CN111612654A - Smart hotel information interaction system and interaction method thereof - Google Patents
Smart hotel information interaction system and interaction method thereof Download PDFInfo
- Publication number
- CN111612654A CN111612654A CN202010383009.0A CN202010383009A CN111612654A CN 111612654 A CN111612654 A CN 111612654A CN 202010383009 A CN202010383009 A CN 202010383009A CN 111612654 A CN111612654 A CN 111612654A
- Authority
- CN
- China
- Prior art keywords
- information
- consumption
- unit
- client
- data processing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000003993 interaction Effects 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 52
- 238000012795 verification Methods 0.000 claims abstract description 15
- 230000008921 facial expression Effects 0.000 claims abstract description 7
- 230000002452 interceptive effect Effects 0.000 claims abstract description 4
- 238000013135 deep learning Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 description 5
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Images
Classifications
-
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
-
- 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
- G06Q20/401—Transaction verification
- G06Q20/4014—Identity check for transactions
- G06Q20/40145—Biometric identity checks
-
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Accounting & Taxation (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Finance (AREA)
- Health & Medical Sciences (AREA)
- Computer Security & Cryptography (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Computing Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent hotel information interaction system and an interaction method thereof.A check-in and verification platform carries out admission and verification on the information of clients who check in, consumption scenes of different types are arranged in an intelligent hotel, and a consumption tendency recognition unit and a cost payment unit are arranged in a matched manner, wherein the consumption tendency recognition unit is used for extracting facial expressions of the clients, and the cost payment unit is used for paying the cost generated by the clients in a specific consumption scene; the big data processing platform is used as a basis for the background server to construct client data. Also discloses an interaction method of the intelligent hotel information interaction system, which comprises the following steps: (1) client information authentication and recording; (2) collecting and judging the preference value of the consumption scene; (3) and (5) interactively sharing the customer information. The method has the advantages that the preference value of the customer to the consumption scene can be accurately predicted, and the data interactive sharing of multiple intelligent hotels is realized.
Description
Technical Field
The invention relates to the technical field of information interaction, in particular to an intelligent hotel information interaction system and an interaction method thereof.
Background
Due to the rapid development of an online payment mode and a biological characteristic information collection mode, stores of alleys of a street almost pay first through the online payment mode; the concept and the operation mode of the intelligent hotel are also applied.
In the intelligent hotel operation process, because customer resources among different intelligent hotels are difficult to construct a big data processing platform, the customer data is difficult to analyze through the big data processing platform so as to optimize the self service mode.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide the intelligent hotel information interaction system and the interaction method thereof, which can accurately predict the preference value of a customer to a consumption scene and realize the data interaction and sharing of multiple intelligent hotels.
The technical scheme adopted by the invention for realizing the purpose is as follows: an intelligent hotel information interaction system comprises an information authentication platform, a consumption tendency identification unit, a fee payment unit, a big data processing platform and a background processor;
the information authentication platform performs admission and verification on the client information of the admission, and stores the client information qualified in admission verification to the big data processing platform;
the intelligent hotel is internally provided with more than one group of consumption scenes of different types, the consumption tendency recognition unit and the expense payment unit are matched with the consumption scenes, the consumption tendency recognition unit is used for extracting the facial expressions of the customers and storing the facial expressions to the big data processing platform, and the expense payment unit is used for paying the expenses generated in the specific consumption scenes by the customers, constructing an expense record and storing the expense record to the big data processing platform;
the big data processing platform is used for collecting data obtained by processing the information authentication platform, the consumption tendency identification unit and the expense payment unit and is used as a basis for the background server to construct client data;
and the background processor is used for receiving the customer data stored by the big data processing platform and optimizing the service mode of the intelligent hotel according to the customer data.
The big data processing platform exists as the shared data of a plurality of smart hotels, and each smart hotel is provided with the information authentication platform, the background processor, the expense payment unit and the consumption tendency identification unit in a matched manner.
The information authentication platform comprises an identity document recording unit, a biological information recording unit and a payment account recording unit which are connected through data, and the identity document recording unit, the biological information recording unit and the payment account recording unit are all installed on a front desk of the smart hotel.
The client information comprises identity information, biological information and payment information, the identity document recording unit is used for collecting the identity information of the client identity document and transmitting the identity information to the information authentication platform, the biological information recording unit is used for collecting the biological characteristics of the client to construct the biological information and transmitting the biological information to the information authentication platform, and the payment account number recording unit is used for collecting the payment account number of the client to pay the smart hotel expenses to construct the payment information and transmitting the payment information to the information authentication platform.
The biological information recording unit records the biological information of the client at least comprising fingerprint data and face data.
The consumption tendency recognition unit is installed at the entrance of the consumption scene, the consumption tendency recognition unit is connected with a camera in a data mode and used for shooting the face information of the client, and the shot face information of the client is transmitted to the big data processing platform to be analyzed and processed and quantized into the preference value of the consumption scene.
The expense payment unit is installed at an outlet of the consumption scene, the expense payment unit is in data connection with a biological information verification unit, the biological information verification unit is used for acquiring biological characteristics of the client, comparing the biological characteristics with biological information authenticated by the information authentication platform, and paying the expense generated by the client in the consumption scene to the expense payment unit by the payment information authenticated by the information authentication platform after the comparison is qualified.
When the big data processing platform stores customer data, the preference value of the customer for a specific consumption scene and the consumption record in the specific consumption scene are correspondingly stored under the same customer information.
When the big data processing platform quantifies the preference value of the client to a specific consumption scene, the big data processing platform constructs a data set for all client face information collected by the specific consumption scene and consumption records in the consumption scene, and processes the data set by adopting deep learning and judges the preference value of the client to the consumption scene.
An interaction method of an intelligent hotel information interaction system comprises the following contents:
(1) client information authentication and recording
When a client enters the intelligent hotel, identity information, biological information and payment information are recorded in a foreground and are correspondingly stored in a big data processing platform;
(2) consumption scene preference value recording and judging
The consumption tendency recognition unit collects face information of the customers in a consumption scene, the expense payment unit collects consumption records of the customers, the big data processing platform processes the face information and the consumption records of all groups of the customers in the corresponding consumption scene to determine the preference value of the customers, and the preference value of the customers in the consumption scene is judged according to the newly collected face information of the customers;
(3) client information interactive sharing
Different intelligent hotel data are connected into the big data processing platform, and the collected customer information and the preference value of the corresponding consumption scene are shared and interacted, so that the service mode of each intelligent hotel is optimized.
The invention has the beneficial effects that: the method has the advantages that a plurality of intelligent hotels are uniformly accessed to a big data processing platform, recorded customer data can be interactively shared, the information resources of the intelligent hotels are large enough, and the self service mode is optimized according to the information resources; and customer data collected by a plurality of intelligent hotels are all accessed into the big data processing platform, so that the accuracy of the customer data on the preference value of the consumption scene can be guaranteed.
Drawings
Fig. 1 is a schematic diagram of the implementation principle of the invention.
In the figure: 1 wisdom hotel, 2 big data processing platforms, 3 information authentication platforms, 4 consumption tendency recognition unit, 5 expense payment units, 6 backstage treater, 7 consumption scenes, 8 identity document admission units, 9 biological information admission units, 10 payment account admission units, 11 biological information verification units.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
Referring to fig. 1, a smart hotel information interaction system includes an information authentication platform 3, a consumption tendency recognition unit 4, a fee payment unit 5, a big data processing platform 2, and a background processor 6;
the information authentication platform 3 performs admission and verification on the client information of the admission, and stores the client information qualified in admission verification to the big data processing platform 2;
more than one group of consumption scenes 7 of different types are arranged in the smart hotel 1, the consumption tendency recognition unit 4 and the expense payment unit 5 are matched with the consumption scenes 7, the consumption tendency recognition unit 4 is used for extracting facial expressions of customers and storing the facial expressions into the big data processing platform 2, and the expense payment unit 5 is used for paying expenses generated by the customers in the specific consumption scenes 7, constructing consumption records and storing the consumption records into the big data processing platform 2;
the big data processing platform 2 is used for collecting data obtained by processing the information authentication platform 3, the consumption tendency identification unit 4 and the expense payment unit 5 and is used as a basis for constructing client data by a background server;
the background processor 6 is used for receiving the customer data stored by the big data processing platform 2 and optimizing the service mode of the intelligent hotel 1 according to the customer data.
Example 2
Referring to fig. 1, a detailed description and a supplement are further provided for the embodiment 1, in the present invention, a big data processing platform 2 exists as shared data of a plurality of smart hotels 1, each smart hotel 1 is provided with an information authentication platform 3, a background processor 6, a fee payment unit 5, and a consumption tendency identification unit 4, and each smart hotel 1 performs data interaction and sharing through the big data processing platform 2;
the information authentication platform 3 comprises an identity document recording unit 8, a biological information recording unit 9 and a payment account recording unit 10 which are connected with data, and the identity document recording unit 8, the biological information recording unit 9 and the payment account recording unit 10 are all installed on the front desk of the smart hotel 1, so that a client can conveniently and uniformly record and authenticate the identity information, the biological information and the payment information when logging in and logging out;
the client information comprises identity information, biological information and payment information, the identity document recording unit 8 is used for collecting the identity information of the client identity document and transmitting the identity information to the information authentication platform 3, the biological information recording unit 9 is used for collecting the biological characteristics of the client to construct the biological information and transmitting the biological information to the information authentication platform 3, and the payment account recording unit 10 is used for collecting the payment account number of the client to pay the cost of the smart hotel 1 to construct the payment information and transmitting the payment information to the information authentication platform 3;
the biological information recording unit 9 records the biological information of the client including at least fingerprint data and face data.
Example 3
Referring to fig. 1, the consumption tendency recognition unit 4 is further described and supplemented in detail with reference to embodiments 1 and 2, the consumption tendency recognition unit 4 is installed at an entrance of a consumption scene 7, the consumption tendency recognition unit 4 is connected with a camera for shooting the face information of a client in a data connection manner, and the shot face information of the client is transmitted to the big data processing platform 2 for analysis and quantization into a preference value of the consumption scene 7;
the expense payment unit 5 is installed at an outlet of the consumption scene 7, the expense payment unit 5 is in data connection with a biological information verification unit 11, the biological information verification unit 11 is used for acquiring biological characteristics of a client, comparing the biological characteristics with biological information authenticated by the information authentication platform 3, and paying the expense generated by the client in the consumption scene 7 to the expense payment unit 5 by using payment information authenticated by the information authentication platform 3 after the comparison is qualified;
when the big data processing platform 2 stores the customer data, the preference value of the customer for the specific consumption scene 7 and the consumption record in the specific consumption scene 7 are correspondingly stored under the same customer information;
when the big data processing platform 2 quantifies the preference value of the client to the specific consumption scene 7, the big data processing platform 2 constructs a data set for all the client face information collected for the specific consumption scene 7 and the consumption record in the consumption scene 7, processes the data set by adopting deep learning and judges the preference value of the client to the consumption scene 7.
Example 4
Referring to fig. 1, an interaction method of an intelligent hotel information interaction system includes the following steps:
(1) client information authentication and recording
When a client enters the intelligent hotel 1, identity information, biological information and payment information are recorded in a foreground and are correspondingly stored in the big data processing platform 2;
(2) consumption scenario 7 preference listing and evaluation
The consumption tendency recognition unit 4 collects face information of the customers in the consumption scene 7, the cost payment unit 5 collects consumption records of the customers, the big data processing platform 2 processes the face information and the consumption records of all groups of the customers in the corresponding consumption scene 7 to determine the preference values of the customers, and the preference values of the customers in the consumption scene 7 are judged according to the newly collected face information of the customers;
(3) client information interactive sharing
Different intelligent hotels 1 are connected with the big data processing platform 2 through data, and share and interact the collected customer information and the preference value corresponding to the consumption scene 7, so that the service mode of each intelligent hotel 1 is optimized.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. It will be apparent to those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, and the scope of protection is still within the scope of the invention.
Claims (10)
1. The utility model provides a wisdom hotel information interaction system which characterized in that includes: the system comprises an information authentication platform (3), a consumption tendency identification unit (4), a fee payment unit (5), a big data processing platform (2) and a background processor (6);
the information authentication platform (3) performs admission and verification on the client information of the check-in and stores the client information qualified in admission verification to the big data processing platform (2);
the intelligent hotel (1) is internally provided with more than one group of consumption scenes (7) of different types, the consumption tendency recognition unit (4) and the expense payment unit (5) are matched with the consumption scenes (7), the consumption tendency recognition unit (4) is used for extracting facial expressions of customers and storing the facial expressions to the big data processing platform (2), and the expense payment unit (5) is used for paying the expenses generated by the customers in the specific consumption scenes (7), constructing an expense record and storing the expense record to the big data processing platform (2);
the big data processing platform (2) is used for collecting data obtained by processing the information authentication platform (3), the consumption tendency identification unit (4) and the expense payment unit (5) and is used as a basis for constructing client data by a background server;
the background processor (6) is used for receiving the customer data stored by the big data processing platform (2) and optimizing the service mode of the intelligent hotel (1) according to the customer data.
2. The intelligent hotel information interaction system of claim 1, wherein: big data processing platform (2) exist as the shared data of many wisdom hotels (1), and every wisdom hotel (1) all forms a complete set and is provided with information authentication platform (3), backstage treater (6), expense payment unit (5), consumption tendency recognition unit (4).
3. The intelligent hotel information interaction system of claim 2, wherein: information authentication platform (3) are including data connection have identity document admission unit (8), bioinformation admission unit (9), payment account number admission unit (10), identity document admission unit (8), bioinformation admission unit (9), payment account number admission unit (10) are all installed the proscenium of wisdom hotel (1).
4. The intelligent hotel information interaction system of claim 3, wherein: customer information includes identity information, bioinformation, payment information, identity document admission unit (8) are used for gathering customer identity document's identity information and transmit to information authentication platform (3), bioinformation admission unit (9) are used for gathering customer's biological characteristics and construct bioinformation and transmit to information authentication platform (3), payment account number admission unit (10) are used for gathering the payment account number that the customer will pay wisdom hotel (1) expense in order to construct payment information and transmit to information authentication platform (3).
5. The intelligent hotel information interaction system of claim 4, wherein: the biological information recording unit (9) records the biological information of the client at least comprising fingerprint data and face data.
6. The intelligent hotel information interaction system of claim 5, wherein: the consumption tendency recognition unit (4) is installed at an entrance of the consumption scene (7), the consumption tendency recognition unit (4) is connected with a camera in a data mode and used for shooting face information of a client, and the shot face information of the client is transmitted to the big data processing platform (2) to be analyzed and quantized into a preference value of the consumption scene (7).
7. The intelligent hotel information interaction system of claim 6, wherein: the expense payment unit (5) is installed at an outlet of the consumption scene (7), the expense payment unit (5) is in data connection with a biological information verification unit (11), the biological information verification unit (11) is used for collecting biological characteristics of a customer and comparing the biological characteristics with biological information authenticated by the information authentication platform (3), and after the biological characteristics are compared with the biological information authenticated by the information authentication platform (3), the expense payment unit (5) is used for paying the expense generated by the customer in the consumption scene (7) by the payment information authenticated by the information authentication platform (3).
8. The intelligent hotel information interaction system of claim 7, wherein: when the big data processing platform (2) stores customer data, the preference value of the customer for a specific consumption scene (7) and the consumption record in the specific consumption scene (7) are correspondingly stored under the same customer information.
9. The intelligent hotel information interaction system of claim 7, wherein: when the big data processing platform (2) quantifies the preference value of the client to the specific consumption scene (7), the big data processing platform (2) constructs a data set for all the client face information collected by the specific consumption scene (7) and consumption records in the consumption scene (7), and the data set is processed by adopting deep learning and the preference value of the client to the consumption scene (7) is judged.
10. An interaction method of an intelligent hotel information interaction system is characterized by comprising the following steps:
(1) client information authentication and recording
When a customer enters the intelligent hotel (1), identity information, biological information and payment information are recorded in a foreground and are correspondingly stored in the big data processing platform (2);
(2) consumption scene (7) preference value recording and judging
The face information of the client is collected by a charge tendency recognition unit (4) in a consumption scene (7), the consumption record of the client is collected by a charge payment unit (5), the face information and the consumption record of each group of clients in the corresponding consumption scene (7) are processed by a big data processing platform (2) to determine the preference value of the client, and the preference value of the client to the consumption scene (7) is judged according to the newly collected face information of the client;
(3) client information interactive sharing
Different intelligent hotels (1) are connected with the big data processing platform (2) through data, and share interaction is carried out on the collected customer information and the preference value of the corresponding consumption scene (7) so as to optimize the service mode of each intelligent hotel (1).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010383009.0A CN111612654A (en) | 2020-05-08 | 2020-05-08 | Smart hotel information interaction system and interaction method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010383009.0A CN111612654A (en) | 2020-05-08 | 2020-05-08 | Smart hotel information interaction system and interaction method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111612654A true CN111612654A (en) | 2020-09-01 |
Family
ID=72203092
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010383009.0A Pending CN111612654A (en) | 2020-05-08 | 2020-05-08 | Smart hotel information interaction system and interaction method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111612654A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112402043A (en) * | 2020-11-16 | 2021-02-26 | 浙江万里学院 | Star-level hotel electric toothbrush sharing method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104835040A (en) * | 2015-05-26 | 2015-08-12 | 浙江维尔科技股份有限公司 | Payment method and system |
| CN104899706A (en) * | 2015-07-03 | 2015-09-09 | 成都怡云科技有限公司 | Intelligent hotel management system |
| CN106650610A (en) * | 2016-11-02 | 2017-05-10 | 厦门中控生物识别信息技术有限公司 | Human face expression data collection method and device |
| CN106682090A (en) * | 2016-11-29 | 2017-05-17 | 上海智臻智能网络科技股份有限公司 | Active interaction implementing device, active interaction implementing method and intelligent voice interaction equipment |
| CN107292773A (en) * | 2017-07-05 | 2017-10-24 | 合肥思博特软件开发有限公司 | A kind of intellectualized management system for hotel |
| CN107301578A (en) * | 2016-04-15 | 2017-10-27 | 上海新飞凡电子商务有限公司 | Obtain and recognize the method and its device of customer information |
| CN110543957A (en) * | 2019-07-26 | 2019-12-06 | 华中科技大学 | Intelligent hotel check-in method and corresponding device |
-
2020
- 2020-05-08 CN CN202010383009.0A patent/CN111612654A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104835040A (en) * | 2015-05-26 | 2015-08-12 | 浙江维尔科技股份有限公司 | Payment method and system |
| CN104899706A (en) * | 2015-07-03 | 2015-09-09 | 成都怡云科技有限公司 | Intelligent hotel management system |
| CN107301578A (en) * | 2016-04-15 | 2017-10-27 | 上海新飞凡电子商务有限公司 | Obtain and recognize the method and its device of customer information |
| CN106650610A (en) * | 2016-11-02 | 2017-05-10 | 厦门中控生物识别信息技术有限公司 | Human face expression data collection method and device |
| CN106682090A (en) * | 2016-11-29 | 2017-05-17 | 上海智臻智能网络科技股份有限公司 | Active interaction implementing device, active interaction implementing method and intelligent voice interaction equipment |
| CN107292773A (en) * | 2017-07-05 | 2017-10-24 | 合肥思博特软件开发有限公司 | A kind of intellectualized management system for hotel |
| CN110543957A (en) * | 2019-07-26 | 2019-12-06 | 华中科技大学 | Intelligent hotel check-in method and corresponding device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112402043A (en) * | 2020-11-16 | 2021-02-26 | 浙江万里学院 | Star-level hotel electric toothbrush sharing method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107609708B (en) | User loss prediction method and system based on mobile game shop | |
| CN107423613B (en) | Method and device for determining device fingerprint according to similarity and server | |
| CN111291900A (en) | Method and device for training risk recognition model | |
| WO2022252363A1 (en) | Data processing method, computer device and readable storage medium | |
| CN107886079A (en) | Object identifying method, apparatus and system | |
| CN108346050A (en) | A kind of method, apparatus creating user account and unmanned shop | |
| CN110414376B (en) | Method for updating face recognition model, face recognition camera and server | |
| CN108269331A (en) | A kind of intelligent video big data processing system | |
| CN109543504A (en) | Collaboration face identification system and method based on independent recognition of face terminal | |
| CN109885597A (en) | Tenant group processing method, device and electric terminal based on machine learning | |
| CN109992938A (en) | A kind of method of multi-user access computer data | |
| CN108710644A (en) | One kind is about government affairs big data processing method | |
| CN107077279A (en) | A kind of method and device of pressure detecting | |
| CN110675252A (en) | Risk assessment method and device, electronic equipment and storage medium | |
| CN111709382A (en) | Human body trajectory processing method and device, computer storage medium and electronic equipment | |
| CN109119163A (en) | Health detecting method and its system based on face recognition | |
| CN111612654A (en) | Smart hotel information interaction system and interaction method thereof | |
| CN111210150A (en) | Intelligent park system based on edge calculation | |
| CN113065908A (en) | Rental method, rental device, rental platform, and storage medium | |
| CN116186543A (en) | Financial data processing system and method based on image recognition | |
| CN111161743B (en) | Cash receiving supervision method and system based on voice recognition | |
| CN114510618B (en) | Processing method and device based on smart mine | |
| CN115442149B (en) | Data intrusion analysis method and server based on deep learning | |
| CN112929263B (en) | Real-time system with quick response | |
| CN111126503B (en) | Training sample generation method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200901 |