CN108335395A - Fingerprint recognition smart lock based on cloud computing, system, method - Google Patents
Fingerprint recognition smart lock based on cloud computing, system, method Download PDFInfo
- Publication number
- CN108335395A CN108335395A CN201810266625.0A CN201810266625A CN108335395A CN 108335395 A CN108335395 A CN 108335395A CN 201810266625 A CN201810266625 A CN 201810266625A CN 108335395 A CN108335395 A CN 108335395A
- Authority
- CN
- China
- Prior art keywords
- identification
- fingerprint
- intelligent lock
- fingerprint identification
- result
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims description 68
- 238000004891 communication Methods 0.000 claims abstract description 57
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000012795 verification Methods 0.000 claims description 61
- 238000005516 engineering process Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 6
- 238000010191 image analysis Methods 0.000 claims description 6
- 230000005923 long-lasting effect Effects 0.000 abstract 1
- 230000008859 change Effects 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 230000007547 defect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000741 silica gel Substances 0.000 description 1
- 229910002027 silica gel Inorganic materials 0.000 description 1
Classifications
-
- 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
- G07C9/00309—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated with bidirectional data transmission between data carrier and locks
-
- 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
-
- 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
- G07C9/00571—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by interacting with a central unit
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Lock And Its Accessories (AREA)
- Collating Specific Patterns (AREA)
Abstract
A kind of fingerprint recognition intelligent lock system based on cloud computing, it is characterised in that：Device (abbreviation distal end customer service device), fingerprint recognition smart lock, communication network are assisted including the customer service of smart lock finger print identifying distal end；Wherein, the distal end customer service device, including distal end customer service host, distal end customer service terminal；The distal end customer service host connects the fingerprint recognition smart lock by communication network；The fingerprint recognition smart lock, including smart lock control device.The present invention is the local fingerprint for being unable to automatic identification, it is automatically transmitted to distal end customer service terminal, by manual identified, and receive fingerprint recognition result of the result as system of distal end manual identified, enable the system to the fingerprint that quick identifying processing is locally unable to automatic identification, solve in application it is local when cannot identify fingerprint long lasting for identification waiting problem, unlock in time.
Description
Technical Field
The invention relates to the field of fingerprint identification, in particular to a cloud computing-based fingerprint identification intelligent lock, a cloud computing-based fingerprint identification intelligent system and a cloud computing-based fingerprint identification intelligent method.
Background
The existing Chinese patent CN201210035594.0 solves the defect that the automobile fingerprint identification authentication system in the prior art cannot identify, provides a novel remote customer service assistance type fingerprint identification method for vehicle user assistance identity authentication, and simultaneously discloses a remote customer service assistance type automobile fingerprint identification authentication system.
The existing chinese patent CN201410778519.2 discloses a living fingerprint determination method and system, the system includes: the device comprises a color fingerprint image acquisition module, a color change calculation module and a living body fingerprint judgment module. The color fingerprint image acquisition module is used for acquiring a color fingerprint image; the color change calculation module is used for calculating color change information of the color fingerprint image of the fingerprint at the first time and the second time of the contact of the prism; the living fingerprint judgment module is used for judging whether the identified fingerprint is a living fingerprint; and determining the living fingerprint when the calculation result meets the set reference condition of the color change of the fingerprint. The living fingerprint judgment method and the living fingerprint judgment system can distinguish true fingerprints and false fingerprints and improve the accuracy and the efficiency of fingerprint identification. The method can effectively distinguish the true and false fingerprints, not only the common paper printed fingerprints, but also the simulated fingerprints made of materials such as films, silica gel and the like.
The existing chinese patent CN201410027818.2 discloses a skin identification method based on color space, which converts the color space of an original image from RGB color space to YIQ color space to obtain a converted image, creates a YIQ skin probability map model, and then maps the color values of the I channel and the Q channel of the converted image with the YIQ skin probability map model to obtain a skin probability map of the original image.
The existing chinese patent cn201620153459.x discloses an intelligent lock based on zigbee, which relates to an intelligent lock, and comprises an authentication module, a lock cylinder, a voice module, a control module and a communication module, wherein the communication module adopts zigbee communication and gateway communication; the authentication module is used for identifying correct authentication information and unlocking; the lock core is used for locking and unlocking the door; the control module is used for controlling the whole work of the intelligent lock; the communication module is used for sending unlocking information and abnormal unlocking information and receiving an unlocking instruction; the voice module is used for prompting and alarming; and the power supply module is used for supplying power to the whole lock. The utility model has the advantages that: the utility model discloses to the unable long-range defect such as record that opens the door and not knowing to current lock. Increase zigbee module on current traditional lock, the cooperation gateway uses to realize real-time owner of informing, the record of every time of unblanking all can be preserved at the cell-phone end, can look over at any time.
In the existing fingerprint identification technology in the intelligent lock, when fingerprint identification fails (the identification success rate is low under the conditions of old people, children, damaged fingerprints and the like), an identified person usually tries identification repeatedly, so that multiple identification, long-time identification and even no identification are formed, and the service capability of a system is low; when the fingerprint is analyzed, living fingerprint identification is not considered, when the intelligent lock fails, the continuous service capability of the system is not considered, and fingerprint identification processing when automatic fingerprint identification fails is not considered.
Disclosure of Invention
The technical problem is as follows:
aiming at one of the defects in the prior art, the invention provides a fingerprint identification intelligent lock, a system and a method based on cloud computing.
The technical scheme is as follows:
in order to achieve the purpose, the invention provides a fingerprint identification intelligent lock system based on cloud computing, which comprises an intelligent lock fingerprint authentication remote customer service assisting device (a remote customer service device for short), a fingerprint identification intelligent lock and a communication network; wherein,
the remote customer service device comprises a remote customer service host and a remote customer service terminal; the remote customer service host is a host based on cloud computing and/or distributed computing; the remote customer service terminal is a computer terminal device; the remote customer service terminal is connected with the remote customer service host through a digital communication network;
the remote customer service host is connected with the fingerprint identification intelligent lock through a communication network;
the fingerprint identification intelligent lock comprises an intelligent lock control device; the intelligent lock control device comprises an intelligent lock controller, a fingerprint identification module and an intelligent lock communication module; the intelligent lock controller is a computer controller; the intelligent lock controller is connected with and matched with the fingerprint identification module and the intelligent lock communication module; the fingerprint identification module is used for identifying a fingerprint; the intelligent lock communication module is a network communication module; the fingerprint identification intelligent lock determines user identity information according to a fingerprint identification result and selects whether to unlock;
the communication network is a digital communication network and comprises a wired digital communication network, a wireless digital communication network and combination thereof;
and the intelligent lock communication module is connected with a remote customer service host through the communication network.
Further, the remote customer service terminal comprises a fixed terminal and/or a mobile terminal.
Furthermore, the fingerprint identification intelligent lock further comprises a fingerprint identification judging module and a far-end fingerprint identification module (the fingerprint identification judging module and the far-end fingerprint identification module are respectively connected with the intelligent lock controller in a matching manner); the fingerprint identification judging module is used for judging the failure of fingerprint identification when the same person fails in M continuous identification or fails in identification after N seconds of continuous identification, and sending a judgment conclusion to the intelligent lock controller and/or the remote fingerprint identification module; and the remote fingerprint identification module is used for sending the fingerprint photos failed in identification to the remote customer service device and receiving the identification result returned by the remote customer service device.
Furthermore, the fingerprint identification intelligent lock also comprises a face identification module; the face recognition module is used for recognizing the head portrait of the person. Mutually verifying the face recognition result and the fingerprint recognition result; the verification method comprises the following steps: if the fingerprint identification result and the face identification result are the same person, the verification is successful; if, not the same person, the authentication fails.
Furthermore, the fingerprint identification intelligent lock also comprises an identity card identification module; and the identity card identification module is used for identifying and reading the identity card. Mutually verifying the identification result of the identity card and the fingerprint identification result; the verification method comprises the following steps: if the fingerprint identification result and the identification card reading result are the same person, the verification is successful; if, not the same person, the authentication fails.
Furthermore, the fingerprint identification intelligent lock also comprises a living body identification module; the living body identification module is used for identifying whether the living body is a living body; if the recognition result is a living body, the recognition is further performed, and if the recognition result is not a living body, the recognition fails.
In order to achieve the purpose, the invention provides an intelligent lock fingerprint identification method based on cloud computing, which comprises the following processing steps of:
s1) fingerprint identification failure determination: judging that the fingerprint identification fails when the identification fails for M times continuously or the identification fails after N seconds of continuous identification;
s2) sending the fingerprint identification information to the remote host: encrypting the related information of the fingerprint with failed local identification and then sending the encrypted information to a remote host; the fingerprint identification information includes: the fingerprint photo to be identified and the unique identification code of the person to be identified;
s3) sending the fingerprint identification information to the remote customer service terminal: the remote host decrypts the received fingerprint identification information, and sends the fingerprint identification information and the reserved fingerprint information (obtained according to the unique identification code of the person to be identified) to the remote customer service terminal;
s4) remote manual identification: on the screen of the remote customer service terminal, comparing and displaying the reserved fingerprint and the fingerprint photo to be identified; manually comparing whether the fingerprints are consistent or not, inputting a manual comparison result on a screen, and sending the manual comparison result to the remote host;
s5) the terminal processes the manual identification result: the remote host sends the manual identification result to the fingerprint identification intelligent lock; after receiving the manual identification result, the fingerprint identification intelligent lock reminds the identification result, determines the identity information of the user according to the fingerprint identification result, and selects whether to unlock; the reminding mode at least comprises one of the following steps: image, text, sound, voice.
Further, the intelligent lock fingerprint identification method based on cloud computing at least comprises one of the following processing steps:
s6) identifying the live fingerprint: detecting whether the fingerprint is live or not by using image analysis or a live detection method; if the identification result is a living body, further identifying, and if the identification result is not the living body, failing to identify;
s7) face recognition: detecting the identity of a person recognizing the fingerprint by using a face recognition technology; mutually verifying the face recognition result and the fingerprint recognition result; the verification method comprises the following steps: if the fingerprint identification result and the face identification result are the same person, the verification is successful; if, not the same person, the verification fails;
s8) identity card reading: the terminal automatically reads the information of the identity card to obtain a unique identification code with a person to be identified; mutually verifying the identification result of the identity card and the fingerprint identification result; the verification method comprises the following steps: if the fingerprint identification result and the identification card reading result are the same person, the verification is successful; if, not the same person, the verification fails;
s9), prompting staff by voice or voice on a remote customer service terminal;
s10), the remote host is a host of cloud computing or distributed computing;
s11) the remote customer service terminal does not display the specific identity information of the person to be identified (to avoid the tendency of artificial fingerprint identification).
Further, the intelligent lock fingerprint identification method based on cloud computing further comprises the following processing steps:
s12) on the mobile terminal, after selecting the unlocking function, the unlocking command is transmitted to the remote customer service host and/or the corresponding intelligent lock (when being transmitted to the remote customer service host, the unlocking command is transmitted to the corresponding intelligent lock). And after receiving the unlocking command, the intelligent lock verifies whether the unlocking command is correct, and if the unlocking command is correct, the intelligent lock unlocks. And the verification comprises password verification and direct unlocking. The direct unlocking refers to direct unlocking after the preset mobile terminal identity or user identity (user name and password) is verified.
In order to achieve the purpose, the invention provides an intelligent lock end fingerprint identification method based on cloud computing, which comprises the following processing steps:
s31) fingerprint identification failure determination: judging that the fingerprint identification fails when the identification fails for M times continuously or the identification fails after N seconds of continuous identification;
s32) sending the fingerprint identification information to the remote host: encrypting the related information of the fingerprint with failed local identification and then sending the encrypted information to a remote host; the fingerprint identification information includes: the fingerprint photo to be identified and the unique identification code of the person to be identified;
s33) receiving the remote end recognition result: the identification terminal receives a manual identification result sent by the remote host;
s34) the terminal processes the manual identification result: after receiving the manual identification result, the identification terminal reminds the identification result, determines the identity information of the user according to the fingerprint identification result, and selects whether to unlock; the reminding mode at least comprises one of the following steps: image, text, sound, voice.
Further, the cloud computing-based intelligent lock end fingerprint identification method at least comprises one of the following processing steps:
s35) identifying the live fingerprint: detecting whether the fingerprint is live or not by using image analysis or a live detection method; if the identification result is a living body, further identifying, and if the identification result is not the living body, failing to identify;
s36) face recognition: detecting the identity of a person recognizing the fingerprint by using a face recognition technology; mutually verifying the face recognition result and the fingerprint recognition result; the verification method comprises the following steps: if the fingerprint identification result and the face identification result are the same person, the verification is successful; if, not the same person, the verification fails;
s37) identity card reading: the terminal automatically reads the information of the identity card to obtain a unique identification code with a person to be identified; mutually verifying the identification result of the identity card and the fingerprint identification result; the verification method comprises the following steps: if the fingerprint identification result and the identification card reading result are the same person, the verification is successful; if, not the same person, the authentication fails.
S38) on the mobile terminal, after selecting the unlocking function, the unlocking command is transmitted to the remote customer service host and/or the corresponding intelligent lock (when being transmitted to the remote customer service host, the unlocking command is transmitted to the corresponding intelligent lock). And after receiving the unlocking command, the intelligent lock verifies whether the unlocking command is correct, and if the unlocking command is correct, the intelligent lock unlocks. And the verification comprises password verification and direct unlocking. The direct unlocking refers to direct unlocking after the preset mobile terminal identity or user identity (user name and password) is verified.
The invention has the beneficial effects that:
1. the invention automatically transmits the fingerprints which cannot be automatically identified locally to the remote customer service terminal, can automatically judge the fingerprints which cannot be automatically identified locally by manual identification, automatically transmits the information required by the remote manual identification of the fingerprints to the remote end, and receives the result of the remote manual identification as the fingerprint identification result of the system, so that the system can quickly identify and process the fingerprints which cannot be automatically identified locally, solves the problem of long-time continuous identification waiting when the fingerprints cannot be identified locally in application, and unlocks in time.
2. The fingerprint identification method and the fingerprint identification device can be used for identifying the living fingerprint, can be used for detecting fake fingerprints, and have high safety.
3. The customer service mobile terminal is used for manually assisting fingerprint identification, so that the customer service personnel can work more conveniently and service more timely.
4. The cloud computing or distributed computing host can provide higher availability and lower operation cost.
5. The fingerprint identification intelligent lock and the intelligent lock control device can automatically identify the failure of local fingerprint identification, send the related information of the fingerprint with the failure identification to a remote host (sent to a customer service terminal by the remote host and manually processed), receive the returned manual identification result and take the manual identification result as the identification result; the service can be rapidly provided, and the problem of long-time identification in application is solved; the living body recognition and the face recognition can improve the reliability and the safety of the recognition.
6. The auxiliary judgment method adopting the face recognition of the same client can obviously improve the speed and the accuracy of the remote customer service assisted recognition and can further improve the reliability of the intelligent lock recognition.
7. The remote customer service device, the fingerprint identification intelligent lock and the digital communication network are not strictly limited in use conditions, have flexible matching characteristics in configuration and are suitable for different types of applications.
8. The remote customer service center, the fingerprint identification intelligent lock and the digital communication network form a remote fingerprint authentication manual auxiliary device, and the remote customer service center provides auxiliary operation through the remote customer service center, so that the operation is convenient, a remote customer service communication link and manual auxiliary fingerprint identification operation are realized, and the system is difficult to fail to authenticate for a long time.
9. The safety of the remote customer service assistance is based on fingerprint identification and data encryption, plain language communication is not needed, information is prevented from being stolen, and remote identity confirmation is cheated, so that the remote customer service assistance of the system has good safety.
10. The remote customer service terminal does not display the specific identity information of the person to be identified, thereby avoiding the tendency of artificial fingerprint identification.
Drawings
Fig. 1 is a schematic system structure diagram of an intelligent lock fingerprint identification apparatus based on cloud computing according to an embodiment of the present invention.
Fig. 2 is a flowchart of an intelligent lock fingerprint identification method based on cloud computing according to another embodiment of the present invention.
Fig. 3 is a flowchart of an intelligent lock-end fingerprint identification method based on cloud computing according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings and examples, so that how to apply technical means to solve technical problems and achieve the technical effects can be fully understood and implemented.
It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Embodiment one
Fig. 1 is a schematic system structure diagram of a cloud computing-based fingerprint identification smart lock system according to an embodiment of the present invention.
As shown in fig. 1, the cloud computing based fingerprint identification intelligent lock system includes a fingerprint authentication remote customer service assisting device (remote customer service device for short), a fingerprint identification intelligent lock, and a communication network.
The remote customer service device comprises a remote customer service host and a remote customer service terminal; the remote customer service host is a host or a server based on cloud computing or distributed computing, and preferably an Ali cloud server; the remote customer service terminal is a computer terminal device, preferably a desktop computer; the remote customer service terminal is connected with the remote customer service host through a digital communication network, and the digital communication network is a mixed network of a local area network and a wide area network and is a mixed network of a wired network and a wireless network;
the remote customer service host is connected with the fingerprint identification intelligent lock through a digital communication network;
the fingerprint identification intelligent lock comprises an intelligent lock control device; the intelligent lock control device comprises an intelligent lock controller, a fingerprint identification module and an intelligent lock communication module; the intelligent lock controller is a computer controller; the intelligent lock controller is connected with and matched with the fingerprint identification module and the intelligent lock communication module; the fingerprint identification intelligent lock determines user identity information according to a fingerprint identification result and selects whether to unlock; the fingerprint identification module is used for identifying fingerprints, is an existing fingerprint identification device and is connected with the intelligent lock controller in a matching way; the intelligent lock communication module is a network communication module. Preferably, the intelligent lock controller is an embedded computer connected with the fingerprint identification module, and the intelligent lock communication module is a network card. The intelligent lock controller is matched with the intelligent lock and preferably located in the lock body.
The communication network is a digital communication network, including a wired digital communication network, a wireless digital communication network and a combination thereof, preferably a mixed network of a local area network and a wide area network, and is a mixed network of a wired network and a wireless network.
And the intelligent lock communication module is connected with a remote customer service host through the communication network.
The fingerprint identification intelligent lock determines the identity information of a user according to the fingerprint identification result and selects whether to unlock.
Optionally, the remote customer service terminal further includes a mobile terminal. The mobile terminal is a mobile phone. Preferably a desktop computer in part and a mobile phone in part.
Optionally, the fingerprint identification intelligent lock further includes a remote fingerprint identification module, configured to make a judgment of fingerprint identification failure when the same person fails to identify for M consecutive times or fails to identify after N consecutive identification seconds, send the judgment result and the fingerprint picture of identification failure to the remote customer service device, receive an identification result returned by the remote customer service device, and take the received identification result returned by the remote customer service device as the identification result of this time. Preferably, fingerprint recognition is considered to fail when the same person fails recognition for 9 consecutive times, or when recognition still fails after 5 consecutive recognition seconds. It should be noted that, the fingerprint identification intelligent lock is a computer device; the remote fingerprint identification module is realized by the computer system contained in the remote fingerprint identification module.
Optionally, the fingerprint identification intelligent lock further comprises a face identification module; the face recognition module is connected with the computer system of the fingerprint recognition intelligent lock in a matching way through the bus system and is used for recognizing the head portrait of a person. Mutually verifying the face recognition result and the fingerprint recognition result; the verification method comprises the following steps: if the fingerprint identification result and the face identification result are the same person, the verification is successful; if, not the same person, the authentication fails. Preferably, a face recognition module is included.
Optionally, the fingerprint identification intelligent lock further comprises an identification card identification module; the identity card identification module is used for identifying and reading an identity card, and is connected with a bus system of a computer system of the fingerprint identification intelligent lock in a matching way. Mutually verifying the identification card identification result and the fingerprint identification result; the verification method comprises the following steps: if the fingerprint identification result and the identification card reading result are the same person, the verification is successful; if, not the same person, the authentication fails. Preferably, the system comprises an identity card identification module, and the identity card number is obtained through the identity card identification module.
Optionally, the fingerprint identification smart lock further includes a living body identification module; the living body identification module is used for identifying whether the lock is a living body or not, and is connected with the bus system of the computer system of the fingerprint identification intelligent lock in a matching way. If the recognition result is a living body, the recognition is further performed, and if the recognition result is not a living body, the recognition fails. Preferably, a living body identification module is included.
The living body identification method is one of the following methods, preferably a living body identification method one:
first living body identification method:
firstly, a photo with recognized fingers is obtained, the photo in an RGB format is converted into the photo in a YCrCb format, and a formula is converted to calculate color data of each pixel point in a portrait area image in a YCrCb color space: y ═ 0.299R +0.587G +0.114B, Cr ═ 0.500R +0.419G-0.081B +128, Cb ═ 0.169R-0.331G +0.500B + 128; r, G, B is the color value of the pixel point corresponding to the RGB color space; detecting each pixel point in a portrait area image in a YCrCb format; if the color data of the pixel points fall into a preset range, namely 133-Cr-173 and 77-Cb-127, the pixel points are merged into a human skin area;
counting, the proportion of the human skin pixel points to the total pixel points is determined as a living body if the proportion is greater than a set threshold (the value range is 55-95%, and the preferred value is 80%).
Living body identification method two:
converting the color space of the original image, and converting the RGB color space into a YIQ color space to obtain a converted image; analyzing the YIQ color space, and judging whether each point in the image is skin or not; (see, in particular, Chinese patent: CN 201410027818.2);
counting, the proportion of the human skin pixel points to the total pixel points is determined as a living body if the proportion is greater than a set threshold (the value range is 55-95%, and the preferred value is 80%).
The living body recognition method three:
chinese patent: CN201410778519.2, the system includes: the device comprises a color fingerprint image acquisition module, a color change calculation module and a living body fingerprint judgment module. The color fingerprint image acquisition module is used for acquiring a color fingerprint image; the color change calculation module is used for calculating color change information of the color fingerprint image of the fingerprint at the first time and the second time of the contact of the prism; the living fingerprint judgment module is used for judging whether the identified fingerprint is a living fingerprint; and determining the living fingerprint when the calculation result meets the set reference condition of the color change of the fingerprint.
It should be noted that, the remote customer service terminal does not display the specific identity information of the person to be identified, thereby avoiding the tendency of manual fingerprint identification.
Optionally, the fingerprint identification intelligent lock further comprises a self-service unlocking device; the self-help unlocking device is a computer device, preferably a mobile terminal; the mobile terminal is connected with a remote customer service host and/or a corresponding intelligent lock through a communication network; after the unlocking function is selected, the unlocking command is transmitted to the remote customer service host and/or the corresponding intelligent lock (when the unlocking command is transmitted to the remote customer service host, the unlocking command is transmitted to the corresponding intelligent lock by the remote customer service host). And after receiving the unlocking command, the intelligent lock verifies whether the unlocking command is correct, and if the unlocking command is correct, the intelligent lock unlocks. And the verification comprises password verification and direct unlocking. The direct unlocking refers to direct unlocking after the preset mobile terminal identity or user identity (user name and password) is verified. Preferably, a self-service unlocking device is included.
Embodiment two
Fig. 2 is a flowchart of an intelligent lock fingerprint identification method based on cloud computing according to another embodiment of the present invention.
As shown in fig. 2, the intelligent lock fingerprint identification method based on cloud computing includes the following processing steps:
s1) fingerprint identification failure determination: judging that the fingerprint identification fails when the identification fails for M times continuously or the identification fails after N seconds of continuous identification;
presetting basic information related to fingerprint identification, including a fingerprint library, identification equipment information, parameter setting and the like;
if the fingerprint identification is successful, the identification is finished; if the identification fails, starting counting or timing, preferably, simultaneously;
when the number of recognition failures is larger than a set value (the set value is 1 or more, preferably 5), or the recognition time exceeds a set time (the set time is 1 or more, preferably 3 seconds), the recognition is considered to be failed;
s2) sending the fingerprint identification information to the remote host: encrypting the related information of the fingerprint with failed local identification and then sending the encrypted information to a remote host; the fingerprint identification information includes: the fingerprint photo to be identified and the unique identification code of the person to be identified;
the unique identification code of the person to be identified is manually input or obtained through card reading equipment (such as an identity card reader and the like); preferably, the identification card is obtained through a card reading device, preferably an identification card reader;
s3) sending the fingerprint identification information to the remote customer service terminal: the remote host decrypts the received fingerprint identification information, and sends the fingerprint identification information and the reserved fingerprint information (obtained according to the unique identification code of the person to be identified) to the remote customer service terminal;
the remote customer service terminal is a fixed terminal or a mobile terminal, and preferably comprises the following steps; the mobile terminal can meet the requirement of fingerprint identification more timely when used;
s4) remote manual identification: on the screen of the remote customer service terminal, comparing and displaying the reserved fingerprint and the fingerprint photo to be identified; manually comparing whether the fingerprints are consistent or not, inputting a manual comparison result on a screen, and sending the manual comparison result to the remote host;
the reserved fingerprint and the fingerprint photo to be identified are contrastingly displayed on the remote customer service host, so that manual comparison is facilitated;
the remote customer service host does not display the specific identity information of the person to be identified, so that the tendency of manual identification is avoided;
s5) the terminal processes the manual identification result: the remote host sends the manual identification result to the fingerprint identification intelligent lock; after receiving the manual identification result, the fingerprint identification intelligent lock reminds the identification result, determines the identity information of the user according to the fingerprint identification result, and selects whether to unlock; the reminding mode at least comprises one of the following steps: images, text, sound, speech;
preferably, the reminding mode is that sound, images and characters are simultaneously used for reminding.
Optionally, the cloud computing-based intelligent lock fingerprint identification method at least includes one of the following processing steps, preferably, all of the processing steps include:
s6) identifying the live fingerprint: detecting whether the fingerprint is live or not by using image analysis or a live detection method;
using the living body identification method as described in the first embodiment, preferably, using the living body identification method one;
if the identification result is a living body, further identifying, and if the identification result is not the living body, failing to identify;
s7) face recognition: detecting the identity of a person recognizing the fingerprint by using a face recognition technology;
identifying whether a person to be identified is detected by using an image face identification technology;
mutually verifying the face recognition result and the fingerprint recognition result; the verification method comprises the following steps: if the fingerprint identification result and the face identification result are the same person, the verification is successful; if, not the same person, the verification fails;
s8) identity card reading: the terminal automatically reads the information of the identity card to obtain a unique identification code with a person to be identified;
using an identity card reader to obtain identity card information; optionally, comparing and checking with pre-stored identity card information;
mutually verifying the identification result of the identity card and the fingerprint identification result; the verification method comprises the following steps: if the fingerprint identification result and the identification card reading result are the same person, the verification is successful; if, not the same person, the verification fails;
s9), prompting staff by voice or voice on a remote customer service terminal;
after the remote customer service terminal receives the fingerprint information needing manual identification, the remote customer service terminal prompts workers by voice or voice;
s10), the remote host is a host of cloud computing or distributed computing;
preferably, the system is a cloud computing host;
s11) the remote customer service terminal does not display the specific identity information of the person to be identified (to avoid the tendency of artificial fingerprint identification).
Optionally, the cloud computing-based intelligent lock fingerprint identification method further includes the following processing steps, and preferably includes the following steps:
s12) on the mobile terminal, after selecting the unlocking function, the unlocking command is transmitted to the remote customer service host and/or the corresponding intelligent lock (when being transmitted to the remote customer service host, the unlocking command is transmitted to the corresponding intelligent lock). And after receiving the unlocking command, the intelligent lock verifies whether the unlocking command is correct, and if the unlocking command is correct, the intelligent lock unlocks. And the verification comprises password verification and direct unlocking. The direct unlocking refers to direct unlocking after the preset mobile terminal identity or user identity (user name and password) is verified.
Embodiment three
Fig. 3 is a flowchart of an intelligent lock-end fingerprint identification method based on cloud computing according to another embodiment of the present invention.
As shown in fig. 3, the cloud computing-based intelligent lock end fingerprint identification method includes the following processing steps:
s31) fingerprint identification failure determination: judging that the fingerprint identification fails when the identification fails for M times continuously or the identification fails after N seconds of continuous identification;
presetting basic information related to fingerprint identification, including a fingerprint library, identification equipment information, parameter setting and the like;
if the fingerprint identification is successful, the identification is finished; if the identification fails, starting counting or timing, preferably, simultaneously;
when the number of recognition failures is larger than a set value (the set value is 1 or more, preferably 5), or the recognition time exceeds a set time (the set time is 1 or more, preferably 3 seconds), the recognition is considered to be failed;
s32) sending the fingerprint identification information to the remote host: encrypting the related information of the fingerprint with failed local identification and then sending the encrypted information to a remote host; the fingerprint identification information includes: the fingerprint photo to be identified and the unique identification code of the person to be identified;
the unique identification code of the person to be identified is manually input or obtained through card reading equipment (such as an identity card reader and the like); preferably, the identification card is obtained through an identification card reader;
s33) receiving the remote end recognition result: the identification terminal receives a manual identification result sent by the remote host;
s34) the terminal processes the manual identification result: after receiving the manual identification result, the identification terminal reminds the identification result, determines the identity information of the user according to the fingerprint identification result, and selects whether to unlock; the reminding mode at least comprises one of the following steps: images, text, sound, speech;
preferably, the reminding mode is that sound, images and characters are simultaneously used for reminding.
Optionally, the cloud computing-based intelligent lock end fingerprint identification method at least includes one of the following processing steps, preferably, all of the processing steps include:
s35) identifying the live fingerprint: detecting whether the fingerprint is live or not by using image analysis or a live detection method;
using the living body identification method as described in the first embodiment, preferably, using the living body identification method one;
if the identification result is a living body, further identifying, and if the identification result is not the living body, failing to identify;
s36) face recognition: detecting the identity of a person recognizing the fingerprint by using a face recognition technology;
identifying whether a person to be identified is detected by using an image face identification technology;
mutually verifying the face recognition result and the fingerprint recognition result; the verification method comprises the following steps: if the fingerprint identification result and the face identification result are the same person, the verification is successful; if, not the same person, the verification fails;
s37) identity card reading: the terminal automatically reads the information of the identity card to obtain a unique identification code with a person to be identified;
using an identity card reader to obtain identity card information; optionally, comparing and checking with pre-stored identity card information;
mutually verifying the identification result of the identity card and the fingerprint identification result; the verification method comprises the following steps: if the fingerprint identification result and the identification card reading result are the same person, the verification is successful; if, not the same person, the authentication fails.
S38), after receiving the unlocking command, verifying whether the unlocking command is correct, and if the unlocking command is correct, unlocking. And the verification comprises password verification and direct unlocking. The direct unlocking refers to direct unlocking after the preset mobile terminal identity or user identity (user name and password) and an unlocking command are verified. The password authentication refers to the authentication of the input password (the password is input through a keyboard on the intelligent lock).
The above description is only an embodiment of the present invention, and the protection scope of the present invention is not limited thereto, and any person skilled in the art should modify or replace the present invention within the technical specification of the present invention.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. The utility model provides a fingerprint identification intelligence lock system based on cloud calculates which characterized in that: the intelligent lock comprises an intelligent lock fingerprint authentication remote customer service assisting device (a remote customer service device for short), a fingerprint identification intelligent lock and a communication network; wherein,
the remote customer service device comprises a remote customer service host and a remote customer service terminal; the remote customer service host is a host based on cloud computing and/or distributed computing; the remote customer service terminal is a computer terminal device; the remote customer service terminal is connected with the remote customer service host through a digital communication network;
the remote customer service host is connected with the fingerprint identification intelligent lock through a communication network;
the fingerprint identification intelligent lock comprises an intelligent lock control device; the intelligent lock control device comprises an intelligent lock controller, a fingerprint identification module and an intelligent lock communication module; the intelligent lock controller is a computer controller; the intelligent lock controller is connected with and matched with the fingerprint identification module and the intelligent lock communication module; the fingerprint identification module is used for identifying a fingerprint; the intelligent lock communication module is a network communication module; the fingerprint identification intelligent lock determines user identity information according to a fingerprint identification result and selects whether to unlock;
the communication network is a digital communication network and comprises a wired digital communication network, a wireless digital communication network and combination thereof;
and the intelligent lock communication module is connected with a remote customer service host through the communication network.
2. The fingerprint recognition smart lock system of claim 1, wherein: at least one of the following is also included:
1) the remote customer service terminal comprises a fixed terminal and/or a mobile terminal;
1) the fingerprint identification intelligent lock further comprises a fingerprint identification judging module and a far-end fingerprint identification module (the fingerprint identification judging module and the far-end fingerprint identification module are respectively connected with the intelligent lock controller in a matched mode); the fingerprint identification judging module is used for judging the failure of fingerprint identification when the same person fails in M continuous identification or fails in identification after N seconds of continuous identification, and sending a judgment conclusion to the intelligent lock controller and/or the remote fingerprint identification module; the remote fingerprint identification module is used for sending the fingerprint photos failed in identification to the remote customer service device and receiving the identification result returned by the remote customer service device;
2) the fingerprint identification intelligent lock also comprises a face identification module; the face recognition module is used for recognizing the head portrait of a person; mutually verifying the face recognition result and the fingerprint recognition result; the verification method comprises the following steps: if the fingerprint identification result and the face identification result are the same person, the verification is successful; if, not the same person, the verification fails;
3) the fingerprint identification intelligent lock also comprises an identity card identification module; the identity card identification module is used for identifying and reading an identity card; mutually verifying the identification result of the identity card and the fingerprint identification result; the verification method comprises the following steps: if the fingerprint identification result and the identification card reading result are the same person, the verification is successful; if, not the same person, the verification fails;
4) the fingerprint identification intelligent lock also comprises a living body identification module; the living body identification module is used for identifying whether the living body is a living body; if the recognition result is a living body, the recognition is further performed, and if the recognition result is not a living body, the recognition fails.
3. Fingerprint identification intelligence lock, its characterized in that: the intelligent lock control device is included; the intelligent lock control device comprises an intelligent lock controller, a fingerprint identification module and an intelligent lock communication module; the intelligent lock controller is a computer controller; the intelligent lock controller is connected with and matched with the fingerprint identification module and the intelligent lock communication module; the fingerprint identification module is used for identifying a fingerprint; the intelligent lock communication module is a network communication module; the fingerprint identification intelligent lock determines the identity information of a user according to the fingerprint identification result and selects whether to unlock.
4. An intelligent lock fingerprint identification method based on cloud computing is characterized in that: the method comprises the following processing steps:
s1) fingerprint identification failure determination: judging that the fingerprint identification fails when the identification fails for M times continuously or the identification fails after N seconds of continuous identification;
s2) sending the fingerprint identification information to the remote host: encrypting the related information of the fingerprint with failed local identification and then sending the encrypted information to a remote host; the fingerprint identification information includes: the fingerprint photo to be identified and the unique identification code of the person to be identified;
s3) sending the fingerprint identification information to the remote customer service terminal: the remote host decrypts the received fingerprint identification information, and sends the fingerprint identification information and the reserved fingerprint information (obtained according to the unique identification code of the person to be identified) to the remote customer service terminal;
s4) remote manual identification: on the screen of the remote customer service terminal, comparing and displaying the reserved fingerprint and the fingerprint photo to be identified; manually comparing whether the fingerprints are consistent or not, inputting a manual comparison result on a screen, and sending the manual comparison result to the remote host;
s5) the terminal processes the manual identification result: the remote host sends the manual identification result to the fingerprint identification intelligent lock; after receiving the manual identification result, the fingerprint identification intelligent lock reminds the identification result, determines the identity information of the user according to the fingerprint identification result, and selects whether to unlock; the reminding mode at least comprises one of the following steps: image, text, sound, voice.
5. The intelligent lock fingerprint identification method according to claim 4, characterized in that: at least one of the following processing steps is also included:
s6) identifying the live fingerprint: detecting whether the fingerprint is live or not by using image analysis or a live detection method; if the identification result is a living body, further identifying, and if the identification result is not the living body, failing to identify;
s7) face recognition: detecting the identity of a person recognizing the fingerprint by using a face recognition technology; mutually verifying the face recognition result and the fingerprint recognition result; the verification method comprises the following steps: if the fingerprint identification result and the face identification result are the same person, the verification is successful; if, not the same person, the verification fails;
s8) identity card reading: the terminal automatically reads the information of the identity card to obtain a unique identification code with a person to be identified; mutually verifying the identification result of the identity card and the fingerprint identification result; the verification method comprises the following steps: if the fingerprint identification result and the identification card reading result are the same person, the verification is successful; if, not the same person, the verification fails;
s9), prompting staff by voice or voice on a remote customer service terminal;
s10), the remote host is a host of cloud computing or distributed computing;
s11) the remote customer service terminal does not display the specific identity information of the person to be identified (to avoid the tendency of artificial fingerprint identification).
6. The intelligent lock fingerprint identification method according to claim 4, characterized in that: the method also comprises the following processing steps:
s12) on the mobile terminal, after selecting the unlocking function, the unlocking command is transmitted to the remote customer service host and/or the corresponding intelligent lock (when being transmitted to the remote customer service host, the unlocking command is transmitted to the corresponding intelligent lock). And after receiving the unlocking command, the intelligent lock verifies whether the unlocking command is correct, and if the unlocking command is correct, the intelligent lock unlocks. And the verification comprises password verification and direct unlocking. The direct unlocking refers to direct unlocking after the preset mobile terminal identity or user identity (user name and password) is verified.
7. An intelligent lock end fingerprint identification method based on cloud computing is characterized in that: the method comprises the following processing steps:
s31) fingerprint identification failure determination: judging that the fingerprint identification fails when the identification fails for M times continuously or the identification fails after N seconds of continuous identification;
s32) sending the fingerprint identification information to the remote host: encrypting the related information of the fingerprint with failed local identification and then sending the encrypted information to a remote host; the fingerprint identification information includes: the fingerprint photo to be identified and the unique identification code of the person to be identified;
s33) receiving the remote end recognition result: the identification terminal receives a manual identification result sent by the remote host;
s34) the terminal processes the manual identification result: after receiving the manual identification result, the identification terminal reminds the identification result, determines the identity information of the user according to the fingerprint identification result, and selects whether to unlock; the reminding mode at least comprises one of the following steps: image, text, sound, voice.
8. The intelligent lock end fingerprint identification method is characterized in that: at least one of the following processing steps is also included:
s35) identifying the live fingerprint: detecting whether the fingerprint is live or not by using image analysis or a live detection method; if the identification result is a living body, further identifying, and if the identification result is not the living body, failing to identify;
s36) face recognition: detecting the identity of a person recognizing the fingerprint by using a face recognition technology; mutually verifying the face recognition result and the fingerprint recognition result; the verification method comprises the following steps: if the fingerprint identification result and the face identification result are the same person, the verification is successful; if, not the same person, the verification fails;
s37) identity card reading: the terminal automatically reads the information of the identity card to obtain a unique identification code with a person to be identified; mutually verifying the identification result of the identity card and the fingerprint identification result; the verification method comprises the following steps: if the fingerprint identification result and the identification card reading result are the same person, the verification is successful; if, not the same person, the authentication fails.
S38) on the mobile terminal, after selecting the unlocking function, the unlocking command is transmitted to the remote customer service host and/or the corresponding intelligent lock (when being transmitted to the remote customer service host, the unlocking command is transmitted to the corresponding intelligent lock). And after receiving the unlocking command, the intelligent lock verifies whether the unlocking command is correct, and if the unlocking command is correct, the intelligent lock unlocks. And the verification comprises password verification and direct unlocking. The direct unlocking refers to direct unlocking after the preset mobile terminal identity or user identity (user name and password) is verified.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810266625.0A CN108335395A (en) | 2018-03-28 | 2018-03-28 | Fingerprint recognition smart lock based on cloud computing, system, method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810266625.0A CN108335395A (en) | 2018-03-28 | 2018-03-28 | Fingerprint recognition smart lock based on cloud computing, system, method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108335395A true CN108335395A (en) | 2018-07-27 |
Family
ID=62931602
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810266625.0A Withdrawn CN108335395A (en) | 2018-03-28 | 2018-03-28 | Fingerprint recognition smart lock based on cloud computing, system, method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108335395A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109861831A (en) * | 2019-03-24 | 2019-06-07 | 哈尔滨理工大学 | A kind of interactive authentication system and method based on recognition of face and Application on Voiceprint Recognition |
-
2018
- 2018-03-28 CN CN201810266625.0A patent/CN108335395A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109861831A (en) * | 2019-03-24 | 2019-06-07 | 哈尔滨理工大学 | A kind of interactive authentication system and method based on recognition of face and Application on Voiceprint Recognition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108203030A (en) | Fingerprint recognition intelligent elevator based on cloud computing, system, method | |
| CN108806041A (en) | Building access control method, Cloud Server and computer readable storage medium | |
| CN104935438A (en) | Method and apparatus for identity verification | |
| CN105261105A (en) | Safety access control method | |
| CN106845368A (en) | Airport boarding safety check based on recognition of face confirms system and method again | |
| CN107909683A (en) | Realize method, terminal device and the computer-readable recording medium of boarding | |
| JP2000011176A (en) | Certifying device and storage medium | |
| CN105809005A (en) | Method for locking or unlocking computer screen based on fingerprints | |
| CN108932760A (en) | Work attendance method and terminal based on recognition of face | |
| CN107885989A (en) | Signing messages acquisition method, signature verification method and electric signing system | |
| CN108447168A (en) | Recognition of face intelligent unlocking method, system, intelligent door lock and storage medium | |
| CN109670298A (en) | A kind of register method and system for identification | |
| CN115660627A (en) | Registration training method for attendance checking of personnel | |
| CN108460880A (en) | Fingerprint recognition intelligent gate based on cloud computing, system, method | |
| CN114550360A (en) | Access control system | |
| CN108268918A (en) | Fingerprint recognition police service self-aided terminal based on cloud computing, system, method | |
| CN108319936A (en) | Fingerprint recognition people society self-aided terminal based on cloud computing, system, method | |
| CN108230587A (en) | The fingerprint recognition tax based on cloud computing（It is industrial and commercial）Self-aided terminal, system, method | |
| CN108230528A (en) | Fingerprint recognition intelligent queuing device based on cloud computing, system, method | |
| CN108335395A (en) | Fingerprint recognition smart lock based on cloud computing, system, method | |
| KR20220067918A (en) | Apparatus and Method for Face Authentication using Digital ID | |
| EP3979215A1 (en) | Ticket issuing system, ticket checking device, and program | |
| CN113315639A (en) | Identity authentication system and method | |
| WO2023159462A1 (en) | Identity authentication method and apparatus, terminal, storage medium and program product | |
| CN108229453A (en) | Fingerprint identification device, method based on cloud computing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180727 |
|
| WW01 | Invention patent application withdrawn after publication |