CN111739228A - Face recognition security system based on Internet of things and operation method - Google Patents
Face recognition security system based on Internet of things and operation method Download PDFInfo
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- CN111739228A CN111739228A CN201910737273.7A CN201910737273A CN111739228A CN 111739228 A CN111739228 A CN 111739228A CN 201910737273 A CN201910737273 A CN 201910737273A CN 111739228 A CN111739228 A CN 111739228A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/10—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
- G07F17/12—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
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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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00658—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by passive electrical keys
Abstract
The invention discloses a face recognition security system based on the Internet of things and an operation method thereof, wherein the security system comprises a plurality of face recognition security cabinets based on the Internet of things, a cloud server terminal and an operation control terminal, and the face recognition security cabinet comprises: the control cabinet comprises a control cabinet body and a plurality of storage drawers which are arranged along the transverse direction and the longitudinal direction; the control cabinet body is provided with an intelligent electric control lock controller, an RFID reader-writer, face recognition equipment and a router, and each storage drawer is provided with an intelligent electric control lock and an RFID antenna and used for storing a seal with an RFID electronic tag; the intelligent electric control lock is electrically connected with the intelligent electric control lock controller; the intelligent electric control lock controller is electrically connected with the face recognition equipment; the RFID antenna is electrically connected with the RFID reader-writer; the RFID reader-writer and the face recognition device are electrically connected with the router, and the router is connected with the cloud server end through a network. The invention also comprises an operation method of the face recognition security system based on the Internet of things, which comprises the following steps of 1: collecting face characteristic values, and step 2: the operation end applies for identification, and step 3: and identifying and operating the security cabinet.
Description
Technical Field
The invention relates to the technical field of security, in particular to a face recognition security system based on the Internet of things and an operation method.
Background
At present, a face recognition mode for a security cabinet is to store a plurality of face features with authority in face recognition equipment and compare the face features with the authority in real time. Because the face recognition equipment stores a plurality of real face features, the safety is low, face feature data are easy to steal, and face feature data in the equipment are deleted or replaced, so that legal personnel cannot be recognized by the face recognition equipment.
The face recognition equipment is lack of flexibility and expansibility in use, when the equipment is replaced due to failure, all face feature data in the equipment need to be collected again, and the productivity efficiency is seriously influenced because the timeliness of data collection is uncertain; the face features collected by the face recognition equipment can only be used for personnel recognition of the equipment, and cross-equipment recognition cannot be carried out. If personnel change, repeated adding, modifying or deleting operations need to be carried out in a plurality of devices, so that the operation is complicated and the efficiency is low.
When the data stored in the face recognition device is more, the comparison pressure on the device is too large, so that the comparison recognition time is longer, and the application scene requiring timeliness cannot be met.
Therefore, a face recognition security system based on the internet of things and an operation method thereof are expected to solve the problems in the prior art.
Disclosure of Invention
The face recognition technology is a multi-light-source face recognition technology based on active near-infrared images, can overcome the influence of light change, utilizes the unique physiological characteristics of the face to recognize, has the characteristics of non-mandatory property, non-contact property and concurrency, and has the advantages of simple operation, intuitive result and high concealment.
The invention discloses a face recognition security system based on the Internet of things, which comprises a plurality of face recognition security cabinets based on the Internet of things, a cloud server terminal and an operation control terminal, wherein the face recognition security cabinets comprise: the control cabinet comprises a control cabinet body and a plurality of storage drawers which are arranged along the transverse direction and the longitudinal direction; the control cabinet body is provided with an intelligent electric control lock controller, an RFID reader-writer, face recognition equipment and a router; each storage drawer is provided with an intelligent electric control lock and an RFID antenna and is used for storing 1 or more stamps with RFID electronic tags; the intelligent electric control lock is electrically connected with the intelligent electric control lock controller; the intelligent electric control lock controller is electrically connected with the face recognition equipment; the RFID antenna is electrically connected with the RFID reader-writer; the RFID reader-writer and the face recognition device are electrically connected with the router, and the router is respectively connected with the cloud server end and the operation control terminal through a network.
The invention also discloses an operation method of the face recognition security system based on the Internet of things, which comprises the following steps:
step 1: collecting face characteristic values:
uploading and storing all data of the applicant in the cloud server end through the face acquisition equipment and the operation control terminal;
step 2: the operation control terminal applies for identification:
when the applicant uses the operation control terminal to send a seal storage security cabinet unlocking request to the cloud server, the cloud server performs identity verification on the applicant, verifies whether the applicant has the authority of opening the storage drawer and the validity of the seal to be returned, if the verification is valid, the cloud server sends corresponding face data, overtime time and the selected storage drawer number to face recognition equipment of a control cabinet body of a corresponding face recognition security cabinet according to the face recognition security cabinet number selected by the applicant, and executes the step 3; if any one of the identity verification of the applicant, the opening authority of the storage drawer or the validity of the seal to be returned is invalid, the cloud server side sends error reporting information without access authority to the operation control terminal;
when the applicant uses the operation control terminal to send a seal taking security cabinet unlocking request to the cloud server, the cloud server performs identity verification on the applicant, verifies whether the applicant has the authority of opening the storage drawer and the validity of the seal to be obtained, and if the verification is valid, the cloud server sends corresponding face data, overtime time and the selected storage drawer number to face recognition equipment of a control cabinet body of a corresponding face recognition security cabinet according to the face recognition security cabinet number selected by the applicant and executes step 3; if any one of the identity verification of the applicant, the opening authority of the storage drawer or the validity of the seal is invalid, the cloud server side sends error reporting information without access authority to the operation control terminal;
and step 3: identifying and operating the security cabinet:
the face recognition device compares the face data with the applicant face data currently acquired:
when the comparison result is successful, the face recognition equipment sends an unlocking request to the intelligent electric control lock controller, and the intelligent electric control lock controller opens the corresponding intelligent electric control lock according to the selected number of the storage drawer, so that the storage drawer is opened;
the method comprises the following steps that an applicant stores a seal in a storage drawer or takes the seal out of the storage drawer and then closes the storage drawer, an intelligent electric control lock is closed and then transmits a closing signal to a cloud server side through an intelligent electric control lock controller, a face recognition device and a router, the cloud server side carries out the inventory operation of taking or returning the seal on an RFID reader-writer corresponding to the storage drawer, and the RFID reader-writer transmits the inventory operation result back to the cloud server side through the router;
when the comparison result fails, the face recognition equipment waits for the correct applicant to recognize until the comparison is overtime;
and when the comparison duration exceeds the overtime, deleting the face data in the face recognition equipment and uploading the recognition overtime information to the cloud server.
Preferably, the cloud server side in the step 3 judges the inventory operation result of the RFID reader, and if the result of the RFID reader inventorying the seal RFID electronic tag is consistent with the seal acquired or returned by the applicant, the seal is acquired or returned correctly; and if the data are inconsistent, the cloud server side records the inventory operation result and the error information.
Preferably, the applicant data in step 1 includes: name, serial number, face data, accessed face identification security cabinet number, and corresponding parameters and timeout time of the storage drawer number, seal number, face data and accessed face identification security cabinet number.
Preferably, the step 2 of verifying the validity of the identity comprises: whether the serial number of the application form is valid, whether the state of the seal is valid and whether the data of the applicant exists.
Preferably, the data of the applicant in the step 1 is encrypted and then uploaded and stored in the cloud server; and the face recognizer in the step 3 decrypts the applicant data in the step 2.
Preferably, the face acquisition device in step 1 acquires one or more face data for the same person, and selects different accessed face identification security cabinets and storage drawer numbers corresponding to the one or more face data through the operation control terminal.
Preferably, the intelligent electric control lock controller is a one-to-many controller, and step 3 opens one or a plurality of intelligent electric control locks in sequence according to an unlocking request sent by the face recognition device to the intelligent electric control lock controller.
The face recognition security system based on the Internet of things and the operation method thereof have the following beneficial effects:
1. the collected face features are stored in a cloud server, the cloud sends the face features of one person or more persons to face recognition equipment when comparison is needed, the face features are deleted without leaving any trace after the comparison is successful or overtime, so that illegal persons cannot steal, delete and replace the face features on the equipment, the safety precaution and tracking capability of a cloud data center is higher than that of the independent face recognition equipment, and the safety of the whole operation system is greatly improved;
2. when the personnel change, only data processing is needed at the cloud end, and other related face equipment does not need any operation;
3. when the face recognition equipment is used, one or more specific face feature data are sent to the face recognition equipment, and the comparison speed is greatly improved due to the fact that the number of face features to be compared is small;
4. the accuracy of the operation of the applicant is improved through the RFID electronic tag, and the misoperation of putting the wrong seal is avoided.
Drawings
Fig. 1 is a schematic diagram of a face recognition security system based on the internet of things.
FIG. 2 is a seal obtaining operation flow intention of the face recognition security system based on the Internet of things.
FIG. 3 is a seal return operation flow intention of the face recognition security system based on the Internet of things.
FIG. 4 is a structural basic diagram of a face recognition security cabinet based on the Internet of things.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be described in more detail below with reference to the accompanying drawings in the embodiments of the present invention. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are only some, but not all embodiments of the invention. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention. 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.
Example 1: the operation method of the face recognition security system based on the Internet of things comprises the following steps:
step 1: collecting face characteristic values:
uploading and storing all data of the applicant at a cloud server side through the face acquisition equipment and the client side;
step 2: the operation control terminal applies for identification:
when an applicant uses the operation control terminal to send a security cabinet unlocking request for storing a seal to the cloud server, the cloud server performs identity verification on the applicant, verifies whether the applicant has the authority of opening the storage drawer and the validity of the seal to be returned, judges whether the seal applied at present is applied by the applicant or not and whether the seal is in a using state by other people or not, if the verification is valid, the cloud server judges whether the storage drawer opened by the applicant is in a locking state or not, if the storage drawer is in the locking state, the cloud server prompts waiting information to the operation control terminal, if the storage drawer is in an idle state, the cloud server locks the storage drawer, and sends corresponding face data, overtime time and the selected storage drawer number to a corresponding face identification equipment queue according to the face identification security cabinet number selected by the applicant for waiting comparison, and executing the step 3, when the face data in the face recognition equipment queue is overtime, deleting the overtime face data, and recording overtime information and service processing data by the cloud server; if any one of the identity verification of the applicant, the opening authority of the storage drawer or the validity of the seal to be returned is invalid, the cloud server side sends error reporting information without access authority to the operation control terminal;
when the applicant uses the operation control terminal to send a seal taking security cabinet unlocking request to the cloud server, the cloud server performs identity verification on the applicant, verifies whether the applicant has the authority of opening the storage drawer and the validity of the seal to be obtained, if the verification is valid, the cloud server judges whether the storage drawer which the applicant requests to open is in a locking state, if the storage drawer is in the locking state, the cloud server prompts waiting information to the operation control terminal, if the storage drawer is in an idle state, the cloud server locks the storage drawer, sends corresponding face data, overtime time and the selected storage drawer number to a corresponding face recognition equipment queue according to the face recognition security cabinet number selected by the applicant to wait for comparison and executes the step 3, and when the face recognition equipment queue data is overtime, deleting overtime face data, and recording overtime information and service processing data by the cloud server; if any one of the identity verification of the applicant, the opening authority of the storage drawer or the validity of the seal is invalid, the cloud server side sends error reporting information without access authority to the operation control terminal;
and step 3: identifying and operating the security cabinet:
the face recognition device compares the face data with the applicant face data currently acquired:
when the comparison result is successful, the face recognition device sends an unlocking request to the intelligent electric control lock controller and deletes face data, the intelligent electric control lock controller opens the corresponding intelligent electric control lock according to the selected number of the storage drawer, the storage drawer is opened, the state of the storage drawer is monitored, and the intelligent electric control lock controller controls the loudspeaker to give an alarm if the storage drawer is closed overtime;
the method comprises the following steps that an applicant stores a seal in a storage drawer or takes the seal out of the storage drawer and then closes the storage drawer, an intelligent electric control lock is closed and then transmits a closing signal to a cloud server end through an intelligent electric control lock controller, a face recognition device and a router, the cloud server end carries out the inventory operation of taking or returning the seal on an RFID reader-writer corresponding to the storage drawer, the RFID reader-writer transmits the inventory operation result back to the cloud server end through the router, and the storage drawer is unlocked;
and when the comparison result fails, the face recognition equipment waits for the correct applicant to recognize until the face data comparison of the face recognition equipment queue is overtime.
The cloud server side judges the inventory operation result of the RFID reader-writer in the step 3, and if the inventory result of the RFID reader-writer for the seal RFID electronic tag is consistent with the seal acquired or returned by the applicant, the seal is acquired or returned correctly; and if the two are not consistent, the cloud server side records the inventory operation result and the error information and reports the inventory operation result and the error information to the cloud server side for processing.
The data of the applicant in the step 1 comprises the following steps: name, serial number, face data, accessed face identification security cabinet number, and corresponding parameters and timeout time of the storage drawer number, seal number, face data and accessed face identification security cabinet number.
The step 2 of verifying the validity of the identity comprises the following steps: whether the serial number of the application form is valid, whether the state of the seal is valid and whether the data of the applicant exists.
The data of the applicant in the step 1 is encrypted, uploaded and stored in the cloud server; and the face recognizer in the step 3 decrypts the applicant data in the step 2.
The face acquisition equipment in the step 1 acquires one or more face data aiming at the same person, and selects different accessed face identification security cabinet numbers and storage drawer numbers to correspond to the one or more face data through the client.
The intelligent electric control lock controller is a one-to-many controller, and the step 3 opens one or a plurality of intelligent electric control locks in sequence according to the unlocking request sent to the controller by the face recognition equipment.
When a plurality of received storage drawer numbers are provided, the one-to-many controller sequentially gives control signals to the intelligent electric control lock, the storage drawers are sequentially controlled to be opened one by one, and the problem that the one-to-many controller is burnt due to overlarge instantaneous current and current overload caused by the simultaneous opening of the intelligent electric control lock is avoided.
Example 2: as shown in fig. 1 and 2, the operation method of the face recognition security cabinet based on the internet of things comprises the following steps:
step 1: collecting a face characteristic value; when new or updated applicant data are needed in a service scene, a manager brings a new or updated applicant to a face recognition device for collection, the collected face features and the face of the current applicant are used for comparison immediately after each collection, and after the comparison is successful, the applicant data are encrypted and uploaded to a cloud server through a client, wherein the applicant data comprise: the method comprises the steps that name, serial number, face data, accessed face recognition security cabinet numbers, storage drawer numbers, seal numbers, corresponding parameters of the face data and the accessed face recognition security cabinet numbers and overtime time are obtained, a plurality of face data are collected by face collection equipment aiming at the same person, a user registers and collects a plurality of face feature data to deal with different scenes, comparison is carried out under different wearing conditions, and one or more face data are selected to correspond to the face data through a client side when a plurality of face features are registered for accessing different face recognition security cabinet numbers and storage drawer numbers;
step 2: the operation control terminal applies for identification;
when the applicant uses the operation control terminal to send a stamp taking security cabinet unlocking request to the cloud server terminal, the cloud server side carries out identity verification on the applicant and verifies whether the applicant has the authority of opening the storage drawer and the validity of the seal to be obtained, if the verification is valid, the cloud server side checks whether the seal is idle, if the seal is taken away, the cloud server prompts the operation control terminal to reselect the seal, if the seal state is idle, the cloud server side acquires the number of the storage drawer where the seal is located, the address of the face recognition device, the timeout time and the face data, sends the number, the address, the timeout time and the face data to a corresponding face recognition device queue for waiting comparison, changes the seal state to be occupied, executes the step 3, when the face data in the face recognition equipment queue is compared overtime, deleting the overtime face data, and recording overtime information and service processing data by the cloud server; if any one of the identity verification of the applicant, the opening authority of the storage drawer or the validity of the seal is invalid, the cloud server side sends error reporting information without access authority to the operation control terminal;
the face recognition device compares the face data with the applicant face data currently acquired:
when the comparison result is successful, the face recognition device sends an unlocking request to the intelligent electric control lock controller and deletes face data, the intelligent electric control lock controller opens the corresponding intelligent electric control lock according to the selected number of the storage drawer, the storage drawer is opened, the state of the storage drawer is monitored, and the intelligent electric control lock controller controls the loudspeaker to give an alarm if the storage drawer is closed overtime;
the method comprises the following steps that an applicant stores a seal in a storage drawer or takes the seal out of the storage drawer and then closes the storage drawer, an intelligent electric control lock is closed and then transmits a closing signal to a cloud server end through an intelligent electric control lock controller, a face recognition device and a router, the cloud server end carries out the inventory operation of taking or returning the seal on an RFID reader-writer corresponding to the storage drawer, the RFID reader-writer transmits the inventory operation result back to the cloud server end through the router, and the storage drawer is unlocked;
when the comparison result fails, the face recognition equipment waits for the correct applicant to recognize until the face data comparison of the face recognition equipment queue is overtime;
when the comparison time length exceeds the overtime time in the data of the applicant (the default is 120 seconds, and the overtime time can be set by a manager), deleting the face data in the face recognition device and uploading recognition overtime information to the cloud server, so that the manager is obviously shown that the applicant does not compare the face data, and the unmatched reason needs to be further checked; in another embodiment, not shown in the figure, when the comparison result fails and exceeds 10 times, the comparison is stopped and the intelligent electric control lock controller is used for locking, so as to prevent the damage caused by external malicious actions, the face recognition device uploads identification error information to the cloud server to clearly indicate the abnormal condition of the current device of the manager, the face recognition device is restarted after the manager removes the abnormality, the comparison is continued, and the face recognition device does not delete the face feature data when the face recognition device is locked.
After the applicant opens the storage drawer, the applicant does not actively close the storage drawer within a certain time (default is 60 seconds, and the default can be set by a manager), the intelligent electronic control lock controller controls the loudspeaker to give an alarm, so that the external malicious damage is prevented, the face recognition device sends the face information of the current operator to the cloud server, and the alarm is finished after the storage drawer is closed.
The cloud server side judges the inventory operation result of the RFID reader-writer in the step 3, and if the inventory result of the RFID reader-writer for the seal RFID electronic tag is consistent with the seal acquired or returned by the applicant, the seal is acquired or returned correctly; and if the two are not consistent, the cloud server side records the inventory operation result and the error information and reports the inventory operation result and the error information to the cloud server side for processing.
The data of the applicant in the step 1 comprises the following steps: name, serial number, face data, accessed face identification security cabinet number, and corresponding parameters and timeout time of the storage drawer number, seal number, face data and accessed face identification security cabinet number.
The step 2 of verifying the validity of the identity comprises the following steps: whether the serial number of the application form is valid, whether the state of the seal is valid and whether the data of the applicant exists.
The data of the applicant in the step 1 is encrypted, uploaded and stored in the cloud server; and the face recognizer in the step 3 decrypts the applicant data in the step 2.
The step 1 is that the face acquisition equipment acquires one or more face data aiming at the same person, and selects different face identification security cabinet numbers and storage drawer numbers to correspond to the one or more face data through the operation control terminal.
The intelligent electric control lock controller is a one-to-many controller, and the step 3 opens one or a plurality of intelligent electric control locks in sequence according to the unlocking request sent to the intelligent electric control lock controller by the face recognition equipment.
When a plurality of received storage drawer numbers are provided, the one-to-many controller sequentially gives control signals to the intelligent electric control lock, the storage drawers are sequentially controlled to be opened one by one, and the problem that the one-to-many controller is burnt due to overlarge instantaneous current and current overload caused by the simultaneous opening of the intelligent electric control lock is avoided.
Example 3: as shown in fig. 1 and 3, the operation method of the face recognition security cabinet based on the internet of things comprises the following steps:
step 1: collecting a face characteristic value; uploading and storing all data of the applicant at a cloud server side through the face acquisition equipment and the client side;
step 2: an operation end applies for identification;
when an applicant uses the operation control terminal to send an unlocking request of a security cabinet for storing a seal to the cloud server, the cloud server acquires the position of a drawer where the seal is located, the address of a face recognition device, the overtime time and face data, and executes the step 3, when the face data in a face recognition device queue is compared overtime, the overtime face data is deleted, and the cloud server records overtime information and service processing data; (ii) a
And step 3: identifying and operating the security cabinet:
the face recognition device judges whether other people use the drawer where the seal is located at present, if the people use the drawer to enter the face recognition device to wait for a comparison queue, if the people do not use the drawer, the face recognition device compares the face data with the face data of the applicant collected at present:
when the comparison result is successful, the face recognition device sends an unlocking request to the intelligent electric control lock controller and deletes face data, the intelligent electric control lock controller opens the corresponding intelligent electric control lock according to the selected storage drawer number, the storage drawer is opened, the state of the storage drawer is monitored, if the storage drawer is closed overtime, the intelligent electric control lock controller controls a loudspeaker to give an alarm, and abnormal reporting is carried out on the cloud server;
the method comprises the steps that an applicant stores a seal in a storage drawer or takes the seal out of the storage drawer and then closes the storage drawer, if all the storage drawers are closed, an intelligent electric control lock transmits a closing signal to a cloud server end through an intelligent electric control lock controller, a face recognition device and a router, the cloud server end carries out seal taking or seal returning inventory operation on an RFID reader-writer corresponding to the storage drawer, the RFID reader-writer transmits an inventory operation result back to the cloud server end through the router, the cloud server end judges the inventory operation result of the RFID reader-writer, if the result of the RFID reader-writer inventory seal RFID electronic tag is consistent with the seal obtained or returned by the applicant, the seal is obtained or returned correctly, and the seal returning state is changed into idle; if the two are not consistent, the cloud server side records the inventory operation result and the error information and reports the inventory operation result and the error information to the cloud server side for processing;
when the comparison result fails, the face recognition equipment reports the abnormity to the cloud server;
when the comparison time length exceeds the overtime time in the data of the applicant (the default is 120 seconds, and the overtime time can be set by a manager), deleting the face data in the face recognition device and uploading recognition overtime information to the cloud server, so that the manager is obviously shown that the applicant does not compare the face data, and the unmatched reason needs to be further checked; in another embodiment, not shown in the figure, when the comparison result fails and exceeds 10 times, the comparison is stopped and the intelligent electric control lock controller is used for locking, so as to prevent the damage caused by external malicious actions, the face recognition device uploads identification error information to the cloud server to clearly indicate the abnormal condition of the current device of the manager, the face recognition device is restarted after the manager removes the abnormality, the comparison is continued, and the face recognition device does not delete the face feature data when the face recognition device is locked.
After the applicant opens the storage drawer, the applicant does not actively close the storage drawer within a certain time (default is 60 seconds, and the default can be set by a manager), the intelligent electronic control lock controller controls the loudspeaker to give an alarm, so that the external malicious damage is prevented, the face recognition device sends the face information of the current operator to the cloud server, and the alarm is finished after the storage drawer is closed.
The data of the applicant in the step 1 comprises the following steps: name, serial number, face data, accessed face identification security cabinet number, and corresponding parameters and timeout time of the storage drawer number, seal number, face data and accessed face identification security cabinet number.
The step 2 of verifying the validity of the identity comprises the following steps: whether the serial number of the application form is valid, whether the state of the seal is valid and whether the data of the applicant exists.
The data of the applicant in the step 1 is encrypted, uploaded and stored in the cloud server; and the face recognizer in the step 3 decrypts the applicant data in the step 2.
The step 1 is that the face acquisition equipment acquires one or more face data aiming at the same person, and selects different face identification security cabinet numbers and storage drawer numbers to correspond to the one or more face data through the operation control terminal.
The intelligent electric control lock controller is a one-to-many controller, and the step 3 opens one or a plurality of intelligent electric control locks in sequence according to the unlocking request sent to the controller by the face recognition equipment.
When a plurality of received storage drawer numbers are provided, the one-to-many controller sequentially gives control signals to the intelligent electric control lock, the storage drawers are sequentially controlled to be opened one by one, and the problem that the one-to-many controller is burnt due to overlarge instantaneous current and current overload caused by the simultaneous opening of the intelligent electric control lock is avoided.
Face identification security system based on thing networking, security system includes a plurality of face identification security cabinets based on thing networking and removes management system, as shown in figure 4, face identification security cabinet 1 includes: a control cabinet body 3 and a plurality of storage drawers 2 arranged along the transverse direction and the longitudinal direction; the control cabinet body 3 is provided with an intelligent electric control lock controller, a face recognition device, a loudspeaker 6, an RFID reader-writer and a router, and each storage drawer is provided with an intelligent electric control lock and an RFID antenna and used for storing 1 or more stamps with RFID electronic tags; the intelligent electric control lock, the face recognition equipment and the loudspeaker are electrically connected with the intelligent electric control lock controller; the RFID antenna is electrically connected with the RFID reader-writer; the RFID reader-writer and the face recognition device are electrically connected with the router, the router is connected with the cloud server end through a network, and the face recognition device comprises a camera 4 and a display screen 5.
Finally, it should be pointed out that: the above examples are only for illustrating the technical solutions of the present invention, and are not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. The utility model provides a face identification security system based on thing networking, security system includes a plurality of face identification security cabinets based on thing networking, cloud server end and operation control terminal, its characterized in that, face identification security cabinet includes: the control cabinet comprises a control cabinet body and a plurality of storage drawers which are arranged along the transverse direction and the longitudinal direction; the control cabinet body is provided with an intelligent electric control lock controller, an RFID reader-writer, face recognition equipment and a router; each storage drawer is provided with an intelligent electric control lock and an RFID antenna and is used for storing 1 or more stamps with RFID electronic tags; the intelligent electric control lock is electrically connected with the intelligent electric control lock controller; the intelligent electric control lock controller is electrically connected with the face recognition equipment; the RFID antenna is electrically connected with the RFID reader-writer; the RFID reader-writer and the face recognition device are electrically connected with the router, and the router is respectively connected with the cloud server end and the operation control terminal through a network.
2. An operation method using the internet of things based face recognition security system according to claim 1, wherein the operation method comprises the following steps:
step 1: collecting face characteristic values:
uploading and storing all data of the applicant in the cloud server end through the face acquisition equipment and the operation control terminal;
step 2: the operation control terminal applies for identification:
when the applicant uses the operation control terminal to send a seal storage security cabinet unlocking request to the cloud server, the cloud server performs identity verification on the applicant, verifies whether the applicant has the authority of opening the storage drawer and the validity of the seal to be returned, if the verification is valid, the cloud server sends corresponding face data, overtime time and the selected storage drawer number to face recognition equipment of a control cabinet body of a corresponding face recognition security cabinet according to the face recognition security cabinet number selected by the applicant, and executes the step 3; if any one of the identity verification of the applicant, the opening authority of the storage drawer or the validity of the seal to be returned is invalid, the cloud server side sends error reporting information without access authority to the operation control terminal;
when the applicant uses the operation control terminal to send a seal taking security cabinet unlocking request to the cloud server, the cloud server performs identity verification on the applicant, verifies whether the applicant has the authority of opening the storage drawer and the validity of the seal to be obtained, and if the verification is valid, the cloud server sends corresponding face data, overtime time and the selected storage drawer number to face recognition equipment of a control cabinet body of a corresponding face recognition security cabinet according to the face recognition security cabinet number selected by the applicant and executes step 3; if any one of the identity verification of the applicant, the opening authority of the storage drawer or the validity of the seal is invalid, the cloud server side sends error reporting information without access authority to the operation control terminal;
and step 3: identifying and operating the security cabinet:
the face recognition device compares the face data with the applicant face data currently acquired:
when the comparison result is successful, the face recognition equipment sends an unlocking request to the intelligent electric control lock controller, and the intelligent electric control lock controller opens the corresponding intelligent electric control lock according to the selected number of the storage drawer, so that the storage drawer is opened;
the method comprises the following steps that an applicant stores a seal in a storage drawer or takes the seal out of the storage drawer and then closes the storage drawer, an intelligent electric control lock is closed and then transmits a closing signal to a cloud server side through an intelligent electric control lock controller, a face recognition device and a router, the cloud server side carries out the inventory operation of taking or returning the seal on an RFID reader-writer corresponding to the storage drawer, and the RFID reader-writer transmits the inventory operation result back to the cloud server side through the router;
when the comparison result fails, the face recognition equipment waits for the correct applicant to recognize until the comparison is overtime;
and when the comparison duration exceeds the overtime, deleting the face data in the face recognition equipment and uploading the recognition overtime information to the cloud server.
3. The method of claim 2, wherein the method comprises: the cloud server side judges the inventory operation result of the RFID reader-writer in the step 3, and if the inventory result of the RFID reader-writer for the seal RFID electronic tag is consistent with the seal acquired or returned by the applicant, the seal is acquired or returned correctly; and if the data are inconsistent, the cloud server side records the inventory operation result and the error information.
4. The method of claim 2, wherein the method comprises: the data of the applicant in the step 1 comprises the following steps: name, serial number, face data, accessed face identification security cabinet number, and corresponding parameters and timeout time of the storage drawer number, seal number, face data and accessed face identification security cabinet number.
5. The method of claim 4 for operating a face recognition security system based on the internet of things, wherein: the step 2 of verifying the validity of the identity comprises the following steps: whether the serial number of the application form is valid, whether the state of the seal is valid and whether the data of the applicant exists.
6. The method of claim 2, wherein the method comprises: the data of the applicant in the step 1 is encrypted, uploaded and stored in the cloud server; and the face recognizer in the step 3 decrypts the applicant data in the step 2.
7. The method of claim 4 for operating a face recognition security system based on the internet of things, wherein: the step 1 is that the face acquisition equipment acquires one or more face data aiming at the same person, and selects different face identification security cabinet numbers and storage drawer numbers to correspond to the one or more face data through the operation control terminal.
8. The method of claim 2, wherein the method comprises: the intelligent electric control lock controller is a one-to-many controller, and the step 3 opens one or a plurality of intelligent electric control locks in sequence according to the unlocking request sent to the intelligent electric control lock controller by the face recognition equipment.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910737273.7A CN111739228A (en) | 2019-08-14 | 2019-08-14 | Face recognition security system based on Internet of things and operation method |
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| CN201910737273.7A CN111739228A (en) | 2019-08-14 | 2019-08-14 | Face recognition security system based on Internet of things and operation method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112511488A (en) * | 2020-10-20 | 2021-03-16 | 广西盛源行电子信息股份有限公司 | Face recognition data distribution system based on big data |
| CN115600624A (en) * | 2022-10-20 | 2023-01-13 | 中安网脉（北京）技术股份有限公司（Cn） | Entity seal storage system and method based on RFID technology |
-
2019
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112511488A (en) * | 2020-10-20 | 2021-03-16 | 广西盛源行电子信息股份有限公司 | Face recognition data distribution system based on big data |
| CN115600624A (en) * | 2022-10-20 | 2023-01-13 | 中安网脉（北京）技术股份有限公司（Cn） | Entity seal storage system and method based on RFID technology |
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