CN110599657A - Access control monitoring system and method based on image recognition technology - Google Patents
Access control monitoring system and method based on image recognition technology Download PDFInfo
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Abstract
The invention discloses an access control monitoring control system and method based on an image recognition technology, which comprises image acquisition equipment, a monitoring cloud platform, an access control management system and an image analysis system, wherein the access control management system and the image analysis system are connected with the monitoring cloud platform through a communication module, the image acquisition equipment is connected with the monitoring cloud platform through a lead, and the image acquisition equipment comprises monitoring equipment, a visual angle image module, a panoramic image module, an audible and visual alarm and a fire sensor which are sequentially connected. Has the advantages that: the image recognition is combined with the entrance guard verification, the safety level is greatly improved by the double-authentication mode, the shooting probability corresponding to the distance (depth of field information) between the personnel and the lens during shooting is utilized, the image recognition efficiency and accuracy are greatly improved, the use comfort of a user is improved, the illegal personnel can be effectively prevented from being mixed into the entrance guard, the property of the user is ensured, and the safety of operation and the like of a novel scientific maintenance management mode is realized.
Description
Technical Field
The invention relates to the technical field of access control technology and image recognition, in particular to an access monitoring control system and method based on the image recognition technology.
Background
The key technology in the access control system is identity recognition, and in the current domestic security market, the adopted scheme mainly comprises three categories of wireless radio frequency card recognition, password recognition and biological characteristic recognition.
The main advantages of the line radio frequency card identification and the password identification are high reliability, convenient operation, fast identification, good encryption performance and the like. However, the radio frequency card has the disadvantages that the radio frequency card belongs to a real object, and the possibility of loss and theft causes the safety to be reduced; the password identification has the defects of limited capacity, no access record, only one-way control, easy forgetting and leakage and low applicability to the old and children. In order to solve the above problems, a biometric recognition technology is introduced into an access control system.
The biological characteristics are unique and invariable throughout the life, so the biological characteristics have high reliability as identification. For example, fingerprint identification, through special photoelectric conversion equipment and image analysis technology, compare the fingerprint that gathers with the fingerprint data of preserving in advance, can automatic, rapidly, accurately discern individual identity, specific application is fingerprint entrance guard, all direct transfer to central station with access control system's video information, have tens or even hundreds of ways video image to monitor like this, it can not realize whole monitoring to rely on the manpower only, and visual fatigue and manpower lacked easily lead to the accident and can't be caught, can't be prevented even more, and image identification system influences image identification's effect because factors such as weather light in the in-process of using, user experience has greatly reduced.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides an access control monitoring control system and method based on an image recognition technology, so as to overcome the technical problems in the prior related art.
Therefore, the invention adopts the following specific technical scheme:
an access control monitoring control system and method based on image recognition technology comprises image acquisition equipment, a monitoring cloud platform, an access control management system and an image analysis system, wherein the access control management system and the image analysis system are connected with the monitoring cloud platform through a communication module, and the image acquisition equipment is connected with the monitoring cloud platform through a lead;
wherein the image acquisition equipment comprises a monitoring device, a visual angle image module, a panoramic image module, an audible and visual alarm, a fire sensor, an infrared sensor and a voice communication module which are connected in sequence, the monitoring cloud platform comprises a region terminal, a comprehensive monitoring platform, a warning module and a remote notification unit which are connected in sequence, the access control management system is arranged on the access door of each floor, the access control management system is connected with the monitoring cloud platform through the communication module and is used for controlling each access control by the monitoring management platform, the monitoring cloud platform sends a master control instruction, the access control management system is opened and closed, the access control card cannot open the gate after the access control management system receives the closing instruction, the image analysis system comprises a face size recognition module, an action recognition module, a data comparison module and a database which are sequentially connected.
Preferably, the data of the size measurement of the face size recognition module includes pupil distance, histogram feature, color feature, template feature and structure feature, the face size recognition module is used for performing size measurement on the face D model, and the action recognition module includes nodding indication, shaking indication and blinking indication.
Preferably, the data comparison module is configured to receive action information executed by the user of the face size identification module, compare the action information of the user with an action instruction sent by the database, and retrieve the size of the face D model in the database to find out identity information of a person corresponding to a matching face after verifying that the action is correct.
Preferably, the data comparison module locks the identification system when the number of times that the action information of the user does not conform to the action indication reaches a set value, and the monitoring cloud platform sends an alarm or transmits the information to a related person in charge through the communication system after receiving the information of the verification action locking identification system.
Preferably, the monitoring equipment controls the television wall through the monitoring cloud platform to realize sequential page turning, picture segmentation, talkback linkage and entrance guard linkage of monitoring images of the monitoring equipment, and audio and video signals of the monitoring equipment are connected with a master control video switching system of the monitoring cloud platform through a wire.
As preferred, the control cloud platform calls the control image in the image acquisition equipment through the wire, access control management system is used for the control of control cloud platform to each entrance guard, control cloud platform sends total accuse instruction, control access control management system's opening and closing, access control management system receives the gate card can't open the gate after closing the instruction.
According to another aspect of the present invention, there is provided an access monitoring control method based on image recognition technology, which is used in an access monitoring control system based on image recognition technology, and includes the following steps:
carrying out facial image recognition on the video, audio and images acquired by the image acquisition equipment, and simultaneously acquiring a plurality of preview images meeting preset conditions;
the acquired video and the acquired image respectively divide the plurality of preview images, and the plurality of divided preview images are synthesized;
starting a GPS module through the image acquisition equipment to acquire information of the current position, direction, weather and the like;
behavior and characteristics of the collected videos and images are identified by combining with current weather information, whether matching is successful or not is judged, if matching is successful, door opening permission is granted, and if not, door opening permission is granted;
if not, comparing the data in the database again, and controlling the monitoring equipment to view;
detecting attitude parameters of the monitoring equipment in a space coordinate system by using a sensor built in the monitoring equipment, and identifying each shooting object in a preview window and depth-of-field information corresponding to the shooting object;
simultaneously acquiring a plurality of preview images meeting preset conditions, comparing to improve the comparison effect, and if the comparison result is negative;
and transmitting information to the area terminal, the comprehensive supervision platform, the warning module and the remote notification unit through a monitoring cloud platform.
Preferably, the warning module starts an alarm lamp of the audible and visual alarm to flash through the audible and visual alarm, gives out alarm sound and is connected with the remote notification unit.
Preferably, the integrated supervision platform notifies security personnel of deployment management in the vicinity of the position of an alarm signal sent out by the residential area of the community through a satellite navigation positioning technology, and issues an alarm if the personnel are abnormal, and releases the alarm if the personnel are not abnormal.
Preferably, the access control management system further comprises visitor access control information obtained by inputting the visitor, the visitor information input module comprises a two-dimensional code reading unit and a key input unit, and the visitor access control information obtained by the visitor is input into the access control management system through the access control information input module.
The invention has the beneficial effects that: the image identification and the gate inhibition verification are combined, the safety level is greatly improved by the double-authentication mode, the shooting probability corresponding to the distance (depth of field information) between a person and a lens during shooting is utilized, the depth of field information corresponding to each shooting object is compared with a preset condition, and the shooting object of which the depth of field information meets the preset condition is marked as an object to be shot; acquiring the shooting probability of each object to be shot according to the depth of field information of the object to be shot; sequencing the shooting probabilities of the objects to be shot to obtain the object to be shot with the maximum shooting probability as a shooting subject; therefore, the object to be shot by the user is intelligently identified according to the statistical probability corresponding to the depth of field information of the shot object, the efficiency and the accuracy of image identification are greatly improved, the use comfort of the user is improved, illegal personnel can be effectively prevented from being mixed into the entrance guard, the property of the user is ensured, the unattended operation of few people or unmanned people is realized, the backward maintenance mode which is watched manually in the past is changed, and the safety such as the operation of a new scientific maintenance management mode is realized under the condition of the unattended operation of few people or unmanned people.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an access monitoring control system based on an image recognition technology according to an embodiment of the present invention;
fig. 2 is a second schematic structural diagram of an access monitoring control system based on image recognition technology according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating steps of a method for controlling access monitoring based on image recognition technology according to an embodiment of the present invention.
In the figure:
1. an image acquisition device; 2. monitoring the cloud platform; 3. an access control system; 4. an image analysis system; 5. a communication module; 6. monitoring equipment; 7. a view angle image module; 8. a panoramic image module; 9. an audible and visual alarm; 10. a fire sensor; 11. an infrared sensor; 12. a voice call module; 13. a regional terminal; 14. a comprehensive supervision platform; 15. a warning module; 16. a remote notification unit; 17. a face size recognition module; 18. an action recognition module; 19. a data comparison module; 20. a database.
Detailed Description
For further explanation of the various embodiments, the drawings which form a part of the disclosure and which are incorporated in and constitute a part of this specification, illustrate embodiments and, together with the description, serve to explain the principles of operation of the embodiments, and to enable others of ordinary skill in the art to understand the various embodiments and advantages of the invention, and, by reference to these figures, reference is made to the accompanying drawings, which are not to scale and wherein like reference numerals generally refer to like elements.
According to the embodiment of the invention, an access control monitoring control system and method based on an image recognition technology are provided.
The first embodiment;
as shown in fig. 1-3, the system and method for controlling access monitoring based on image recognition technology according to the embodiment of the present invention includes an image acquisition device 1, a monitoring cloud platform 2, an access control management system 3 and an image analysis system 4, where the access control management system 3 and the image analysis system 4 are connected to the monitoring cloud platform 2 through a communication module 5, and the image acquisition device 1 is connected to the monitoring cloud platform 2 through a wire;
wherein, image acquisition equipment 1 is including supervisory equipment 6, visual angle image module 7, panoramic image module 8, audible-visual annunciator 9, fire sensor 10, infrared sensor 11, voice call module 12 that connect gradually, control cloud platform 2 is including the regional terminal 13 that connects gradually, synthesize supervision platform 14, warning module 15 and remote notification unit 16, access control management system 3 installs on the passway door of each floor, through communication module 5 with control cloud platform 2 connects, access control management system 3 is used for the control of supervision management platform to each entrance guard, control cloud platform 2 sends total accuse instruction, access control management system 3 opens and closes, access control system 3 can't open the gate after receiving the instruction of closing, image analysis system 4 is including the face size identification module 17, the face size identification module that connects gradually, An action recognition module 18, a data comparison module 19 and a database 20.
Face size recognition module 17's size measurement's data include, interpupillary distance, histogram characteristic, color feature, template characteristic, structural feature, just face size recognition module 17 is used for carrying out size measurement to face 3D model, action recognition module 18 is including pointing the head and instructing, the instruction of shaking the head, blink and instruct.
The data comparison module 19 is configured to receive the action information executed by the user of the face size identification module 17, compare the action information of the user with the action indication sent by the database 20, and retrieve the size of the face 3D model in the database 20 to find out the identity information of the person corresponding to the matching face after the action verification is correct.
When the number of times that the action information of the user does not conform to the action indication reaches a set value, the data comparison module 19 locks the identification system, and after receiving the information of the verification action locking identification system, the monitoring cloud platform 2 gives an alarm or transmits the information to a related person in charge through a communication system.
The monitoring device 6 controls the television wall through the monitoring cloud platform 2 to realize sequential page turning, picture segmentation, talkback linkage and entrance guard linkage of the monitoring image of the monitoring device 6, and the audio and video signals of the monitoring device 6 are connected with a master control video switching system of the monitoring cloud platform 2 through a wire.
Monitoring cloud platform 2 calls the control image in the image acquisition equipment 1 through the wire, access control management system 3 is used for monitoring cloud platform 2 is to the control of each entrance guard, control cloud platform 2 sends total accuse instruction, controls access control management system 3 opens and closes, access control management system 3 receives the gate that can't open of access control card behind the instruction of closing.
Example two;
as shown in fig. 1 to 3, an access control monitoring method based on image recognition technology is used for an access control monitoring system based on image recognition technology, and includes the following steps:
carrying out facial image recognition on the video, audio and images acquired by the image acquisition equipment 1, and simultaneously acquiring a plurality of preview images meeting preset conditions;
the acquired video and the acquired image respectively divide the plurality of preview images, and the plurality of divided preview images are synthesized;
starting a GPS module through the image acquisition equipment 1 to acquire information such as information of a current position, a direction, weather and the like;
behavior and characteristics of the collected videos and images are identified by combining with current weather information, whether matching is successful or not is judged, if matching is successful, door opening permission is granted, and if not, door opening permission is granted;
if not, comparing the data in the database 20 again, and controlling the monitoring equipment 6 to view;
detecting attitude parameters of the monitoring equipment 6 in a space coordinate system by using a sensor built in the monitoring equipment 6, and identifying each shooting object in a preview window and depth-of-field information corresponding to the shooting object;
simultaneously acquiring a plurality of preview images meeting preset conditions, comparing to improve the comparison effect, and if the comparison result is negative;
information is transmitted to the zone terminal 13, the integrated supervision platform 14, the warning module 15 and the remote notification unit 16 through the monitoring cloud platform 2.
The warning module 15 starts the alarm lamp of the audible and visual alarm to flash through the audible and visual alarm 9 and sends out alarm sound, and is connected with the remote notification unit 16.
The integrated supervision platform 14 notifies security personnel of deployment management according to the position of an alarm signal sent out in a residential area of a community by a satellite navigation positioning technology, and if the personnel are abnormal, the alarm is issued, and if the personnel are not abnormal, the alarm is released.
The access control system 3 further comprises visitor access control information used for inputting and obtaining visitors, the visiting information input module comprises a two-dimensional code reading unit and a key input unit, and the visitors pass the obtained visitor access control information through the access control information input module to input the system.
As shown in fig. 3, according to an embodiment of the present invention, there is further provided an access monitoring control method based on an image recognition technology, which is used for an access monitoring control system based on an image recognition technology, and includes the following steps:
step S101, carrying out facial image recognition on the video, audio and image collected by the image collecting equipment 1, and simultaneously obtaining a plurality of preview images meeting preset conditions;
step S103, the collected video and image respectively divide the plurality of preview images, and the plurality of divided preview images are synthesized;
step S105, starting a GPS module through the image acquisition equipment 1 to acquire information such as information of a current position, a direction, weather and the like;
step S107, the behavior and the characteristics of the collected video and image are identified by combining with the current weather information, whether the matching is successful or not is judged, if the matching is successful, the door opening permission is granted, and if the matching is not successful, the door opening permission is granted;
step S109, if not, the data in the database 20 is compared again, and the monitoring device 6 is controlled to view;
step S111, detecting attitude parameters of the monitoring equipment 6 in a space coordinate system by using a sensor built in the monitoring equipment 6, and identifying each shooting object in a preview window and depth-of-field information corresponding to the shooting object;
step S113, a plurality of preview images meeting preset conditions are acquired simultaneously and compared to improve the comparison effect, and if the comparison result is negative, the comparison result is obtained;
in step S115, information is transmitted to the area terminal 13, the integrated monitoring platform 14, the warning module 15, and the remote notification unit 16 through the monitoring cloud platform 2.
In summary, according to the technical scheme of the present invention, by combining image recognition and access control verification, the security level is greatly improved in the dual authentication mode, the shooting probability corresponding to the distance (depth of field information) between a person and a lens during shooting is utilized, the depth of field information corresponding to each shot object is compared with the preset condition, and the shot object whose depth of field information meets the preset condition is marked as the object to be shot; acquiring the shooting probability of each object to be shot according to the depth of field information of the object to be shot; sequencing the shooting probabilities of the objects to be shot to obtain the object to be shot with the maximum shooting probability as a shooting subject; therefore, the object to be shot by the user is intelligently identified according to the statistical probability corresponding to the depth of field information of the shot object, the efficiency and the accuracy of image identification are greatly improved, the use comfort of the user is improved, illegal personnel can be effectively prevented from being mixed into the entrance guard, the property of the user is ensured, the unattended operation of few people or unmanned people is realized, the backward maintenance mode which is watched manually in the past is changed, and the safety such as the operation of a new scientific maintenance management mode is realized under the condition of the unattended operation of few people or unmanned people.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. The access control monitoring control system based on the image recognition technology is characterized by comprising an image acquisition device (1), a monitoring cloud platform (2), an access control management system (3) and an image analysis system (4), wherein the access control management system (3) and the image analysis system (4) are connected with the monitoring cloud platform (2) through a communication module (5), and the image acquisition device (1) is connected with the monitoring cloud platform (2) through a lead;
wherein, the image acquisition device (1) comprises a monitoring device (6), a visual angle image module (7), a panoramic image module (8), an audible and visual alarm (9), a fire sensor (10), an infrared sensor (11) and a voice call module (12) which are connected in sequence, the monitoring cloud platform (2) comprises a region terminal (13), a comprehensive monitoring platform (14), a warning module (15) and a remote notification unit (16) which are connected in sequence, the access control system (3) is installed on a passage door of each floor and is connected with the monitoring cloud platform (2) through the communication module (5), the access control system (3) is used for monitoring the control of the monitoring platform on each access control, the monitoring cloud platform (2) sends out a master control instruction, the access control system (3) is opened and closed, and the access control card can not open a gate after the access control system (3) receives a closing instruction, the image analysis system (4) comprises a face size recognition module (17), an action recognition module (18), a data comparison module (19) and a database (20) which are sequentially connected.
2. An access control system based on image recognition technology according to claim 1, characterized in that the data of the size measurement of the face size recognition module (17) comprises pupil distance, histogram feature, color feature, template feature, and structure feature, and the face size recognition module (17) is used for size measurement of a 3D model of the face, and the motion recognition module (18) comprises a head-nod indication, a head-shaking indication, and a blink indication.
3. The door access monitoring control system based on the image recognition technology as claimed in claim 2, wherein the data comparison module (19) is configured to receive the action information executed by the user of the face size recognition module (17), compare the action information of the user with the action indication sent by the database (20), and after the action verification is correct, retrieve the size of the 3D model of the face in the database (20) to find out the identity information of the person corresponding to the face in agreement.
4. The access control monitoring system based on the image recognition technology as claimed in claim 3, wherein the data comparison module (19) locks the recognition system when the number of times that the action information of the user does not conform to the action indication reaches a set value, and the monitoring cloud platform (2) sends an alarm or transmits the information to a relevant person in charge through a communication system after receiving the information of the verification action locking recognition system.
5. The access control monitoring system based on the image recognition technology as claimed in claim 4, wherein the monitoring device (6) controls a television wall through the monitoring cloud platform (2) to realize sequential page turning, picture segmentation, talkback linkage and access control linkage of the monitoring image of the monitoring device (6), and audio and video signals of the monitoring device (6) are connected with a master control video switching system of the monitoring cloud platform (2) through a wire.
6. The access control monitoring and controlling system based on image recognition technology of claim 5, characterized in that, control cloud platform (2) transfers the control image in image acquisition equipment (1) through the wire, access control management system (3) are used for control cloud platform (2) is to the control of each entrance guard, control cloud platform (2) send total accuse instruction, control opening and closing of access control management system (3), access control management system (3) receive the gate that can't be opened to the entrance guard card after closing the instruction.
7. An access control monitoring control method based on image recognition technology, which is used for the access control monitoring control system based on image recognition technology of claim 6, and comprises the following steps:
carrying out facial image recognition on the video, audio and images acquired by the image acquisition equipment (1), and simultaneously acquiring a plurality of preview images meeting preset conditions;
the acquired video and the acquired image respectively divide the plurality of preview images, and the plurality of divided preview images are synthesized;
starting a GPS module through the image acquisition equipment (1) to acquire information such as information of a current position, a direction, weather and the like;
behavior and characteristics of the collected videos and images are identified by combining with current weather information, whether matching is successful or not is judged, if matching is successful, door opening permission is granted, and if not, door opening permission is granted;
if not, comparing the data in the database (20) again, and controlling the monitoring equipment (6) to view;
detecting attitude parameters of the monitoring equipment (6) in a space coordinate system by using a sensor built in the monitoring equipment (6), and identifying each shooting object in a preview window and depth-of-field information corresponding to the shooting object;
simultaneously acquiring a plurality of preview images meeting preset conditions, comparing to improve the comparison effect, and if the comparison result is negative;
transmitting information to the zone terminal (13), the integrated supervision platform (14), the warning module (15) and the remote notification unit (16) through a monitoring cloud platform (2).
8. The door access monitoring control method based on image recognition technology as claimed in claim 7, wherein the warning module (15) activates the alarm lamp of the audible and visual alarm to flash and generate the alarm sound through the audible and visual alarm (9) and is connected with the remote notification unit (16).
9. The access control monitoring method based on image recognition technology as claimed in claim 8, wherein the integrated supervision platform (14) notifies security personnel of deployment management according to the position of the alarm signal sent out in the residential area of the community by satellite navigation positioning technology, and issues an alarm if the personnel is abnormal, and releases the alarm if the personnel is not abnormal.
10. The access control monitoring and controlling method based on the image recognition technology as claimed in claim 9, wherein the access control system (3) further comprises a visitor access control information input module for inputting the obtained visitor access information to the visitor, the visitor information input module comprises a two-dimensional code reading unit and a key input unit, and the visitor inputs the obtained visitor access control information into the system through the access control information input module.
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Application publication date: 20191220 |