CN117392738A - Biological identification system and method for hotel door lock remote control - Google Patents

Biological identification system and method for hotel door lock remote control Download PDF

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Publication number
CN117392738A
CN117392738A CN202311387649.9A CN202311387649A CN117392738A CN 117392738 A CN117392738 A CN 117392738A CN 202311387649 A CN202311387649 A CN 202311387649A CN 117392738 A CN117392738 A CN 117392738A
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customer
room
eye image
iris
hotel
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吴淑敏
陈杰
冯靖允
丁东发
赵广东
蒋建舸
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SHANGHAI HANTAI INTELLIGENT TECHNOLOGY CO LTD
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SHANGHAI HANTAI INTELLIGENT TECHNOLOGY CO LTD
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Publication of CN117392738A publication Critical patent/CN117392738A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/197—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/02—Reservations, e.g. for tickets, services or events
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/193—Preprocessing; Feature extraction
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
    • G07C9/00571—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by interacting with a central unit

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  • Business, Economics & Management (AREA)
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  • Tourism & Hospitality (AREA)
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Abstract

The invention discloses a biological identification system and a biological identification method for remote control of hotel locks, which relate to the field of hotel intelligent door lock control and comprise the following steps: the identity input module is used for acquiring an eye image of a customer as a first eye image, extracting iris characteristic data in the first eye image and inputting the iris characteristic data into a standard iris characteristic set of the customer; the permission distribution module is used for distributing an open permission set of the room type; the instruction control module is used for listing the iris characteristics of the customer as a second set of standard iris characteristics of the customer and sending the second set of standard iris characteristics of the customer to the reservation room door lock terminal; the identity verification module is used for collecting the current eye image of the customer as a second eye image, extracting iris characteristic data in the second eye image and verifying the identity of the customer; and the room type prediction module is used for predicting the next destination of the customer. The intelligent hotel lock management system solves the problem that the privacy of clients cannot be guaranteed in different leisure public places in hotel intelligent door lock management, and simultaneously saves the time for inputting the information of the clients and sending instructions.

Description

Biological identification system and method for hotel door lock remote control
Technical Field
The invention relates to the field of hotel intelligent door lock control, in particular to a biological identification system and a biological identification method for hotel door lock remote control.
Background
In the era of digitalization and automation, a biological recognition technology has become an important trend in the fields of security and identity verification, and the traditional identity verification modes such as passwords, cards, keys and the like have limitations in terms of security and convenience; the hotel industry needs a more modern, safe and convenient door lock system to provide customers with better check-in experience, and the traditional magnetic card and password door lock system has the problem of being stolen, lost or forgetting the password; remote control technology has found wide spread use in a variety of industries that allow users to control devices and systems at different locations through the internet or mobile devices. In the field of hotel door locks, remote control can provide higher convenience and security, allows hotel management personnel to monitor and manage the door lock state in real time.
The biological recognition technology, such as fingerprint, iris, finger vein, etc., has the features of high accuracy and difficult forging, and is suitable for door lock identity verification. The technology can provide higher-level security, ensures the privacy of the places such as sauna swimming pools and the like of customers, and reduces the trouble that the customers are inconvenient to carry the house card.
For example, patent application publication No. CN110781867a discloses a method, system and device for improving the identification rate of biological information, and an intelligent door lock, which can perform biological information identification under the condition that both fingerprint signals and pressure signals can be detected by double detection of biological information signals and pressure signals, thereby improving the accuracy of biological information identification.
However, the above method has certain limitations, including limited coverage, and does not consider places such as sauna rooms and shower rooms in hotel facilities, which have certain influence on fingerprints, and at this time, an intelligent door lock system capable of simultaneously considering public place privacy problems and saving customer time is needed, so the invention provides a biological recognition system and a biological recognition method for hotel door lock remote control.
Disclosure of Invention
The invention aims to provide a biological identification system and a biological identification method for remote control of hotel door locks, which are used for solving the problems in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: a biometric identification system for hotel door lock remote control, comprising:
the identity input module is used for acquiring customer identity information, collecting a customer eye image as a first eye image, extracting iris characteristic data in the first eye image and inputting the iris characteristic data into a customer standard iris characteristic set;
the permission distribution module is used for distributing an open permission set of the room type;
the instruction control module is used for extracting iris features of the customer and the same person from the customer standard iris feature set as a second set of customer standard iris features when the customer performs reservation demand operation, sending the second set of customer standard iris features to a reservation room door lock terminal, and sending an opening permission instruction;
the identity verification module is used for collecting the current eye image of the customer as a second eye image, extracting iris characteristic data in the second eye image and verifying the identity of the customer;
and the room type prediction module is used for predicting the next destination of the customer by calculating the probability that the customer in the hotel goes to each room type from the reserved room type and combining the reservation information of the customer when the customer finishes the reserved room journey, and sending the second set of the standard iris characteristics of the customer to the predicted room type door lock terminal again.
The invention further improves that the authority allocation module comprises the steps of listing iris characteristic data of a customer into a customer demand application sequence according to the order of the customer reservation time from front to back, when the customer sends an application instruction, establishing a sub-characteristic set taking the customer as a main body to add the customer demand application sequence, adding an object into the sub-characteristic set at any time by the main body, automatically allocating authority opening time according to the time priority by the system according to the application order of the customer, and sending the customer demand application sequence into the instruction control module.
The invention is further improved in that the instruction control module comprises a right opening unit and a feature set acquisition unit, wherein the right opening unit is used for managing room door lock rights, and the feature set acquisition unit is used for acquiring the second set of customer standard iris features according to the customer demand application sequence and the room door lock rights; the authentication module comprises an eye image matching unit and a similarity detection unit, wherein the eye image matching unit is used for correcting the second eye image.
The invention further improves that the authority opening unit also comprises an authority sharing strategy, and a customer realizes room authority sharing by selecting a room opening type at the mobile terminal; the room opening type comprises a private room and a shared room, when a customer selects the private room, the reserved room closes the shared authority, and the second set of the customer standard iris features only comprises iris features of reserved customers and peers; when a customer selects a shared room, the system will allocate a room for the customer based on the free room condition; the idle room condition comprises 'idle', 'residual' and 'full', the room standard quota is set as N people, when the room condition is 'residual', the system adds the iris feature of the customer into the second set of the iris feature of the customer in the room, the feature quantity M of the second set of the iris feature of the customer in the room is obtained, when M=N, the room is the 'full', and the system closes the sharing authority.
The invention further improves that the eye image matching unit comprises an iris checking strategy, the correction of the second eye image is realized by collecting the eye outline image in the first eye image and the eye outline image in the second eye image, and the similarity detection is carried out by the similarity comparison model in the similarity detection unit, so that the iris checking is completed.
The invention further improves that the room type prediction module comprises a step of acquiring a desired set of the reserved room types of the customers and a room type prediction sequence, and when the customers are detected to leave the reserved rooms, the system adds the sub-feature set mainly comprising the customers into a customer demand application sequence of the predicted rooms in advance according to the room type prediction sequence.
On the other hand, the invention provides a biological identification method for remote control of hotel door locks, which comprises the following specific steps:
s1, acquiring customer identity information, acquiring a customer eye image as a first eye image, extracting iris characteristic data in the first eye image, and inputting the iris characteristic data into a customer standard iris characteristic set;
s2, when a customer performs reservation demand operation, extracting iris features of the customer and the same person from the customer standard iris feature set to be a second set of customer standard iris features, and sending the second set of customer standard iris features to a reservation room door lock terminal;
s3, collecting a current customer eye image as a second eye image, extracting iris characteristic data in the second eye image, and verifying the identity of the customer through an iris verification strategy;
and S4, when the customer finishes the reservation room journey, implementing a room prediction strategy, predicting the overall expectation of the next destination of the customer by calculating the expectation that the customer goes to each room type from the reservation room type in the hotel and combining the reservation information of the customer, and sending the second set of customer standard iris characteristics to the prediction room type door lock terminal.
The invention is further improved in that the step S3 comprises the following specific steps:
s31, extracting an eye outline image in a first eye image, measuring an angle formed by an extension line of a connecting line of an inner eye corner and an outer eye corner of the eye outline and upper and lower frames of the image, and setting the angle as a correction reference angle;
s32, rotating the second eye image in the frame by referring to the rotation correction reference angle, correcting the second eye image with the position of the customer standard iris image, extracting the second set of iris features and the customer standard iris features in the second eye image, and importing the second set into a similarity comparison model to perform similarity detection, wherein the similarity is greater than 96%, and the verification is passed.
The invention further improves that the desire of customers in the hotel from the booking room type to each room type in S4 is obtained by the ratio of the probability of going from the booking room to the next room type in one hour of the period of time of the week and the probability of going from the booking room to all room types in one hour of the period of time of the week, and the booking room type is TP 1 Extracting TP within one hour of the period of time of nearly one week 1 Number of people in and out of room HM 1 Statistics from TP 1 Room to TP i Number of people in room HM i The slave TP is calculated within one hour of the period of time of the week 1 Expectations for going to the kth room typeWherein HM k Representing the slave TP 1 Room to TP k The number of people in the room, n, represents the total number of room types.
The invention is further improved in that a desired set of room types (E 1 ,E 2 ,…E n ) Mapping a desired set of room types in a room type results in a room type prediction sequence (TP 1 ',TP 2 ',…TP n ') extracting a set of customer's reserved room Types (TP) 1 ,TP 2 ,…TP m ) M represents the total number of rooms reserved by the customer, take (TP 1 ',TP 2 ',…TP n ')∩(TP 1 ,TP 2 ,…TP m ) As the customer room prediction sequence, a room type expectation set (E 1 ',E 2 ',…E m ') and a room type prediction sequence (TP) 1 ”,TP 2 ”,…TP m ”)。
Compared with the prior art, the invention has the beneficial effects that:
1. when a customer performs reservation demand operation, the system extracts iris features of the customer and the same person from the customer standard iris feature set to be listed as a second set of customer standard iris features, and sends an open authority instruction to a reservation room door lock terminal, so that the problem of customer privacy protection of public places with certain influence on biological features such as sauna rooms and shower rooms in hotel facilities is considered;
2. when the customer finishes the reservation room journey, the customer next destination is predicted by calculating the probability that the customer goes from the reservation room type to each room type in the hotel and combining the reservation information of the customer, and the second set of the standard iris characteristics of the customer is sent to the predicted room type door lock terminal again, so that the reservation time of the customer is saved.
Drawings
FIG. 1 is a schematic diagram of the workflow of a biometric identification system for remote control of hotel locks of the present invention;
FIG. 2 is a diagram of a biometric system for remote control of hotel locks in accordance with the present invention;
fig. 3 is a flowchart of a biometric identification method for remote control of hotel locks according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Example 1
Fig. 1 and 2 show a schematic workflow diagram and a system frame diagram of a biometric identification system for remote control of hotel locks according to the present invention, respectively, comprising:
the identity input module is used for acquiring customer identity information, collecting a customer eye image as a first eye image, extracting iris characteristic data in the first eye image and inputting the iris characteristic data into a customer standard iris characteristic set;
the permission distribution module is used for distributing an open permission set of the room type;
the instruction control module is used for extracting iris features of the customer and the same person from the customer standard iris feature set as a second set of customer standard iris features when the customer performs reservation demand operation, sending the second set of customer standard iris features to a reservation room door lock terminal, and sending an opening permission instruction;
the identity verification module is used for collecting the current eye image of the customer as a second eye image, extracting iris characteristic data in the second eye image and verifying the identity of the customer;
and the room type prediction module is used for predicting the next destination of the customer by calculating the probability that the customer in the hotel goes to each room type from the reserved room type and combining the reservation information of the customer when the customer finishes the reserved room journey, and sending the second set of the standard iris characteristics of the customer to the predicted room type door lock terminal again.
The authority allocation module comprises a step of listing iris characteristic data of a customer into a customer demand application sequence according to the order of customer reservation time from front to back, when the customer sends an application instruction, the customer possibly adds corresponding pedestrians in the travel process, if the pedestrians rejoin the customer demand application sequence again, hotel management is not facilitated, inconvenience is brought to the customer, a sub-characteristic set taking the customer as a main body is built to join the customer demand application sequence, the main body can add objects into the sub-characteristic set at any time, and the system automatically allocates authority opening time according to the time priority according to the application order of the customer and sends the customer demand application sequence into the instruction control module.
The instruction control module comprises a right opening unit and a feature set acquisition unit, wherein the right opening unit is used for managing room door lock rights, and the feature set acquisition unit is used for acquiring the second set of the standard iris features of the customer according to the customer demand application sequence and the room door lock rights; the authentication module comprises an eye image matching unit and a similarity detection unit, wherein the eye image matching unit is used for correcting the second eye image.
The authority opening unit further comprises an authority sharing strategy, and a customer realizes room authority sharing by selecting a room opening type at the mobile terminal; the room opening type comprises a private room and a shared room, when a customer selects the private room, the reserved room closes the shared authority, and the second set of the customer standard iris features only comprises iris features of reserved customers and peers; when a customer selects a shared room, the system will allocate a room for the customer based on the free room condition; the idle room condition comprises 'idle', 'residual' and 'full', the room standard quota is set as N people, when the room condition is 'residual', the system adds the iris feature of the customer into the second set of the iris feature of the customer in the room, the feature quantity M of the second set of the iris feature of the customer in the room is obtained, when M=N, the room is the 'full', and the system closes the sharing authority.
The eye image matching unit comprises an iris checking strategy, the correction of the second eye image is realized by collecting an eye outline image in the first eye image and an eye outline image in the second eye image, and the similarity detection is carried out through a similarity comparison model in the similarity detection unit, so that the iris checking is completed.
The room type prediction module comprises a desired set of reserved room types of customers and a room type prediction sequence, and when the customer is detected to leave the reserved room, the system adds the sub-feature set mainly comprising the customer into a customer demand application sequence of the predicted room in advance according to the room type prediction sequence.
Example 2
A biometric method for hotel door lock remote control based on any one of the biometric system implementations for hotel door lock remote control: fig. 3 shows a flowchart of a biological identification method for remote control of hotel door locks, comprising the following steps:
s1, acquiring customer identity information, acquiring a customer eye image as a first eye image, extracting iris characteristic data in the first eye image, and inputting the iris characteristic data into a customer standard iris characteristic set;
s2, when a customer performs reservation demand operation, extracting iris features of the customer and the same person from the customer standard iris feature set to be a second set of customer standard iris features, and sending the second set of customer standard iris features to a reservation room door lock terminal;
s3, collecting a current customer eye image as a second eye image, extracting iris characteristic data in the second eye image, and verifying the identity of the customer through an iris verification strategy;
and S4, when the customer finishes the reservation room journey, implementing a room prediction strategy, predicting the overall expectation of the next destination of the customer by calculating the expectation that the customer goes to each room type from the reservation room type in the hotel and combining the reservation information of the customer, and sending the second set of customer standard iris characteristics to the prediction room type door lock terminal.
The step S3 comprises the following specific steps:
s31, extracting an eye outline image in a first eye image, measuring an angle formed by an extension line of a connecting line of an inner eye corner and an outer eye corner of the eye outline and upper and lower frames of the image, and setting the angle as a correction reference angle;
s32, rotating the second eye image in the frame by referring to the rotation correction reference angle, correcting the second eye image with the position of the customer standard iris image, extracting the second set of iris features and the customer standard iris features in the second eye image, and importing the second set into a similarity comparison model to perform similarity detection, wherein the similarity is greater than 96%, and the verification is passed.
Due to the possible sharing of (N-1) from the current room type to the remaining room types-! If a second set of customer-standard iris feature authorizations is performed on the room door locks until the customer goes to the next room, which affects the system efficiency and the time allocation of the customer, the desire of the customer in the hotel to go from the reserved room type to the respective room type should be calculated by the ratio of the probability of going from the reserved room to the next room type in one hour of the period of nearly a week to the probability of going from the reserved room to all room types in one hour of the period of nearly a week, assuming the reserved room type as TP 1 Extracting TP within one hour of the period of time of nearly one week 1 Personnel coming in and going out of roomQuantity HM 1 Statistics from TP 1 Room to TP i Number of people in room HM i The slave TP is calculated within one hour of the period of time of the week 1 Expectations for going to the kth room typeWherein HM k Representing the slave TP 1 Room to TP k The number of people in the room, n, represents the total number of room types.
By the desire of the room type, a desired set of room types is obtained in order from the large to the small (E 1 ,E 2 ,…E n ) Mapping a desired set of room types in a room type results in a room type prediction sequence (TP 1 ',TP 2 ',…TP n ') extracting a set of customer's reserved room Types (TP) 1 ,TP 2 ,…TP m ) M represents the total number of rooms reserved by the customer, take (TP 1 ',TP 2 ',…TP n ')∩(TP 1 ,TP 2 ,…TP m ) As the customer room prediction sequence, a room type expectation set (E 1 ',E 2 ',…E m ') and a room type prediction sequence (TP) 1 ”,TP 2 ”,…TP m ”)。
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It should be understood that determining B from a does not mean determining B from a alone, but can also determine B from a and/or other information.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with embodiments of the present invention are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by way of wired or/and wireless networks from one website site, computer, server, or data center to another. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
In summary, in the embodiment of the invention, when a customer performs reservation demand operation, the system extracts iris features of the customer and the same person from the customer standard iris feature set to be a second set of customer standard iris features, sends the second set of customer standard iris features to a reservation room door lock terminal, and sends an open permission instruction, so that places with certain influence on fingerprints, such as sauna rooms and shower rooms in hotel facilities, are considered, and the privacy protection problem of the customer in public places is solved; and when the customer finishes the reservation room journey, the customer next destination is predicted by calculating the probability that the customer goes to each room type from the reservation room type in the hotel and combining the reservation information of the customer, and the second set of the standard iris characteristics of the customer is sent to the predicted room type door lock terminal again, so that the reservation time of the customer is saved.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are all within the protection of the present invention.

Claims (10)

1. A biological identification system for hotel lock remote control, its characterized in that: comprising the following steps:
the identity input module is used for acquiring customer identity information, collecting a customer eye image as a first eye image, extracting iris characteristic data in the first eye image and inputting the iris characteristic data into a customer standard iris characteristic set;
the permission distribution module is used for distributing an open permission set of the room type;
the instruction control module is used for extracting iris features of the customer and the same person from the customer standard iris feature set as a second set of customer standard iris features when the customer performs reservation demand operation, sending the second set of customer standard iris features to a reservation room door lock terminal, and sending an opening permission instruction;
the identity verification module is used for collecting the current eye image of the customer as a second eye image, extracting iris characteristic data in the second eye image and verifying the identity of the customer;
and the room type prediction module is used for predicting the next destination of the customer by calculating the probability that the customer in the hotel goes to each room type from the reserved room type and combining the reservation information of the customer when the customer finishes the reserved room journey, and sending the second set of the standard iris characteristics of the customer to the predicted room type door lock terminal again.
2. The biometric system for remote control of a hotel door lock of claim 1, wherein: the authority allocation module comprises a step of listing iris characteristic data of a customer into a customer demand application sequence according to the order of the customer reservation time from the beginning to the end, when the customer sends an application instruction, a sub-characteristic set taking the customer as a main body is established to add the customer demand application sequence, the main body can add objects into the sub-characteristic set at any time, the system automatically allocates authority opening time according to the time priority according to the application order of the customer, and the customer demand application sequence is sent into the instruction control module.
3. A biometric system for remote control of hotel locks as recited in claim 2, wherein: the instruction control module comprises a right opening unit and a feature set acquisition unit, wherein the right opening unit is used for managing room door lock rights, and the feature set acquisition unit is used for acquiring the second set of the standard iris features of the customer according to the customer demand application sequence and the room door lock rights; the authentication module comprises an eye image matching unit and a similarity detection unit, wherein the eye image matching unit is used for correcting the second eye image.
4. A biometric system for remote control of hotel locks according to claim 3, wherein: the authority opening unit further comprises an authority sharing strategy, and a customer realizes room authority sharing by selecting a room opening type at the mobile terminal; the room opening type comprises a private room and a shared room, when a customer selects the private room, the reserved room closes the shared authority, and the second set of the customer standard iris features only comprises iris features of reserved customers and peers; when a customer selects a shared room, the system will allocate a room for the customer based on the free room condition; the idle room condition comprises 'idle', 'residual' and 'full', the room standard quota is set as N people, when the room condition is 'residual', the system adds the iris feature of the customer into the second set of the iris feature of the customer in the room, the feature quantity M of the second set of the iris feature of the customer in the room is obtained, when M=N, the room is the 'full', and the system closes the sharing authority.
5. The biometric system for remote control of a hotel door lock of claim 4, wherein: the eye image matching unit comprises an iris checking strategy, the correction of the second eye image is realized by collecting an eye outline image in the first eye image and an eye outline image in the second eye image, and the similarity detection is carried out through a similarity comparison model in the similarity detection unit, so that the iris checking is completed.
6. The biometric system for remote control of a hotel door lock of claim 5, wherein: the room type prediction module comprises a desired set of reserved room types of customers and a room type prediction sequence, and when the customer is detected to leave the reserved room, the system adds the sub-feature set mainly comprising the customer into a customer demand application sequence of the predicted room in advance according to the room type prediction sequence.
7. A biometric method for remote control of hotel locks, based on a biometric system implementation for remote control of hotel locks according to any of claims 1 to 6, characterized in that: the method comprises the following specific steps:
s1, acquiring customer identity information, acquiring a customer eye image as a first eye image, extracting iris characteristic data in the first eye image, and inputting the iris characteristic data into a customer standard iris characteristic set;
s2, when a customer performs reservation demand operation, extracting iris features of the customer and the same person from the customer standard iris feature set to be a second set of customer standard iris features, and sending the second set of customer standard iris features to a reservation room door lock terminal;
s3, collecting a current customer eye image as a second eye image, extracting iris characteristic data in the second eye image, and verifying the identity of the customer through an iris verification strategy;
and S4, when the customer finishes the reservation room journey, implementing a room prediction strategy, predicting the overall expectation of the next destination of the customer by calculating the expectation that the customer goes to each room type from the reservation room type in the hotel and combining the reservation information of the customer, and sending the second set of customer standard iris characteristics to the prediction room type door lock terminal.
8. The biometric method for remote control of a hotel door lock of claim 7, wherein: the step S3 comprises the following specific steps:
s31, extracting an eye outline image in a first eye image, measuring an angle formed by an extension line of a connecting line of an inner eye corner and an outer eye corner of the eye outline and upper and lower frames of the image, and setting the angle as a correction reference angle;
s32, rotating the second eye image in the frame by referring to the rotation correction reference angle, correcting the second eye image with the position of the customer standard iris image, extracting the second set of iris features and the customer standard iris features in the second eye image, and importing the second set into a similarity comparison model to perform similarity detection, wherein the similarity is greater than 96%, and the verification is passed.
9. The biometric method for remote control of a hotel door lock of claim 8, wherein: the desire of the customers in the hotel from the reserved room type to the respective room types in S4 is obtained by the ratio of the probability of going from the reserved room to the next room type in one hour of the period of time of the near week and the probability of going from the reserved room to all the room types in one hour of the period of time of the near week, and the reserved room type is set as TP 1 Extracting TP within one hour of the period of time of nearly one week 1 Number of people in and out of room HM 1 Statistics from TP 1 Room to TP i Number of people in room HM i The slave TP is calculated within one hour of the period of time of the week 1 Expectations for going to the kth room typeWherein HM k Representing the slave TP 1 Room to TP k The number of people in the room, n, represents the total number of room types.
10. The biometric method for remote control of a hotel door lock of claim 9, wherein: by the desire of the room type, a desired set of room types is obtained in order from the large to the small (E 1 ,E 2 ,…E n ) Mapping a desired set of room types in the room types to obtain a predicted sequence of room types(TP 1 ′,TP′ 2 ,…TP′ n ) A set of customer-reserved room Types (TP) is extracted 1 ,TP 2 ,…TP m ) M represents the total number of rooms reserved by the customer, take (TP 1 ′,TP′ 2 ,…TP′ n )∩(TP 1 ,TP 2 ,…TP m ) As the customer room prediction sequence, a room type expectation set (E 'in the customer room prediction sequence is extracted' 1 ,E′ 2 ,…E′ m ) And a room type prediction sequence (TP) 1 ”,TP 2 ”,…TP m ”)。
CN202311387649.9A 2023-10-25 2023-10-25 Biological identification system and method for hotel door lock remote control Pending CN117392738A (en)

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