CN117576812A - Unlocking control method and device, computer equipment and storage medium - Google Patents
Unlocking control method and device, computer equipment and storage medium Download PDFInfo
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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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/316—User authentication by observing the pattern of computer usage, e.g. typical user behaviour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/36—User authentication by graphic or iconic representation
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Abstract
The invention relates to the technical field of unlocking control, and discloses an unlocking control method, an unlocking control device, computer equipment and a storage medium, wherein the unlocking control method comprises the following steps: obtaining a visible light video image, performing image processing on the visible light video image, and determining unlocking authority of a user; acquiring a user unlocking gesture image, and comparing the user unlocking gesture image with a preset unlocking gesture image bound with the user unlocking authority; and when the unlocking gesture image of the user is the same as the preset unlocking gesture image, controlling the intelligent lock to execute unlocking operation. The invention avoids repeated awakening of the intelligent lock, improves the unlocking success rate and accuracy and improves the user experience.
Description
Technical Field
The invention relates to the technical field of unlocking control, in particular to an unlocking control method, an unlocking control device, computer equipment and a storage medium.
Background
The intelligent door lock is an improved lock which is different from the traditional mechanical lock and is more intelligent and simplified in terms of user safety, identification and manageability, and the intelligent door lock is a composite lock with safety, convenience and advanced technology, which is different from the traditional mechanical lock.
The intelligent lock with the visual recognition unlocking mode, such as the intelligent lock with face recognition and palm vein recognition, is used for dual recognition authentication started on functional service, and is usually added with another non-visual recognition mode, so that the user cannot get close to the intelligent lock completely and immediately to open the door. And only single vision discernment is opened the door, in daily apartment, civilian house, the people is from beginning to end, and the easy incessantly awaken discernment of waiting and report the problem such as discernment failure, influence the unblanking success rate, and cause the neighborhood puzzlement.
Disclosure of Invention
In view of the above, the invention provides an unlocking control method, an unlocking control device, a computer device and a storage medium, so as to solve the problems that the related visual recognition unlocking mode is easy to cause unfriendly user experience, and the unlocking success rate is easy to be influenced by continuous awakening recognition.
In a first aspect, the present invention provides an unlocking control method, including:
obtaining a visible light video image, performing image processing on the visible light video image, and determining unlocking authority of a user;
acquiring a user unlocking gesture image, and comparing the user unlocking gesture image with a preset unlocking gesture image bound with the user unlocking authority; the user unlocking gesture image is a user hand gesture image;
and when the unlocking gesture image of the user is the same as the preset unlocking gesture image, controlling the intelligent lock to execute unlocking operation.
According to the unlocking control method, unlocking operation is controlled to be executed by the intelligent lock through double authentication of the unlocking authority of the user and the unlocking gesture image of the user, repeated awakening of the intelligent lock is avoided, unlocking success rate and accuracy are improved, and user experience is improved.
In an alternative embodiment, performing image processing on the visible light video image to determine unlocking authority of the user includes:
carrying out matting processing on the visible light video image to generate a face image;
determining a face feature code based on the face image, and determining a user identification based on the face feature code;
and determining the unlocking authority of the user based on the user identification.
According to the unlocking control method, the accurate extraction of the face image is achieved through the image matting processing of the visible light video image, the user identification is determined through the face feature code, and then the unlocking authority of the user is determined, so that the accurate identification of the unlocking authority of the user is achieved.
In an alternative embodiment, before obtaining the visible light video image, performing image processing on the visible light video image, and determining the unlocking authority of the user, the method further includes:
acquiring a face image, a palm vein image and a hand posture image of a user, and combining the face image, the palm vein image and the hand posture image to generate a preset unlocking posture image;
acquiring a background function of the intelligent lock, and binding a preset unlocking gesture image with the background function of the intelligent lock;
and acquiring a user identifier, correlating the user identifier with a preset unlocking gesture image after binding the background function of the intelligent lock, generating an unlocking control mode, and storing the unlocking control mode into a database.
According to the unlocking control method, through preset unlocking gesture images, the background function of the intelligent lock and binding association among user identifiers, the unlocking control mode is set, and a foundation is laid for executing unlocking control on the follow-up intelligent lock.
In an alternative embodiment, the method further comprises:
and calling the intelligent lock background function in the database based on the unlocking gesture image of the user, and executing the intelligent lock background function.
According to the unlocking control method, the intelligent lock background function is obtained and executed through the unlocking gesture image of the user, so that the intelligent lock background function is further expanded, and the execution efficiency of the intelligent lock background function is improved.
In a second aspect, the present invention provides an unlocking control apparatus, comprising:
the image processing module is used for acquiring a visible light video image, performing image processing on the visible light video image and determining unlocking authority of a user;
the comparison module is used for collecting the unlocking gesture of the user and comparing the unlocking gesture of the user with a preset unlocking gesture bound with the unlocking authority of the user; the user unlocking gesture image is a user hand gesture image;
and the unlocking module is used for controlling the intelligent lock to execute unlocking operation when the unlocking gesture of the user is the same as the preset unlocking gesture.
In an alternative embodiment, an image processing module includes:
the image matting processing unit is used for performing image matting processing on the visible light video image to generate a face image;
the first determining unit is used for determining a face feature code based on the face image and determining a user identification based on the face feature code;
and the second determining unit is used for determining the unlocking authority of the user based on the user identification.
In an alternative embodiment, the method further comprises:
the combination module is used for acquiring a face image, a palm vein image and a hand gesture image of a user, and combining the face image, the palm vein image and the hand gesture image to generate a preset unlocking gesture image;
the binding module is used for acquiring the background function of the intelligent lock and binding the preset unlocking gesture image with the background function of the intelligent lock;
the association module is used for acquiring the user identification, associating the user identification with the preset unlocking gesture image after binding the background function of the intelligent lock, generating an unlocking control mode, and storing the unlocking control mode into the database.
In an alternative embodiment, the method further comprises:
and the calling module is used for calling the intelligent lock background function in the database based on the unlocking gesture image of the user and executing the intelligent lock background function.
In a third aspect, the present invention provides a computer device comprising: the processor executes the computer instructions, thereby executing an unlocking control method according to the first aspect or any implementation manner corresponding to the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon computer instructions for causing a computer to execute an unlocking control method of the first aspect or any one of the embodiments corresponding thereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an unlocking control method according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method of unlocking control according to an embodiment of the present invention;
FIG. 3 is a flow chart of yet another method of unlocking control according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the association of a user unlocking gesture with a smart lock background function in accordance with an embodiment of the present invention;
FIG. 5 is a schematic diagram of a visual recognition door opening mode entry flow according to an embodiment of the present invention;
FIG. 6 is a flow diagram of multiple authentication unlocking according to an embodiment of the present invention;
FIG. 7 is a block diagram of an unlocking control apparatus according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention provides an unlocking control method which is applied to mobile terminals such as mobile phones, tablet computers and the like.
According to an embodiment of the present invention, there is provided an unlocking control method embodiment, it being noted that the steps shown in the flowcharts of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that herein.
In this embodiment, an unlocking control method is provided, which may be used in the above mobile terminal, such as a mobile phone, a tablet pc, etc., fig. 1 is a flowchart of an unlocking control method according to an embodiment of the present invention, and as shown in fig. 1, the flowchart includes the following steps:
step S101, obtaining a visible light video image, performing image processing on the visible light video image, and determining unlocking authority of a user.
Specifically, when a radar or an infrared sensor arranged on the intelligent lock is used for sensing a human body, a human face or gesture is started to collect.
Step S102, acquiring a user unlocking gesture image, and comparing the user unlocking gesture image with a preset unlocking gesture image bound with the user unlocking authority.
The unlocking gesture image of the user is a hand gesture image of the user or other visual images.
Specifically, after the user unlocking gesture image is a user face area with user unlocking authority, the user unlocking gesture image is acquired in the user face area, so that when the visible light video image contains a plurality of faces, the acquisition of the user unlocking gesture image is prevented from being confused.
Step S103, when the unlocking gesture image of the user is the same as the preset unlocking gesture image, the intelligent lock is controlled to execute unlocking operation.
Specifically, if the unlocking gesture image of the user is different from the preset unlocking gesture image, judging whether the unlocking time is overtime, and if the unlocking time is overtime, unlocking fails; if the unlocking time is not overtime, displaying 'wrong gesture' at the screen of the intelligent lock, and further collecting unlocking gesture images of the user again.
According to the unlocking control method, unlocking operation is controlled to be executed by the intelligent lock through double authentication of the unlocking authority of the user and the unlocking gesture image of the user, repeated awakening of the intelligent lock is avoided, unlocking success rate and accuracy are improved, and user experience is improved.
In this embodiment, an unlocking control method is provided, which may be used in the above mobile terminal, such as a mobile phone, a tablet pc, etc., fig. 2 is a flowchart of an unlocking control method according to an embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
step S201, a visible light video image is obtained, image processing is carried out on the visible light video image, and unlocking authority of a user is determined.
Specifically, the step S201 includes:
and step S2011, performing matting processing on the visible light video image to generate a face image.
Specifically, a GAN algorithm (Generative Adversarial Network, generating an countermeasure network) or a videomate algorithm is adopted to perform a matting process, that is, to identify a face region, so as to obtain a face image.
Step S2012, face feature codes are determined based on the face images, and user identifications are determined based on the face feature codes.
Specifically, key points in the face image are extracted, and a vector representation (high-dimensional vector) is generated by using pixel information of an area around the key points, namely a face feature code.
Step S2013, determining the unlocking authority of the user based on the user identification.
Specifically, if the user identifier is matched with the user identifier in the database, determining the unlocking authority of the user corresponding to the user identifier by using the database, and if the user identifier is not matched with the user identifier, failing to unlock.
Step S202, acquiring a user unlocking gesture image, and comparing the user unlocking gesture image with a preset unlocking gesture image bound with the user unlocking authority. Please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S203, when the unlocking gesture image of the user is the same as the preset unlocking gesture image, the intelligent lock is controlled to execute unlocking operation. Please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein.
According to the unlocking control method, the accurate extraction of the face image is achieved through the image matting processing of the visible light video image, the user identification is determined through the face feature code, and then the unlocking authority of the user is determined, so that the accurate identification of the unlocking authority of the user is achieved.
In this embodiment, an unlocking control method is provided, which may be used in the above mobile terminal, such as a mobile phone, a tablet pc, etc., fig. 3 is a flowchart of an unlocking control method according to an embodiment of the present invention, and as shown in fig. 3, the flowchart includes the following steps:
step S301, a face image, a palm vein image and a hand posture image of a user are obtained, and the face image, the palm vein image and the hand posture image are combined to generate a preset unlocking posture image.
Specifically, the user can select any one unlocking mode of the face image, the palm vein image and the hand gesture image, can select a combined unlocking mode of the face image, the palm vein image and the hand gesture image, and can also add other visual recognition unlocking modes.
Step S302, acquiring a background function of the intelligent lock, and binding a preset unlocking gesture image with the background function of the intelligent lock.
Specifically, the limited use environment and the current general scheme of the intelligent lock are that for the menu operation corresponding to the background function of the intelligent lock, the function multiplexing of screen touch, keys or password number keys outside the door is generally realized, the gesture recognition can bind specific gestures with the jump rotation of the menu, such as returning, determining, page turning, specific menu selection and the like, and the non-touch menu operation is carried out in combination with the menu broadcasting of voice, as shown in fig. 4, the background function of the intelligent lock comprises determining, returning and menus 1-5, and different hand gesture images are bound for different background functions of the intelligent lock.
Further, the intelligent lock background function comprises hidden functions such as normal door opening and clamping door opening, so as to cope with different emergency situations.
Step S303, a user identifier is obtained, the user identifier is associated with a preset unlocking gesture image after the background function of the intelligent lock is bound, an unlocking control mode is generated, and the unlocking control mode is stored in a database.
Step S304, a visible light video image is obtained, image processing is carried out on the visible light video image, and unlocking authority of a user is determined. Please refer to step S201 in the embodiment shown in fig. 2 in detail, which is not described herein.
Step S305, acquiring a user unlocking gesture image, and comparing the user unlocking gesture image with a preset unlocking gesture image bound with the user unlocking authority. Please refer to step S202 in the embodiment shown in fig. 2, which is not described herein.
Step S306, when the unlocking gesture image of the user is the same as the preset unlocking gesture image, the intelligent lock is controlled to execute unlocking operation.
Specifically, the intelligent lock background function is called in the database based on the unlocking gesture image of the user, and the intelligent lock background function is executed.
According to the unlocking control method, through preset unlocking gesture images, the background function of the intelligent lock and binding association among user identifiers, the unlocking control mode is set, and a foundation is laid for executing unlocking control on the follow-up intelligent lock.
The following describes specific steps of an unlocking control method by means of specific embodiments.
Example 1:
first, as shown in fig. 5, a visual recognition door opening mode is entered:
step one, a user can select an existing user, and then a database queries the user identification; when the user selects a new user, the user creates the new user in a self-defined way and generates the identification of the new user;
step two, a user selects to input an unlocking mode, wherein the unlocking mode is a combination unlocking mode of a face image, a palm vein image and a hand gesture image, so that the gestures of the face, the palm vein and the hand are input, and corresponding unlocking identifications are respectively generated;
step three, associating the input unlocking mode with the user identifier to obtain a preset unlocking gesture corresponding to the user identifier;
step four, associating the gesture with the intelligent lock background function and writing the gesture into a database; the intelligent lock background function comprises hidden functions such as normal door opening, clamping door opening and the like;
step five: and confirming whether a new unlocking mode is needed, and if not, finishing the input of the visual identification door opening mode.
Next, as shown in fig. 6, multiple authentication unlocking is performed based on an input visual identification door opening mode, and specific steps include:
step one, when radar or infrared induction is induced to a human body, face or gesture recognition is started, and a visible light video image is acquired;
step two, video matting is carried out on the visible light video image, and feature codes (namely face feature codes) are generated based on all the matting;
step three, comparing and inquiring the feature codes with a database, searching user IDs (namely user identifications) corresponding to all faces in the visible light video image picture, and further determining unlocking authority of the user;
step four, based on unlocking authority of the user, the intelligent lock lights up to prompt, or the voice prompts the user to display the door opening gesture (namely the unlocking gesture of the user);
fifthly, recognizing a gesture in a face area with a door opening function, judging whether the gesture is a preset unlocking gesture bound under the user identifier, and if the gesture is the preset unlocking gesture bound under the user identifier, successfully opening the door;
step six, matching the gesture function, further determining whether the gesture corresponds to a background function, and executing a background hiding function if the gesture function is successfully matched;
step seven, if the gesture does not belong to the preset unlocking gesture bound under the user identifier, judging whether unlocking is overtime, if not, re-acquiring the unlocking gesture of the user, and repeating the steps five to seven; if the time is out, judging that the unlocking fails.
In this embodiment, an unlocking control device is further provided, and the unlocking control device is used to implement the foregoing embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The present embodiment provides an unlocking control apparatus, as shown in fig. 7, including:
the image processing module 701 is configured to acquire a visible light video image, perform image processing on the visible light video image, and determine unlocking authority of a user;
the comparison module 702 is configured to collect a user unlocking gesture, and compare the user unlocking gesture with a preset unlocking gesture bound with the user unlocking authority;
and the unlocking module 703 is used for controlling the intelligent lock to execute unlocking operation when the unlocking gesture of the user is the same as the preset unlocking gesture.
In some alternative embodiments, the image processing module 701 includes:
the image matting processing unit is used for performing image matting processing on the visible light video image to generate a face image;
the first determining unit is used for determining a face feature code based on the face image and determining a user identification based on the face feature code;
and the second determining unit is used for determining the unlocking authority of the user based on the user identification.
In some alternative embodiments, further comprising:
the combination module is used for acquiring a face image, a palm vein image and a hand gesture image of a user, and combining the face image, the palm vein image and the hand gesture image to generate a preset unlocking gesture image;
the binding module is used for acquiring the background function of the intelligent lock and binding the preset unlocking gesture image with the background function of the intelligent lock;
the association module is used for acquiring the user identification, associating the user identification with the preset unlocking gesture image after binding the background function of the intelligent lock, generating an unlocking control mode, and storing the unlocking control mode into the database.
In some alternative embodiments, further comprising:
and the calling module is used for calling the intelligent lock background function in the database based on the unlocking gesture image of the user and executing the intelligent lock background function.
Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.
An unlocking control in this embodiment is presented in the form of functional units, herein referred to as ASIC (Application Specific Integrated Circuit ) circuits, processors and memories executing one or more software or firmware programs, and/or other devices that provide the above described functionality.
The embodiment of the invention also provides computer equipment, which is provided with the unlocking control device shown in the figure 7.
Referring to fig. 8, fig. 8 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 8, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 8.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform the methods shown in implementing the above embodiments.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device further comprises input means 30 and output means 40. The processor 10, memory 20, input device 30, and output device 40 may be connected by a bus or other means, for example in fig. 8.
The input device 30 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the computer apparatus, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointer stick, one or more mouse buttons, a trackball, a joystick, and the like. The output means 40 may include a display device, auxiliary lighting means (e.g., LEDs), tactile feedback means (e.g., vibration motors), and the like. Such display devices include, but are not limited to, liquid crystal displays, light emitting diodes, displays and plasma displays. In some alternative implementations, the display device may be a touch screen.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (10)
1. An unlocking control method, characterized in that the method comprises the following steps:
obtaining a visible light video image, performing image processing on the visible light video image, and determining unlocking authority of a user;
collecting a user unlocking gesture image, and comparing the user unlocking gesture image with a preset unlocking gesture image bound with the user unlocking authority;
and when the unlocking gesture image of the user is the same as the preset unlocking gesture image, controlling the intelligent lock to execute unlocking operation.
2. The method of claim 1, wherein the performing image processing on the visible light video image to determine a user unlocking right comprises:
carrying out matting processing on the visible light video image to generate a face image;
determining a face feature code based on the face image, and determining a user identification based on the face feature code;
and determining the unlocking authority of the user based on the user identification.
3. The method of claim 1, wherein prior to said capturing a visible light video image, performing image processing on said visible light video image to determine user unlocking rights, further comprising:
acquiring a face image, a palm vein image and a hand gesture image of a user, and combining the face image, the palm vein image and the hand gesture image to generate the preset unlocking gesture image;
acquiring a background function of the intelligent lock, and binding the preset unlocking gesture image with the background function of the intelligent lock;
and acquiring a user identifier, correlating the user identifier with a preset unlocking gesture image after binding the background function of the intelligent lock, generating an unlocking control mode, and storing the unlocking control mode into a database.
4. A method according to claim 3, further comprising:
and calling the intelligent lock background function in the database based on the unlocking gesture image of the user, and executing the intelligent lock background function.
5. An unlocking control apparatus, characterized in that the apparatus comprises:
the image processing module is used for acquiring a visible light video image, performing image processing on the visible light video image and determining unlocking authority of a user;
the comparison module is used for collecting the unlocking gesture of the user and comparing the unlocking gesture of the user with a preset unlocking gesture bound with the unlocking authority of the user;
and the unlocking module is used for controlling the intelligent lock to execute unlocking operation when the unlocking gesture of the user is the same as the preset unlocking gesture.
6. The apparatus of claim 5, wherein the image processing module comprises:
the matting processing unit is used for performing matting processing on the visible light video image to generate a face image;
the first determining unit is used for determining a face feature code based on the face image and determining a user identification based on the face feature code;
and the second determining unit is used for determining the unlocking authority of the user based on the user identification.
7. The apparatus as recited in claim 5, further comprising:
the combination module is used for acquiring a face image, a palm vein image and a hand gesture image of a user, and combining the face image, the palm vein image and the hand gesture image to generate the preset unlocking gesture image;
the binding module is used for acquiring the background function of the intelligent lock and binding the preset unlocking gesture image with the background function of the intelligent lock;
the association module is used for acquiring a user identifier, associating the user identifier with a preset unlocking gesture image after binding the background function of the intelligent lock, generating an unlocking control mode, and storing the unlocking control mode into a database.
8. The apparatus as recited in claim 7, further comprising:
and the calling module is used for calling the intelligent lock background function in the database based on the unlocking gesture image of the user and executing the intelligent lock background function.
9. A computer device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the unlock control method of any one of claims 1 to 4.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to execute the unlock control method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311658061.2A CN117576812A (en) | 2023-12-05 | 2023-12-05 | Unlocking control method and device, computer equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311658061.2A CN117576812A (en) | 2023-12-05 | 2023-12-05 | Unlocking control method and device, computer equipment and storage medium |
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| Publication Number | Publication Date |
|---|---|
| CN117576812A true CN117576812A (en) | 2024-02-20 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202311658061.2A Pending CN117576812A (en) | 2023-12-05 | 2023-12-05 | Unlocking control method and device, computer equipment and storage medium |
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| Country | Link |
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| CN (1) | CN117576812A (en) |
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