: Smart access control module: Install smart access control equipment at the dormitory entrance, using multiple recognition methods such as face recognition and campus card recognition. Students enter the dormitory by scanning their faces or swiping their cards, and the system automatically records the entry and exit time; Time recording and analysis module: accurately record the students' entry and exit time, including date, specific time point and other information, and store these data in the system database for query and analysis at any time; Data management and processing module: Centralized management of students’ entry and exit records. Managers can query specific students’ entry and exit history, number of nights out, and other information through the system interface; Early warning module: When the system detects that a student does not return home overnight or returns late, it automatically sends an early warning notification to dormitory administrators, counselors and other relevant personnel. The notification method may include mobile phone text messages, system pop-up windows, etc., to ensure that relevant personnel can understand the situation in a timely manner; Mobile application module: Develop mobile applications so that students can check their entry and exit records and understand dormitory management regulations through their mobile phones. Dormitory administrators, counselors and other management personnel can also check students' entry and exit information anytime and anywhere through mobile devices and deal with abnormal situations in a timely manner.

2. A campus personnel access management system according to claim 1, characterized in that: The access control module receives information through campus card reading, face recognition and dormitory management verification. When one of the three is transmitted to the data management and processing module and recognized, the gate can punch in. If none of the campus card reading, face recognition and dormitory management verification information is received, the gate will be closed.

3. A campus personnel access management system according to claim 2, characterized in that: When there are outsiders and inspections, the dormitory management verification module can register through the registration module and then collect the portrait. After the portrait collection is completed, the gate is opened after verification by the dormitory management.

4. A campus personnel access management system according to claim 2, characterized in that: After the outsider registers, the information recorded by the registration module and the information of face recognition are recorded in the data management and processing module.

5. A campus personnel access management system according to claim 2, characterized in that: The face recognition is to set up a gate and automatically recognize people when they walk.

6. A campus personnel access management system according to claim 5, characterized in that: The steps of face recognition are as follows: inputting an image: obtaining an image containing a face as input; S1 Face Detection: Use the target detection algorithm to detect the face area in the image; S2 feature extraction: extract features from the detected face area to obtain a face feature vector; S3 information matching: Match the facial feature vector with the personnel information stored in the background and calculate the similarity; S4 result output: Determine whether the match is successful based on the similarity, and output the matching result and corresponding personnel information.

7. A campus personnel access management system according to claim 2, characterized in that: Before issuing an early warning, the early warning module will send information to the student's mobile phone through the mobile application module. If the student replies within a certain time, the early warning will end. If the student does not reply, the early warning will continue.

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