CN113570767B - Face recognition system based on cloud data and operation method thereof - Google Patents

Face recognition system based on cloud data and operation method thereof Download PDF

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Publication number
CN113570767B
CN113570767B CN202110298360.4A CN202110298360A CN113570767B CN 113570767 B CN113570767 B CN 113570767B CN 202110298360 A CN202110298360 A CN 202110298360A CN 113570767 B CN113570767 B CN 113570767B
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module
bluetooth
electrically connected
face recognition
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CN113570767A (en
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张楠
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Fuyang Big Data Asset Operation Co ltd
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Fuyang Big Data Asset Operation Co ltd
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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/32Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/38Individual registration on entry or exit not involving the use of a pass with central registration

Abstract

The invention discloses a cloud data-based face recognition system and an operation method thereof, the system comprises a face recognition machine body, a touch display screen is installed on the face recognition machine body, the face recognition machine body is connected with electric guide rails in pairs, the electric guide rails are connected with cameras, the cameras are matched and electrically connected with the touch display screen, a proximity inductive switch is installed on the front end face of the face recognition machine body, the proximity inductive switch is electrically connected with the cameras, the electric guide rails and the touch display screen, and the face recognition system is loaded in the face recognition machine body. According to the invention, the Bluetooth of the mobile phone end is turned on, and then the passer steps on the pressure sensing switch by feet, so that the pressure sensing switch enables the power module of the Bluetooth identification system to be electrified, the Bluetooth identification system operates to identify Bluetooth and unlock, and the passer can still safely and quickly pass when the passer cannot identify the face.

Description

Face recognition system based on cloud data and operation method thereof
Technical Field
The invention relates to the technical field of face recognition systems, in particular to a face recognition system based on cloud data and an operation method thereof.
Background
The face recognition system triggers related equipment by means of recognition of facial features of people, is a face recognition system which is commonly equipped with entrance guards of some units, opens the entrance guard by means of face recognition, and facilitates the passage of people;
the general face recognition system has the following disadvantages: the face recognition system of general entrance guard only possesses the function of opening entrance guard through facial discernment, and some external strangers or lawless persons, often can be when other people rely on facial discernment to open the entrance guard, take advantage of the machine and wear through, though general entrance guard can have the person of keeping in charge, to the morning peak of working, everybody is being driven to work, the person of keeping in charge is many, the person of keeping in charge is difficult effectively to be managed and controlled, will sneak into the external personnel very easily like this, the face recognition system of current entrance guard can't carry out effective mark to the external personnel who passes through, inconvenient staff checks, current face recognition system only possesses facial discernment or magnetic card response unblock entrance guard simultaneously, and to under the epidemic situation, the person of wearing needs to wear the gauze mask, take off the gauze mask discernment this moment, the infection danger has been increased, even if pass with magnetic card response, the hand also easily contacts the magnetic card induction zone, and the magnetic card induction zone belongs to the public area, like this also can increase the infection risk, it is not convenient enough.
Disclosure of Invention
The invention aims to provide a face recognition system based on cloud data and an operation method thereof, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a face recognition system based on cloud data comprises a face recognition machine body, wherein a touch display screen is installed on the face recognition machine body, electric guide rails are connected on the face recognition machine body in pairs, a camera is connected on the electric guide rails and is electrically connected with the touch display screen in a matching mode, a proximity inductive switch is installed on the front end face of the face recognition machine body and is electrically connected with the camera, the electric guide rails and the touch display screen, a face recognition system is loaded in the face recognition machine body and is electrically connected with the camera in a corresponding mode, the face recognition system comprises a video input module, a face information database, a retrieval module, a comparison module, an entrance guard unlocking module, a plurality of face recognition modules, a screen recording module, a storage module, a video storage library, a first network uploading module, a first cloud database, a networking system, a deleting module and a marking module, the video input module is connected with the camera, the retrieval module is electrically connected on the face information database, the comparison module is electrically connected between the retrieval module and the video input module, the comparison module is used for comparing the information retrieved by the retrieval module with the face information transmitted by the video input module, the entrance guard unlocking module is electrically connected on the comparison module, the multiple face recognition modules are electrically connected on the video input module, the multiple face recognition modules are used for recognizing multiple faces in the same picture, the screen recording module is electrically connected with the multiple face recognition modules and the touch display screen, the storage module and the marking module are electrically connected between the screen recording module and the video repository, and the network uploading module is electrically connected between the video repository and the cloud database, the first cloud database is electrically connected with the networking system.
Preferably, the inside loading of face identification organism has bluetooth identification system, bluetooth identification system includes bluetooth identification module, bluetooth search module, cell-phone end bluetooth and memory module, bluetooth search module electricity is connected bluetooth identification module output, memory module electricity is connected on the bluetooth identification module, power module has been set on the bluetooth identification system, the downside fixedly connected with pillar of face identification organism, the notch has been seted up to the pillar lower extreme, the interior bottom fixed mounting of notch has pressure-sensitive switch, pressure-sensitive switch with the power module electricity is connected, set the manual record system of bluetooth on the face identification organism, the manual record system of bluetooth includes bluetooth matching interface, bluetooth search start module and bluetooth match connection module, compare the module with bluetooth matching interface electricity is connected, bluetooth search start module electricity is connected bluetooth matching interface with between the bluetooth matching connection module, bluetooth match connection module with memory module electricity is connected, and memory module is used for the bluetooth that the record connects.
Preferably, the bluetooth identification system is electrically connected with a cloud database II, the bluetooth identification module is electrically connected with a feedback module, a network uploading module II is electrically connected between the feedback module and the cloud database II, the cloud database II is provided with a counting system, the counting system comprises a statistical table, a same-name retrieval module, a starting module, an accumulation module, an output module, a threshold detection module, an accumulation result identification module, a date recording module, a time calculation module, a search module, a data storage library and a name selection clearing module II, the same-name retrieval module is electrically connected to the statistical table, the starting module is electrically connected between the same-name retrieval module and the network uploading module II, the same-name retrieval module is used for retrieving the same bluetooth names in the statistical table, the network uploading module II is electrically connected to the statistical table, the accumulation module is electrically connected to the output end of the same-name retrieval module, the output module is electrically connected between the statistical table and the accumulation module, and the accumulation module is used for accumulating the number of the same-name bluetooth retrieved by the same-name retrieval module; the accumulated result identification module is electrically connected to the output module and is used for identifying the condition that the quantity value accumulated by the Bluetooth with the same name is one, the date recording module is electrically connected to the accumulated result identification module and is used for recording the date when the Bluetooth with one name is used for the first time, the date recording module is electrically connected to the data storage bank, and the date recording module stores and records the time and date when each Bluetooth is used for the first time in the data storage bank; the time calculation module is electrically connected to the output module, a search module is electrically connected between the time calculation module and the data repository, and a name selection clearing module II is electrically connected between the time calculation module and the statistical table and is used for clearing the Bluetooth with the same name exceeding the corresponding recording times; the threshold detection module is electrically connected to the output module and is used for detecting whether the number of times of Bluetooth use of the corresponding name exceeds a corresponding limit value.
Preferably, the threshold detection module is electrically connected with a prompt module.
Preferably, the first cloud database and the second cloud database are both provided with login clients, and the login clients are software applications.
Preferably, the video repository is electrically connected with a timing clearing module, a backup module is electrically connected between the video repository and the first network uploading module, the backup module backs up video data in the video repository, and the timing clearing module clears data in the video repository.
Preferably, the face recognition machine body is provided with a storage battery pack.
An operation method of a face recognition system based on cloud data comprises the following specific steps:
the first step is that the face recognition machine body is used with the entrance guard device, when a passer walks close to the face recognition machine body, a proximity induction switch generates induction to enable a camera and a touch display screen to start operation, and simultaneously an electric guide rail drives the connected camera to transversely move from the middle position to the edge position of the face recognition machine body, so that the camera is convenient to shoot the face of the user, the user does not need to align the face to a recognition frame on the touch display screen, the shooting range of the camera is enlarged, the face information database in the face recognition system is a passing person face information storage space, when the camera transmits the shot face picture to the system through a video input module, a retrieval module retrieves the information in the face information database, then a comparison module compares whether the retrieved information from the face information database by the retrieval module is overlapped with the face information transmitted by the video input module, when the information is overlapped, a feedback signal is fed back to an unlocking module, the entrance guard unlocking module opens the corresponding entrance guard, when a plurality of faces exist in the pictures transmitted by the video input module, namely, a plurality of persons pass through the entrance guard, the entrance guard device mainly simultaneously, and the entrance guard display module can not simultaneously, when the comparison video display of the face information displayed by the face recognition module is started, the face recognition module, the entrance guard can not be compared with the face information displayed by the face information display module, and the face information display module, when the face information display module, meanwhile, the storage module transmits the marked video to the video storage library, the network uploading module uploads the video data to the first cloud database through the network, when checking is needed, the marked data stored in the first cloud database are directly downloaded through the network, and then comparison is carried out through the information comparison system, so that public safety is maintained, meanwhile, when corresponding events occur in an area controlled by the face recognition system, related investigators can rapidly check strangers which cannot be recognized, then internal checking is carried out, and the safety control effect is improved;
in the second step of face recognition operation, the comparison module generates induction to enable a Bluetooth matching interface to be displayed on the touch display screen, then a Bluetooth search starting module is clicked, meanwhile, bluetooth at the mobile phone end is started, the Bluetooth manual recording system searches for the name of the Bluetooth at the mobile phone end, then the Bluetooth matching connection module is clicked, the Bluetooth matching connection module enables the Bluetooth at the mobile phone end to be connected with Bluetooth in the face recognition machine body, meanwhile, the Bluetooth matching connection module enables the connected Bluetooth name to be fed back to the memory module, the memory module stores the name in a memory mode, therefore, when a passer wears a mask due to some illness conditions and the face is blocked and cannot recognize the face, the Bluetooth at the mobile phone end is started, the passer treads a pressure sensing switch with feet, the pressure sensing switch enables a power module of the Bluetooth recognition system to be powered on to enable the Bluetooth recognition system to operate, then the Bluetooth search module starts to search, then the Bluetooth recognition module automatically connects the Bluetooth which is the closest distance to the memory module, and feeds back a signal to an entrance guard unlocking module after connection, so that the entrance guard is opened through the unlocking module;
thirdly, when a user unlocks the entrance guard to pass through the Bluetooth at the mobile phone end every time, the Bluetooth identification module feeds back a used Bluetooth name through the feedback module, the Bluetooth name is transmitted to a counting system in the cloud database II through the network uploading module II, namely, the currently used Bluetooth name is stored in a statistical table, meanwhile, the network uploading module II causes the starting module to start a same-name retrieval module, the same-name retrieval module retrieves the same Bluetooth name currently stored in the statistical table, then the number of times of storage, namely the number of times that the same Bluetooth has been used, is calculated in an accumulating mode, and then the same Bluetooth name is output and stored into the statistical table through the output module, the threshold detection module monitors whether the number of times of use of each Bluetooth reaches an upper limit, when the upper limit is reached, a signal is fed back to a management worker for checking, and the condition that some people use other mobile phone devices to unlock the Bluetooth for a long time is avoided, the accumulated result identifying module identifies the output accumulated value, when each Bluetooth is used for the first time, the accumulated result identifying module identifies the Bluetooth and feeds back a signal to the date recording module, the date recording module records the date and time of the first use of each Bluetooth and stores the date and time in the data storage library, the time calculating module calculates the time interval between the date of each Bluetooth and the date of the first use of the Bluetooth stored in the data storage library, when the result calculated by the time calculating module reaches the set time, the time calculating module feeds back a signal to the name selecting and clearing module, the name selecting and clearing module clears the Bluetooth record of the corresponding name in the statistical table, and the condition that the threshold detecting module detects that the number of times of use of a certain Bluetooth exceeds the limited number and feeds back the Bluetooth under the condition of large time span is avoided, make things convenient for the staff to control the unusual action of repetitious usage bluetooth discernment in corresponding time, the data of saving in cloud data one and cloud database two all are provided with the login customer end simultaneously, make things convenient for relevant staff to utilize this software application to log in cloud database one or cloud database two to look over corresponding data as required on different terminal equipment, perhaps when providing relevant information for other investigation units, directly provide the login account number can.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention triggers the camera, the touch display screen and the electric guide rail through the proximity inductive switch to cause the paired cameras to transversely move for shooting, thereby conveniently shooting the faces of passers-by, a user does not need to align the faces into the identification frame on the touch display screen, when the shot face pictures are transmitted into the system through the video input module, whether the information existing in the face information database is overlapped with the face information transmitted by the video input module is judged by the comparison module, when the information is overlapped, the entrance guard is opened through the entrance guard unlocking module, for the condition that the non-permission passers pass through the entrance guard along with the permission passers, a plurality of faces are detected by the plurality of face identification modules, then the shot pictures are recorded by the screen recording module, the marking module marks the faces which cannot be identified in the video, then the faces are transmitted into the video storage library, the faces are uploaded into the cloud database by the network uploading module I, when the checking is needed, the marking data of the cloud database I are directly downloaded through the network, then the comparison system is used for assisting the police personnel in quickly positioning the corresponding areas, and maintaining the security of the suspicious security management and control system, and management and control of the strangers can be quickly checked, and control the security personnel, and management and control of the strangers;
2. according to the invention, a passer wears a mask due to some disease conditions, the face is shielded, and when the face recognition cannot be carried out, bluetooth at a mobile phone end is turned on, then the passer steps on a pressure sensing switch by feet, and the pressure sensing switch enables a power supply module of a Bluetooth recognition system to be electrified, so that the Bluetooth recognition system operates, and the operation is completed on the premise that the passer is in matched connection with Bluetooth in a face recognition machine body in advance in the normal face recognition process, so that the memory module memorizes the Bluetooth in the mobile phone carried by the passer, and when the passer cannot carry out the face recognition, the Bluetooth which is closest to the connection of the memory module is automatically connected by the Bluetooth recognition module, and then the access control unlocking module is triggered, so that the passer does not need to pass through objects such as a magnetic card and the like to increase the risk of contact with the outside, and meanwhile, the operation of the staff is avoided, and the labor cost is increased;
3. according to the invention, when a user passes through a mobile phone end Bluetooth unlocking access control, bluetooth use data are uploaded to the cloud database II, related workers can conveniently check the access control through different terminals by networking and logging in a client, a counting system in the cloud database II calculates the use times of each Bluetooth, a threshold detection module monitors whether the use times of each Bluetooth reach an upper limit, when the use times of each Bluetooth reach the upper limit, a signal is fed back to a management worker for checking, the situation that some people use other mobile phone equipment for unlocking the Bluetooth for a long time is avoided, meanwhile, when each Bluetooth is used for the first time, a date recording module records the first use time date of each Bluetooth, when the Bluetooth is used for each time later, a time calculation module calculates the use time interval of each Bluetooth, when the result calculated by the time calculation module reaches set time, the time calculation module feeds back a signal to a name selection and clearing module clears the record of the Bluetooth corresponding to a name in a statistical table, and the situation that the use times of the Bluetooth exceed the limited times and feed back are detected by the threshold detection module under the condition that the time calculation module is large, and the Bluetooth worker can conveniently use the abnormal behavior of the internal pipe of the Bluetooth for recognizing the corresponding name in the time control is controlled and recognized for multiple times is avoided.
Drawings
FIG. 1 is a schematic diagram of an overall structure of a face recognition system based on cloud data according to the present invention;
FIG. 2 is a schematic diagram of the module components of a face recognition system in the face recognition system based on cloud data according to the present invention;
FIG. 3 is a schematic diagram of the module composition of a manual Bluetooth recording system in a face recognition system based on cloud data according to the present invention;
fig. 4 is a schematic diagram of a module composition of a bluetooth recognition system in a cloud data-based face recognition system according to the present invention;
fig. 5 is a schematic diagram illustrating the module composition of a counting system in the face recognition system based on cloud data according to the present invention.
In the figure: 1. a face recognition engine body; 2. a touch display screen; 3. a proximity sensing switch; 4. a Bluetooth manual recording system; 5. a reset key switch; 6. an electric guide rail; 7. a camera; 8. a Bluetooth identification system; 9. a face recognition system; 10. bluetooth at a mobile phone end; 11. a pillar; 12. a notch opening; 13. a pressure sensitive switch; 14. a face information database; 15. a retrieval module; 16. an access unlocking module; 17. a comparison module; 18. a video input module; 19. a plurality of face recognition modules; 20. a screen recording module; 21. a deletion module; 22. a marking module; 23. a storage module; 24. a video repository; 25. a timing clearing module; 26. a backup module; 27. a first network uploading module; 28. logging in a client; 29. a first cloud database; 30. a networked system; 31. a Bluetooth matching interface; 32. a Bluetooth searching and starting module; 33. a Bluetooth matching connection module; 34. a power supply module; 35. a Bluetooth identification module; 36. a feedback module; 37. a second network uploading module; 38. a second cloud database; 39. a counting system; 40. a Bluetooth searching module; 41. a starting module; 42. a same name retrieval module; 43. an accumulation module; 44. a second network uploading module; 45. a memory module; 46. a statistical table; 47. an output module; 48. a threshold detection module; 49. a prompt module; 50. a name selection clearing module; 51. an accumulated result identification module; 52. a date recording module; 53. a time calculation module; 54. a search module; 55. a data repository; 56. a power line.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: a face recognition system based on cloud data comprises a face recognition machine body 1, wherein the face recognition machine body 1 is provided with a power line 56, and the power line 56 is used for being connected with an external power supply and supplying power for system operation; the middle position of the front end face of the face recognition machine body 1 is embedded with a touch display screen 2, the left side and the right side of the upper side of the front end face of the face recognition machine body 1 are horizontally and fixedly connected with electric guide rails 6 in pairs, the end part of the electric guide rails 6 close to the middle position of the face recognition machine body 1 is connected with a camera 7 in a sliding way, the camera 7 is electrically connected with the touch display screen 2 in a matching way, the camera 7 and the touch display screen 2 are a camera element and a display element in common face recognition equipment in the prior art, namely, a recognized face is displayed on the display equipment; the end of the electric guide rail 6 far away from the middle position of the face recognition machine body 1 is fixedly provided with a reset key switch 5, and the reset key switch 5 is electrically connected with the electric guide rail 6; the lower side of the front end face of the face recognition machine body 1 is transversely and equidistantly provided with the proximity inductive switches 3, the proximity inductive switches 3 are electrically connected with the cameras 7, the electric guide rails 6 and the starting circuits of the touch display screens 2, the face recognition machine body 1 is internally provided with the face recognition systems 9, the face recognition systems 9 are provided with two sets, the face recognition systems 9 are correspondingly and electrically connected with the cameras 7, the face recognition machine body 1 is arranged at a corresponding entrance guard device, when a person approaches, the proximity inductive switches 3 generate induction to enable the cameras 7 and the touch display screens 2 to start and operate, meanwhile, the electric guide rails 6 drive the connected cameras 7 to transversely move from the middle position to the edge position of the face recognition machine body 1, the cameras 7 can conveniently shoot the face of the user, the face of the user does not need to be aligned in the recognition frames on the touch display screens 2 by the user, the shooting range of the cameras 7 is enlarged, meanwhile, when the cameras 7 slide to the positions of the electric guide rails 6 close to the edge position of the face recognition machine body 1, the reset key switches 5 are triggered, and then the electric guide rails 6 enable the cameras 7 to slide back to reset; the face recognition system 9 comprises a video input module 18, a face information database 14, a retrieval module 15, a comparison module 17, an entrance guard unlocking module 16, a plurality of face recognition modules 19, a screen recording module 20, a storage module 23, a video storage library 24, a network uploading module I27, a cloud database I29, a networking system 30, a deletion module 21 and a marking module 22, wherein the video input module 18 is connected with the output end of the camera 7, the face information database 14 is a passing-permitted face information storage space, the retrieval module 15 is electrically connected to the face information database 14, the retrieval module 15 is used for retrieving information in the face information database 14, the comparison module 17 is electrically connected between the retrieval module 15 and the video input module 18, the comparison module 17 is used for comparing whether the retrieved information from the face information database 14 by the retrieval module 15 is overlapped with face information transmitted by the video input module 18, the unlocking module 16 is electrically connected to the comparison module 17, when the retrieved information in the face information database 14 by the retrieval module 15 is overlapped with face information, a signal is fed back to the entrance guard unlocking module 16, and the entrance guard unlocking module 16 is opened correspondingly; the multi-face recognition module 19 is electrically connected to the video input module 18, the multi-face recognition module 19 is used for recognizing a plurality of faces in the same picture, the screen recording module 20 is electrically connected to the multi-face recognition module 19 and the touch display screen 2, the storage module 23 is electrically connected between the screen recording module 20 and the video storage library 24, the marking module 22 is electrically connected to the storage module 23, the marking module 22, the storage module 23 and the screen recording module 20 are electrically connected to the comparison module 17, when a plurality of faces exist in the picture transmitted by the video input module 18, namely a plurality of persons pass through the access control at the same time, the situation mainly aims at that non-permitted persons pass through the opened access control along with permitted persons, at the moment, the multi-face recognition module 19 detects the plurality of faces, and then a feedback signal instructs the screen recording module 20 to start to shoot the picture displayed on the touch display screen 2 by the camera 7, meanwhile, the comparison module 17 compares information of a plurality of faces in the video, when the comparison result is an unidentifiable face, the comparison module 17 feeds back a signal to the marking module 22 and the storage module 23, the marking module 22 marks the unidentifiable face in the video recorded by the screen recording module 20, the storage module 23 transmits the marked video to the video repository 24, the network uploading module I27 is electrically connected between the video repository 24 and the cloud database I29, the cloud database I29 is electrically connected with the networking system 30, the networking system 30 is an information comparison system used by relevant investigators, after the storage module 23 transmits the video marked with the unidentifiable face to the video repository 24, the network uploading module I27 uploads the video data to the cloud database I29 through the network, when the verification is required, the marked data in the cloud database I29 are directly downloaded through the network, and then, the public safety is maintained by comparing through the information comparison system, and meanwhile, when corresponding events occur in the area controlled by the face recognition system 9, related investigators can rapidly investigate strangers which cannot be identified, and then perform internal investigation, so that the safety control effect is improved.
The face recognition machine body 1 is internally provided with a Bluetooth recognition system 8, the Bluetooth recognition system 8 comprises a Bluetooth recognition module 35, a Bluetooth search module 40, a Bluetooth 10 at the mobile phone end and a memory module 45, the Bluetooth search module 40 is electrically connected at the output end of the Bluetooth recognition module 35, the memory module 45 is electrically connected on the Bluetooth recognition module 35, a power module 34 is arranged on the Bluetooth recognition system 8, a support post 11 is fixedly connected to the lower side of the face recognition machine body 1, a notch 12 is formed in the lower end of the support post 11, a pressure sensing switch 13 is fixedly installed at the inner bottom of the notch 12, the pressure sensing switch 13 is electrically connected with the power module 34, a Bluetooth manual recording system 4 is arranged on the face recognition machine body 1, the Bluetooth manual recording system 4 comprises a Bluetooth matching interface 31, a Bluetooth search starting module 32 and a Bluetooth matching connection module 33, a comparison module 17 is electrically connected with the Bluetooth matching interface 31, the Bluetooth search starting module 32 is electrically connected with the Bluetooth matching interface 31 and the Bluetooth matching connection module 33, the Bluetooth matching connection module 33 is electrically connected with the Bluetooth matching interface 45, when a passer wears the mask due to some reasons, the passer is sheltered from the face, the face recognition machine body is opened, the Bluetooth end 10, the passer should turn on the pressure sensing switch 13, the Bluetooth matching interface 13, the Bluetooth recognition module 32 is turned on, the Bluetooth recognition module 13, the face recognition module 32 is turned on the face recognition module 13, the face recognition module 32, the face recognition module can be touched to display module to display the Bluetooth recognition module to display when the Bluetooth recognition module 6 is started, the Bluetooth recognition module 32 is started, the Bluetooth recognition module can be touched, the Bluetooth recognition module to display is started, the Bluetooth recognition module 32, then, the manual bluetooth recording system 4 searches for the name of the bluetooth 10 at the mobile phone end, then click the bluetooth matching connection module 33, the bluetooth matching connection module 33 enables the bluetooth 10 at the mobile phone end to be connected with the bluetooth in the human face recognition machine body 1, meanwhile, the bluetooth matching connection module 33 enables the connected bluetooth name to be fed back to the memory module 45, the memory module 45 stores the bluetooth name in a memory manner, thus, when the user cannot perform face recognition, only the portable bluetooth 10 at the mobile phone end needs to be opened, then the bluetooth searching module 40 in the started bluetooth recognition system 8 automatically searches for nearby bluetooth, then the bluetooth recognition module 35 automatically connects the bluetooth which is closest to the connected bluetooth of the memory module 45, and after connection, a signal is fed back to the unlocking module 16, so that the access unlocking module 16 opens the access door, thereby realizing face recognition prevention and rapid access control passing.
The Bluetooth identification system 8 is electrically connected with a cloud database II 38, the Bluetooth identification module 35 is electrically connected with a feedback module 36, a network uploading module II 37 is electrically connected between the feedback module 36 and the cloud database II 38, the cloud database II 38 is provided with a counting system 39, the counting system 39 comprises a statistical table 46, a same-name retrieval module 42, a starting module 41, an accumulation module 43, an output module 47, a threshold detection module 48, an accumulation result identification module 51, a date recording module 52, a time calculation module 53, a search module 54, a data storage bank 55 and a name selection clearing module II 50, the same-name retrieval module 42 is electrically connected to the statistical table 46, the starting module 41 is electrically connected between the same-name retrieval module 42 and the network uploading module II 37, the same-name retrieval module 42 is used for retrieving the same Bluetooth names in the statistical table 46, the network uploading module II 37 is electrically connected with the statistical table 46, the accumulation module 43 is electrically connected to the output end of the same-name retrieval module 42, the output module 47 is electrically connected between the statistical table 46 and the accumulation module 43, and the accumulation module 43 is used for accumulating the number of the same-name retrieved by the same-name retrieval module 42; the output module 47 is used for transmitting the accumulated result to the statistical table 46 for storage; the accumulated result identification module 51 is electrically connected to the output module 47, the accumulated result identification module 51 is used for identifying the condition that the number value after the bluetooth with the same name is accumulated is one, the date recording module 52 is electrically connected to the accumulated result identification module 51, the date recording module 52 is used for recording the date when the bluetooth with one name is used for the first time, the date recording module 52 is electrically connected to the data repository 55, and the date recording module 52 stores the time and date when each bluetooth is used for the first time in the data repository 55 for recording; the time calculation module 53 is electrically connected to the output module 47, the search module 54 is electrically connected between the time calculation module 53 and the data repository 55, and meanwhile, the name selection clearing module two 50 is electrically connected between the time calculation module 53 and the statistical table 46, and the name selection clearing module two 50 is used for clearing away the bluetooth with the same name which exceeds the corresponding recording times; the threshold detection module 48 is electrically connected to the output module 47, the threshold detection module 48 is used for detecting whether the number of times of using bluetooth with corresponding names exceeds a corresponding limit value, each time a user unlocks the entrance guard for passing through the mobile phone end bluetooth 10, the bluetooth identification module 35 feeds back the used bluetooth name through the feedback module 36, so that the bluetooth name is transmitted to the counting system 39 in the cloud database two 38 through the network uploading module two 37, that is, the currently used bluetooth name is stored in the statistical table 46, meanwhile, the network uploading module two 37 causes the starting module 41 to start the same name retrieval module 42, the same name retrieval module 42 retrieves the same bluetooth name currently stored in the statistical table 46, and then the number of times of storing, that is, the number of times of using the same bluetooth table, is accumulated and calculated by the accumulation module 43, and then the bluetooth name is output and stored in the statistical table 46 through the output module 47, the threshold detection module 48 monitors whether the number of times of using each bluetooth reaches an upper limit, when the number of times of using each bluetooth reaches the upper limit, a signal is fed back to a management worker for checking, so as to prevent some people from using other mobile phone devices for a long time to unlock the bluetooth, the accumulated result identification module 51 identifies the accumulated value, when each bluetooth is used for the first time, the accumulated result identification module 51 identifies the bluetooth, then the signal is fed back to the date recording module 52, the date recording module 52 records the date and time of the first use of each bluetooth and then stores the date and time in the data repository 55, the time calculation module 53 calculates the time interval between the date and the date of the first use of each bluetooth, which are stored in the data repository 55, and when the result calculated by the time calculation module 53 reaches a set time, the time calculation module 53 feeds back a signal to the name selection and removal module 50, and the name selection and removal module 50 removes the bluetooth records corresponding to the names in the statistical table 46, so as to avoid the threshold detection module 48 from detecting that the number of times of bluetooth usage exceeds the limited number of times and feeding back the bluetooth records, thereby facilitating the control of abnormal behavior of bluetooth recognition by multiple uses within the corresponding time by the staff.
The threshold detection module 48 is electrically connected with a prompt module 49, when the threshold detection module 48 detects that the number of times of use of the corresponding bluetooth exceeds the set number of times, a signal is fed back to the prompt module 49, and the prompt module 49 sends an alarm to a receiving terminal of the corresponding staff through a network.
The first cloud database 29 and the second cloud database 38 are both provided with login clients 28, and the login clients 28 are software applications, so that related workers can conveniently log in the first cloud database 29 or the second cloud database 38 to check corresponding data on different terminal devices according to needs by using the software applications.
The video repository 24 is electrically connected with a timing clearing module 25, a backup module 26 is electrically connected between the video repository 24 and a first network uploading module 27, when the marked face video is transmitted into the video repository 24, the backup module 26 backs up the video data in the video repository 24 and transmits the video data to a first cloud database 29, and meanwhile, the timing clearing module 25 clears the data in the video repository 24, so that the situation that the video repository 24 is full of videos after being used for a long time and the use is affected is avoided.
Face identification organism 1 sets storage battery, conveniently uses when external power can't supply power.
An operation method of a face recognition system based on cloud data comprises the following specific steps:
firstly, when a person approaches the face recognition machine body 1, the approach induction switch 3 generates induction to enable the camera 7 and the touch display screen 2 to start operation, and meanwhile, the electric guide rail 6 drives the connected camera 7 to transversely move from the middle position to the edge position of the face recognition machine body 1, so that the camera 7 is convenient to shoot the face of the user, the user does not need to align the face to the recognition frame on the touch display screen 2, the shooting range of the camera 7 is enlarged, the face information database 14 in the face recognition system 9 is a storage space of face information of the person who permits the passage, when the camera 7 transmits the shot face picture to the system through the video input module 18, the retrieval module 15 retrieves the information in the face information database 14, then the comparison module 17 compares whether the information retrieved from the face information database 14 by the retrieval module 15 is overlapped with the face information transmitted by the video input module 18, when the information is overlapped, a signal is fed back to the entrance guard unlocking module 16, the entrance guard unlocking module 16 opens the corresponding entrance guard to realize passing, when a plurality of faces exist in the picture transmitted by the video input module 18, namely a plurality of persons pass through the entrance guard at the same time, the situation mainly aims at that non-permitted persons pass through the opened entrance guard along with permitted persons, at the moment, the plurality of face recognition modules 19 detect the plurality of faces, then the feedback signal instructs the screen recording module 20 to start to record the picture shot and displayed on the touch display screen 2 by the camera 7, and the comparison module 17 compares the information of the plurality of faces in the video, when the comparison is the unrecognizable faces, the comparison module 17 feeds back the signal to the marking module 22 and the storage module 23, the marking module 22 marks faces which cannot be identified in videos recorded by the screen recording module 20, the storage module 23 transmits the marked videos into the video storage library 24, the first network uploading module 27 uploads the video data into the first cloud database 29 through the network, when the videos need to be checked, the marked data stored in the first cloud database 29 are directly downloaded through the network, and then comparison is performed through the information comparison system, so that public safety is maintained, and meanwhile when corresponding events occur in a control area of the face recognition system 9, relevant investigators can rapidly investigate strangers which cannot be identified, internal investigation is performed, and safety control effects are improved;
in the second step of face recognition operation, the comparison module 17 generates a response to display the bluetooth matching interface 31 on the touch display screen 2, then the bluetooth search starting module 32 is clicked, meanwhile, the mobile phone end bluetooth 10 is opened, the bluetooth manual recording system 4 searches the name of the mobile phone end bluetooth 10, then the bluetooth matching connection module 33 is clicked, the bluetooth matching connection module 33 enables the mobile phone end bluetooth 10 to be connected with the bluetooth in the face recognition machine body 1, meanwhile, the bluetooth matching connection module 33 enables the connected bluetooth name to be fed back to the memory module 45, the memory module 45 stores the name in a memory manner, when a passer wears a mask due to some illness conditions, the face is shielded and the face recognition cannot be performed, the bluetooth 10 at the mobile phone end is opened, then the passer steps on the pressure sensing switch 13 with feet, the pressure sensing switch 13 enables the power supply module 34 of the bluetooth recognition system 8 to be powered on, the bluetooth recognition system 8 is operated, then the bluetooth search module 40 starts to search, then the bluetooth recognition module 35 automatically connects the nearest bluetooth module 45 after being connected, the bluetooth matching interface is opened, the entrance guard 16 is unlocked and the entrance guard is unlocked quickly;
thirdly, every time a user unlocks the entrance guard to pass through the mobile phone end Bluetooth 10, the Bluetooth identification module 35 feeds back a used Bluetooth name through the feedback module 36, the used Bluetooth name is transmitted to the counting system 39 in the cloud database 38 through the network uploading module two 37, namely, the currently used Bluetooth name is stored in the statistical table 46, meanwhile, the network uploading module two 37 causes the starting module 41 to start the same-name searching module 42, the same-name searching module 42 searches the same Bluetooth name currently stored in the statistical table 46, then the accumulating module 43 accumulates and calculates how many times the same Bluetooth has been used, and then the accumulated number of times is output and stored in the statistical table 46 through the output module 47, the threshold detection module 48 monitors whether the number of times each Bluetooth has reached the upper limit, when the upper limit is reached, a signal is fed back to a management worker for checking, the condition that some people use other mobile phone devices for bluetooth unlocking for a long time is avoided, the accumulated result identification module 51 identifies the output accumulated value, when each bluetooth is used for the first time, the accumulated result identification module 51 identifies the bluetooth, then a signal is fed back to the date recording module 52, the date recording module 52 records the date and time of the first use of each bluetooth and stores the date and time in the data repository 55, the time calculation module 53 calculates the time interval between the date of each bluetooth when used and the date of the bluetooth when used for the first time stored in the data repository 55, when the result calculated by the time calculation module 53 reaches the set time, the time calculation module 53 feeds back a signal to the name selection clearing module 50, and the name selection clearing module 50 clears the bluetooth records corresponding to the names in the statistical table 46, the threshold detection module 48 is prevented from detecting that the number of times of bluetooth usage exceeds a limited number of times and feeding back the number of times of bluetooth usage under the condition of a large time span, and therefore the abnormal behavior of the staff in the corresponding time for controlling the bluetooth usage for multiple times is facilitated, meanwhile, the login client 28 is arranged on the data stored in the first cloud data 29 and the second cloud data 38, and the corresponding data can be checked by the related staff on different terminal devices as required by using the software application to log in the first cloud data 29 or the second cloud data 38, or when related information is provided for other investigation units, the login account number can be directly provided.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (2)

1. A face recognition system based on cloud data, includes face recognition organism (1), its characterized in that: the face recognition machine is characterized in that a touch display screen (2) is installed on the face recognition machine body (1), the face recognition machine body (1) is connected with an electric guide rail (6) in pair, a camera (7) is connected onto the electric guide rail (6), the camera (7) is electrically connected with the touch display screen (2) in a matching mode, a proximity inductive switch (3) is installed on the front end face of the face recognition machine body (1), the proximity inductive switch (3) is electrically connected with the camera (7), the electric guide rail (6) and the touch display screen (2), a face recognition system (9) is installed in the face recognition machine body (1), the face recognition system (9) is electrically connected with the camera (7) in a corresponding mode, the face recognition system (9) comprises a video input module (18), a face information database (14), a retrieval module (15), a comparison module (17), an entrance guard unlocking module (16), a plurality of face recognition modules (19), a screen recording module (20), a storage module (23), a video storage module (24), a network uploading module (27), a cloud database (29), a networking system (30), a deleting module (21) and a video marking module (22), and a video input module (7), the retrieval module (15) is electrically connected to the face information database (14), the comparison module (17) is electrically connected between the retrieval module (15) and the video input module (18), the comparison module (17) is used for comparing the information retrieved by the retrieval module (15) with the face information transmitted by the video input module (18), the entrance guard unlocking module (16) is electrically connected to the comparison module (17), the multiple face recognition modules (19) are electrically connected to the video input module (18), the multiple face recognition modules (19) are used for recognizing multiple faces in the same picture, the screen recording module (20) is electrically connected to the multiple face recognition modules (19) and the touch display screen (2), the storage module (23) and the marking module (22) are electrically connected between the screen recording module (20) and the video repository (24), the network uploading module (27) is electrically connected between the video repository (24) and the cloud database (29), and the cloud database (29) is electrically connected to the networking system (30); the face recognition machine body (1) is internally loaded with a Bluetooth recognition system (8), the Bluetooth recognition system (8) comprises a Bluetooth recognition module (35), a Bluetooth search module (40), a mobile phone end Bluetooth (10) and a memory module (45), the Bluetooth search module (40) is electrically connected with the output end of the Bluetooth recognition module (35), the memory module (45) is electrically connected with the Bluetooth recognition module (35), the Bluetooth recognition system (8) is provided with a power module (34), the lower side of the face recognition machine body (1) is fixedly connected with a pillar (11), the lower end of the pillar (11) is provided with a notch (12), a pressure sensing switch (13) is fixedly arranged at the inner bottom of the notch (12), the pressure sensing switch (13) is electrically connected with the power module (34), the face recognition machine body (1) is provided with a Bluetooth manual recording system (4), the Bluetooth manual recording system (4) comprises a Bluetooth matching interface (31), a Bluetooth search starting module (32) and a Bluetooth matching connecting module (33), the comparison module (17) is electrically connected with the Bluetooth matching interface (31), the Bluetooth searching module (32) is electrically connected with the Bluetooth module (33), the Bluetooth matching connection module (33) is electrically connected with the memory module (45), and the memory module (45) is used for recording the connected Bluetooth; the Bluetooth identification system (8) is electrically connected with a second cloud database (38), the Bluetooth identification module (35) is electrically connected with a feedback module (36), a second network uploading module (37) is electrically connected between the feedback module (36) and the second cloud database (38), the second cloud database (38) is provided with a counting system (39), the counting system (39) comprises a statistical form (46), a same-name retrieval module (42), a starting module (41), an accumulation module (43), an output module (47), a threshold detection module (48), an accumulation result identification module (51), a date recording module (52), a time calculation module (53), a search module (54), a data (55) and a second name selection clearing module (50), the same-name retrieval module (42) is electrically connected to the statistical form (46), the starting module (41) is electrically connected between the same-name retrieval module (42) and the second network uploading module (37), the same-name retrieval module (42) is used for retrieving the same Bluetooth names in the statistical form (46), the network uploading names of the same-name retrieval module (37), the network uploading module (37) is electrically connected to the statistical form (43), and the statistical form (42) are electrically connected to the statistical storage module (43), the output module (47) is electrically connected between the statistical table (46) and the accumulation module (43), and the accumulation module (43) is used for accumulating the number of the Bluetooth with the same name searched by the same name searching module (42); the accumulated result identification module (51) is electrically connected to the output module (47), the accumulated result identification module (51) is used for identifying the condition that the quantity value after the bluetooth with the same name is accumulated is one, the date recording module (52) is electrically connected to the accumulated result identification module (51), the date recording module (52) is used for recording the date when the bluetooth with one name is used for the first time, the date recording module (52) is electrically connected to the data storage library (55), and the date recording module (52) stores the time and date when each bluetooth is used for the first time in the data storage library (55) for recording; the time calculation module (53) is electrically connected to the output module (47), a search module (54) is electrically connected between the time calculation module (53) and the data storage bank (55), a name selection and removal module II (50) is electrically connected between the time calculation module (53) and the statistical table (46), and the name selection and removal module II (50) is used for removing the Bluetooth with the same name which exceeds the corresponding recording times; the threshold detection module (48) is electrically connected to the output module (47), and the threshold detection module (48) is used for detecting whether the number of times of Bluetooth use of the corresponding name exceeds a corresponding limit value; the threshold detection module (48) is electrically connected with a prompt module (49); the cloud database I (29) and the cloud database II (38) are both provided with login clients (28), and the login clients (28) are software applications; the video repository (24) is electrically connected with a timing clearing module (25), a backup module (26) is electrically connected between the video repository (24) and the network uploading module I (27), the backup module (26) backs up video data in the video repository (24), and the timing clearing module (25) clears data in the video repository (24); the face recognition machine body (1) is provided with a storage battery pack.
2. The operation method of the cloud data-based face recognition system according to claim 1, comprising the following specific steps:
when a person approaches the face recognition machine body (1), the approach induction switch (3) induces the face recognition machine body to enable the camera (7) and the touch display screen (2) to start to operate, meanwhile, the electric guide rail (6) drives the connected camera (7) to transversely move from the middle position to the edge position of the face recognition machine body (1), the camera (7) is convenient to shoot the face of the user, the user does not need to aim the face at the recognition frame on the touch display screen (2), the shooting range of the camera (7) is simultaneously enlarged, the face information database (14) in the face recognition system (9) is a storage space of face information of the person who is allowed to pass, when the camera (7) transmits the shot face pictures into the system through the video input module (18), the retrieval module (15) retrieves the face information in the face information database (14), then the comparison module (17) compares whether the retrieved information in the retrieval module (15) is overlapped with the video input module (18) in the face information database (14) or not, when the face information retrieved by the camera (7) is transmitted into the system through the video input module (18), when a plurality of face information database (16) is overlapped, the face information, when the access control module (16) is unlocked, and the access control module is opened, and when a plurality of the face information is overlapped, the access control module (16) is convenient to unlock information, and the access control module is convenient to unlock, the situation mainly aims at the situation that non-permitted passers pass through an opened door along with permitted passers, at the moment, a plurality of faces are detected by a plurality of face recognition modules (19), then a feedback signal instructs a screen recording module (20) to start to record a picture displayed on a touch display screen (2) and shot by a camera (7), a comparison module (17) compares information of the faces in a video, when the comparison result is that the faces cannot be recognized, the comparison module (17) feeds back a signal to a marking module (22) and a storage module (23), the marking module (22) marks the faces which cannot be recognized in the video recorded by the screen recording module (20), the storage module (23) transmits the marked video to a video storage library (24), then a network uploading module I (27) uploads the video data to a cloud database I (29) through a network, when checking is needed, the marked data stored in the cloud database I (29) are directly downloaded through the network, then the comparison is carried out through an information comparison system, and then the video data can be uploaded to a public security maintenance system, so that security management and control of corresponding persons can be checked, and control of persons can be quickly checked, and related security management and control persons can be carried out on corresponding persons in a public recognition area, and control system, and management and control persons can be carried out;
in the second step of the face recognition operation process, the comparison module (17) generates induction to enable a Bluetooth matching interface (31) to be displayed on the touch display screen (2), then a Bluetooth search starting module (32) is clicked, meanwhile, the Bluetooth (10) at the mobile phone end is opened, then a Bluetooth manual recording system (4) searches for the name of the Bluetooth (10) at the mobile phone end, then the Bluetooth matching connection module (33) is clicked, the Bluetooth matching connection module (33) enables the Bluetooth (10) at the mobile phone end to be connected with Bluetooth in the face recognition machine body (1), meanwhile, the Bluetooth matching connection module (33) enables the connected Bluetooth name to be fed back to a memory module (45), the memory module (45) memorizes and stores the name, thus, when a person who passes through the mask due to some illness conditions and the face is shielded and cannot recognize the face, the Bluetooth (10) at the mobile phone end is opened, then the person steps on a foot to press a pressure induction switch (13), the pressure induction switch (13) enables a Bluetooth power supply module (34) of the Bluetooth recognition system (8) to be powered on, then the Bluetooth recognition system (8) is operated, then the distance is automatically fed back to an entrance guard search module (16) after the Bluetooth automatic search module (16) is opened, and the entrance guard connection module (16) is unlocked, passing quickly;
thirdly, each time a user unlocks the entrance guard passage through the mobile phone end Bluetooth (10), the Bluetooth identification module (35) feeds back a used Bluetooth name through the feedback module (36) and transmits the Bluetooth name to the counting system (39) in the cloud database II (38) through the network uploading module II (37), namely, the currently used Bluetooth name is stored in the statistical table (46), meanwhile, the network uploading module II (37) causes the starting module (41) to start the same name retrieval module (42), the same name retrieval module (42) retrieves the same Bluetooth name currently stored in the statistical table (46), then, the accumulating module (43) is used for accumulating and calculating how many times the same Bluetooth has been used, and then the same Bluetooth name is output and stored in the statistical table (46) through the output module (47), the threshold detection module (48) monitors whether the number of times of each Bluetooth use reaches the upper limit, when the upper limit is reached, a signal is fed back to a management staff for checking, the situation that some people use the mobile phone equipment to unlock the Bluetooth is avoided, meanwhile, the accumulating identification result identification module (51) outputs a value identification result to the first time recording module (52), and records the date of each Bluetooth identification module (55) for a long time, and records the date recording module (55), the time calculation module (53) calculates the time interval between the date when each bluetooth is used and the date when the bluetooth is used for the first time stored in the data storage library (55), when the result calculated by the time calculation module (53) reaches the set time, the time calculation module (53) feeds back a signal to the name selection clearing module (50), the name selection clearing module (50) clears the bluetooth record corresponding to the name in the statistical table (46), the situation that the threshold detection module (48) detects that the number of times of using a certain bluetooth exceeds the limited number of times and feeds back the number of times under the condition that the time span is large is avoided, the abnormal behavior recognized by the working personnel who use the bluetooth for multiple times in the corresponding time is convenient to control, meanwhile, the data stored in the cloud data I (29) and the cloud database II (38) are both provided with login clients (28), and the relevant working personnel can conveniently use the software to log in the cloud database I (29) or the cloud database II (38) to check the corresponding data by using the software on different terminal devices as required, or directly provide relevant information for other investigation units.
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