CN210743051U - Security management system - Google Patents
Security management system Download PDFInfo
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- CN210743051U CN210743051U CN201921820241.5U CN201921820241U CN210743051U CN 210743051 U CN210743051 U CN 210743051U CN 201921820241 U CN201921820241 U CN 201921820241U CN 210743051 U CN210743051 U CN 210743051U
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Abstract
The utility model discloses a safety management system. The security management system includes: the system comprises monitoring equipment, an OpenGL server and a logic server, wherein the monitoring equipment is configured to be used for shooting an area to be monitored; the OpenGL server is configured to acquire face information in the shooting information of the monitoring equipment and compare the acquired face information with a pre-stored face information base; the logic server is in communication connection with the OpenGL server; the logic server is configured to judge the safety state of the area to be monitored according to the face comparison result of the OpenGL server. The utility model provides an in, the OpenGL server can acquire the face information among the supervisory equipment shooting information to carry out the face respectively with face information and the face information storehouse of prestoring and compare. And the logic server can judge the safety state of the area to be monitored according to the face comparison result of the OpenGL server.
Description
Technical Field
The utility model relates to a safety management system especially is applied to the safety management system among the access control system.
Background
An access control system is a system for controlling access passages. The existing access control system generally only uses the technologies of card swiping, password verification, fingerprint identification or special face identification and the like to automatically control the access. The existing fingerprint identification access control system has single function and cannot meet the increasing business requirements of the security industry. The existing special face recognition access control system has a small monitoring range, cannot expand the monitoring range of the access control to monitor various abnormal states, and has more security holes.
With the continuous development of the security industry, the access control system is required to expand the access control monitoring range, and solve the problems of some short boards of the existing access control system, such as identifying the conditions of trailing entry, unauthorized entry and the like, so as to improve the security quality and efficiency. Therefore, there is a need for improvements to existing access control systems.
SUMMERY OF THE UTILITY MODEL
One of the purposes of the utility model is to overcome the not enough among the prior art, provide a safety control system who promotes the security level.
In order to achieve the above purpose, the utility model discloses a following technical scheme realizes:
a security management system, comprising:
a monitoring device configured to photograph an area to be monitored;
the OpenGL server is configured to acquire face information in the shooting information of the monitoring equipment and compare the acquired face information with a pre-stored face information base;
the logic server is in communication connection with the OpenGL server; the logic server is configured to judge the safety state of the area to be monitored according to the face comparison result of the OpenGL server.
According to the utility model discloses an embodiment, the OpenGL server is configured and is acquireed respectively a plurality of people's face information in the supervisory equipment shooting information to carry out the people's face respectively with a plurality of people's face information of this acquireing and the people's face information base that prestores and compare.
According to an embodiment of the present invention, the monitoring device includes a camera for capturing a video of an area to be monitored;
the OpenGL server is configured to capture a video shot by the camera, find out a target picture with a face in the captured picture, and acquire face information in the target picture.
According to an embodiment of the present invention, the number of the target pictures is plural;
the OpenGL server is configured to: and storing a plurality of target pictures into preset positions, and respectively acquiring and storing the face information in each target picture.
According to an embodiment of the present invention, the OpenGL server is preset with a similarity standard value;
the OpenGL server is configured to: when the acquired face information is compared with a pre-stored face information base, the highest similarity score of the face information is obtained, the highest similarity score is compared with a similarity standard value, and whether the pre-stored face information base contains the face information is judged.
According to an embodiment of the present invention, the OpenGL server includes an image acquisition module, an image processing module, and a face recognition module;
the image acquisition module is in communication connection with the monitoring equipment and acquires information shot by the monitoring equipment;
the image processing module is configured to acquire and save a plurality of pieces of face information in the information acquired by the image acquisition module;
the face recognition module is configured to compare the face information acquired by the image processing module with a pre-stored face information base.
According to one embodiment of the utility model, the system further comprises an entrance guard front-end device;
the front-end entrance guard equipment is provided with a front-end door for opening or closing an entrance/exit channel;
the security management system is configured to control opening or closing of the front-end door according to a comparison result of the OpenGL server and/or a determination result of the logic server.
According to an embodiment of the present invention, the front-end entrance guard device comprises a signal transmitter configured to transmit a trigger signal when triggered;
the OpenGL server is configured to acquire the face information in the shooting information of the monitoring equipment when receiving the trigger signal sent by the signal transmitter.
According to an embodiment of the invention, the signal transmitter is a card reader.
According to one embodiment of the utility model, the logic server is preset with various safety states of entering and alarming by outside personnel, inconsistent witnesses and alarming, limiting the intrusion of areas and alarming, and the loitering and alarming of suspects;
the logic server is configured to judge the current safety state of the area to be monitored according to the face comparison result of the OpenGL server.
According to one embodiment of the present invention, a system comprises a client terminal;
the client terminal is configured to display the comparison result of the OpenGL server; and/or the presence of a gas in the gas,
the client terminal is configured to display the determination result of the logic server.
A security management method, comprising:
providing the security management system; the monitoring equipment shoots an area to be monitored;
the OpenGL server acquires face information in the shooting information of the monitoring equipment, and compares the acquired face information with a pre-stored face information base;
and the logic server judges the safety state of the area to be monitored according to the face comparison result of the OpenGL server.
According to the utility model discloses an embodiment, OpenGL acquires a plurality of face information in the supervisory equipment shooting information respectively to carry out the face respectively with the face information base that prestores with a plurality of face information that acquire and compare.
According to an embodiment of the utility model, the monitoring device shoots the area to be monitored to obtain a video;
and the OpenGL server captures a video shot by the camera, finds out a target picture with a face in the captured picture, and acquires face information in the target picture.
According to an embodiment of the present invention, the OpenGL server performs multiple screenshots on the video shot by the camera;
finding out a plurality of target pictures with human faces in the screenshot;
storing the target pictures into preset positions;
and respectively acquiring and storing the face information in each target picture for comparison with a pre-stored face information base.
According to an embodiment of the present invention, the OpenGL server is preset with a similarity standard value;
the OpenGL server compares the acquired face information with a pre-stored face information base to obtain the highest similarity score of the face information, and compares the highest similarity score with a similarity standard value;
if the highest similarity score is higher than the similarity standard value, the legal entry is judged,
and if the highest similarity score is lower than the similarity standard value, judging illegal entry.
According to one embodiment of the present invention, the security management method further comprises an entrance guard front-end device, the entrance guard front-end device being provided with a front-end door for opening or closing an entrance/exit passageway;
and the safety management method controls to open or close the front-end door according to the comparison result of the OpenGL server and/or the judgment result of the logic server.
According to one embodiment of the present invention, the front-end entrance guard device comprises a signal transmitter;
when the signal transmitter is triggered, transmitting a trigger signal to the OpenGL server;
and the OpenGL server acquires the face information in the shooting information of the monitoring equipment when receiving the trigger signal sent by the signal transmitter.
According to the utility model discloses an embodiment, logic server has set up in advance: various safety states in which outside personnel enter and alarm at the end, testimony of a witness is inconsistent and alarm, area intrusion is limited and alarm, and a suspect loiters and alarms;
and when the logic server receives the face comparison result of the OpenGL server, judging the current safety state of the area to be monitored.
According to one embodiment of the present invention, the front-end entrance guard device comprises a client terminal;
the client terminal accepts and displays the comparison result of the OpenGL server,
and the client terminal receives and displays the judgment result of the logic server.
The utility model provides an among the safety management system, the OpenGL server can acquire the face information among the supervisory equipment shooting information to carry out the face ratio respectively with face information and the face information base of prestoring. And the logic server can judge the safety state of the area to be monitored according to the face comparison result of the OpenGL server. The OpenGL can respectively acquire a plurality of face information in the shooting information of the monitoring equipment, and respectively carry out face comparison on the acquired face information and a prestored face information base, so that the face identification efficiency of the access control is improved, and the monitoring range is expanded.
The monitoring settings may be set to capture video. The OpenGL server can identify, optimize and compare the faces of the video screenshots, so that the face identification efficiency of the entrance guard is improved, and the monitoring range is enlarged.
The logical server may preset a variety of security states. This safety management system probably can promote the scope of entrance guard's control, solves some short slabs of entrance guard's control, if: and the following access, unauthorized access and the like greatly improve the quality and efficiency of security and accelerate the intelligent process of entrance guard monitoring.
Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments of the invention, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic view of a security management system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a security management method according to a second embodiment of the present invention.
10: monitoring equipment; 20: a signal transmitter; 30: an OpenGL server; 40: a logical server; 50: a client terminal; 60: a front end door.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings:
the first embodiment is as follows:
please refer to fig. 1, which is a safety management system according to a preferred embodiment of the present invention. The safety management system can be applied to an access control system. The security management system comprises entrance guard front-end equipment, monitoring equipment 10, an OpenGL server 30 and a logic server 40. The monitoring device 10 is in communication connection with the OpenGL server 30. The logic server 40 is in communication connection with the OpenGL server 30.
The front-end entrance guard device includes a front-end door 50 and a signal transmitter 20. The front end door 50 is used to open or close the doorway. When the front door 50 is opened, the doorway opening is opened for the entrance and exit of a person. When the front end door 50 is closed, the passageway is blocked to prohibit people from entering or exiting.
The monitoring device 10 is used to photograph an area to be monitored. For example, the monitoring device 10 may photograph an area near the front end door 50. The safety management system is used for monitoring the safety of the area to be monitored. In this embodiment, the monitoring device 10 is a camera mounted on the front door 50. The camera is used for shooting an area to be monitored so as to obtain a monitoring video. The camera is a high-definition camera which is always in an operating state for shooting an area to be monitored. Of course, in other embodiments, the monitoring device 10 may take multiple pictures.
The signal transmitter 20 can be triggered to change state, transmitting a trigger signal. The signal transmitter 20 is communicatively connected to the OpenGL server 30. The signal transmitter 20, when triggered, can transmit trigger information to the OpenGL server 30. In this embodiment, the signal transmitter 20 is a card reader. When a person enters or exits the entrance/exit passage through the front end door 50, the card reader is triggered by swiping a card or the like, so that the card reader changes the state. When the card reader is triggered, a trigger signal is sent to the OpenGL server 30.
The OpenGL server 30 is a server based on the OpenGL technology (Open Graphics Library). The OpenGL technology refers to a professional graphical program interface defining a cross-programming language and cross-platform programming interface specification. The method is used for three-dimensional images (two-dimensional images can also be used), and is a bottom layer graphic library which is powerful and convenient to call. In this embodiment, the OpenGL server 30 is configured to obtain face information in the shooting information of the monitoring device 10, and compare the obtained face information with a pre-stored face information base. Correspondingly, the OpenGL server 30 includes an image acquisition module, an image processing module, and a face recognition module. The image acquisition module is in communication connection with the monitoring equipment 10 and is used for acquiring information shot by the monitoring equipment. The image processing module is used for acquiring and storing a plurality of face information in the information acquired by the image acquisition module. The face recognition module is used for comparing the face information acquired by the image processing module with a pre-stored face information base.
The face information base is preset in the safety management system. The face information base records a plurality of pre-stored face information. The face information base can be updated in real time so as to store or delete face information. The safety system can be used for recording face information before or in the using process. For example, the OpenGL server 30 or the like may prestore the face information base. In this embodiment, the OpenGL server 30 may use C # to program and develop OpenGL. When receiving the trigger information of the signal transmitter 20, the OpenGL server 30 captures a video shot by the camera, finds out a target picture with a human face in the captured video, and obtains human face information in the target picture.
The number of the screenshots is multiple. The target picture may have multiple faces therein. The OpenGL server 30 adopts C # to program and develop OpenGL, can read the screenshot of the camera, and improves the face recognition efficiency of the entrance guard and expands the monitoring range of the entrance guard by recognizing, optimizing and comparing the face of the screenshot. In this embodiment, the OpenGL server 30 stores a plurality of target pictures in preset positions, then obtains face information in each target picture, and stores the obtained face information in the preset positions. For example, the OpenGL server 30 may include hardware such as a processor, a memory, and the like, and an OpenGL program written therein.
The OpenGL server 30 may use C # to program and develop OpenGL, may read a plurality of face information in the shooting information of the camera, and perform face comparison between the plurality of face information and a pre-stored face information library.
In order to compare the face information with a pre-stored face information base, the OpenGL server 30 is preset with a similarity standard value. In the process of comparing the acquired face information with the pre-stored face information base, the OpenGL server 30 first obtains the highest similarity score of the face information, and then compares the highest similarity score with the similarity standard value, so as to obtain a determination result to determine whether the pre-stored face information base contains the face information.
The logic server 40 is in communication connection with the OpenGL server 30. The logic server 40 is configured to determine a security state of the area to be monitored according to the face comparison result of the OpenGL server 30. Specifically, the logic server 40 may be preset with: and the system can be used for monitoring the entrance of external personnel and alarming, the condition that the personnel are inconsistent and alarming, the condition that the area is limited from entering and alarming, and the condition that a suspected person is in a loitering state and alarming. The logic server 40 may be configured to perform a bayonet counting according to the face comparison result of the OpenGL server 30, so as to implement regional statistics. When receiving the face comparison result of the OpenGL server 30, the logic server 40 determines what security state the area to be monitored is currently in. The staff can perform corresponding execution measures according to the judgment result of the logic server 40. For example, the logic server 40 may include hardware such as a processor, memory, and software such as a written program.
The security management system may also include a client terminal 50. The client terminal 50 may be configured to display the comparison result of the OpenGL server 30. And/or the client terminal 50 may be configured to display the determination result of the logic server 40. According to the content displayed by the client terminal 50, the staff member performs corresponding execution measures. Of course, the client terminal 50 may also be used for querying historical information such as historical warning records or historical monitoring videos.
According to the comparison result of the OpenGL server 30 and/or the judgment result of the logic server 40, the security management system may automatically open or close the front-end door 50. In this embodiment, the security management system may include a control module, and the control module controls to open or close the front-end door 50 according to the comparison result of the OpenGL server 30 and/or the determination result of the logic server 40. The controller may also be in communication with the OpenGL server 30 and the logic server 40 to control the OpenGL server 30 and the logic server 40 to work.
Example two
Please refer to fig. 2, which illustrates a security management method according to a preferred embodiment of the present invention. The safety management method can be applied to an access control system. The security management method comprises the following steps:
the security management system is provided. The monitoring device 10 photographs an area to be monitored. In this embodiment, the camera is a high-definition camera and is always in an operating state for shooting an area to be monitored.
The signal transmitter 20, when triggered, transmits trigger information to the OpenGL server 30. In this embodiment, the signal transmitter 20 is a card reader. When a person enters or exits the entrance/exit passageway through the front-end door 50, the card reader is triggered by swiping a card, so that the card reader changes the state, and further a trigger signal is sent to the OpenGL server 30.
The OpenGL server 30 obtains the face information in the shooting information of the monitoring device 10 when receiving the trigger signal sent by the signal transmitter 20, and compares the obtained face information with a pre-stored face information library. The OpenGL server 30 includes an image acquisition module, an image processing module, and a face recognition module. And the image acquisition module acquires the information shot by the monitoring device. The image processing module acquires and stores a plurality of face information in the information acquired by the image acquisition module. The face recognition module compares the face information acquired by the image processing module with a pre-stored face information base. Specifically, the OpenGL server 30 performs multiple screenshots on a video shot by the camera, finds out a plurality of target pictures with faces in the screenshots, and stores the plurality of target pictures in preset positions in the system. And then acquiring the face information in each target picture, storing the face information, and comparing the face information with a face information base prestored in the system. The OpenGL may respectively obtain a plurality of pieces of face information in the shooting information of the monitoring device 10, and perform face comparison on the obtained plurality of pieces of face information and a pre-stored face information library.
The logic server 40 determines the security status of the area to be monitored according to the face comparison result of the OpenGL server 30. Specifically, as described above, the logic server 40 is previously set with a plurality of security states. When receiving the face comparison result of the OpenGL server 30, the logic server 40 determines which security state the area to be monitored is currently in. The logical server 40 may determine that the following results: at least one of safety states of entering and alarming by outside personnel, alarming by people with inconsistent witnesses, limiting the intrusion of an area and alarming, and warning by a suspected person in a loitering state. The staff can perform corresponding execution measures according to the judgment result of the logic server 40.
The client terminal 50 displays the judgment result of the logic server 40. The staff member implements the corresponding execution measures according to the contents displayed by the client terminal 50.
In this embodiment, the OpenGL server 30 is preset with a similarity standard value. The OpenGL server 30 compares the acquired face information with a pre-stored face information base to obtain a highest similarity score of the face information, and then compares the highest similarity score with a similarity standard value. And if the highest similarity score is higher than the similarity standard value, judging that the entry is legal. And if the highest similarity score is lower than the similarity standard value, judging illegal entry.
As described above, the access security management system further includes an access front-end device provided with a front-end door 50 for opening or closing an entrance/exit passageway. The security management method may control opening or closing of the front-end gate 50 according to the comparison result of the OpenGL server 30 and/or the determination result of the logic server 40. When the highest similarity score is above the similarity criterion, the front end gate 50 is opened. When the highest degree similarity score is lower than the similarity criterion, the front end door 50 is closed.
The OpenGL server 30 can obtain the face information in the shooting information of the monitoring device 10, and compare the face information with the pre-stored face information base respectively. The logic server 40 can determine the security status of the area to be monitored according to the face comparison result of the OpenGL server 30. OpenGL can respectively acquire a plurality of face information in the shooting information of the monitoring device 10, and respectively perform face comparison on the acquired face information and a prestored face information base, so that the face recognition efficiency of the access control is improved, and the monitoring range is expanded.
The monitoring settings may be set to capture video. The OpenGL server 30 can identify, optimize and compare the faces of the video screenshots, improve the face identification efficiency of the entrance guard, and enlarge the monitoring range.
The logic server 40 may preset various security states. This safety management system probably can promote the scope of entrance guard's control, solves some short slabs of entrance guard's control, if: and the following access, unauthorized access and the like greatly improve the quality and efficiency of security and accelerate the intelligent process of entrance guard monitoring.
The above description is only for the preferred embodiment of the present invention and should not be construed as limiting the scope of the present invention, and any modification, equivalent replacement or improvement within the spirit of the present invention is encompassed by the claims of the present invention.
Claims (11)
1. A security management system, comprising:
a monitoring device configured to photograph an area to be monitored;
the OpenGL server is configured to acquire face information in the shooting information of the monitoring equipment and compare the acquired face information with a pre-stored face information base;
the logic server is in communication connection with the OpenGL server; the logic server is configured to judge the safety state of the area to be monitored according to the face comparison result of the OpenGL server.
2. The security management system according to claim 1, characterized in that:
the OpenGL server is configured to respectively acquire a plurality of pieces of face information in the shooting information of the monitoring equipment, and respectively perform face comparison on the acquired face information and a pre-stored face information base.
3. The security management system according to claim 1, characterized in that:
the monitoring equipment comprises a camera for shooting a to-be-monitored area to obtain a video;
the OpenGL server is configured to capture a video shot by the camera, find out a target picture with a face in the captured picture, and acquire face information in the target picture.
4. The security management system according to claim 3, characterized in that:
the number of the target pictures is multiple;
the OpenGL server is configured to: and storing a plurality of target pictures into preset positions, and respectively acquiring and storing the face information in each target picture.
5. The security management system according to claim 1, characterized in that:
the OpenGL server is preset with a similarity standard value;
the OpenGL server is configured to: when the acquired face information is compared with a pre-stored face information base, the highest similarity score of the face information is obtained, the highest similarity score is compared with a similarity standard value, and whether the pre-stored face information base contains the face information is judged.
6. The security management system according to claim 1, characterized in that:
the OpenGL server comprises an image acquisition module, an image processing module and a face recognition module;
the image acquisition module is in communication connection with the monitoring equipment and acquires information shot by the monitoring equipment;
the image processing module is configured to acquire and save a plurality of pieces of face information in the information acquired by the image acquisition module;
the face recognition module is configured to compare the face information acquired by the image processing module with a pre-stored face information base.
7. The security management system of claim 1, further comprising an access front-end device;
the front-end entrance guard equipment is provided with a front-end door for opening or closing an entrance/exit channel;
the security management system is configured to control opening or closing of the front-end door according to a comparison result of the OpenGL server and/or a determination result of the logic server.
8. The security management system according to claim 7, characterized in that;
the entrance guard front-end equipment comprises a signal transmitter, and the signal transmitter is configured to be capable of transmitting a trigger signal when triggered;
the OpenGL server is configured to acquire the face information in the shooting information of the monitoring equipment when receiving the trigger signal sent by the signal transmitter.
9. The security management system according to claim 8, characterized in that:
the signal transmitter is a card reader.
10. The security management system according to claim 1, characterized in that:
the logic server is preset with various safety states of external personnel entering and alarming at the tail, people's license inconsistency and alarming, area intrusion limiting and alarming, and suspect loitering and alarming;
the logic server is configured to judge the current safety state of the area to be monitored according to the face comparison result of the OpenGL server.
11. The security management system according to claim 1, comprising a client terminal;
the client terminal is configured to display the comparison result of the OpenGL server; and/or the client terminal is configured to display the judgment result of the logic server.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113744443A (en) * | 2020-05-27 | 2021-12-03 | 佳都新太科技股份有限公司 | Gate channel anti-cheating control method, device, equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113744443A (en) * | 2020-05-27 | 2021-12-03 | 佳都新太科技股份有限公司 | Gate channel anti-cheating control method, device, equipment and storage medium |
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