A campus visitor monitoring system and method

Abstract

The present invention discloses a campus visitor monitoring system and method, including: a plurality of identification devices, a plurality of monitoring devices, a central server, a route control system, a first terminal, and a second terminal; visitors log in to the central server through the first terminal, fill in the access reservation registration form, and obtain the electronic map of the visitor navigation route from the central server; the management personnel log in to the central server through the second terminal to review the access reservation registration of the visitors; a plurality of identification devices and a plurality of monitoring devices are distributed in the campus to generate visitor detection data and send it to the central server; the route control system receives the visitor detection data sent by the central server, processes and analyzes the visitor detection data, and determines whether the travel route of the visitor in the campus is abnormal. The present invention can monitor the routes of visitors entering the campus, improve security; and can also automatically generate navigation routes to improve the degree of intelligence.

Description

Technical Field

[0001] The present invention relates to the technical field of campus monitoring, and in particular to a campus visitor monitoring system and method. Background Art

[0002] Nowadays, the scale of campuses is gradually expanding, and campus buildings and facilities are also developing towards diversification and large-scale. There are a large number of students, teachers, administrative and logistics staff in the campus for learning, working and living. The interaction activities between external personnel and the campus are also increasing. And how to monitor campus visitors is a technical problem that needs to be solved urgently.

[0003] For example, in some campuses, when external personnel come to the campus, they often sneak into the campus with students, lacking monitoring and management, and there are potential safety hazards. In addition, it is difficult to judge whether a visitor has made abnormal behaviors after entering the campus. There are some technical solutions in the prior art that can judge whether the room reached by a visitor after entering the campus is normal. However, the various areas inside the campus are complex, including not only rooms, but also various types of areas such as canteens, gymnasiums, playgrounds, warehouses, laboratories, gardens, etc. And it is usually very difficult to judge the travel route of a visitor in the complex campus. If the monitoring images obtained by monitoring cameras are analyzed to extract the face information and route information in the video to restore the route, complex algorithms and huge computing resources are required. Therefore, there is a lack of a method for efficiently and accurately analyzing and judging the travel route of campus visitors in the prior art.

[0004] In addition, there are often external visitors coming to the campus for visits and business. However, the campus usually covers a large area, has a large number of buildings and complex terrain. It is difficult for first-time visitors to quickly find the visiting location after entering the campus, which is time-consuming and laborious. Sometimes the visited personnel need to go to the campus gate in advance and wait for a long time for reception, wasting manpower and having low efficiency.

[0005] For example, invention patent CN108537920B discloses a visitor monitoring method and system based on face recognition, which can identify strange visitors, track the behaviors of the strange visitors in the monitoring area in real time, and judge the visitor behaviors by monitoring the relevance of the unit rooms visited by the visitors. However, this invention calculates the relevance score based on the relevance value of the rooms to judge whether the visitor behavior is normal, but it is difficult to reasonably set the specific value of the relevance value, and it is very difficult to determine the accurate relevance value according to complex actual situations. Moreover, most visitors are likely to go to the wrong areas and rooms because they are not familiar with the campus geographical environment. In this case, this invention is very likely to produce misjudgments. For another example, invention patent CN107948258B discloses a visitor identification system based on a smart campus. This invention collects the broadcast messages of the visitor's mobile device based on a Bluetooth device to obtain the visitor's location, confirms the face image based on the access control system, and compares it with the visitor's location collected by the Bluetooth device, so as to achieve double protection for campus security. However, this invention opens the access control when it judges that the location of the mobile device matches the location of the face recognition unit. Then, as long as the visitor carries a mobile device, he can open any access control of the campus, so there are relatively large security risks. Moreover, the above invention patents lack the analysis and judgment process of whether the visitor's travel route on campus is normal, and also lack the system and method for intelligent route guidance for visitors on campus. Summary of the Invention

[0006] Object of the Invention: Aiming at the above problems, the present invention proposes a campus visitor monitoring system and method.

[0007] Technical Solution:

[0008] In a first aspect, the present invention proposes a campus visitor monitoring system, including a plurality of identification devices, a plurality of monitoring devices, a central server, a route control system, a first terminal, and a second terminal;

[0009] Among them, the plurality of identification devices, the plurality of monitoring devices, the route control system, the first terminal, and the second terminal are all communicatively connected to the central server;

[0010] Preferably, the visitor logs in to the central server through the first terminal, fills in the access reservation registration form, and obtains the electronic map of the visitor navigation route from the central server;

[0011] The management staff logs in to the central server through the second terminal to review the access reservation registration of the visitor;

[0012] The plurality of identification devices and the plurality of monitoring devices are distributed in the campus, generate visitor detection data, and send it to the central server;

[0013] Among them, the process of generating the visitor detection data by the plurality of identification devices and the plurality of monitoring devices is pre-authorized by the visitor.

[0014] The route control system receives the visitor detection data sent by the central server, processes and analyzes the visitor detection data, and determines whether the travel route of the visitor on campus is abnormal.

[0015] Preferably, the campus visitor monitoring system further includes a face recognition device installed at the school gate, and the face device is communicatively connected to the central server;

[0016] The face recognition device is used to identify the face information of the visitor and upload it to the central server;

[0017] Among them, the process of the face recognition device identifying the face information of the visitor is pre-authorized by the visitor;

[0018] The central server issues the face information of the visitor to the monitoring device.

[0019] Preferably, the route control system includes a navigation module. The navigation module extracts the visit destination according to the visit reservation registration form filled in by the visitor, generates an electronic map of the visitor navigation route from the school gate to the visit destination, and uploads it to the central server;

[0020] The visitor logs in to the central server through the first terminal to obtain the electronic map of the visitor navigation route;

[0021] The electronic map of the navigation route includes a navigation route, a first marker and a second marker, as well as a first range and a second range;

[0022] The first marker is the map marker of the identification device, and the second marker is the map marker of the monitoring device;

[0023] The first range is the identification range of the identification device, and the second range is the monitoring range of the monitoring device;

[0024] And the first range is smaller than the second range.

[0025] It can be understood that generally, the campus covers a large area, has many buildings, the routes are not easy to find, and often requires personnel to lead to find the route. Based on this, the present invention can automatically generate a navigation route and send it to the first terminal carried by the visitor, such as a mobile phone, to facilitate the visitor to quickly and efficiently reach the visit destination.

[0026] Preferably, the identification device includes an identification module and a first data generation module;

[0027] The identification module is used to identify the signal of the identification card carried by the visitor near the identification device;

[0028] The first data generation module is used to generate first detection data when the identification card is recognized;

[0029] The monitoring device includes a camera, a face recognition module, and a second data generation module;

[0030] The second data generation module is used to generate second detection data when the face recognition module recognizes the face of the visiting guest.

[0031] Preferably, the first terminal is a portable mobile terminal of the visitor, preferably a mobile phone or a tablet computer.

[0032] Preferably, the recognition device can be set on the broadcast loudspeaker device that can be seen everywhere on campus; such a setting can cover the areas within the campus as much as possible and has a certain degree of concealment.

[0033] In a second aspect, the present invention also provides a campus visitor monitoring method, including:

[0034] A. The visitor fills in the access reservation registration form, including:

[0035] Before visiting the campus, the visitor logs in to the central server through the first terminal and fills in the visitor reservation registration form;

[0036] B. Generate an electronic map of the visitor navigation route, including:

[0037] The management staff verifies and approves the access reservation registration form, and the route control system extracts the destination in the access reservation registration form and generates an electronic map of the visitor navigation route from the school gate to the access destination;

[0038] C. Generate a reference marker route according to the coincidence between the navigation route and the first range of the first marker and the second range of the second marker, including:

[0039] C1. Traverse all the first markers and second markers in the electronic map, find the first markers whose first range intersects with the navigation route, and mark them as the first reference real nodes; find the second markers whose second range intersects with the navigation route, and mark them as the second reference real nodes;

[0040] Generally, if the monitoring range of the monitoring device or the recognition range of the recognition device coincides with the navigation path, it indicates that the monitoring device or the recognition device can monitor the visiting pedestrians passing through the navigation path. Therefore, both this type of monitoring device and recognition device are marked as reference real nodes, and the connection lines of the reference real nodes form the reference marker route. The reference marker route is a route formed by connecting multiple monitoring devices and recognition devices that the visiting pedestrians pass by according to the navigation route.

[0041] C2. If there is an intersection area in the first ranges of two first reference real nodes; determine whether the navigation route within the union of the first ranges of the two first reference real nodes is completely within the intersection area. If so, delete the two first reference real nodes and add the midpoint of the first line segment as the first reference virtual node; where the first line segment is a straight line segment with the two first reference real nodes as endpoints; otherwise, retain the two first reference real nodes;

[0042] C3. If there is an intersection area in the second ranges of two second reference real nodes; determine whether the navigation route within the union of the second ranges of the two second reference real nodes is completely within the intersection area. If so, delete the two second reference real nodes and add the midpoint of the second line segment as the second reference virtual node; where the second line segment is a straight line segment with the two second reference real nodes as endpoints; otherwise, retain the two second reference real nodes;

[0043] Taking two monitoring devices as an example, if there is partial overlap in the ranges between the two monitoring devices, it is possible that the navigation route has been traveling near the perpendicular bisector of the line segment between the two monitoring devices. In this case, both monitoring devices can actually detect pedestrians on the navigation route, and the two monitoring devices are equally important. However, if two reference real nodes are retained, the generated reference marker route will deviate greatly from the navigation route. Therefore, in this case, delete the two reference real nodes and take the midpoint of the two reference real nodes as the reference virtual node, so as to generate a more accurate reference marker route.

[0044] C4. If there is an intersection area in the first range of a first reference real node and the second range of a second reference real node; determine whether the first range of the first reference real node is completely covered by the second range of the second reference real node. If it is completely covered, delete the first reference real node and retain the second reference real node;

[0045] If it is not completely covered, determine whether the navigation route within the union of the first range and the second range is completely within the intersection area. If so, delete the first reference real node and the second reference real node and add the midpoint of the third line segment as the third reference virtual node; where the third line segment is a straight line segment with the first reference real node and the second reference real node as endpoints; if not, retain the first reference real node and the second reference real node;

[0046] Since the monitoring range of the monitoring device is larger than the recognition range of the recognition device, and the main function of the recognition device is to correct the route in the area that the monitoring device cannot monitor, so when the range of the monitoring device completely covers the range of the recognition device, delete the reference real node of the recognition device and only retain the reference real node of the monitoring device, so that the reference marker route can be obtained more efficiently and accurately, reducing the computational workload and improving the efficiency.

[0047] C6. Connect all reference real nodes and reference virtual nodes in sequence to generate a reference marking route;

[0048] Among them, the reference real nodes include a first reference real node and a second reference real node;

[0049] The reference virtual nodes include a first reference virtual node, a second reference virtual node, and a third reference virtual node;

[0050] D. The visitor arrives at the campus according to the appointment time, undergoes face recognition authentication, receives an identification card, and enters the campus;

[0051] E. The route control system generates an actual marking route based on the data of the monitoring device and the identification device, including:

[0052] E1. The identification device intermittently detects whether there is a signal of the visitor's identification card at a preset time interval △T. If the signal of the identification card is detected, first detection data is generated. The first detection data includes the identification device identifier and a first time stamp; the first time stamp is the moment when the signal of the identification card is detected;

[0053] E2. The synchronization trigger module in the monitoring device intermittently detects whether there is a visitor in the monitoring screen based on the face recognition function at the time interval △T. When a visitor is detected, the monitoring device generates second detection data. The first detection data includes the monitoring device identifier and a second time stamp; the second time stamp is the moment when the visitor is detected; among them, the synchronization trigger module enables the monitoring device to synchronously trigger the face recognition detection function with the identification device;

[0054] The identification device and the monitoring device synchronously trigger the detection function in time, which can ensure the regularity of the first detection data and the second detection data in the time series, so as to ensure the merging, deletion, etc. of data in the subsequent processing process;

[0055] E3. Send all the first detection data and the second detection data to the central server, and obtain a time detection sequence after processing, including: obtaining the first detection time sequence of each identification device and the second detection time sequence of each monitoring device;

[0056] Among them, the first detection time sequence of an identification device contains all the time stamps corresponding to all the first detection data generated by the identification device; the second detection time sequence of a monitoring device contains all the time stamps corresponding to all the second detection data generated by the monitoring device;

[0057] E3. Generate actual real nodes and actual virtual nodes according to the detection time sequence, including:

[0058] Set the marks of the identification devices and monitoring devices corresponding to all detection time series on the electronic map as actual real nodes;

[0059] If the detection time series M1 contains unique time elements, retain the actual real node corresponding to the detection time series M1;

[0060] If all the time elements in the detection time series M2 are included in any other detection time series M2', and the number of time elements in M2 is less than that in M2', then delete the actual real node corresponding to M2;

[0061] If all the time elements in the detection time series M3 are exactly the same as all the time elements in any other detection time series M3', add the midpoint of the connection line of the actual real nodes corresponding to M3 and M3' in the electronic map as an actual virtual node, and then delete the actual real nodes corresponding to M3 and M3';

[0062] E4. Generate an actual marked route based on the actual real nodes and actual virtual nodes, including:

[0063] Connect all the actual real nodes and actual virtual nodes in sequence to generate an actual marked route;

[0064] Such a setting can efficiently and quickly understand the movement route of visitors on campus; because in the prior art, the video of visitors is mainly monitored through monitoring devices, and then video analysis and complex algorithms are used to calculate the walking route of visitors. In fact, for most visitors, only a general route needs to be understood, and there is no need for a very high-precision route tracking. The solution of the present invention can avoid using complex algorithms to obtain the actual route of visitors and pedestrians on campus, and can quickly and efficiently generate a reference marked route based on the data of the monitoring devices and identification devices, so as to represent the actual route of visitors on campus.

[0065] F. Compare the reference marked route and the actual marked route, and analyze whether there is an abnormal visitor route, including:

[0066] If the deviation curve of the actual marked route from the reference marked route exceeds the threshold range, it is determined that the visitor route is abnormal, and a warning signal is sent to the management department for verification.

[0067] Preferably, the identification card has an access control function; this access control function only opens the access control function of the building that matches the destination in the access reservation registration form.

[0068] Preferably, when the visitor arrives at the school gate, face recognition is performed, the face recognition information is entered and uploaded to the central server, and the central server distributes the face recognition information to each monitoring device.

[0069] Preferably, the visitor uses the first terminal to log in to the central server via 4G / 5G / WIFI to obtain the navigation route map.

[0070] Preferably, the identification device detects the signal of the identification card carried by the visitor near the identification device through the identification module;

[0071] The identification device uses the first data generation module to generate first detection data when the identification card is recognized;

[0072] The monitoring device obtains a monitoring image through a camera;

[0073] The monitoring device detects the face information of the visitor in the monitoring image through the face recognition module;

[0074] The monitoring device uses the second data generation module to generate second detection data when the face recognition module recognizes the face information of the visitor.

[0075] Preferably, when the visitor makes a reservation for a visit, the management department estimates the visit duration according to the visit reservation registration form filled in by the visitor;

[0076] Preferably, the central server obtains the residence time of the visitor in each area on campus according to the detection data, compares and judges the residence time with the visit duration, and if the deviation exceeds the preset limit value, sends a warning signal to the management department.

[0077] The present invention has the following beneficial effects compared with the prior art:

[0078] 1. The present invention can monitor the travel route of the visitor after entering the campus and avoid potential safety hazards. If someone enters the campus on the pretext of a visit and engages in abnormal activities or goes to places where access is not permitted, the present invention can quickly and efficiently detect the abnormal route situation and improve the safety of the campus.

[0079] 2. The present invention uses the monitoring device and the identification device, which cooperate with each other, synchronously detect, and jointly identify the behavior route of the visitor on campus; moreover, based on the cross-overlap of the navigation route and the detection ranges of the monitoring device and the identification device, a theoretical marked route is generated quickly and efficiently; based on the detection data of the monitoring device and the identification device detected on campus, after data analysis and screening, an actual marked route is automatically generated. By comparing the theoretical marked route and the actual marked route, it is judged whether the visitor's route is normal. The present invention avoids the complex recognition algorithms used in video image analysis and can quickly and efficiently judge whether there is an abnormal situation in the visitor's route on campus.

[0080] 3. The present invention does not rely on manual reception and guidance. According to the access reservation registration form filled in by the visitor, after the access is approved, it can automatically extract the access destination and automatically generate an electronic map of the in-school navigation route. The visitor can obtain the navigation route electronic map through a terminal such as a mobile phone, which facilitates the visitor to quickly and efficiently reach the access destination, making it more user-friendly and intelligent, and improving the portability of accessing the campus.

[0081] 4. When the visitor arrives at the school gate, the present invention issues an identification card to the visitor. The identification card not only has the function of signal communication with the identification device in the school, but also has the access control function of the access control device in the school. Moreover, the access control function only opens the access control function of the building that matches the destination in the access reservation registration form. This can prevent visitors from entering unauthorized areas and greatly improve security. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 It is a schematic structural diagram of a campus visitor monitoring system.

[0083] Figure 2 It is a flowchart of a campus visitor monitoring method.

[0084] Figure 3 It is a schematic diagram of a reference mark route.

[0085] Among them, 1. Identification device, 2. Monitoring device, 3. Central server, 4. Route control system, 5. First terminal, 6. Second terminal. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0086] The technical solutions of the present invention will be further described below with reference to the drawings and embodiments.

[0087] Embodiment 1:

[0088] As Figure 1 shown, the present invention provides a campus visitor monitoring system, including a plurality of identification devices, a plurality of monitoring devices, a central server, a route control system, a first terminal, and a second terminal;

[0089] Among them, the plurality of identification devices, the plurality of monitoring devices, the route control system, the first terminal, and the second terminal are all communicatively connected to the central server;

[0090] Preferably, the visitor logs in to the central server through the first terminal, fills in the access reservation registration form, and obtains the electronic map of the visitor navigation route from the central server;

[0091] The administrator logs in to the central server through the second terminal to review the access reservation registration of the visitor;

[0092] A number of identification devices and a number of monitoring devices are distributed on campus to generate visitor detection data and send it to the central server;

[0093] Among them, the process of generating visitor detection data by a number of identification devices and a number of monitoring devices has been pre-authorized by the visitors;

[0094] The route control system receives the visitor detection data sent by the central server, processes and analyzes the visitor detection data, and determines whether the visitor's travel route on campus is abnormal.

[0095] Preferably, the campus visitor monitoring system further includes a face recognition device installed at the school gate, and the face device is communicatively connected to the central server;

[0096] The face recognition device is used to recognize the visitor's face information and upload it to the central server;

[0097] Among them, the process of the face recognition device recognizing the visitor's face information has been pre-authorized by the visitors;

[0098] The central server issues the visitor's face information to the monitoring device.

[0099] Preferably, the route control system includes a navigation module. The navigation module extracts the visit destination according to the visit reservation registration form filled in by the visitor, generates an electronic map of the visitor's navigation route from the school gate to the visit destination, and uploads it to the central server;

[0100] The visitor logs in to the central server through the first terminal to obtain the electronic map of the visitor's navigation route;

[0101] The electronic map of the navigation route includes a navigation route, a first marker and a second marker, as well as a first range and a second range;

[0102] The first marker is the map marker of the identification device, and the second marker is the map marker of the monitoring device;

[0103] The first range is the identification range of the identification device, and the second range is the monitoring range of the monitoring device;

[0104] And the first range is smaller than the second range.

[0105] It can be understood that generally, the campus covers a large area, has many buildings, the routes are not easy to find, and it often requires someone to lead to find the route. Based on this, the present invention can automatically generate a navigation route and send it to the first terminal carried by the visitor, such as a mobile phone, to facilitate the visitor to quickly and efficiently reach the visit destination.

[0106] Preferably, the identification device includes an identification module and a first data generation module;

[0107] The recognition module is used to recognize the signal of the identification card carried by the visitor near the identification device;

[0108] The first data generation module is used to generate first detection data when the identification card is recognized;

[0109] The monitoring device includes a camera, a face recognition module and a second data generation module;

[0110] The second data generation module is used to generate second detection data when the face recognition module recognizes the face of the visitor.

[0111] Preferably, the first terminal is a portable mobile terminal of the visitor, preferably a mobile phone or a tablet computer.

[0112] Preferably, the identification device can be set on the broadcast loudspeaker device that can be seen everywhere on campus; such a setting can cover the area within the campus as much as possible and has a certain degree of concealment.

[0113] Embodiment 2:

[0114] As Figure 2 shown, the present invention also provides a campus visitor monitoring method, including:

[0115] A. The visitor fills in the access reservation registration form, including:

[0116] Before visiting the campus, the visitor logs in to the central server through the first terminal and fills in the visitor reservation registration form;

[0117] B. Generate an electronic map of the visitor navigation route, including:

[0118] The management staff verifies and approves the access reservation registration form, and the route control system extracts the destination in the access reservation registration form and generates an electronic map of the visitor navigation route from the school gate to the access destination;

[0119] C. Generate a reference marker route according to the coincidence situation between the navigation route and the first range of the first marker and the second range of the second marker, including:

[0120] C1. Traverse all the first markers and second markers in the electronic map, find the first markers whose first range intersects with the navigation route, and mark them as the first reference real nodes; find the second markers whose second range intersects with the navigation route, and mark them as the second reference real nodes;

[0121] Under normal circumstances, if the monitoring range of the monitoring device or the recognition range of the recognition device overlaps with the navigation path, it indicates that the monitoring device or the recognition device can detect the visitors and pedestrians passing through the navigation path. Therefore, this type of monitoring device and recognition device are both marked as reference real nodes, and the connecting lines of the reference real nodes form the reference marking route. The reference marking route is a route formed by connecting multiple monitoring devices and recognition devices that visitors and pedestrians pass by along the navigation route;

[0122] Preferably, as Figure 3 shown, the solid circle is the mark of the recognition device, that is, the first mark, the triangle is the mark of the monitoring device, that is, the second mark, the dotted circle outside the first mark is the first range, the dotted circle outside the second mark is the second range, and the left side of the arrow is the intersection and overlap of the navigation route with the first range and the second range; the right side of the arrow shows three reference real nodes obtained according to the intersection and overlap situation; as Figure 3 shown in (a) of , the ranges of two monitoring devices and the range of one recognition device all intersect with the navigation route, while the range of the other recognition device does not intersect with the navigation route. Therefore, three reference real nodes are generated. Connecting these three reference real nodes can obtain the reference marking route on the right side of the arrow.

[0123] C2. If there is an intersection area in the first ranges of two first reference real nodes; judge whether the navigation route within the union of the first ranges of the two first reference real nodes is completely within the intersection area. If so, delete the two first reference real nodes and add the midpoint of the first line segment as the first reference virtual node; where the first line segment is a straight line segment with these two first reference real nodes as endpoints; otherwise, retain the two first reference real nodes;

[0124] C3. If there is an intersection area in the second ranges of two second reference real nodes; judge whether the navigation route within the union of the second ranges of the two second reference real nodes is completely within the intersection area. If so, delete the two second reference real nodes and add the midpoint of the second line segment as the second reference virtual node; where the second line segment is a straight line segment with these two second reference real nodes as endpoints; otherwise, retain the two second reference real nodes;

[0125] Taking two monitoring devices as an example, if there is partial overlap in the ranges between the two monitoring devices, it may occur that the navigation route has been traveling near the perpendicular bisector of the line segment between the two monitoring devices. In this case, both monitoring devices can actually detect the pedestrians on the navigation route, and the two monitoring devices are equally important. However, if two reference real nodes are retained, the generated reference marking route will deviate significantly from the navigation route; therefore, in this case, delete the two reference real nodes and take the midpoint of the two reference real nodes as the reference virtual node, so as to generate a more accurate reference marking route.

[0126] Preferably, as shown in (b) of Figure 3 , the ranges of both monitoring devices and one identification device intersect with the navigation route, and there is an intersection between the ranges of the two monitoring devices. However, the navigation route exists not only in the intersection area but also in the union area. Therefore, set the marks of both monitoring devices as solid nodes, connect the three reference solid nodes, and the reference marked route on the right side of the arrow can be obtained.

[0127] Another example is Figure 3 as shown in (c) of

[0128] C4. If there is an intersection area between the first range of a first reference solid node and the second range of a second reference solid node; determine whether the first range of the first reference solid node is completely covered by the second range of the second reference solid node. If it is completely covered, delete the first reference solid node and retain the second reference solid node;

[0129] If it is not completely covered, determine whether the navigation route within the union of the first range and the second range is completely within the intersection area. If so, delete the first reference solid node and the second reference solid node, and add the midpoint of the third line segment as the third reference virtual node; where the third line segment is a straight line segment with the first reference solid node and the second reference solid node as endpoints. If not, retain the first reference solid node and the second reference solid node;

[0130] Since the monitoring range of the monitoring device is larger than the identification range of the identification device, and the main function of the identification device is to correct the route in the area not monitored by the monitoring device, when the range of the monitoring device completely covers the range of the identification device, delete the reference solid node of the identification device, and only retain the reference solid node of the monitoring device. In this way, the reference marked route can be obtained more efficiently and accurately, reducing the computational amount and improving the efficiency.

[0131] Preferably, as shown in (d) of Figure 3 , the ranges of one monitoring device and three identification devices intersect with the navigation route. However, there is an intersection between the range of one monitoring device and the range of one identification device, and the range of the monitoring device completely covers the range of the identification device. In this case, delete the solid node of the covered identification device, retain the solid node of the monitoring device, and connect each solid node to obtain the reference marked route on the right side of the arrow.

[0132] C6. Connect all reference real nodes and reference virtual nodes in sequence to generate a reference marker route;

[0133] Among them, the reference real nodes include the first reference real node and the second reference real node;

[0134] The reference virtual nodes include the first reference virtual node, the second reference virtual node, and the third reference virtual node;

[0135] D. The visitor arrives at the campus according to the appointed time, conducts face recognition authentication, receives an identification card, and enters the campus;

[0136] E. The route control system generates an actual marker route based on the data of the monitoring device and the identification device, including:

[0137] E1. The identification device intermittently detects whether there is a signal of the visitor's identification card at a preset time interval △T. If the signal of the identification card is detected, the first detection data is generated. The first detection data includes the identification device identifier and the first timestamp; the first timestamp is the moment when the signal of the identification card is detected;

[0138] E2. The synchronous trigger module in the monitoring device intermittently detects whether there is a visitor in the monitoring screen based on the face recognition function at the time interval △T. When a visitor is detected, the monitoring device generates the second detection data. The first detection data includes the monitoring device identifier and the second timestamp; the second timestamp is the moment when the visitor is detected; among them, the synchronous trigger module enables the monitoring device to trigger the face recognition detection function synchronously with the identification device;

[0139] The identification device and the monitoring device trigger the detection function synchronously in time, which can ensure the regularity of the first detection data and the second detection data in the time series, so as to ensure the subsequent processing process, such as data merging, deletion, etc.;

[0140] E3. Send all the first detection data and the second detection data to the central server, and obtain the time detection sequence after processing, including: obtaining the first detection time sequence of each identification device and the second detection time sequence of each monitoring device;

[0141] Among them, the first detection time sequence of an identification device contains all the timestamps corresponding to all the first detection data generated by the identification device; the second detection time sequence of a monitoring device contains all the timestamps corresponding to all the second detection data generated by the monitoring device;

[0142] E3. Generate actual real nodes and actual virtual nodes according to the detection time sequence, including:

[0143] Set the marks of the recognition devices and monitoring devices corresponding to all detection time series on the electronic map as actual real nodes;

[0144] If the detection time series M1 contains unique time elements, then retain the actual real node corresponding to the detection time series M1;

[0145] If all the time elements in the detection time series M2 are included in any other detection time series M2', and the number of time elements in M2 is less than that in M2', then delete the actual real node corresponding to M2; if M2' contains unique time elements, then retain the actual real node corresponding to M2';

[0146] If all the time elements in the detection time series M3 are exactly the same as those in any other detection time series M3', then add the midpoint of the connection line of the actual real nodes corresponding to M3 and M3' in the electronic map as an actual virtual node, and then delete the actual real nodes corresponding to M3 and M3';

[0147] For example, the detection time series M1 = {t1, t2, t3, t4, t5};

[0148] M2 = {t3, t4, t5, t6};

[0149] M2' = {t3, t4, t5, t6, t7};

[0150] M3 = {t7, t8, t9};

[0151] M3' = {t7, t8, t9};

[0152] Since M1 contains the unique element t1, the real node corresponding to M1 is retained;

[0153] Since all the elements t3, t4, t5, t6 in M2 exist in M2', and M2' also contains t7 which does not exist in M2, the real node corresponding to M2 is deleted;

[0154] Furthermore, if t7 is a unique element of M2', the real node corresponding to M2' is retained;

[0155] Since the elements in M3 are exactly the same as those in M3', both being t7, t8, t9, the actual real nodes corresponding to M3 and M3' are deleted, and the midpoint of the connection line of the actual real nodes corresponding to M3 and M3' in the electronic map is added as an actual virtual node.

[0156] E4. Generate an actual marking route based on the actual real nodes and actual virtual nodes, including:

[0157] Connect all the actual real nodes and actual virtual nodes in sequence to generate an actual marking route;

[0158] Such a setting can efficiently and quickly understand the walking route of visitors on campus. Because in the prior art, the video of visitors is mainly obtained through monitoring devices, and then video analysis and complex algorithms are used to calculate the walking route of visitors. In fact, for most visitors, only a general route needs to be understood, and very high-precision route tracking is not required. The solution of the present invention can avoid using complex algorithms to obtain the actual route of visitors on campus, and can quickly and efficiently generate a reference marker route based on the data of the monitoring device and the recognition device, so as to represent the actual route of visitors on campus.

[0159] F. Compare the reference marker route and the actual marker route, and analyze whether there is an abnormal visitor route, including:

[0160] If the deviation curve between the actual marker route and the reference marker route exceeds the threshold range, it is determined that the visitor route is abnormal, and a warning signal is sent to the management department for verification.

[0161] Preferably, the identification card has an access control function; this access control function only opens the access control function of the building that matches the destination in the access reservation registration form.

[0162] Preferably, when the visitor arrives at the campus entrance, face recognition is performed, the face recognition information is input, and uploaded to the central server, and the central server distributes the face recognition information to each monitoring device.

[0163] Preferably, the visitor uses the first terminal to log in to the central server through 4G / 5G / WIFI to obtain the navigation route map.

[0164] Preferably, the identification device detects the signal of the identification card carried by the visitor near the identification device through the identification module;

[0165] The identification device is used by the first data generation module to generate first detection data when the identification card is recognized.

[0166] The monitoring device obtains a monitoring picture through a camera;

[0167] The monitoring device detects the face information of the visitor in the monitoring picture through the face recognition module;

[0168] The monitoring device generates second detection data through the second data generation module when the face recognition module recognizes the face information of the visitor.

[0169] Preferably, when the visitor makes a reservation for a visit, the management department estimates the visit duration according to the access reservation registration form filled in by the visitor;

[0170] Preferably, the central server obtains the residence time of the visitor in each area on campus based on the detection data, compares and judges the residence time and the access time consumption. If the deviation exceeds the preset limit value, a warning signal is sent to the management department.

[0171] In particular, the present invention is not limited to the embodiments and descriptions contained herein, and the claims should be understood to include those modified forms of the embodiments, which include parts of the embodiments and combinations of elements of different embodiments within the scope of the appended claims. All disclosures described herein (including patent and non-patent disclosures) are hereby incorporated herein by reference in their entirety.

Claims

1. A campus visitor monitoring method, characterized in that, The method includes: B. Generating an electronic map of the visitor navigation route; including the route control system extracting the destination in the access reservation registration form and generating an electronic map of the visitor navigation route from the school gate to the access destination; C. Generating a reference marker route according to the intersection and overlap situation between the navigation route and the first range of the first marker and the second range of the second marker; wherein the first marker is the map marker of the identification device, and the second marker is the map marker of the monitoring device; the first range is the identification range of the identification device, and the second range is the monitoring range of the monitoring device; wherein, the first range is smaller than the second range, including: C1. Traversing all the first markers and second markers in the electronic map, finding the first markers whose first ranges intersect with the navigation route, and marking them as the first reference real nodes; finding the second markers whose second ranges intersect with the navigation route, and marking them as the second reference real nodes; C21. If there is an intersection area in the first ranges of two first reference real nodes; judging whether the navigation route within the union of the first ranges of the two first reference real nodes is completely within the intersection area, if so, deleting the two first reference real nodes and adding the midpoint of the first line segment as the first reference virtual node; wherein, the first line segment is a straight line segment with the two first reference real nodes as endpoints; otherwise, keeping the two first reference real nodes; C3. Connecting all the reference real nodes and reference virtual nodes in sequence to generate a reference marker route; D. The visitor arrives at the campus according to the reserved time, undergoes face recognition authentication, receives an identification card, and enters the campus; E. The route control system generates an actual marker route according to the monitoring device data and the identification device data, including: E1. The identification device intermittently detects whether there is a signal of the visitor's identification card at a preset time interval △T. If the signal of the identification card is detected, the first detection data is generated, and the first detection data includes the identification device identifier and the first timestamp; the first timestamp is the moment when the signal of the identification card is detected; E2. The synchronization trigger module in the monitoring device intermittently detects whether there is a visitor in the monitoring screen based on the face recognition function at the time interval △T. When a visitor is detected, the monitoring device generates the second detection data, and the first detection data includes the monitoring device identifier and the second timestamp; the second timestamp is the moment when the visitor is detected; wherein, the synchronization trigger module enables the monitoring device to synchronously trigger the face recognition detection function with the identification device; E3. Sending all the first detection data and the second detection data to the central server, and obtaining a time detection sequence after processing, including: obtaining the first detection time sequence of each identification device and the second detection time sequence of each monitoring device; wherein, the first detection time sequence of an identification device contains all the timestamps corresponding to all the first detection data generated by the identification device; the second detection time sequence of a monitoring device contains all the timestamps corresponding to all the second detection data generated by the monitoring device; E4. Generate actual real nodes and actual virtual nodes according to the detection time series, including: setting the markers of all identification devices and monitoring devices corresponding to the detection time series on the electronic map as actual real nodes; if the detection time series M1 contains unique time elements, then retain the actual real nodes corresponding to the detection time series M1; if all time elements in the detection time series M2 are included in any other detection time series M2' and the number of time elements in M2 is less than that in M2', then delete the actual real nodes corresponding to M2; if all time elements in the detection time series M3 are exactly the same as those in any other detection time series M3', then add the midpoint of the connection line of the actual real nodes corresponding to M3 and M3' in the electronic map as an actual virtual node, and then delete the actual real nodes corresponding to M3 and M3'. E5. Generate an actual marked route according to the actual real nodes and actual virtual nodes, including: connecting all actual real nodes and actual virtual nodes in sequence to generate an actual marked route. F. Compare the reference marked route and the actual marked route to analyze whether there is an abnormal visitor route.

2. The campus visitor monitoring method according to claim 1, wherein The step C further includes: C22. If there is an intersection area between the second ranges of two second reference real nodes; judge whether the navigation route within the union of the second ranges of the two second reference real nodes is completely within the intersection area. If so, then delete the two second reference real nodes and add the midpoint of the second line segment as the second reference virtual node; where the second line segment is a straight line segment with the two second reference real nodes as endpoints; otherwise, retain the two second reference real nodes. C23. If there is an intersection area between the first range of a first reference real node and the second range of a second reference real node; judge whether the first range of the first reference real node is completely covered by the second range of the second reference real node. If it is completely covered, then delete the first reference real node and retain the second reference real node; if it is not completely covered, judge whether the navigation route within the union of the first range and the second range is completely within the intersection area. If so, then delete the first reference real node and the second reference real node and add the midpoint of the third line segment as the third reference virtual node; the third line segment is a straight line segment with the first reference real node and the second reference real node as endpoints; if not, retain the first reference real node and the second reference real node. C3. Connect all reference real nodes and reference virtual nodes in sequence to generate a reference marked route; where the reference real nodes include the first reference real node and the second reference real node; the reference virtual nodes include the first reference virtual node, the second reference virtual node, and the third reference virtual node.

3. The campus visitor monitoring method according to claim 2, wherein The step F includes: If the deviation curve between the actual marked route and the reference marked route exceeds the threshold range, then judge that the visitor route is abnormal and send a warning signal to the management department for verification.

4. A campus visitor monitoring system for implementing the campus visitor monitoring method according to claim 3, characterized in that, The system includes several identification devices, several monitoring devices, a central server, a route control system, a first terminal, and a second terminal; among them, several identification devices, several monitoring devices, the route control system, the first terminal, and the second terminal are all communicatively connected to the central server; characterized in that, the visitor logs in to the central server through the first terminal, fills in the access reservation registration form, and obtains the electronic map of the visitor navigation route from the central server; The management personnel log in to the central server through the second terminal to review the access reservation registration form of the visitor; Several identification devices and several monitoring devices are distributed in the campus, generate visitor detection data, and send it to the central server; The route control system receives the visitor detection data sent by the central server, processes and analyzes the visitor detection data, and judges whether the travel route of the visitor in the campus is abnormal.

5. The campus visitor monitoring system according to claim 4, wherein, The campus visitor monitoring system further includes a face recognition device installed at the school gate, and the face recognition device is communicatively connected to the central server; The face recognition device is used to identify the face information of the visitor and upload it to the central server; The central server issues the visitor face information to the monitoring device.

6. The campus visitor monitoring system according to claim 5, characterized in that, The route control system includes a navigation module. The navigation module extracts the access destination according to the access reservation registration form filled in by the visitor, generates the electronic map of the visitor navigation route from the school gate to the access destination, and uploads it to the central control server; The visitor logs in to the central server through the first terminal to obtain the electronic map of the visitor navigation route; The electronic map of the navigation route includes a navigation route, a first marker and a second marker, as well as a first range and a second range; The first marker is the map marker of the identification device, and the second marker is the map marker of the monitoring device; The first range is the identification range of the identification device, and the second range is the monitoring range of the monitoring device; Among them, the first range is smaller than the second range.

7. The campus visitor monitoring system according to claim 6, characterized in that, The identification device includes an identification module and a first data generation module; The identification module is used to identify the signal of the identification card carried by the visitor near the identification device; The first data generation module is used to generate the first detection data when the identification card is recognized; The monitoring device includes a camera, a face recognition module and a second data generation module; The second data generation module is used to generate the second detection data when the face recognition module recognizes the face of the visitor.

8. The campus visitor monitoring system according to claim 7, characterized in that, The first terminal is the portable mobile terminal of the visitor.

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