CN111340651A - Intelligent unmanned hotel management system based on video - Google Patents
Intelligent unmanned hotel management system based on video Download PDFInfo
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- CN111340651A CN111340651A CN202010093805.0A CN202010093805A CN111340651A CN 111340651 A CN111340651 A CN 111340651A CN 202010093805 A CN202010093805 A CN 202010093805A CN 111340651 A CN111340651 A CN 111340651A
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- customer
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- hotel
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
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- 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
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention discloses an intelligent unmanned hotel management system based on videos, which comprises a video access service, an AI analysis service, a decoding service, a feature extraction service, a check-in management service, a personnel analysis service, a settlement service and a cleaning management service, wherein the video access service is used for capturing pictures of customers after the customers enter a hotel and transmitting the pictures back to a background, the videos are decoded through the decoding service, and the AI analysis service is used for analyzing the character information of the customers in the videos. The invention can automatically handle the procedures of check-in and check-out, automatically control the switches of the elevator and the room door, can analyze suspicious personnel who frequently go in and out of the hotel and do not normally check in the customer, and the customer can go into the elevator, the corridor and the door, and can automatically monitor and record whether the suspicious personnel track or not through video analysis, thereby ensuring the safety of the customer, automatically monitoring and recording the house cleaning or the record of the entrance of the staff into the guest room, realizing the no perception of the customer, and providing an autonomous, safe, reliable and clean check-in environment for the customer.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an intelligent unmanned hotel management system based on videos.
Background
With the rapid development of AI and 5G technologies in recent years, the landing of the application of the Internet of things is accelerated, the traditional hotel management and management mode is gradually changed, some unmanned hotels appear in recent years, and the current unmanned hotel scheme basically realizes the automatic check-in management of customers based on certificate acquisition equipment, a ladder control system and an access control system;
a customer firstly collects identity information through a certificate collection device, checks whether the identity information is consistent with preset client information, and then shoots a client photo through a camera for later credentials for controlling an elevator and an access control;
in the prior art, certificate information collection is realized through contact equipment, the collection equipment needs to be updated when certificates are updated, and the prior art mainly focuses on the management of living customers and lacks the management of strangers, suspicious personnel and workers.
Disclosure of Invention
The invention aims to provide an intelligent unmanned hotel management system based on videos, which can solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent unmanned hotel management system based on videos comprises a video access service, an AI analysis service, a decoding service, a feature extraction service, an attendance management service, a personnel analysis service, a settlement service and a cleaning management service;
the video access service is used for capturing pictures of the customers after entering the hotel, transmitting the pictures back to the background, decoding the videos through the decoding service, and analyzing the figure information of the customers in the videos by utilizing the AI analysis service;
the characteristic extraction service is used for extracting the character information of the customer in the video, further analyzing whether the customer information is matched with the reservation information and whether the check-in information is due, and meanwhile judging whether the visitor in the video is a suspicious person who frequently comes to the store;
the check-in management service is used for handling check-in procedures for the customers;
the personnel analysis service is used for analyzing suspicious personnel who frequently go in and out of the hotel and do not normally check in the customer;
the settlement service is used for calculating the required expense of the customer during the accommodation period and reminding the customer of paying;
the cleaning management service is used for monitoring and recording house dozens.
Preferably, the customer needs to make a reservation through the APP before entering the hotel.
Preferably, after the customer enters the hotel, the customer information is captured through the video access service, whether the customer has a reservation or not is judged through the AI analysis service, if no reservation exists, the customer is marked as a visitor, and whether the visitor is a suspicious person who frequently comes the hotel or not is judged.
Preferably, after the AI analysis service determines that the customer is a scheduled customer, it is further determined whether the customer check-in information is due, if so, the customer is marked as a visitor, if so, the visitor is determined as a suspicious person who frequently comes from the store, otherwise, the customer is marked as a normal customer.
Preferably, the customer is monitored by video both in the elevator and in the room.
Preferably, after the customer check-in time expires, the system prompts the customer that the house reservation has expired and whether to continue lodging, and if the customer chooses to continue lodging, the customer prolongs the lodging time, and otherwise requires the customer to leave within the specified time.
Preferably, after reminding the customer to leave the store, the camera automatically starts the monitoring mode, whether the customer leaves the store within the specified time is monitored through the camera, if the customer does not leave the store within the specified time, the system automatically renews the charge for the customer according to the specification, and simultaneously prompts the customer.
Preferably, after the camera detects that the customer leaves the store, the system automatically settles the account and simultaneously informs cleaning personnel of cleaning, and if the camera does not detect that the cleaning personnel cleans within the specified time, the system administrator is automatically informed.
Compared with the prior art, the invention has the beneficial effects that:
the system is completely based on videos, automatically analyzes the information of the customers based on a background AI algorithm service, can automatically handle the procedures of check-in and check-out, automatically controls the opening and closing of an elevator and a room door, is also provided with a personnel analysis service, can analyze suspicious personnel who frequently go in and out of the hotel and do not normally check in the customers, has an intelligent analysis function, automatically monitors and records house cleaning or the record of the entrance of the staff to the guest room from the entrance, the elevator, the corridor and the entrance of the customers to the doorway through video analysis to ensure the safety of the customers, has a cleaning service management function, realizes no perception of the customers, and provides an autonomous, safe, reliable and tidy check-in environment for the customers.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a flow chart of the check-in of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: an intelligent unmanned hotel management system based on videos comprises a video access service, an AI analysis service, a decoding service, a feature extraction service, an attendance management service, a personnel analysis service, a settlement service and a cleaning management service;
the video access service is used for capturing pictures of the customers after entering the hotel, transmitting the pictures back to the background, decoding the videos through the decoding service, and analyzing the figure information of the customers in the videos by utilizing the AI analysis service;
the characteristic extraction service is used for extracting the character information of the customer in the video, further analyzing whether the customer information is matched with the reservation information and whether the check-in information is due, and meanwhile judging whether the visitor in the video is a suspicious person who frequently comes to the store;
the check-in management service is used for handling check-in procedures for the customers;
the personnel analysis service is used for analyzing suspicious personnel who frequently go in and out of the hotel and do not normally check in the customer;
the settlement service is used for calculating the required expense of the customer during the accommodation period and reminding the customer of paying;
the cleaning management service is used for monitoring and recording house dozens.
As shown in fig. 2, a customer firstly makes a hotel reservation through APP software, when the customer enters the hotel, a video access service captures a customer picture by using a camera and returns the picture to a background, a video is decoded by using a decoding service, the character information of the customer in the video is analyzed by using an AI analysis service, whether the customer has a reservation is judged, if no reservation is made, the customer is marked as a visitor and is judged as a suspicious person of a frequent call, after the customer is judged as a scheduled customer, whether the check-in information of the customer is due is also judged, if yes, the customer is marked as a visitor and is judged as a suspicious person of the frequent call, otherwise, the customer is marked as a normal call, when the customer enters an elevator, the camera returns the captured video picture to the background for analysis, the background analyzes that the customer normally goes, a corresponding floor is automatically selected, otherwise, the elevator cannot select a floor, after a customer leaves the elevator, the corridor camera transmits a captured video picture back to the background for analysis, the background analyzes whether the customer normally enters the elevator, if not, the action track of the current task is recorded, if so, the customer is monitored to walk to the door of a room, the background analyzes whether suspicious personnel are tracked according to real-time data of the routes of the entrance, the elevator and the corridor of the customer, if so, the background prompts the customer that the suspicious personnel are nearby, the door is opened carefully, otherwise, the door is opened automatically, the customer enters the room to enter the room, when the residence time of the customer is over, the system prompts the customer that the house reservation is due, whether the residence is continued, the residence time is prolonged if the customer chooses to continue the residence, otherwise, the customer is required to leave within the specified time, after the customer is reminded to leave the store, the camera automatically starts a monitoring mode, whether the customer leaves the store within the specified time is monitored by the camera, if the customer still, the system automatically renews the charge for the customer according to the regulations and simultaneously prompts the customer, after the camera monitors that the customer leaves the store, the system automatically settles accounts and simultaneously informs cleaning personnel to clean the sanitation, and if the camera does not detect that the cleaning personnel cleans within the regulated time, the system administrator is automatically informed.
The system is completely based on videos, automatically analyzes the information of the customers based on a background AI algorithm service, can automatically handle the procedures of check-in and check-out, automatically controls the opening and closing of an elevator and a room door, is also provided with a personnel analysis service, can analyze suspicious personnel who frequently go in and out of the hotel and do not normally check in the customers, has an intelligent analysis function, automatically monitors and records house cleaning or the record of the entrance of the staff to the guest room from the entrance, the elevator, the corridor and the entrance of the customers to the doorway through video analysis to ensure the safety of the customers, has a cleaning service management function, realizes no perception of the customers, and provides an autonomous, safe, reliable and tidy check-in environment for the customers.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides an intelligent unmanned hotel management system based on video which characterized in that: the system comprises a video access service, an AI analysis service, a decoding service, a feature extraction service, an attendance management service, a personnel analysis service, a settlement service and a cleaning management service;
the video access service is used for capturing pictures of the customers after entering the hotel, transmitting the pictures back to the background, decoding the videos through the decoding service, and analyzing the figure information of the customers in the videos by utilizing the AI analysis service;
the characteristic extraction service is used for extracting the character information of the customer in the video, further analyzing whether the customer information is matched with the reservation information and whether the check-in information is due, and meanwhile judging whether the visitor in the video is a suspicious person who frequently comes to the store;
the check-in management service is used for handling check-in procedures for the customers;
the personnel analysis service is used for analyzing suspicious personnel who frequently go in and out of the hotel and do not normally check in the customer;
the settlement service is used for calculating the required expense of the customer during the accommodation period and reminding the customer of paying;
the cleaning management service is used to monitor and record house cleaning.
2. The intelligent video-based unmanned hotel management system of claim 1, wherein: the customer needs to make a reservation through the APP before entering the hotel.
3. The intelligent video-based unmanned hotel management system of claim 1, wherein: after a customer enters a hotel, the customer information is captured through the video access service, whether the customer has a reservation or not is judged through the AI analysis service, if no reservation exists, the customer is marked as a visitor, and whether the visitor is a suspicious person who frequently comes the hotel or not is judged.
4. The intelligent video-based unmanned hotel management system of claim 3, wherein: the AI analysis service judges whether the customer is a scheduled customer and whether the customer check-in information is due, marks the customer as a visitor when the customer check-in information is due, judges whether the visitor is a suspicious person who frequently comes from the store, and otherwise marks the customer as a normal customer check-in.
5. The intelligent video-based unmanned hotel management system of claim 1, wherein: the video monitoring is carried out on the customers taking the elevator and entering the room.
6. The intelligent video-based unmanned hotel management system of claim 1, wherein: after the customer check-in time expires, the system prompts the customer that the house reservation has expired, whether to continue lodging or not, if the customer chooses to continue lodging, the lodging time is prolonged, and otherwise, the customer is required to leave within the specified time.
7. The intelligent video-based unmanned hotel management system of claim 6, wherein: after reminding the customer to leave the shop, the monitoring mode is automatically started by the camera, whether the customer leaves the shop within the specified time is monitored by the camera, if the customer still does not leave the shop within the specified time, the system automatically renews the fee for the customer according to the specification, and meanwhile, the customer is reminded.
8. The intelligent video-based unmanned hotel management system of claim 6, wherein: when the camera monitors that the customer leaves the store, the system automatically settles accounts and informs cleaning personnel to clean the sanitation, and when the camera does not detect that the cleaning personnel cleans within the specified time, the system administrator is automatically informed.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010093805.0A CN111340651A (en) | 2020-02-14 | 2020-02-14 | Intelligent unmanned hotel management system based on video |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010093805.0A CN111340651A (en) | 2020-02-14 | 2020-02-14 | Intelligent unmanned hotel management system based on video |
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| CN111340651A true CN111340651A (en) | 2020-06-26 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112668992A (en) * | 2020-12-15 | 2021-04-16 | 南京中诚签信息科技有限公司 | Unmanned hotel intelligent management system based on Internet of things |
| CN113115003A (en) * | 2021-04-14 | 2021-07-13 | 武汉畅途网络科技有限公司 | Hotel daily management safety online monitoring method based on image acquisition and analysis technology and Internet of things |
| CN115409654A (en) * | 2022-11-02 | 2022-11-29 | 威海海洋职业学院 | Unmanned hotel management method and system |
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| CN108564490A (en) * | 2018-06-26 | 2018-09-21 | 刘涵 | A kind of wisdom Hospitality management system based on object interconnection |
| CN110443923A (en) * | 2019-08-06 | 2019-11-12 | 金陵科技学院 | A kind of hotel's method for managing security based on artificial intelligence |
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2020
- 2020-02-14 CN CN202010093805.0A patent/CN111340651A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108564490A (en) * | 2018-06-26 | 2018-09-21 | 刘涵 | A kind of wisdom Hospitality management system based on object interconnection |
| CN110443923A (en) * | 2019-08-06 | 2019-11-12 | 金陵科技学院 | A kind of hotel's method for managing security based on artificial intelligence |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112668992A (en) * | 2020-12-15 | 2021-04-16 | 南京中诚签信息科技有限公司 | Unmanned hotel intelligent management system based on Internet of things |
| WO2022126489A1 (en) * | 2020-12-15 | 2022-06-23 | 南京中诚签信息科技有限公司 | Unmanned hotel intelligent management system based on internet of things |
| CN113115003A (en) * | 2021-04-14 | 2021-07-13 | 武汉畅途网络科技有限公司 | Hotel daily management safety online monitoring method based on image acquisition and analysis technology and Internet of things |
| CN115409654A (en) * | 2022-11-02 | 2022-11-29 | 威海海洋职业学院 | Unmanned hotel management method and system |
| CN115409654B (en) * | 2022-11-02 | 2023-02-07 | 威海海洋职业学院 | Unmanned hotel management method and system |
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