CN113570767A - 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 PDFInfo
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- CN113570767A CN113570767A CN202110298360.4A CN202110298360A CN113570767A CN 113570767 A CN113570767 A CN 113570767A CN 202110298360 A CN202110298360 A CN 202110298360A CN 113570767 A CN113570767 A CN 113570767A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME 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
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual 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
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME 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
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
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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
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 for some unit entrance guards, opens the entrance guard by means of face recognition, and facilitates the passage of personnel;
the general face recognition system has the following disadvantages: the face recognition system of the general entrance guard only has the function of opening the entrance guard through facial recognition, and some foreign strangers or lawless persons often ride on the machine and pass through the entrance guard when other persons open the entrance guard by means of facial recognition, although the general entrance guard can have the watchman, people catch up to work in the morning rush hour of work, the watchman has more people, the watchman is difficult to effectively control, so the foreign persons can be easily mixed, the face recognition system of the current entrance guard can not effectively mark the passing foreign persons, the staff can not conveniently check, meanwhile, the face recognition system of the current entrance guard only has the face recognition or magnetic card induction unlocking entrance guard, under the epidemic situation, the wearer needs to wear the mask, the mask is taken down at the moment, the infection risk is increased, even if the magnetic card induction passes through, the hand can easily contact the magnetic card induction area, and the magnetic card induction zone belongs to public areas, so that the infection risk is increased, and the magnetic card induction zone 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: the utility model provides a face identification system based on cloud data, includes the face identification organism, install touch display screen on the face identification organism, the face identification organism is connected with electronic guide rail in pairs, be connected with the camera on the electronic guide rail, the camera with touch display screen cooperation electricity is connected, proximity inductive switch is installed to the preceding terminal surface of face identification organism, proximity inductive switch with camera, electronic guide rail and touch display screen electricity is connected, the loading has face identification system in the face identification organism, face identification system with the camera corresponds electrical connection, face identification system includes video input module, face information database, retrieval module, comparison module, entrance guard unblock module, many face identification modules, record screen module, storage module, video repository, network upload module one, The system comprises a first cloud database, a networking system, a deleting module and a marking module, wherein 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 and 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 first network uploading module is electrically connected between the video repository and the first cloud database, the first cloud database is electrically connected with the networking system.
Preferably, a bluetooth recognition system is loaded in the face recognition machine body, the bluetooth recognition system comprises a bluetooth recognition module, a bluetooth search module, a mobile phone end bluetooth and a memory module, the bluetooth search module is electrically connected to the output end of the bluetooth recognition module, the memory module is electrically connected to the bluetooth recognition module, a power module is provided on the bluetooth recognition system, a pillar is fixedly connected to the lower side of the face recognition machine body, a notch is formed in the lower end of the pillar, a pressure sensing switch is fixedly installed at the inner bottom of the notch and electrically connected with the power module, a bluetooth manual recording system is provided on the face recognition machine body, the bluetooth manual recording system comprises a bluetooth matching interface, a bluetooth search starting module and a bluetooth matching connection module, and the comparison module is electrically connected with the bluetooth matching interface, the Bluetooth searching and starting module is electrically connected between the Bluetooth matching interface and the Bluetooth matching and connecting module, the Bluetooth matching and connecting module is electrically connected with the memory module, and the memory module is used for recording the connected Bluetooth.
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 name in the statistical table, and the network uploading module II is electrically connected to the statistical table, the accumulation module is electrically connected with 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 Bluetooth with the same name 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:
when a passer approaches the face recognition machine body, the approach induction switch generates induction to enable the camera and the touch display screen to start operation, and the 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 the 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 permitted person face information storage space, when the camera transmits the shot face picture to the system through the video input module, the retrieval module retrieves the information in the face information database, and then the 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 or not, when the information is coincident, a signal is fed back to the entrance guard unlocking module, the entrance guard unlocking module opens the corresponding entrance guard to realize passing, when a plurality of faces exist in the picture transmitted by the video input module, namely, a plurality of persons pass through the entrance guard simultaneously, the situation mainly aims at the entrance guard that non-permitted persons pass through the opening together with permitted persons, the plurality of faces are detected by the plurality of face recognition modules, then the feedback signal instructs the screen recording module to start to record the picture shot by the camera and displayed on the touch display screen, meanwhile, the comparison module compares the information of the plurality of faces in the video, when the comparison result is the unidentifiable face, the comparison module feeds back the signal to the marking module and the storage module, the marking module marks the unidentifiable face in the video recorded by the screen recording module, and simultaneously, the storage module transmits the marked video to the video storage library, the network uploading module uploads the video data to a cloud database I through a network, when the video data needs to be checked, the tag data stored in the cloud database I is directly downloaded through the network, and then the tag data is compared through an information comparison system, so that public safety is maintained, meanwhile, when corresponding events occur in an area controlled by a face recognition system, relevant investigators can quickly investigate strangers which cannot be identified, then internal investigation 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 a touch display screen, then a Bluetooth search starting module is clicked, the Bluetooth at the mobile phone end is turned on, then a Bluetooth manual recording system searches the name of the Bluetooth at the mobile phone end, then the Bluetooth matching connection module is clicked to enable the Bluetooth at the mobile phone end to be connected with the Bluetooth in the face recognition machine body, meanwhile, the Bluetooth matching connection module enables the connected Bluetooth name to be fed back to a memory module, and the memory module stores the name in a memory mode, so that when a passer wears a mask due to some illness conditions and the face is shielded and cannot recognize the face, the Bluetooth at the mobile phone end is turned on, the passer steps on a pressure sensing switch with feet, and the pressure sensing switch enables a power supply module of the Bluetooth recognition system to be powered on, the Bluetooth identification system is enabled to operate, then the Bluetooth searching module starts searching, then the Bluetooth identification module automatically connects the Bluetooth which is connected with the memory module and is closest to the Bluetooth, and a signal is fed back to the entrance guard unlocking module after connection, so that the entrance guard unlocking module opens an entrance guard and quickly passes through the entrance guard;
thirdly, when a user unlocks the entrance guard to pass through the Bluetooth of the mobile phone end every time, the Bluetooth identification module feeds back the 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 the 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 of use of the same Bluetooth, is accumulated and calculated by the accumulation module, the number of times of use of each Bluetooth is output and stored in the statistical table through the output module, the threshold detection module monitors whether the number of times of use of each Bluetooth reaches the 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 equipment 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 facilitating the shooting of the faces of passers, avoiding the need for users 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, the comparison module is used for comparing whether the information in the face information database is overlapped with the face information transmitted by the video input module, when the information is overlapped, the entrance guard is opened through the entrance guard unlocking module, for the situation that the non-allowed passers follow the allowed passers to pass through the entrance guard together, the multiple faces are detected by the multiple face identification modules, then the shot pictures are recorded by the screen recording module, and the marking module marks the faces which can not be identified in the video and then transmits the faces into the video storage bank, the method comprises the steps that a first network uploading module is used for uploading to a first cloud database, when verification is needed, label data stored in the first cloud database are directly downloaded through a network, and then comparison is carried out through an information comparison system, so that public safety is maintained, meanwhile, when corresponding events occur in an area controlled by a face recognition system, relevant investigators can rapidly investigate strangers which cannot be recognized, then internal investigation is carried out, and the safety control effect is improved;
2. the invention opens the Bluetooth at the mobile phone end when a passer wears a mask due to some disease conditions, the face is blocked and the face recognition cannot be carried out, then the passer steps on a pressure sensing switch by feet, the pressure sensing switch enables a power module of the 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 the Bluetooth in the 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, 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, then the entrance guard unlocking module is triggered, and the passer does not need to pass by objects such as a magnetic card and the like to increase the risk of contacting with the outside, meanwhile, the arrangement of workers for operation is avoided, and the labor cost is increased;
3. when a user unlocks the entrance guard to pass through the Bluetooth at the mobile phone end, Bluetooth use data are uploaded to the second cloud database, related workers can conveniently check the entrance guard through the internet of different terminals and log in a client, a counting system in the second cloud database calculates the use frequency of each Bluetooth, a threshold detection module monitors whether the use frequency of each Bluetooth reaches an upper limit or not, when the use frequency of each Bluetooth reaches the upper limit, a signal is fed back to a management worker for checking, the situation that some people use mobile phone equipment of other people for a long time to unlock the Bluetooth is avoided, meanwhile, when each Bluetooth is used for the first time, a date recording module records the time and date of the first use of each Bluetooth, when the Bluetooth is used for each time later, a time calculation module calculates the time interval of each Bluetooth use, and when the result calculated by the time calculation module reaches the set time, the time calculation module feeds back a signal to the name selection clearing module, the name selection clearing module clears the Bluetooth records of the corresponding names in the statistical table, the threshold detection module is prevented from detecting that the use times of a certain Bluetooth exceed the limited times and feeding back the certain Bluetooth record under the condition of large time span, and the abnormal behavior of the Bluetooth recognition of repeated use by a worker in the corresponding time is conveniently controlled by the worker.
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 the module composition of a Bluetooth recognition system in a face recognition system based on cloud data 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 rail; 7. a camera; 8. a Bluetooth identification system; 9. a face recognition system; 10. bluetooth at the 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. counting a 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 provided with the proximity inductive switches 3 at equal intervals, the proximity inductive switches 3 are electrically connected with the camera 7, the electric guide rail 6 and the starting circuit of the touch display screen 2, the face recognition machine body 1 is internally provided with the face recognition system 9, the face recognition system 9 has two sets, the face recognition system 9 is correspondingly and electrically connected with the camera 7, the face recognition machine body 1 is arranged at a corresponding entrance guard device, when a person approaches, the proximity inductive switch 3 generates induction to enable the camera 7 and the touch display screen 2 to start and 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 align the face to the recognition frame on the touch display screen 2, and the shooting range of the camera 7 is enlarged at the same time, meanwhile, when the camera 7 slides to the position where the electric guide rail 6 is close to the edge of the face recognition machine body 1, the reset key switch 5 is triggered, and then the electric guide rail 6 causes the camera 7 to slide back and 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 multi-face recognition module 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 person 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 information retrieved from the face information database 14 by the retrieval module 15 is overlapped with face information transmitted by the video input module 18, the access control unlocking module 16 is electrically connected to the comparison module 17, when the comparison module 17 compares the shot human face with the coincidence information in the human face information database 14, a signal is fed back to the access control unlocking module 16, and the access control unlocking module 16 opens the corresponding access control to realize passing; 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 that the faces cannot be identified, the comparison module 17 feeds back signals to the marking module 22 and the storage module 23, the marking module 22 marks the faces which cannot be identified 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 related investigators, after the storage module 23 transmits the video marked with the faces which cannot be identified to the video repository 24, the network uploading module I27 uploads the video data to the cloud database I29 through the network, and when the checking is required, the marked data stored in the cloud database I29 is 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, relevant investigators can rapidly investigate strangers which cannot be identified, and then perform internal investigation, so that the safety control effect is improved.
The human 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 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 human face recognition machine body 1 is fixedly connected with a support post 11, the lower end of the support post 11 is provided with a notch 12, the inner bottom of the notch 12 is fixedly provided with a pressure sensing switch 13, the pressure sensing switch 13 is electrically connected with the power module 34, the human 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 connection module 33, and the comparison module 17 is electrically connected with the Bluetooth matching interface 31, the Bluetooth searching 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 memory module 45, when a passer wears a mask due to some illness and the face is shielded, the Bluetooth 10 at the mobile phone end is turned on, then the passer steps on the pressure sensing switch 13 with feet, the pressure sensing switch 13 enables the power module 34 of the Bluetooth recognition system 8 to be electrified, so that the Bluetooth recognition system 8 operates, then the Bluetooth searching module 40 starts searching, and the operation is completed, the user can perform face recognition in advance, in the process of face recognition operation, the comparison module 17 generates induction to enable the Bluetooth matching interface 31 to be displayed on the touch display screen 2, then clicks the Bluetooth searching starting module 32, and simultaneously the Bluetooth 10 at the mobile phone end is turned on, the manual bluetooth recording system 4 searches 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 connects the bluetooth 10 at the mobile phone end with the bluetooth in the face recognition machine body 1, meanwhile, the bluetooth matching connection module 33 feeds the connected bluetooth name back to the memory module 45, the memory module 45 stores the bluetooth name in memory, thus when the user can not recognize the face, only the mobile phone end bluetooth 10 carried about is needed to be opened, then the bluetooth searching module 40 in the started bluetooth recognition system 8 automatically searches 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 door access unlocking module 16 opens the door access to realize the face recognition prevention, and (4) passing quickly.
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 on 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 name in the statistical table 46, and the network uploading module II 37 is electrically connected with the statistical table 46, the accumulation module 43 is electrically connected with 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 Bluetooth with 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 bluetooth usage corresponding to a name exceeds a corresponding limit value, each time a user unlocks an entrance guard for passage 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 used bluetooth name is transmitted to the counting system 39 in the cloud database two 38 through the network upload module two 37, that is, the currently used bluetooth name is stored in the statistical table 46, meanwhile, the network upload module two 37 causes the start 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 storage, that is, the number of times that the same bluetooth has been used, is accumulated by the accumulation module 43 and then 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 clearing module 50, and the name selection clearing module 50 clears 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 number of times of bluetooth usage under the condition of a large time span, thereby facilitating the control of abnormal behavior of bluetooth recognition by a worker in the corresponding time.
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, the login clients 28 are software applications, and 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.
The face recognition machine body 1 is provided with a storage battery pack, and is convenient to use when an external power supply cannot supply power.
An operation method of a face recognition system based on cloud data comprises the following specific steps:
when a person who passes through the face recognition machine body 1 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, 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 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 passes through, when the shot face picture is transmitted into the system through the video input module 18 by the camera 7, the retrieval module 15 retrieves the information in the face information database 14, and then the comparison module 17 compares whether the information retrieved from the face information database 14 by the retrieval module 15 has the information transmitted by the video input module 18 or not Face information is overlapped, 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 simultaneously, the situation mainly aims at the situation that non-permitted persons pass through the opened entrance guard together with permitted persons, at the moment, the plurality of faces are detected by the plurality of face recognition modules 19, 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, meanwhile, the comparison module 17 compares the information of the plurality of faces in the video, when the comparison result is the unidentifiable face, the comparison module 17 feeds back the 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, meanwhile, the storage module 23 transmits the marked video to the video storage library 24, then the network uploading module 27 uploads the video data to the cloud database 29 through the network, when the video data needs to be checked, the marked data stored in the cloud database 29 are directly downloaded through the network, and then the marked data are compared through the information comparison system, so that public safety is maintained, and meanwhile, when corresponding events occur in an area controlled by the face recognition system 9, relevant investigators can rapidly investigate strangers which cannot be identified, then internal investigation is performed, and the safety control effect is 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 clicks the bluetooth search starting module 32, and simultaneously turns on the mobile phone end bluetooth 10, the bluetooth manual recording system 4 searches the name of the mobile phone end bluetooth 10, then by clicking the bluetooth matching connection module 33, the bluetooth matching connection module 33 connects the mobile phone end bluetooth 10 with the bluetooth in the face recognition machine body 1, and simultaneously the bluetooth matching connection module 33 feeds the connected bluetooth name back to the memory module 45, the memory module 45 memorizes and stores the name, so that when the expert wears the mask due to some illness conditions, the face is blocked, and the expert cannot recognize the face, the bluetooth 10 at the mobile phone end is turned on, then the expert steps on the pressure sensing switch 13 with feet, and the pressure sensing switch 13 powers on the power supply module 34 of the bluetooth recognition system 8, the Bluetooth identification system 8 is enabled to operate, then the Bluetooth searching module 40 starts searching, then the Bluetooth identification module 35 automatically connects the Bluetooth which is connected with the memory module 45 and is closest to the Bluetooth, and after connection, a signal is fed back to the entrance guard unlocking module 16, so that the entrance guard unlocking module 16 opens an entrance guard and quickly passes through the entrance guard;
thirdly, when a user unlocks the entrance guard to pass through the mobile phone end Bluetooth 10 every time, the Bluetooth identification module 35 feeds back the 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 retrieval module 42, the same-name retrieval module 42 retrieves the same Bluetooth name currently stored in the statistical table 46, then the accumulated number of times, namely the number of times that the same Bluetooth has been used, is calculated by the accumulation module 43, and then the stored number of times is output into the statistical table 46 through the output module 47, and the threshold detection module 48 monitors whether the number of times that each Bluetooth has been used reaches the upper limit or not, and feeds back a signal to a management worker when the upper limit is reached, checking is carried out to avoid the situation that some people use other mobile phone devices for bluetooth unlocking for a long time, the accumulated result identification module 51 identifies the output accumulated numerical 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 of the first use of each bluetooth and stores the date in the data repository 55, the time calculation module 53 carries out time interval calculation on 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 (8)
1. The utility model provides a face identification system based on cloud data, includes face identification organism (1), its characterized in that: install touch display screen (2) on face identification organism (1), face identification organism (1) is connected with electronic guide rail (6) in pairs, be connected with camera (7) on electronic guide rail (6), camera (7) with touch display screen (2) cooperation electricity is connected, the preceding terminal surface of face identification organism (1) is installed and is approached inductive switch (3), approach inductive switch (3) with camera (7), electronic guide rail (6) and touch display screen (2) electricity is connected, face identification system (9) is loaded in face identification organism (1), face identification system (9) with camera (7) correspond the electricity and are connected, face identification system (9) include video input module (18), face information database (14), retrieval module (15), The system comprises 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 I (27), a cloud database I (29), a networking system (30), a deleting module (21) and a marking module (22), wherein a video input module (18) is connected with a camera (7), a retrieval module (15) is electrically connected on 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 face information retrieved by the retrieval module (15) and transmitted by the video input module (18), the entrance guard unlocking module (16) is electrically connected on the comparison module (17), the plurality of face recognition modules (19) are electrically connected on 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 with the multi-face recognition module (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 first network uploading module (27) is electrically connected between the video repository (24) and the first cloud database (29), and the first cloud database (29) is electrically connected with the networking system (30).
2. The cloud data based face recognition system of claim 1, wherein: 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 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 supply module (34), the lower side of the face recognition machine body (1) is fixedly connected with a strut (11), the lower end of the strut (11) is provided with a notch (12), the inner bottom of the notch (12) is fixedly provided with a pressure sensing switch (13), the pressure sensing switch (13) is electrically connected with the power supply module (34), and the face recognition machine body (1) is provided with a Bluetooth manual recording system (4), manual record system of bluetooth (4) include bluetooth match interface (31), bluetooth search start module (32) and bluetooth match connection module (33), compare module (17) with bluetooth match interface (31) electricity is connected, bluetooth search start module (32) electricity is connected bluetooth match interface (31) with between bluetooth match connection module (33), bluetooth match connection module (33) with memory module (45) electricity is connected, and memory module (45) are used for the bluetooth that the record was connected.
3. The cloud data based face recognition system of claim 2, wherein: 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 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 storage library (55) and a name selection clearing module II (50), and 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 name in a statistical table (46), the second network uploading module (37) is electrically connected with the statistical table (46), the accumulating module (43) is electrically connected at the output end of the same-name retrieval module (42), the output module (47) is electrically connected between the statistical table (46) and the accumulating module (43), and the accumulating module (43) is used for accumulating the Bluetooth number of the same name retrieved by the same-name retrieval module (42); the accumulation result identification module (51) is electrically connected to the output module (47), the accumulation result identification module (51) is used for identifying the condition that the quantity value accumulated by the Bluetooth with the same name is one, the date recording module (52) is electrically connected to the accumulation 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 library (55), a name selection clearing module II (50) is electrically connected between the time calculation module (53) and the statistical table (46), and the name selection clearing module II (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), 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.
4. The cloud data based face recognition system of claim 3, wherein: the threshold detection module (48) is electrically connected with a prompt module (49).
5. A cloud data based face recognition system according to claim 1 or 3, wherein: and 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.
6. The cloud data based face recognition system of claim 1, wherein: 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).
7. The cloud data based face recognition system of claim 1, wherein: the face recognition machine body (1) is provided with a storage battery pack.
8. The operation method of the cloud data based face recognition system according to claims 1 to 7, characterized by comprising the following specific steps:
the first step is that the face recognition machine body (1) is matched with an entrance guard device for use, when a passer approaches the face recognition machine body (1), a proximity inductive switch (3) generates induction to enable a camera (7) and a touch display screen (2) to start operation, meanwhile, an 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 align the face to an identification frame on the touch display screen (2) by himself, meanwhile, the shooting range of the camera (7) is enlarged, a face information database (14) in the face recognition system (9) is a storage space of face information of the person permitted to pass, when the camera (7) transmits the shot face picture to the system through a video input module (18), a retrieval module (15) retrieves information in the face information database (14), then a comparison module (17) compares whether the information retrieved by a retrieval module (15) from a face information database (14) is overlapped with face information transmitted by a video input module (18), when the information is overlapped, a signal is fed back to an entrance guard unlocking module (16), the entrance guard unlocking module (16) opens a corresponding entrance guard to realize passing, when a plurality of faces exist in a picture transmitted by the video input module (18), namely a plurality of persons pass through the entrance guard simultaneously, the situation mainly aims at that non-permitted persons pass through the opened entrance guard along with permitted persons, 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 shot by a camera (7) and displayed on a touch display screen (2), and simultaneously the comparison module (17) compares the information of the plurality of faces in the video, when the comparison result is that the human faces cannot be identified, the comparison module (17) feeds back signals to the marking module (22) and the storage module (23), the marking module (22) marks the human faces which cannot be identified in the video recorded by the screen recording module (20), the storage module (23) transmits the marked video to the video storage library (24), the network uploading module I (27) uploads the video data to the cloud database I (29) through the network, when the verification is required, the marked data stored in the cloud database I (29) is directly downloaded through the network, and then the comparison is carried out through the information comparison system, so that public safety is maintained, and when corresponding events occur in an area controlled by the human face identification system (9), related investigators can rapidly investigate strangers which cannot be identified and then carry out internal investigation, the safety control effect is improved;
in the second step of face recognition operation, the comparison module (17) generates induction to enable a Bluetooth matching interface (31) to be displayed on the touch display screen (2), then the Bluetooth search starting module (32) is clicked, meanwhile, the mobile phone end Bluetooth (10) is opened, then the manual Bluetooth recording system (4) searches for the name of the mobile phone end Bluetooth (10), then the Bluetooth matching connection module (33) is clicked to enable the mobile phone end Bluetooth (10) 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 the memory module (45), the memory module (45) stores the Bluetooth name in a memory mode, and therefore when a person who is in communication wears a mask due to some illness conditions, the face is shielded, and the face recognition cannot be carried out, the mobile phone end Bluetooth (10) is opened, then, a passer steps on the pressure sensing switch (13) by feet, the pressure sensing switch (13) enables the power module (34) of the Bluetooth identification system (8) to be electrified, so that the Bluetooth identification system (8) runs, then the Bluetooth searching module (40) starts to search, then the Bluetooth identification module (35) automatically connects the Bluetooth which is connected with the memory module (45) and is closest to the Bluetooth, and after connection, a signal is fed back to the entrance guard unlocking module (16), so that the entrance guard unlocking module (16) opens an entrance guard and quickly passes through the entrance guard;
thirdly, when a user unlocks the entrance guard to pass through the mobile phone end Bluetooth (10) every time, the Bluetooth identification module (35) feeds back the 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), and then the accumulated number of times, namely the number of times that the same Bluetooth has been used is calculated by the accumulation module (43) in an accumulated mode, and then the same Bluetooth is output and stored in the statistical table (46) through the output module (47), and the threshold detection module (48) monitors whether the number of times that each Bluetooth is used reaches the upper limit or not, when the upper limit is reached, a signal is fed back to a management worker for checking to avoid the situation that some people use other mobile phone equipment for a long time to unlock the Bluetooth, an accumulation result identification module (51) identifies the output accumulation numerical value, when each Bluetooth is used for the first time, the accumulation result identification module (51) identifies the Bluetooth, then the signal is fed back to a date recording module (52), the date recording module (52) records the date of the first use of each Bluetooth and then stores the date in a data storage bank (55), a time calculation module (53) 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 bank (55), and when the result calculated by the time calculation module (53) reaches the set time, the time calculation module (53) feeds back the signal to a name selection clearing module (50), the name selecting and clearing module (50) clears the Bluetooth records corresponding to the names in the statistical table (46), the situation that the threshold value detection module (48) detects that the number of times of use of a certain Bluetooth exceeds the limited number of times and feeds back the number of times of use of the certain Bluetooth under the condition of large time span is avoided, workers can conveniently control abnormal behaviors of multiple-use Bluetooth recognition within the corresponding time, meanwhile, the data stored in the cloud data I (29) and the data stored in the cloud database II (38) are provided with login clients (28), and the related workers can conveniently log in the cloud database I (29) or the cloud database II (38) to check the corresponding data by using the software application on different terminal devices according to needs, or when related information is provided for other investigation units, login accounts can be directly provided.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114333132A (en) * | 2021-12-07 | 2022-04-12 | 浙江省邮电工程建设有限公司 | Wisdom scenic spot management equipment based on thing networking |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001262891A (en) * | 2000-03-21 | 2001-09-26 | Mitsubishi Electric Corp | Vehicle key system |
| CN202854555U (en) * | 2012-10-24 | 2013-04-03 | 浙江开控电气有限公司 | Wireless foot switch |
| CN104167033A (en) * | 2014-06-17 | 2014-11-26 | 吴志毅 | Intelligent electronic lock system based on mobile phone, voice and short message control, and control method |
| CN106023373A (en) * | 2016-05-23 | 2016-10-12 | 三峡大学 | Big data and human face identification based access control system for school dormitory |
| CN106121365A (en) * | 2016-06-23 | 2016-11-16 | 王公民 | A kind of Multifunctional household intelligent safety lock and method of work thereof |
| CN206224642U (en) * | 2016-11-15 | 2017-06-06 | 深圳市麦斯杰网络有限公司 | Access controller circuit and gate control system |
| CN107945344A (en) * | 2017-12-06 | 2018-04-20 | 四川住易物联科技有限公司 | Internet visible intercom door inhibition |
| CN109935071A (en) * | 2019-04-02 | 2019-06-25 | 中国科学院长春光学精密机械与物理研究所 | A kind of bluetooth floor push and electronic equipment |
| CN111080875A (en) * | 2019-11-01 | 2020-04-28 | 广州博湖安全科技有限公司 | Multifunctional intelligent security entrance guard management system |
| CN211857580U (en) * | 2020-04-23 | 2020-11-03 | 河南友邻广告有限公司 | Convenient multi-functional entrance guard's device of passing |
| CN112509189A (en) * | 2020-12-19 | 2021-03-16 | 雷楚 | Automatic-discrimination intelligent lock Internet of things system and discrimination method thereof |
-
2021
- 2021-03-19 CN CN202110298360.4A patent/CN113570767B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001262891A (en) * | 2000-03-21 | 2001-09-26 | Mitsubishi Electric Corp | Vehicle key system |
| CN202854555U (en) * | 2012-10-24 | 2013-04-03 | 浙江开控电气有限公司 | Wireless foot switch |
| CN104167033A (en) * | 2014-06-17 | 2014-11-26 | 吴志毅 | Intelligent electronic lock system based on mobile phone, voice and short message control, and control method |
| CN106023373A (en) * | 2016-05-23 | 2016-10-12 | 三峡大学 | Big data and human face identification based access control system for school dormitory |
| CN106121365A (en) * | 2016-06-23 | 2016-11-16 | 王公民 | A kind of Multifunctional household intelligent safety lock and method of work thereof |
| CN206224642U (en) * | 2016-11-15 | 2017-06-06 | 深圳市麦斯杰网络有限公司 | Access controller circuit and gate control system |
| CN107945344A (en) * | 2017-12-06 | 2018-04-20 | 四川住易物联科技有限公司 | Internet visible intercom door inhibition |
| CN109935071A (en) * | 2019-04-02 | 2019-06-25 | 中国科学院长春光学精密机械与物理研究所 | A kind of bluetooth floor push and electronic equipment |
| CN111080875A (en) * | 2019-11-01 | 2020-04-28 | 广州博湖安全科技有限公司 | Multifunctional intelligent security entrance guard management system |
| CN211857580U (en) * | 2020-04-23 | 2020-11-03 | 河南友邻广告有限公司 | Convenient multi-functional entrance guard's device of passing |
| CN112509189A (en) * | 2020-12-19 | 2021-03-16 | 雷楚 | Automatic-discrimination intelligent lock Internet of things system and discrimination method thereof |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114333132A (en) * | 2021-12-07 | 2022-04-12 | 浙江省邮电工程建设有限公司 | Wisdom scenic spot management equipment based on thing networking |
| CN114333132B (en) * | 2021-12-07 | 2023-11-21 | 浙江省邮电工程建设有限公司 | Intelligent scenic spot management equipment based on internet of things |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113570767B (en) | 2022-12-13 |
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