CN113362499A - Embedded face recognition intelligent door lock - Google Patents
Embedded face recognition intelligent door lock Download PDFInfo
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- CN113362499A CN113362499A CN202110571253.4A CN202110571253A CN113362499A CN 113362499 A CN113362499 A CN 113362499A CN 202110571253 A CN202110571253 A CN 202110571253A CN 113362499 A CN113362499 A CN 113362499A
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- unlocking
- certificate
- door lock
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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
- G07C2009/00634—Power supply for the lock
- G07C2009/00642—Power supply for the lock by battery
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- General Physics & Mathematics (AREA)
- Lock And Its Accessories (AREA)
- Collating Specific Patterns (AREA)
Abstract
The application discloses embedded face identification intelligence lock relates to intelligent lock technique, includes: the camera module is used for shooting a human face and used as a first unlocking certificate; the unlocking certificate input module is used for acquiring a second unlocking certificate; the processing module is used for extracting the characteristics of the first unlocking certificate when the second unlocking certificate passes the verification to obtain first characteristics, and correcting the face characteristics of the user corresponding to the second unlocking certificate according to the first characteristics, wherein the face characteristics are stored in the processing module; and the unlocking module is used for executing unlocking when at least one of the first unlocking certificate and the second unlocking certificate is verified. The face characteristics of the user can be continuously corrected, face recognition for the user can be continuously optimized, and recognition accuracy is improved without re-entry of the user.
Description
Technical Field
The application relates to an intelligent door lock, in particular to an embedded type face recognition intelligent door lock.
Background
In the prior art, the intelligent door lock comprises a coded lock, a fingerprint lock, a face recognition lock and the like, and the face recognition technology influences the face recognition result due to dressing, dressing and the like of a user in the recognition process, so that the accuracy of face recognition is reduced in the use process.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an embedded face recognition intelligent door lock for dynamically updating the face features of a user so as to maintain the face recognition accuracy.
The embodiment of the application provides:
an embedded face recognition intelligent door lock, comprising:
the camera module is used for shooting a human face and used as a first unlocking certificate;
the unlocking certificate input module is used for acquiring a second unlocking certificate;
the processing module is used for extracting the characteristics of the first unlocking certificate when the second unlocking certificate passes the verification to obtain first characteristics, and correcting the face characteristics of the user corresponding to the second unlocking certificate according to the first characteristics, wherein the face characteristics are stored in the processing module; and the unlocking module is used for executing unlocking when at least one of the first unlocking certificate and the second unlocking certificate is verified.
In some embodiments, the unlocking credential input module is a password keypad or a fingerprint recognition module.
In some embodiments, the first feature and the face feature of the user are both represented as vectors;
the modifying the face feature of the user corresponding to the second unlocking certificate according to the first feature includes:
and weighting the face features of the user corresponding to the first feature and the second unlocking certificate according to a preset proportion.
In some embodiments, the door lock is powered by a battery, which may include a dry cell or a lithium cell.
In some embodiments, the door lock further comprises a proximity detection unit for detecting a living being in proximity;
and the processing module controls the working state of the camera module according to the output signal of the proximity detection unit.
In some embodiments, the intelligent door lock further comprises a wireless communication unit for uploading images taken by the camera module and for receiving configuration information.
In some embodiments, the processing module is further configured to configure an unlocking condition according to the configuration information, wherein the configurable unlocking condition includes one of:
the first unlocking certificate and the second unlocking certificate are verified;
the first unlocking credential or the second unlocking credential is verified.
In some embodiments, the processing module is further configured to perform dynamic picture detection according to an image captured by the camera module, and when a dynamic picture is detected, send, by the server, to the client, prompt information including the dynamic picture.
In some embodiments, the processing module is further configured to upload unlocking information to a server for recording, and send the unlocking information to the client through the server, where the unlocking information includes unlocking time and an unlocking user.
In some embodiments, the camera module comprises a light sensing element and an illumination assembly, and the processing module controls the illumination assembly according to a signal of the light sensing element, wherein the processing module controls the illumination assembly to be activated when the light intensity detected by the light sensing element is lower than a threshold value and the proximity detection unit detects a living being.
According to the embodiment of the application, the first unlocking certificate is collected through the camera, the second unlocking certificate is obtained through the unlocking certificate input module, when the second unlocking certificate passes verification, feature extraction is carried out on the first unlocking certificate, the face features of the user corresponding to the second unlocking certificate are corrected through the obtained first features, and therefore the face features of the user can be continuously corrected, face recognition of the user can be continuously optimized, and the user does not need to enter again.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a block diagram of an embedded face recognition intelligent door lock;
fig. 2 is a flow chart of the operation of the embedded face recognition intelligent door lock.
Detailed Description
In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below through embodiments with reference to the accompanying drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present invention, the meaning of a plurality is one or more, the meaning of a plurality is two or more, and the above, below, exceeding, etc. are understood as excluding the present numbers, and the above, below, within, etc. are understood as including the present numbers. If the first and second are described for the purpose of distinguishing technical features, they are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
In the description of the present invention, unless otherwise explicitly defined, terms such as set, etc. should be broadly construed, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the detailed contents of the technical solutions.
In the description of the present invention, reference to the description of the terms "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples," etc., means that a particular feature or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Referring to fig. 1 and 2, the present embodiment discloses an embedded face recognition intelligent door lock, including:
the camera module is used for shooting a human face and used as a first unlocking certificate. It will be appreciated that the camera module may be a camera mounted on the door lock or a camera mounted separately from the door lock. Its main function is used for shooing the people's face to as first unblock voucher.
The unlocking certificate input module is used for acquiring a second unlocking certificate;
the processing module is used for extracting the characteristics of the first unlocking certificate when the second unlocking certificate passes the verification to obtain first characteristics, and correcting the face characteristics of the user corresponding to the second unlocking certificate according to the first characteristics, wherein the face characteristics are stored in the processing module; and the unlocking module is used for executing unlocking when at least one of the first unlocking certificate and the second unlocking certificate is verified.
It is understood that the second unlocking credential may be a password, a fingerprint, a palm print, a voice print, and the like. In this embodiment, the first feature actually refers to a face feature. And the face of the user may change some time, which results in poor recognition result. Therefore, the facial features of the user, which are stored in the door lock in advance, are corrected through the first features, and the accuracy of the facial recognition can be improved in a continuous correction mode. It will be appreciated that the generic face features may be represented by vectors or tensors, and thus the existing features may be modified by weighting the existing features and the new features. Of course, the face features of the user may be corrected by performing secondary learning or the like on the features of the user using the model. In this embodiment, the condition for triggering the correction is that the second unlocking credential of the user passes the verification, so that the wrong collection of the features of other people can be avoided. And for the unlocking mode, double-verification unlocking can be adopted, namely, the unlocking is completed when both the two unlocking vouchers pass. Or unlocking is realized by adopting any certificate unlocking mode. The user can configure the system based on actual needs.
In the embodiment, the first unlocking certificate is acquired through the camera, the second unlocking certificate is acquired through the unlocking certificate input module, when the second unlocking certificate passes verification, feature extraction is carried out on the first unlocking certificate, and the obtained first features are used for correcting the face features of the user corresponding to the second unlocking certificate, so that the face features of the user can be continuously corrected, the face recognition of the user can be continuously optimized, and the user does not need to enter again. This avoids the need for the user to repeatedly enter credentials.
In some embodiments, the unlocking credential input module is a password keypad or a fingerprint recognition module. It is understood that in the present embodiment, the unlocking credential input module may be a password keyboard, wherein the password keyboard generally adopts a waterproof numeric keyboard. This may increase the durability of the keyboard. The fingerprint identification module can be an optical fingerprint identification module such as a fingerprint card punching machine. Among them, the fingerprint Sensor (also called fingerprint Sensor) is a key device for realizing automatic fingerprint collection. Fingerprint sensors are classified into optical fingerprint sensors, semiconductor capacitance sensors, semiconductor heat-sensitive sensors, semiconductor pressure-sensitive sensors, ultrasonic sensors, radio frequency RF sensors, and the like, according to the sensing principle, that is, the fingerprint imaging principle and technology. The manufacturing technology of the fingerprint sensor is a high and new technology with strong comprehensiveness, high technical complexity and difficult manufacturing process.
In some embodiments, the first feature and the face feature of the user are both represented as vectors;
the modifying the face feature of the user corresponding to the second unlocking certificate according to the first feature includes:
and weighting the face features of the user corresponding to the first feature and the second unlocking certificate according to a preset proportion.
It will be appreciated that the first feature and the facial features of the user are each represented as a vector, e.g. (a 1, a2, … …, an), which is convenient to compute and store. In this embodiment, the first feature and the face feature of the user are weighted according to a preset ratio, for example, a ratio of 1: 100. Of course, other ratios may be used. The vector representation is utilized, the similarity comparison between the two is facilitated, and the similarity between the two can be judged by adopting the Euclidean geometric distance.
In some embodiments, the door lock is powered by a battery, which may include a dry cell or a lithium cell. In this embodiment, the door lock of this solution is embedded, and it is usually installed on the door, and it is inconvenient to adopt the commercial power as the power supply due to the wiring problem. This is usually solved by dry batteries, but in some embodiments, it may be implemented by rechargeable lithium batteries.
In some embodiments, the door lock further comprises a proximity detection unit for detecting a living being in proximity;
and the processing module controls the working state of the camera module according to the output signal of the proximity detection unit.
Since the power of the door lock is not available continuously, saving power is of great significance to the operation of the door lock. In this embodiment, an infrared sensor may be provided to detect whether a user approaches, and the face recognition may be performed by the camera module only when the user approaches. Therefore, the electric quantity of the door lock can be greatly saved, and the power consumption of the door lock is reduced.
In some embodiments, the intelligent door lock further comprises a wireless communication unit for uploading images taken by the camera module and for receiving configuration information.
In this embodiment, wireless communication units such as wifi, bluetooth, etc. may be used in cooperation, and these units are used for connecting with devices such as a mobile phone or a server. When the electric quantity is sufficient or in a charging state, images shot by the camera module can be uploaded through the wireless communication unit to be used as monitoring videos or videos during unlocking. Of course, since there are more than one door opening devices in the door lock, the door lock opening mode can be further configured by a device such as a mobile phone or a server. For example, the door lock is bound through the Bluetooth of a mobile phone, and the configuration information of the door lock is controlled by sending information through the Bluetooth near the door lock.
In some embodiments, the processing module is further configured to configure an unlocking condition according to the configuration information, wherein the configurable unlocking condition includes one of:
the first unlocking certificate and the second unlocking certificate are verified;
the first unlocking credential or the second unlocking credential is verified.
In the embodiment, the configurable forms of the door lock are listed, which include a mode that the first unlocking certificate and the second unlocking certificate pass the verification at the same time, and also include a mode that the first unlocking certificate and the second unlocking certificate both pass the verification. It should be understood that the process of verification is to compare the unlocking credential with the pre-stored user credential, and the result of comparison is that the similarity is greater than the threshold or identical. For example, the password credentials use the same rule, and the face recognition mode requires that the similarity is greater than a threshold.
In some embodiments, the processing module is further configured to perform dynamic picture detection according to an image captured by the camera module, and when a dynamic picture is detected, send, by the server, to the client, prompt information including the dynamic picture. It can be understood that uploading the dynamic picture to the server can be used as a security video. The dynamic picture generally refers to a video picture corresponding to a picture shot by a camera when a setting degree changes. Generally, a dynamic picture is generated when a person approaches a door lock or a user unlocks the door lock, so that the unlocked user or other persons approaching the door lock can be effectively recorded or shot.
In some embodiments, the processing module is further configured to upload unlocking information to a server for recording, and send the unlocking information to the client through the server, where the unlocking information includes unlocking time and an unlocking user. In this embodiment, the behavior of each offer is recorded by the server, and the offer information is sent to the mobile phone client of the user, and the user can browse the records through the mobile phone client. In some embodiments, the information about the post is accompanied by a dynamic picture before unlocking.
In some embodiments, the camera module comprises a light sensing element and an illumination assembly, and the processing module controls the illumination assembly according to a signal of the light sensing element, wherein the processing module controls the illumination assembly to be activated when the light intensity detected by the light sensing element is lower than a threshold value and the proximity detection unit detects a living being. In this embodiment, the face recognition device further includes a light sensing element, the polished rod element may be implemented by a device such as a photo resistor, and the processing module detects the intensity of the current optical fiber according to the light sensing element to determine whether the lighting assembly needs to be started when the face recognition is currently performed. In this embodiment, the light sensing element and the proximity detection unit are used in cooperation to determine whether to start the lighting assembly, thereby greatly saving power.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the application. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the appended claims.
Claims (10)
1. The utility model provides an embedded face identification intelligence lock which characterized in that includes:
the camera module is used for shooting a human face and used as a first unlocking certificate;
the unlocking certificate input module is used for acquiring a second unlocking certificate;
the processing module is used for extracting the characteristics of the first unlocking certificate when the second unlocking certificate passes the verification to obtain first characteristics, and correcting the face characteristics of the user corresponding to the second unlocking certificate according to the first characteristics, wherein the face characteristics are stored in the processing module; and the unlocking module is used for executing unlocking when at least one of the first unlocking certificate and the second unlocking certificate is verified.
2. The embedded face recognition intelligent door lock of claim 1, wherein the unlocking credential input module is a password keyboard or a fingerprint recognition module.
3. The embedded face recognition intelligent door lock of claim 1, wherein the first feature and the face feature of the user are both represented by vectors;
the modifying the face feature of the user corresponding to the second unlocking certificate according to the first feature includes:
and weighting the face features of the user corresponding to the first feature and the second unlocking certificate according to a preset proportion.
4. The embedded type face recognition intelligent door lock of claim 1, wherein the door lock is powered by a battery, and the battery comprises a dry battery or a lithium battery.
5. The embedded face recognition intelligent door lock of claim 1, wherein the door lock further comprises a proximity detection unit for detecting a biological in proximity;
and the processing module controls the working state of the camera module according to the output signal of the proximity detection unit.
6. The embedded face recognition intelligent door lock of claim 1, further comprising a wireless communication unit for uploading images captured by the camera module and for receiving configuration information.
7. The embedded face recognition intelligent door lock of claim 6, wherein the processing module is further configured to configure unlocking conditions according to the configuration information, wherein the configurable unlocking conditions include one of:
the first unlocking certificate and the second unlocking certificate are verified;
the first unlocking credential or the second unlocking credential is verified.
8. The embedded face recognition intelligent door lock according to claim 1, wherein the processing module is further configured to perform dynamic picture detection according to the image captured by the camera module, and when a dynamic picture is detected, send a prompt message containing the dynamic picture to a client through a server.
9. The embedded type face recognition intelligent door lock according to claim 8, wherein the processing module is further configured to upload unlocking information to a server for recording, and send the unlocking information to the client through the server, wherein the unlocking information includes unlocking time and an unlocking user.
10. The embedded type face recognition intelligent door lock as claimed in claim 5, wherein the camera module comprises a light sensing element and an illumination assembly, and the processing module controls the illumination assembly according to the signal of the light sensing element, wherein the processing module controls the illumination assembly to be activated when the light intensity detected by the light sensing element is lower than a threshold value and the proximity detection unit detects a living being.
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| CN202110571253.4A CN113362499A (en) | 2021-05-25 | 2021-05-25 | Embedded face recognition intelligent door lock |
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| CN202110571253.4A CN113362499A (en) | 2021-05-25 | 2021-05-25 | Embedded face recognition intelligent door lock |
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Cited By (1)
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| CN115482608A (en) * | 2021-12-02 | 2022-12-16 | 云丁网络技术(北京)有限公司 | Control method and system of intelligent lock |
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