CN108537919B - Individual configuration method of guest room door lock applied to intelligent hotel - Google Patents

Individual configuration method of guest room door lock applied to intelligent hotel Download PDF

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CN108537919B
CN108537919B CN201810249615.6A CN201810249615A CN108537919B CN 108537919 B CN108537919 B CN 108537919B CN 201810249615 A CN201810249615 A CN 201810249615A CN 108537919 B CN108537919 B CN 108537919B
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person
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door
room
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CN108537919A (en
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陈建明
王随州
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Chen Jianming
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    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00658Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by passive electrical keys
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
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    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
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    • G07C9/00Individual registration on entry or exit
    • G07C9/00174Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00571Electronically 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
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    • G07C9/00904Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses for hotels, motels, office buildings or the like

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Abstract

A method for personalized configuration of a guest room door lock applied to an intelligent hotel comprises the steps that a first person drags a plurality of area images on a touch screen arranged outside a door from a plurality of area image loading positions to a plurality of area image splicing positions for the first time to form a face image of the first person after the first person leaves the door and closes the door, and the first dragging sequence corresponding to the area image loading positions loaded by each area image is determined according to the first dragging starting time of each area image; taking a certain track point selected on a first dragging track from a region image loading position to a region image splicing position corresponding to each region image as a unique hidden track passing point pre-configured at a region image loading position loaded by the region image; after the face image of the first person is hidden, the first dragging sequence corresponding to the loading positions of the multiple regional images and the only hidden track passing points pre-configured at the loading positions of the multiple regional images are used as verification information when the door is unlocked. The safety of door unblanking is improved.

Description

Individual configuration method of guest room door lock applied to intelligent hotel
Technical Field
The invention relates to the technical field of intelligent buildings, in particular to a guest room door lock personalized configuration method applied to an intelligent hotel.
Background
The intelligent hotel is the intelligent hotel. The hotel intellectualization is an information network system which takes a new communication technology and a computer intellectualized information processing technology and a broadband interactive multimedia network technology as a core, can provide a well-known, convenient and comfortable and appetizing service for consumers, and meets the requirements of 'personalized service and informatization service' of the consumers. In practice, it is found that many guest rooms of the intelligent hotel still use a magnetic card to unlock the door, which requires that a guest who opens the room must carry the magnetic card when leaving the door, and once the magnetic card is lost, the security of unlocking the door can be reduced.
Disclosure of Invention
The embodiment of the invention discloses a personalized configuration method of a guest room door lock applied to an intelligent hotel, which can improve the security of unlocking the room door.
The personalized configuration method of the door lock of the guest room applied to the intelligent hotel comprises the following steps:
when detecting that a pressure sensing module configured at a door opening of a certain guest room in the intelligent hotel is firstly stepped on, calling a camera arranged outside the door opening of the guest room to acquire a face image of a first person who steps on the pressure sensing module for the first time;
identifying whether a first person belongs to a room-opening client corresponding to the guest room or not according to a face image of the first person, if so, detecting whether a door of the guest room is closed or not, if so, dividing the face image of the first person into a plurality of area images, and randomly loading the area images on a plurality of area image loading positions output by a touch screen arranged outside the door of the guest room;
when the plurality of area images are firstly dragged from the plurality of area image loading positions to a plurality of tightly spliced area image splicing positions output by a touch screen to form the face image of the first person, determining a first dragging sequence corresponding to the area image loading position loaded by each area image according to the recorded first dragging starting time of each area image; taking a certain track point selected by the first person on a first dragging track from a region image loading position to a region image splicing position corresponding to each region image as a unique hidden track passing point pre-configured at a region image loading position loaded by the region image;
hiding the face image of the first person, and storing the first dragging sequence corresponding to the multiple area image loading positions and the only hidden track passing points pre-configured at the multiple area image loading positions as verification information when the door is unlocked.
As an optional implementation manner, in an embodiment of the present invention, after storing, as verification information when the door is unlocked, a preset drag order corresponding to the multiple area image loading positions and a pre-configured unique hidden track passing point corresponding to the multiple area image loading positions, the method further includes:
when detecting that a pressure sensing module configured at a door opening of the guest room is stepped on by a second step, calling a camera arranged outside the door of the guest room to acquire a face image of a second person who steps on the pressure sensing module by the second step;
identifying whether the second person belongs to an opening client corresponding to the guest room or not according to the face image of the second person, and if so, randomly loading the plurality of area images divided by the face image of the first person at a plurality of area image loading positions output by a touch screen arranged outside a door of the guest room;
when the plurality of area images are dragged from the plurality of area image loading positions to the tightly spliced plurality of area image splicing positions output by the touch screen again to form the face image of the first person, determining a re-dragging sequence corresponding to the area image loading position loaded by each area image according to the recorded re-dragging starting time of each area image;
judging whether the re-dragging sequence corresponding to each region image loading position is the same as the first dragging sequence corresponding to the region image loading position, if so, judging whether the re-dragging track corresponding to each region image loading position passes through the only hidden track passing point preconfigured in the region image loading position again, and if so, controlling the door to be unlocked and clearing the stored first dragging sequence corresponding to the plurality of region image loading positions and the stored only hidden track passing point preconfigured in the plurality of region image loading positions.
As an optional implementation manner, in an embodiment of the present invention, the method further includes:
if the second person is identified not to belong to the room-opening client corresponding to the guest room according to the face image of the second person, whether the second person belongs to a cleaner of the intelligent hotel is identified;
if the second person belongs to a cleaner of the intelligent hotel, identifying whether the client for opening a room has unsubscribed the room;
if the client opens the room, calling corresponding data of the client, wherein the data of opening the room at least comprises the specified allowable cleaning time period of the room when the client opens the room; detecting whether the current time point is within the allowed cleaning time period, and if so, controlling the door to be unlocked;
or if the room opening client unsubscribes the guest room, executing the step of controlling the unlocking of the door and clearing the stored first dragging sequence corresponding to the multiple area image loading positions and the only hidden track passing points pre-configured for the multiple area image loading positions.
As an optional implementation manner, in an embodiment of the present invention, after identifying that the second person belongs to a clean keeper of the intelligent hotel and before identifying whether the client for opening a room has unsubscribed from the room, the method further includes:
acquiring a cleaning work time period distributed by the intelligent hotel by the second person;
and detecting whether the current time point is within the cleaning work time period distributed by the intelligent hotel by the second person, and if so, executing the step of identifying whether the client for opening the room is to unsubscribe the room.
As an optional implementation manner, in an embodiment of the present invention, after detecting that the current time point is within the allowable clean-keeping time period and before controlling the door to be unlocked, the method further includes:
controlling voice interaction equipment arranged in a door of the guest room to output first voice information, wherein the first voice information is used for prompting a cleaner to enter the guest room for cleaning after a specified time;
and judging whether the voice interaction equipment collects second voice information which is sent by personnel in the tenant and used for indicating the declining cleaning work within the specified time, and if not, executing the step of controlling the door to be unlocked.
As an optional implementation manner, in an embodiment of the present invention, the method further includes:
and if the judgment is that the voice interaction equipment collects second voice information which is sent by the personnel in the tenant and used for indicating the abstinence cleaning work within the specified time, controlling prompt information output by a touch screen arranged outside a door of the tenant, wherein the prompt information is used for prompting the personnel in the tenant to abstain the cleaning work.
As an optional implementation manner, in an embodiment of the present invention, the identifying whether the first person belongs to an opening client corresponding to the guest room according to a face image of the first person includes:
acquiring the diameter average value L and the average pixel number X of all connected domains in the binarized image X1 corresponding to the face image of the first person;
according to the average pixel number X and the diameter average value L of all the connected domains, unreasonable connected domains are identified and deleted from the binary image X1 to form a binary image X2;
dividing the binarized image x2 into a plurality of pixel blocks, and performing OR operation on pixel values corresponding to all pixels in each pixel block to obtain an OR operation result of each pixel block to form an image to be divided x 3;
dividing the image to be divided x3 into a plurality of pixel areas, wherein the number of the pixel areas is consistent with the number of the control images;
summing the or operation results of all pixel points in each pixel region to obtain the characteristic information of each pixel region forming the binary image S2;
and judging whether the feature information of the pixel region is matched with the feature information of the corresponding pixel region in the face image of the room opening client corresponding to the guest room or not aiming at the feature information of each pixel region of the binary image S2, and if so, determining that the first person belongs to the room opening client corresponding to the guest room.
As an optional implementation manner, in an embodiment of the present invention, the acquiring a diameter average value L and an average number X of pixels of all connected domains in a binarized image X1 corresponding to a face image of the first person includes:
calculating the number of connected domains in a binarized image x1 corresponding to the face image of the first person;
calculating the sum of the number of pixels of each connected domain in the binarized image x 1;
dividing the pixel number sum by the number of connected domains in the binarized image X1 to obtain the average pixel number X of all connected domains in the binarized image X1;
acquiring the diameter of each connected domain in the binarized image x1, wherein the diameter is the Euclidean distance between two pixels with the farthest distance in the connected domain;
calculating the diameter sum of each connected domain in the binary image x 1;
dividing the diameter sum by the number of connected domains in the binarized image x1 to obtain an average value L of the diameters of all the connected domains in the binarized image x 1.
As an optional implementation manner, in the embodiment of the present invention, the unique hidden tracks preconfigured in any two area image loading positions of the plurality of area image loading positions must be different from each other; the first dragging orders corresponding to any two of the area image loading positions are different from each other.
As an optional implementation manner, in an embodiment of the present invention, the acquiring, by a camera that is installed outside a door of the guest room, a face image of a first person who presses the pressure sensing module for the first time includes:
calling a camera arranged outside a door of the guest room to scan, determining position parameters of the camera after scanning a face area of a first person who presses the pressure sensing module for the first time, and adjusting a shooting area of the camera according to the position parameters so that the adjusted shooting area always covers the face area of the first person to acquire a face image of the first person;
acquiring a pitch angle of the camera according to the position parameter;
calculating the adjustment angle of the camera according to the pitch angle by using the following formula;
adjusting the shooting angle of the camera according to the adjustment angle so that the shooting area always covers the face area of the first person;
Figure BDA0001607248100000051
or
Figure BDA0001607248100000052
Wherein, the (X)world,Zworld) The coordinates of the face area of the first user, the (X)camera,Zcamera) As coordinates of the photographing region, the
Figure BDA0001607248100000053
Is the pitch angle, phi is the adjustment angle, theta is the angle of view of the shooting area, m is the length of the camera, dxIs the vertical distance between the camera and the face area of the first user, dzIs the horizontal distance between the camera and the face area of the first user.
In the embodiment of the invention, after a first person serving as a room opening client leaves a room door and closes the room door, if the first person firstly drags a plurality of area images output by a touch screen arranged outside the room door from a plurality of area image loading positions to a plurality of tightly spliced area image splicing positions output by the touch screen to form a face image of the first person, the first dragging sequence corresponding to the area image loading position loaded by each area image is determined according to the recorded first dragging starting time of each area image; taking a certain track point selected by a first person on a first dragging track from a region image loading position to a region image splicing position corresponding to each region image as a unique hidden track passing point pre-configured at a region image loading position loaded by the region image; after the face image of the first person is hidden, the first dragging sequence corresponding to the multiple area image loading positions and the only hidden track passing points pre-configured by the multiple area image loading positions are stored as verification information when the door is unlocked. Therefore, by implementing the embodiment of the invention, the house-opening client can be used as the verification information for unlocking the house door in a personalized configuration mode when going out, so that the verification information can be used for verifying when the house door needs to be unlocked, and the unlocking of the house door is controlled after the verification is passed.
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 embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for personalized configuration of a door lock of a guest room applied to an intelligent hotel, which is disclosed by the embodiment of the invention;
fig. 2 is a schematic flow chart of another method for configuring a personalized door lock of a guest room applied to an intelligent hotel, according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a network structure for personalized configuration of a door lock of a guest room applied to an intelligent hotel, according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an interface change of a touch screen according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, of embodiments of the present invention are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses a personalized configuration method of a guest room door lock applied to an intelligent hotel, which can improve the security of unlocking the room door. The following detailed description is made with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for configuring a personalized door lock of a guest room applied to an intelligent hotel according to an embodiment of the present invention. An execution main body of the guest room door lock personalized configuration method applied to the intelligent hotel shown in fig. 1 may be service equipment of the intelligent hotel, and the embodiment of the invention is not limited. As shown in fig. 1, the personalized configuration method for the door lock of the guest room applied to the intelligent hotel may include the following steps:
101. when detecting that a pressure sensing module configured at a door opening of a certain guest room in the intelligent hotel is firstly stepped on, calling a camera arranged outside the door of the guest room to acquire a face image of a first person who steps on the pressure sensing module for the first time.
As an optional implementation manner, invoking a camera outside a door of the guest room to collect a face image of a first person who presses the pressure sensing module for the first time may include:
calling a camera arranged outside a door of the guest room to scan, determining position parameters of the camera after scanning a face area of a first person who presses a pressure sensing module for the first time, and adjusting a shooting area of the camera according to the position parameters so that the adjusted shooting area always covers the face area of the first person to acquire a face image of the first person;
acquiring a pitch angle of the camera according to the position parameter;
calculating the adjustment angle of the camera according to the pitch angle by using the following formula;
adjusting the shooting angle of the camera according to the adjustment angle so that the shooting area always covers the face area of the first person;
Figure BDA0001607248100000081
or
Figure BDA0001607248100000082
Wherein (X)world,Zworld) Is the coordinates of the first user's facial region, (X)camera,Zcamera) Is the coordinates of the photographing region and,
Figure BDA0001607248100000083
is a pitch angle, phi is an adjustment angle, theta is a view angle of a shooting area, m is a length of the camera, dxIs the vertical distance of the camera from the face area of the first user, dzIs the horizontal distance of the camera from the first user's facial area.
According to the embodiment, the camera can flexibly adjust the shooting area, so that the adjusted shooting area always covers the face area of the first person to collect the face image of the first person, and the success rate of collecting the face image of the first person can be improved.
102. According to the face image of the first person, whether the first person belongs to a room-opening client corresponding to the guest room is identified, if yes, whether a door of the guest room is closed is detected, if yes, the face image of the first person is divided into a plurality of area images, and the area images are loaded at a plurality of area image loading positions output by a touch screen arranged outside the door of the guest room at random.
As an optional implementation manner, identifying whether the first person belongs to an opening client corresponding to the guest room according to a face image of the first person includes:
acquiring the diameter average value L and the average pixel number X of all connected domains in a binarized image X1 corresponding to the face image of the first person;
according to the average pixel number X and the diameter average value L of all connected domains, unreasonable connected domains are identified and deleted from the binary image X1 to form a binary image X2;
dividing the binary image x2 into a plurality of pixel blocks, and performing OR operation on pixel values corresponding to all pixels in each pixel block to obtain an OR operation result of each pixel block to form an image to be divided x 3;
dividing an image x3 to be divided into a plurality of pixel areas, the number of the plurality of pixel areas being consistent with the number of the plurality of control images;
summing the OR operation results of all pixel points in each pixel region to obtain the characteristic information of each pixel region forming the binary image S2;
judging whether the characteristic information of each pixel region of the binarized image S2 is matched with the characteristic information of the corresponding pixel region in the face image of the room opening client corresponding to the guest room, and if so, determining that the first person belongs to the room opening client corresponding to the guest room; and otherwise, if the characteristic information of any pixel region is judged to be not matched with the characteristic information of the corresponding pixel region in the face image of the room-opening client corresponding to the guest room, determining that the first person does not belong to the room-opening client corresponding to the guest room.
The service equipment can read the opening data of the opening client corresponding to the guest room, and extract the characteristic information of the corresponding pixel area in the face image of the opening client from the opening data.
By implementing the embodiment, the unreasonable connected domain of the face image of the first person can be deleted, and then the face verification based on the feature information of the pixel region can be performed, so that the accuracy of the face verification can be improved.
The method for acquiring the diameter average value L and the average pixel number X of all connected domains in the binarized image X1 corresponding to the face image of the first person comprises the following steps:
calculating the number of connected domains in a binarized image x1 corresponding to the face image of the first person;
calculating the sum of the pixel numbers of all connected domains in the binary image x 1;
dividing the sum of the pixel numbers by the number of the connected domains in the binarized image X1 to obtain the average pixel number X of all the connected domains in the binarized image X1;
acquiring the diameter of each connected domain in the binary image x1, wherein the diameter is the Euclidean distance between two pixels with the farthest distance in the connected domain;
calculating the diameter sum of each connected domain in the binary image x 1;
dividing the diameter sum by the number of connected domains in the binarized image x1 to obtain the average value L of the diameters of all the connected domains in the binarized image x 1.
By implementing the embodiment, the diameter average value L and the average pixel number X of all connected domains in the binarized image X1 corresponding to the face image of the first person can be effectively obtained, so that the accuracy of face verification can be improved.
103. When the plurality of area images are firstly dragged from the loading positions of the plurality of area images to the splicing positions of the plurality of area images which are output by the touch screen and are closely spliced to form the face image of a first person, determining the first dragging sequence corresponding to the loading position of the area image loaded by each area image according to the recorded first dragging starting time of each area image; and taking a certain track point selected by the first person on a first dragging track corresponding to each area image from the area image loading position to the area image splicing position as a unique hidden track passing point preset at the area image loading position loaded by the area image.
In the embodiment of the invention, after a plurality of area images are randomly loaded on a plurality of area image loading positions output by a touch screen arranged outside a door of a guest room, a first person can drag each area image one by one from one area image loading position to one area image splicing position in a plurality of closely spliced area image splicing positions output by the touch screen in a finger sliding mode to form a face image of the first person; when the plurality of area images are firstly dragged from the loading positions of the plurality of area images to the splicing positions of the plurality of area images which are output by the touch screen and are closely spliced to form the face image of the first person, the first dragging sequence corresponding to the loading position of the area image loaded by each area image can be determined according to the recorded initial dragging time of each area image; and taking a certain track point selected by a first person on a first dragging track from the loading position of the area image to the splicing position of the area image corresponding to each area image as a unique necessary point of a hidden track pre-configured at the loading position of the area image loaded by the area image.
The earlier the initial time of the first dragging of the area image is, the earlier the first dragging sequence corresponding to the area image loading position loaded by the area image is; on the contrary, the later the initial drag start time of the region image is, the later the initial drag order corresponding to the region image loading position loaded by the region image is. The first dragging orders corresponding to any two of the area image loading positions are different from each other.
In the process that a first person drags each area image from an area image loading position to an area image splicing position for the first time in a finger sliding mode, the first person can select a certain track point on a first dragging track of the area image to serve as a unique hidden track passing point preconfigured at the area image loading position loaded by the area image; the hidden tracks preset in any two of the area image loading positions are different from each other in bound points.
104. Hiding the face image of the first person, and storing a first dragging sequence corresponding to the multiple area image loading positions and a unique hidden track inevitable point pre-configured by the multiple area image loading positions as verification information when the door is unlocked.
In the embodiment of the invention, after the first dragging sequence corresponding to the loading positions of the multiple regional images and the unique hidden track inevitable point preconfigured at the loading positions of the multiple regional images are determined, the face image of a first person formed at the splicing positions of the multiple regional images which are closely spliced and output by the touch screen can be hidden, and the first dragging sequence corresponding to the loading positions of the multiple regional images and the unique hidden track inevitable point preconfigured at the loading positions of the multiple regional images are stored as the verification information when the door is unlocked, so that the door can be verified by using the verification information when the door is required to be unlocked, and the door is controlled to be unlocked after the verification is passed.
It can be seen that, by implementing the method described in fig. 1, the client who opens the house can be configured individually as the verification information when the door is unlocked, so that the verification information can be used for verifying when the door needs to be unlocked, and the door is controlled to be unlocked after the verification is passed, as shown in the method described in fig. 1, not only is the client who opens the house required to carry a magnetic card when the client goes out of the house, but also the security of unlocking the door can be effectively improved.
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating a method for configuring a personalized door lock of a guest room applied to an intelligent hotel according to an embodiment of the present invention. The personalized configuration method for the door lock of the guest room applied to the intelligent hotel shown in fig. 2 uses the service device of the intelligent hotel as an execution main body, and the service device can record the data of opening the room when the guest opens the room, wherein the data of opening the room can include a face image of the guest who opens the room, an identity document number, the start time of opening the room, the end time of opening the room, the allowed clean time period of the guest room specified when the guest opens the room, and the like. Please refer to FIG. 3. Fig. 3 is a schematic diagram of a network structure for personalized configuration of a door lock of a guest room applied to an intelligent hotel, according to an embodiment of the present invention. As shown in fig. 3, the service device may be in communication connection with a pressure sensing module configured at a door opening of a guest room in the intelligent hotel, and the service device may also be in communication connection with a camera and a touch screen that are provided outside the door of the guest room and a voice interaction device that is provided inside the door of the guest room, and the dotted line represents communication connection. As shown in fig. 2, the personalized configuration method for the door lock of the guest room applied to the intelligent hotel may include the following steps:
201. when the service equipment detects that a pressure sensing module configured at a door opening of a certain guest room in the intelligent hotel is stepped on for the first time, a camera arranged outside the door of the guest room is called to collect a face image of a first person who steps on the pressure sensing module for the first time.
In the embodiment of the present invention, step 101 may be referred to in the implementation process of step 201, and details of the embodiment of the present invention are not described herein.
202. The service equipment identifies whether the first person belongs to a room-opening client corresponding to the guest room or not according to the face image of the first person, and if so, executes step 203; if not, the process is ended.
203. The service equipment detects whether the door of the guest room is closed, and if so, the step 204-step 208 are executed; if not, the process is ended.
204. The service equipment divides the face image of the first person into a plurality of area images, and loads the area images at random on a plurality of area image loading positions output by a touch screen arranged outside a door of the guest room.
In the embodiment of the invention, the service equipment can read the number of the loading positions of the multiple regional images filled by the room-opening client from the room-opening data of the room-opening client corresponding to the guest room, and the loading positions of the multiple regional images output by the touch screen arranged outside the door of the guest room according to the number of the loading positions of the multiple regional images filled by the room-opening client; and outputting a plurality of region image stitching positions the same as the plurality of region image loading positions. That is to say, the number of a plurality of regional image loading positions and the number of a plurality of regional image concatenation positions can be individualized by the client of opening a house to the door that can realize individualized degree of difficulty is unblanked, promotes user experience.
205. When the plurality of area images are firstly dragged from the loading positions of the plurality of area images to the splicing positions of the plurality of area images which are output by the touch screen and are closely spliced to form the face image of the first person, the service equipment determines the first dragging sequence corresponding to the loading position of the area image loaded by each area image according to the recorded first dragging starting time of each area image; and taking a certain track point selected by the first person on a first dragging track corresponding to each area image from the area image loading position to the area image splicing position as a unique hidden track passing point preset at the area image loading position loaded by the area image.
Referring to fig. 3, fig. 3 is a schematic view illustrating an interface change of a touch screen according to an embodiment of the present invention. As shown in fig. 3, a plurality of area image loading positions that can be output by the touch screen of the door peripheral of the guest room are distributed in the same column; the touch screen arranged outside the door of the guest room can output a plurality of tightly spliced area image splicing positions; the number of the splicing positions of the plurality of area images is the same as that of the loading positions of the plurality of area images (namely, the number of the loading positions of the plurality of area images is 9); on the basis, the service equipment can divide the face image of the first person collected by the camera into a plurality of area images and load the area images at a plurality of area image loading positions randomly. As shown in fig. 3, when the plurality of area images are firstly dragged from the plurality of area image loading positions to the tightly-spliced plurality of area image splicing positions output by the touch screen to form the face image of the first person, according to the recorded initial dragging start time of each area image, determining the first dragging order corresponding to the area image loading position loaded by each area image; and taking a certain track point selected by the first person on a first dragging track corresponding to each area image from the area image loading position to the area image splicing position as a unique hidden track passing point preset at the area image loading position loaded by the area image. In fig. 3, each dotted line represents a first dragging track of an area image dragged from an area image loading position to an area image splicing position, a dotted circle on each dotted line represents a unique hidden track passing point (invisible) preconfigured at the area image loading position corresponding to the dotted line, a square grid where an arrow on each dotted line is located represents an area image splicing position where the area image to be dragged first is finally placed, a serial number (e.g., any one of 1 to 9) on each dotted line represents a first dragging order corresponding to the area image loading position where the area image is loaded, and as shown in fig. 3, the first dragging orders corresponding to any two area image loading positions are different from each other. Optionally, the only hidden tracks preconfigured in any two area image loading positions may also be different from each other.
On the basis shown in fig. 3, the service device may hide the face image of the first person formed at the splicing position of the plurality of area images, and store the first dragging order corresponding to the loading positions of the plurality of area images and the unique hidden track passing point preconfigured at the loading positions of the plurality of area images as verification information when the door is unlocked.
206. The service equipment hides the face image of the first person, and stores a first dragging sequence corresponding to the multiple regional image loading positions and a unique hidden track passing point pre-configured by the multiple regional image loading positions as verification information when the door is unlocked.
207. And when the service equipment detects that the pressure sensing module configured at the door opening of the guest room is stepped on by the second, calling a camera arranged outside the door of the guest room to acquire a face image of a second person who steps on the pressure sensing module by the second.
The implementation process of calling the camera of the door peripheral of the guest room to acquire the face image of the second person of the second treading pressure sensing module can refer to the implementation process of calling the camera of the door peripheral of the guest room to acquire the face image of the first person of the first treading pressure sensing module, and details are not repeated here in the embodiments of the present invention.
208. The service equipment identifies whether the second person belongs to the room-opening client corresponding to the room according to the face image of the second person, and if not, step 209 is executed; if so, go to step 214-step 216.
The implementation process of the service device identifying whether the second person belongs to the client corresponding to the guest room may refer to the implementation process of identifying whether the first person belongs to the client corresponding to the guest room, which is not described herein in detail in the embodiments of the present invention. The second person and the first person may be the same person or different persons. When the second person and the first person are different persons, the number of the clients opening the room is at least more than two.
209. The service equipment identifies whether the second person belongs to a cleaner of the intelligent hotel, and if the second person belongs to the cleaner of the intelligent hotel, step 210 is executed; if the second person does not belong to the cleaner of the intelligent hotel, the process is ended.
As an alternative embodiment, after identifying that the second person belongs to the cleaner in the intelligent hotel, and before performing step 210, the service device may further perform the following steps:
acquiring a cleaning work time period distributed by the intelligent hotel by the second person;
detecting whether the current time point is within the cleaning work time period distributed by the intelligent hotel by the second person, and if so, executing the step 210; otherwise, if not, the process is ended.
210. The service device identifies whether the client opens the room and executes steps 211-212 if the client does not unsubscribe the room; if the room has been unsubscribed, step 218 is performed.
211. The service equipment calls the corresponding opening data of the opening client, and the opening data comprises the specified allowable cleaning time period of the guest room when the opening client opens the room.
212. The service equipment detects whether the current time point is within the allowed cleaning time period, if so, step 213 is executed; if not, the flow is ended.
As an alternative embodiment, after detecting that the current time point is within the allowed cleaning time period and before executing step 213, the service device may further perform the following operations:
controlling voice interaction equipment arranged in a door of the guest room to output first voice information, wherein the first voice information is used for prompting a cleaner to enter the guest room for cleaning after a specified time;
and, judge whether the said voice interaction equipment collects the second voice message used for representing the decline cleaning job that the personnel send out in the tenant in the specified duration, if not collect the second voice message used for representing the decline cleaning job that the personnel send out in the tenant, carry out step 213; otherwise, if receiving the second voice message sent by the personnel in the tenant to indicate the abstinence of the cleaning work, the flow is ended.
Furthermore, if the voice interaction device acquires second voice information which is sent by personnel inside the guest and used for indicating the abstinence and cleaning work within the specified time, the service device can control prompt information output by a touch screen arranged outside a door of the guest room, and the prompt information is used for prompting the personnel inside the guest room to abstain the cleaning work, so that a cleaner can timely know that the cleaning work of the guest room is not needed at present.
213. The service equipment controls the room door to be unlocked, and the process is finished.
214. The service equipment loads the plurality of area images divided by the face image of the first person at a plurality of area image loading positions output by a touch screen arranged outside a door of the guest room at random again.
215. When the multiple region images are dragged from the multiple region image loading positions to the multiple region image splicing positions which are output by the touch screen and closely spliced to form the face image of the first person again, the service equipment determines the re-dragging sequence corresponding to the region image loading position loaded by each region image according to the recorded re-dragging starting time of each region image.
216. The service equipment judges whether the re-dragging sequence corresponding to each region image loading position is the same as the first dragging sequence corresponding to the region image loading position, if so, the step 217 is executed; if the re-dragging sequence corresponding to any region image loading position is not the same as the first dragging sequence corresponding to the region image loading position, the process is ended.
217. The service equipment judges whether the re-dragging tracks corresponding to each area image loading position pass through the only hidden track passing point pre-configured at the area image loading position again, if so, the step 218 is executed; and if the re-dragging track corresponding to any region image loading position does not pass through the only hidden track passing point pre-configured at the region image loading position again, ending the process.
218. The service equipment controls the door to be unlocked and clears the stored first dragging sequence corresponding to the multiple regional image loading positions and the unique hidden track passing points pre-configured by the multiple regional image loading positions.
In the embodiment of the invention, the unique hidden tracks preconfigured in any two area image loading positions in the area image loading positions are different from each other necessarily; the first dragging orders corresponding to any two of the area image loading positions are different from each other.
It can be seen that, by implementing the method described in fig. 2, the client opening the house can be configured individually as the verification information when the door is unlocked, so that the verification information can be used for verifying when the door is required to be unlocked, and the door is controlled to be unlocked after the verification is passed, as shown in the method described in fig. 2, not only is the client opening the house required to carry a magnetic card when the client is leaving the door saved, but also the security of unlocking the door can be effectively improved.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by instructions associated with a program, which may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), compact disc-Read-Only Memory (CD-ROM), or other Memory, magnetic disk, magnetic tape, or magnetic tape, Or any other medium which can be used to carry or store data and which can be read by a computer.
The method for personalized configuration of the door lock of the guest room applied to the intelligent hotel disclosed by the embodiment of the invention is described in detail, a specific embodiment is applied in the method for explaining the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A personalized configuration method of a guest room door lock applied to an intelligent hotel is characterized by comprising the following steps:
when detecting that a pressure sensing module configured at a door opening of a certain guest room in the intelligent hotel is firstly stepped on, calling a camera arranged outside the door opening of the guest room to acquire a face image of a first person who steps on the pressure sensing module for the first time;
identifying whether a first person belongs to a room-opening client corresponding to the guest room or not according to a face image of the first person, if so, detecting whether a door of the guest room is closed or not, if so, dividing the face image of the first person into a plurality of area images, and randomly loading the area images on a plurality of area image loading positions output by a touch screen arranged outside the door of the guest room;
when the plurality of area images are firstly dragged from the plurality of area image loading positions to a plurality of tightly spliced area image splicing positions output by a touch screen to form the face image of the first person, determining a first dragging sequence corresponding to the area image loading position loaded by each area image according to the recorded first dragging starting time of each area image; taking a certain track point selected by the first person on a first dragging track from a region image loading position to a region image splicing position corresponding to each region image as a unique hidden track passing point pre-configured at a region image loading position loaded by the region image;
hiding the face image of the first person, and storing the first dragging sequence corresponding to the multiple area image loading positions and the only hidden track passing points pre-configured at the multiple area image loading positions as verification information when the door is unlocked.
2. The method of claim 1, wherein after storing the preset dragging sequence corresponding to the loading positions of the area images and the pre-configured unique hidden track passing points corresponding to the loading positions of the area images as the verification information when the door is unlocked, the method further comprises:
when detecting that a pressure sensing module configured at a door opening of the guest room is stepped on by a second step, calling a camera arranged outside the door of the guest room to acquire a face image of a second person who steps on the pressure sensing module by the second step;
identifying whether the second person belongs to an opening client corresponding to the guest room or not according to the face image of the second person, and if so, randomly loading the plurality of area images divided by the face image of the first person at a plurality of area image loading positions output by a touch screen arranged outside a door of the guest room;
when the plurality of area images are dragged from the plurality of area image loading positions to the tightly spliced plurality of area image splicing positions output by the touch screen again to form the face image of the first person, determining a re-dragging sequence corresponding to the area image loading position loaded by each area image according to the recorded re-dragging starting time of each area image;
judging whether the re-dragging sequence corresponding to each region image loading position is the same as the first dragging sequence corresponding to the region image loading position, if so, judging whether the re-dragging track corresponding to each region image loading position passes through the only hidden track passing point preconfigured in the region image loading position again, and if so, controlling the door to be unlocked and clearing the stored first dragging sequence corresponding to the plurality of region image loading positions and the stored only hidden track passing point preconfigured in the plurality of region image loading positions.
3. The method of claim 2, further comprising:
if the second person is identified not to belong to the room-opening client corresponding to the guest room according to the face image of the second person, whether the second person belongs to a cleaner of the intelligent hotel is identified;
if the second person belongs to a cleaner of the intelligent hotel, identifying whether the client for opening a room has unsubscribed the room;
if the client opens the room, calling corresponding data of the client, wherein the data of opening the room at least comprises the specified allowable cleaning time period of the room when the client opens the room; detecting whether the current time point is within the allowed cleaning time period, and if so, controlling the door to be unlocked;
or if the room opening client unsubscribes the guest room, executing the step of controlling the unlocking of the door and clearing the stored first dragging sequence corresponding to the multiple area image loading positions and the only hidden track passing points pre-configured for the multiple area image loading positions.
4. The method of claim 2 or 3, wherein after identifying that the second person belongs to a clean keeper of the smart hotel and before identifying whether the client opens the room has unsubscribed to the room, the method further comprises:
acquiring a cleaning work time period distributed by the intelligent hotel by the second person;
and detecting whether the current time point is within the cleaning work time period distributed by the intelligent hotel by the second person, and if so, executing the step of identifying whether the client for opening the room is to unsubscribe the room.
5. The method for personalized configuration of door locks of guest rooms according to claim 4, wherein after detecting that the current point in time is within the allowed time period of sanitation and before controlling the door to be unlocked, the method further comprises:
controlling voice interaction equipment arranged in a door of the guest room to output first voice information, wherein the first voice information is used for prompting a cleaner to enter the guest room for cleaning after a specified time;
and judging whether the voice interaction equipment collects second voice information which is sent by personnel in the tenant and used for indicating the declining cleaning work within the specified time, and if not, executing the step of controlling the door to be unlocked.
6. The method of claim 5, further comprising:
and if the judgment is that the voice interaction equipment collects second voice information which is sent by the personnel in the tenant and used for indicating the abstinence cleaning work within the specified time, controlling prompt information output by a touch screen arranged outside a door of the tenant, wherein the prompt information is used for prompting the personnel in the tenant to abstain the cleaning work.
7. The method for personalized configuration of a door lock of a guest room according to claim 3, wherein the step of identifying whether the first person belongs to an open client corresponding to the guest room according to the face image of the first person comprises the following steps:
acquiring the diameter average value L and the average pixel number X of all connected domains in the binarized image X1 corresponding to the face image of the first person;
according to the average pixel number X and the diameter average value L of all the connected domains, unreasonable connected domains are identified and deleted from the binary image X1 to form a binary image X2;
dividing the binarized image x2 into a plurality of pixel blocks, and performing OR operation on pixel values corresponding to all pixels in each pixel block to obtain an OR operation result of each pixel block to form an image to be divided x 3;
dividing the image to be divided x3 into a plurality of pixel areas, wherein the number of the pixel areas is consistent with the number of the control images;
summing the or operation results of all pixel points in each pixel region to obtain the characteristic information of each pixel region forming the binary image S2;
and judging whether the feature information of the pixel region is matched with the feature information of the corresponding pixel region in the face image of the room opening client corresponding to the guest room or not aiming at the feature information of each pixel region of the binary image S2, and if so, determining that the first person belongs to the room opening client corresponding to the guest room.
8. The method for personalized configuration of guest room door locks according to claim 7, wherein the obtaining of the average value L of the diameters and the average number X of pixels of all connected domains in the binarized image X1 corresponding to the face image of the first person comprises:
calculating the number of connected domains in a binarized image x1 corresponding to the face image of the first person;
calculating the sum of the number of pixels of each connected domain in the binarized image x 1;
dividing the pixel number sum by the number of connected domains in the binarized image X1 to obtain the average pixel number X of all connected domains in the binarized image X1;
acquiring the diameter of each connected domain in the binarized image x1, wherein the diameter is the Euclidean distance between two pixels with the farthest distance in the connected domain;
calculating the diameter sum of each connected domain in the binary image x 1;
dividing the diameter sum by the number of connected domains in the binarized image x1 to obtain an average value L of the diameters of all the connected domains in the binarized image x 1.
9. The method for personalized configuration of door locks of guest rooms according to claim 8, wherein the only hidden tracks preconfigured in any two of the plurality of area image loading positions must be different from each other; the first dragging orders corresponding to any two of the area image loading positions are different from each other.
10. The method of claim 9, wherein the step of capturing the face image of the first person who first presses the pressure sensing module with a camera of the door peripheral of the guest room comprises:
calling a camera arranged outside a door of the guest room to scan, determining position parameters of the camera after scanning a face area of a first person who presses the pressure sensing module for the first time, and adjusting a shooting area of the camera according to the position parameters so that the adjusted shooting area always covers the face area of the first person to acquire a face image of the first person;
acquiring a pitch angle of the camera according to the position parameter;
calculating the adjustment angle of the camera according to the pitch angle by using the following formula;
adjusting the shooting angle of the camera according to the adjustment angle so that the shooting area always covers the face area of the first person;
Figure FDA0002448517350000051
or
Figure FDA0002448517350000052
Wherein, the (X)world,Zworld) The coordinates of the face area of the first user, the (X)camera,Zcamera) As coordinates of the photographing region, the
Figure FDA0002448517350000053
Is the pitch angle, phi is the adjustment angle, theta is the angle of view of the shooting area, m is the length of the camera, dxIs the vertical distance between the camera and the face area of the first user, dzIs the horizontal distance between the camera and the face area of the first user.
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