CN111968286B - Front-end visitor distribution method, device, equipment and storage medium combining RPA and AI - Google Patents
Front-end visitor distribution method, device, equipment and storage medium combining RPA and AI Download PDFInfo
- Publication number
- CN111968286B CN111968286B CN202010792723.5A CN202010792723A CN111968286B CN 111968286 B CN111968286 B CN 111968286B CN 202010792723 A CN202010792723 A CN 202010792723A CN 111968286 B CN111968286 B CN 111968286B
- Authority
- CN
- China
- Prior art keywords
- user
- access
- visited
- information
- determining
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 230000001960 triggered effect Effects 0.000 claims abstract description 21
- 238000004891 communication Methods 0.000 claims description 33
- 230000006870 function Effects 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 15
- 230000003993 interaction Effects 0.000 claims description 7
- 230000000977 initiatory effect Effects 0.000 claims description 4
- 239000000758 substrate Substances 0.000 claims 1
- 238000013473 artificial intelligence Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 16
- 230000008569 process Effects 0.000 description 9
- 238000004590 computer program Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- 238000012549 training Methods 0.000 description 5
- 238000004801 process automation Methods 0.000 description 3
- 238000012790 confirmation Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 230000008451 emotion Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
Landscapes
- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Telephonic Communication Services (AREA)
Abstract
The embodiment of the application discloses a foreground visitor shunting method, device, equipment and storage medium combining RPA and AI. The utility model relates to the field of artificial intelligence, wherein, a foreground visitor distribution method comprises the following steps: acquiring face information of a visiting user; determining the user identity of the visited user according to the face information, and providing a corresponding visited page for the visited user; according to the access request triggered by the access user on the access page, the access user is determined, and the access information is sent to the access user, so that automatic shunting of the access user is realized, and the shunting pressure of a foreground is relieved conveniently.
Description
Technical Field
The application relates to the field of intelligent interaction, in particular to a foreground visitor shunting method, device, equipment and storage medium combining RPA (Robotic Process Automation, robot flow automation) and AI (ARTIFICIA LINTELLIGENCE ).
Background
Robot process automation (Robotic Process Automation, RPA for short) is to simulate the operation of a human on a computer through specific "robot software" and automatically execute process tasks according to rules.
Artificial intelligence (ARTIFICIA LINTELLIGENCE), english is abbreviated AI. It is a new technical science for researching, developing theory, method, technology and application system for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the nature of intelligence and to produce a new intelligent machine that can react in a similar manner to human intelligence, research in this field including robotics, speech recognition, image recognition, natural language processing, and expert systems.
Along with development of science and technology, automated intelligent service goes into life of people, and particularly automation service based on office scenes is popular, foreground visitor distribution is an indispensable link of each office scene, in the prior art, a visited user generally needs to be registered through foreground personnel, and the visit destination is determined to inform a receiving user to receive.
The manual distribution mode has high dependence on manpower, distribution efficiency is low based on the manual distribution mode, and when the number of visitors is large, a foreground person can bear large distribution pressure.
Disclosure of Invention
The embodiment of the application applies for a foreground visitor shunting method, device, equipment and storage medium combining RPA and AI, realizes automatic shunting for visited users, and is convenient for relieving the shunting pressure of the foreground.
In a first aspect, an embodiment of the present application applies for a foreground visitor splitting method combining RPA and AI, where the method includes:
Acquiring face information of a visiting user;
determining the user identity of the visited user according to the face information, and providing a corresponding visited page for the visited user;
Determining a visiting user according to a visiting request triggered by the visiting user on the visiting page;
and sending access information to the access user.
Optionally, the visit request includes a visit destination;
The determining access users comprises the following steps:
and determining the corresponding access user according to the access purpose.
Optionally, the access request includes access user information;
The determining access users comprises the following steps:
And determining the corresponding access user according to the access user information.
Optionally, the sending the access information to the access user includes:
determining communication information of the access user in a preset communication database;
And sending the access information to the access user based on the communication information of the access user.
Optionally, the access information includes: visiting user information and/or the face information; wherein the visited user information is obtained by the visited user when the visited request is triggered.
Optionally, the method further comprises:
and according to the receipt of the visit receipt sent by the visit receiving user, displaying the visit receipt on the visit page.
Optionally, the receiving the visited receipt sent by the visited user and displaying the visited receipt on the visited page includes:
and if the visit receipt initiating operation triggered by the visit receiving user is received, displaying the visit receipt on the visit page.
Optionally, when receiving the instruction of starting the access function fed back by the access user, determining the access dialogue robot identifier to be called based on the identity identifier of the access user, and calling the access dialogue robot to perform dialogue interaction through the access dialogue robot identifier.
Optionally, when receiving the instruction of starting the access function fed back by the access user, confirming the reception question selected by the access user, generating a customized access dialogue robot based on the reception question, and performing dialogue with the access user based on the customized access dialogue robot.
In a second aspect, an embodiment of the present application further provides a foreground visitor splitting apparatus combining RPA and AI, where the apparatus includes:
The communication module is used for acquiring the face information of the visited user and providing a corresponding visited page for the visited user;
and the processing module is used for determining the user identity of the visited user according to the face information, determining the visited user according to the visited request triggered by the visited user on the visited page, and sending the visited information to the visited user.
In a third aspect, the present application provides an electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the method of any one of the preceding claims.
In a fourth aspect, the present application provides a computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement a method as claimed in any preceding claim.
The foreground visitor shunting method, the foreground visitor shunting device, the foreground visitor shunting electronic device and the foreground visitor shunting storage medium combining the RPA and the AI, provided by the application, acquire the face information of a visited user; determining the user identity of the visited user according to the face information, and providing a corresponding visited page for the visited user; according to the access request triggered by the access user on the access page, the access user is determined, and the access information is sent to the access user, so that automatic shunting of the access user is realized, and the shunting pressure of a foreground is relieved conveniently.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a network architecture on which the present application is based;
FIG. 2 is a schematic diagram of another network architecture on which the present application is based;
fig. 3 is a schematic flow chart of a foreground visitor splitting method combining RPA and AI according to an embodiment of the present application;
FIG. 4 is a first interface schematic diagram of a visited page according to an embodiment of the present application;
FIG. 5 is a second interface schematic diagram of a visited page according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a foreground guest shunting device combining RPA and AI according to the present application;
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application 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 application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that the terms "comprising" and "having" and any variations thereof in the embodiments of the present application and the accompanying drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
With the development of science and technology, automated intelligent services are popular in people's lives, and in particular, automated services based on office scenes are popular.
Foreground visitor splitting is an indispensable link of every office scene, and in the prior art, foreground visitor splitting is manually realized. When a visitor visits, registration is required under the lead of a foreground person, and the foreground person needs to determine the visit destination of the visitor to inform the visitor's visitor to take a reception.
The dependence of the mode on manpower is very big, on the one hand, when the foreground personnel temporarily leave the foreground, foreground visitor shunting will have to be suspended, on the other hand, when the visitor who visits simultaneously is more, the foreground personnel need to shunt each visitor in proper order, and its shunting required time is longer, and efficiency is lower.
The foreground visitor shunting method, the foreground visitor shunting device, the foreground visitor shunting electronic device and the foreground visitor shunting storage medium combining the RPA and the AI, provided by the application, acquire the face information of a visited user; determining the user identity of the visited user according to the face information, and providing a corresponding visited page for the visited user; according to the access request triggered by the access user on the access page, the access user is determined, and the access information is sent to the access user, so that automatic shunting of the access user is realized, and the shunting pressure of a foreground is relieved conveniently.
Referring to fig. 1, fig. 1 is a schematic diagram of a network architecture according to the present application, and as shown in fig. 1, the network architecture according to the present application may include a server 2 and terminals 1. Referring to fig. 2, fig. 2 is a schematic diagram of another network architecture according to the present application, and as shown in fig. 2, one network architecture according to the present application may include a server 2, terminals 1 and a foreground-guest shunting terminal 3.
In the architecture shown in fig. 1 or fig. 2, the server 2 is hardware or software that can interact with each terminal 1 through a network, and may be used to perform a foreground guest shunting method that combines RPA and AI as described in the following example one, and provide a foreground guest shunting service for clients carried on each terminal 1. When the server 2 is hardware, the cloud server having an operation function is included. When the server 2 is software, it may be installed in an electronic device having a computing function, including, but not limited to, a laptop computer, a desktop computer, and the like.
Further, the terminal 1 refers to a device including a smart phone, a tablet computer, and the like, which can communicate and exchange information with the aforementioned server 2 via a network. When the user to which the terminal 1 belongs is a visiting user, the terminal can acquire a visiting page through interaction with the server 2, and trigger a corresponding visiting request; when the user to which the terminal 1 belongs is a visiting user, the terminal can receive a visiting request initiated by the visiting user through interaction with the server 2 so as to prepare for visiting.
In particular, in the architecture shown in fig. 2, a foreground guest shunting terminal 3 is further included, where the foreground guest shunting terminal 3 refers to a hardware terminal including an interactive display and a communication function, and is disposed in the foreground. When a visitor arrives, the visited page can be acquired by controlling the foreground visitor distribution terminal 3, and a visited request is triggered.
The technical scheme of the foreground visitor shunting method, the device, the electronic equipment and the storage medium combining the RPA and the AI can realize the automatic processing of foreground visitor shunting. Specifically, for the visited users, the scheme of the application provides the visited users with the visited pages, so that each visited user can automatically trigger corresponding visited requests based on the visited pages and access based on the information fed back by the visited pages; for the access user, based on the access request received by the access page, the access user can initiate corresponding access notification to each access user, so that the access user can conveniently learn the message, and access is realized.
In a first aspect, referring to fig. 3, fig. 3 is a flow chart of a foreground visitor splitting method combining RPA and AI according to an embodiment of the present application. The foreground visitor shunting method combining RPA and AI provided by the embodiment of the application comprises the following steps:
Step 101, face information of a visited user is obtained.
Step 102, determining the user identity of the visited user according to the face information, and providing a corresponding visited page for the visited user.
And step 103, determining the access user according to the access request triggered by the access user on the access page and sending access information to the access user.
It should be noted that, the execution body of the foreground guest shunting method combining RPA and AI provided in this example is the aforementioned server.
Firstly, after a visiting user arrives at the foreground, the personal face information of the visiting user can be uploaded through terminals such as an intelligent terminal or a tablet personal computer used by the visiting user or a foreground visitor distribution terminal provided at the foreground. The visited user is a visiting user, and the visited user is a receiving user.
Specifically, when the visiting user uses the terminal, the image acquisition module of the terminal can be called by scanning a two-dimensional code or a bar code or logging in a designated interface and the like, so that the image of the face part of the visiting user is acquired. And then, the terminal sends the acquired image to a server so that the server processes the image to obtain the face information of the visited user. In addition, the visiting user can directly use the distribution terminal arranged at the foreground visitor to activate the image acquisition module, so that the shooting and uploading of the images of the human face are realized.
After the server acquires the image, the face information in the image can be extracted by using an image processing technology. Image processing includes, but is not limited to, image cropping, face positioning, feature extraction, and the like. Through image processing, the server can obtain the face information of the visiting user, wherein the face information can identify the unique user, namely, the face information corresponding to different users is different, such as the eye characteristics, the face characteristics and the like of the face.
Then, the server determines the user identity of the visited user according to the face information, and provides the corresponding visited page for the visited user. As one possible implementation, the server may determine the user identity of the visiting user by comparing the face information. Specifically, the server may store a face information database in which face information of staff members of the company where the server is located and face information of historical visitors who have visited the company are stored.
The user identity can be set according to specific application scenes, such as employee identity and non-employee identity, and can be further and more specifically applied to department A director, department A employee and the like, interviewees and inspectors and the like, so that different visited pages can be provided subsequently based on the unused user identity, and the flexibility and efficiency of foreground visitor distribution are further improved.
After the server receives the face information, whether the face information of the staff or the historical visitor which is consistent with the face information or has extremely high similarity is stored in a face information database is determined, and more specifically, the face information with the highest matching degree is determined as a comparison result by comparing each key feature in the face information.
It can be further understood that the matching degree can be calculated based on the corresponding weight set by each key feature in different face information, so that the matching accuracy is further improved.
If so, the user identity of the visited user can be determined directly based on the face information database, for example, the visited user is a branch employee (corresponding to the situation of matching with the face information of the employee in the database); or the visiting user is a business operator of the friend (corresponding to the case of matching with face information of historical visitors in the database).
If not, the visited user is determined to be a new visited user.
Based on the user identity of the visited user, the server will provide the corresponding visited page. The visited page is a user interface provided based on the identity of the user, and the visited page can interact with the visited user to further acquire a visited request.
For example, fig. 4 is a schematic diagram of a first interface of a visited page according to an embodiment of the present application. When the face information of the visiting user can be matched in the face information database, namely the identity of the visiting user is known, the visiting page can display the identity of the visiting user, and display the visiting purpose and the visiting user for confirmation. As shown in FIG. 4, the visited user is a staff member of a branch company, and identity information such as name information, work number information and the like is displayed on a visited interface.
Of course, the server may also be networked with a meeting reservation system or a process thing management system in the company to query the systems for whether there is a meeting or process thing related to the visiting user after determining the identity of the visiting user, and the meeting information or process thing information may be displayed on the visiting page together for the visiting user to view.
And then, the visiting user can determine the purpose of the visiting based on the information provided by the visiting page, so that the server generates a corresponding visiting request based on the options triggered by the visiting user, and sends the generated visiting information to the visiting user for the visiting user to prepare.
Fig. 5 is a second interface schematic diagram of a visited page according to an embodiment of the present application. When the face information of the visiting user may not match in the face information database, i.e., the identity of the visiting user is unknown, the visiting page may display several visiting destination options for confirmation thereof. As shown in fig. 5, the visited page provided for the visited user with options such as "reserved", "interview", "job in progress", "no reservation", etc. is provided for the visited user to select his visited purpose.
Then, the access user is determined based on the access destination, and an access request is generated, and the access information is transmitted to the access user. Specifically, the access information includes: visiting user information, and/or face information; the visited user information is acquired by the visited user when a triggered visited request is sent. For example, the visiting user information may be information of their name, contact, company, etc., while the face information may be a face image acquired. By sending the access information to the access user, the access user can be better prepared for access.
The embodiment can provide the visited page for the visited users, so that each visited user can automatically trigger a corresponding visited request based on the visited page and access based on the information fed back by the visited page; for the access user, based on the access request received by the access page, the access user can initiate corresponding access notification to each access user, so that the access user can conveniently learn the message, and access is realized.
Based on the above embodiments, in other alternative implementations, the visit request includes a visit destination; correspondingly, the server can determine the corresponding access user according to the access purpose. The visit purpose may be understood as the intention of the visiting user, such as communication training, interviewing or job entry, etc., and the visit purpose without using the visiting person may be the same or different.
For example, its visiting user may be different for different visiting purposes. In the visited page shown in fig. 4, when the visited purpose of the visited user is to communicate training, the corresponding visited user may be an employee training manager. In the visited page shown in fig. 5, when the visited purpose of the visited user is interview or job entering, the corresponding visited user may be HR; when the visit purpose is reservation, the visit receiving user can reserve personnel for the user; the visiting user may perform a reception staff for the company when visiting the purpose or without reservation.
In other optional implementations, the access request includes access user information based on the above embodiments; the determining access users comprises the following steps: and determining the corresponding access user according to the access user information. The information of the access user can be information such as the name, contact information, position and the like of the access user.
Specifically, when the visiting user knows the visiting person of this time, the corresponding visiting user may be an employee training manager when the visiting purpose of the visiting user is communication training as shown in fig. 4, or when the visiting purpose of the visiting user is reservation as shown in fig. 5, the visiting person may directly input the information of the visiting person through the visiting page to enable the server to acquire the information of the visiting user from the access request triggered by the visiting person, and determine the corresponding visiting user.
Furthermore, in other alternative embodiments, the method further comprises: determining communication information of the access user in a preset communication database; and sending the access information to the access user based on the communication information of the access user.
Specifically, after determining the access user, the server may determine the communication information of the access user in a preset staff communication database, where the communication information may be a mobile phone number, a working number, an internal communication mode, and so on. The server then transmits the access information generated in the foregoing embodiments to the access user through various communication channels.
In addition, on the basis of the foregoing embodiment, in order to facilitate the visiting user to learn the result of the visiting request as soon as possible, the server may display the visiting receipt on the visiting page according to receiving the visiting receipt sent by the visiting user. Specifically, after the access user receives the access information, the server may also send it an inquiry message as to whether to return to the access response piece. When a visit receipt initiating operation triggered by a visit receiving user is received, a visit receipt is displayed on a visit page; otherwise, no operation is performed. By the method, the visited user can be informed of the result of the visited request, and the emotion and pressure of the visited user when waiting for the visited user can be helped.
The foreground visitor distribution method combining the RPA and the AI can realize the automatic processing of foreground visitor distribution. For the visited users, the scheme of the application provides the visited users with the visited pages, so that each visited user can automatically trigger corresponding visited requests based on the visited pages and access based on the information fed back by the visited pages; for the access user, based on the access request received by the access page, the access user can initiate corresponding access notification to each access user, so that the access user can conveniently learn the message, and access is realized.
In an alternative embodiment, when the instruction of starting the access function fed back by the access user is received, the access dialogue robot identifier to be called is determined based on the identity identifier of the access user, and the access dialogue robot is called to perform dialogue interaction through the access dialogue robot identifier.
In practical application, the identity of the access user and the corresponding table of the access dialogue robot identity can be preset, and when the instruction of starting the access function can be determined, the access dialogue robot identity to be called can be determined according to the table.
By the embodiment, when the receiving user does not have time to receive the call or is not in the receiving area, the session robot replaces the receiving user to perform a session with the interviewee.
In one embodiment, when receiving the instruction of starting the call-in-place function fed back by the call-in user, the method can output an optional call-in question for the call-in user, and generate a customized call-in dialogue robot to perform dialogue with the call-in user according to the selection of the call-in question by the call-in user.
In practical application, a call session robot generation template can be preset, when a call user selects a reception problem, a call operation corresponding to the call problem is used as a call operation of the session robot, a call session robot is generated, the call operation corresponding to each call problem is output one by one for the call user, replies of the call user are collected, and the replies are fed back to the call user.
By the embodiment, after the interview dialogue robot and the interview user carry out dialogue, the answer meeting the requirements of the interview user can be obtained, and all possible questions do not need to be output to the interview user.
In a second aspect, the present embodiment provides a foreground visitor splitting device combined with RPA and AI, which may be disposed in the foregoing server, and fig. 6 is a schematic structural diagram of a foreground visitor splitting device combined with RPA and AI, as shown in fig. 6, where the foreground visitor splitting device combined with RPA and AI includes:
The communication module 10 is used for acquiring face information of the visited user and providing a corresponding visited page for the visited user;
the processing module 20 is configured to determine a user identity of the visited user according to the face information, and determine the visited user according to a visited request triggered by the visited user on a visited page, and send the visited information to the visited user through the communication module 10.
In an alternative embodiment, the visit request includes a visit destination; the processing module 20 is specifically configured to determine a corresponding access user according to the access purpose.
In an alternative embodiment, the access request includes access user information; the processing module 20 is specifically configured to determine a corresponding access user according to the access user information.
In an alternative embodiment, the processing module 20 is further configured to determine the communication information of the access user in a preset communication database; the communication module 10 is further configured to send the access information to the access user based on the communication information of the access user.
In an alternative embodiment, the access information includes: visiting user information, and/or face information; the visited user information is acquired by the visited user when a triggered visited request is sent.
In an alternative embodiment, the communication module 10 is further configured to display the receipt on the visited page according to receiving the receipt sent by the visited user.
In an alternative embodiment, the communication module 10 is further configured to display the visited receipt on the visited page if a visited receipt initiation operation triggered by the visited user is received.
The foreground visitor shunting device combining the RPA and the AI acquires the face information of the visiting user; determining the user identity of the visited user according to the face information, and providing a corresponding visited page for the visited user; according to the access request triggered by the access user on the access page, the access user is determined, and the access information is sent to the access user, so that automatic shunting of the access user is realized, and the shunting pressure of a foreground is relieved conveniently.
In the next aspect, the present embodiment further provides an electronic device, which may be configured to execute the technical solution of the foregoing method embodiment, and the implementation principle and the technical effect are similar, and this embodiment is not repeated herein.
Referring to fig. 7, a schematic diagram of an electronic device 900 suitable for implementing an embodiment of the present application is shown, where the electronic device 900 may be a terminal device or a server. The terminal device may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, personal digital assistants (Persona L DIGITA LASSISTANT, PDA for short), tablet computers (Portable Android Device, PAD for short), portable multimedia players (Portable MEDIA PLAYER, PMP for short), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 7 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the application.
As shown in fig. 7, the electronic apparatus 900 may include a processing device (e.g., a central processor, a graphics processor, etc.) 901 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 902 or a program loaded from a storage device 908 into a random access Memory (Random Access Memory RAM) 903. In the RAM 903, various programs and data necessary for the operation of the electronic device 900 are also stored. The processing device 901, the ROM902, and the RAM 903 are connected to each other through a bus 904. An input/output (I/O) interface 905 is also connected to the bus 904.
In general, the following devices may be connected to the I/O interface 905: input devices 906 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 907 including, for example, a Liquid Crystal Display (LCD) CRYSTA LDISPLAY, a speaker, a vibrator, and the like; storage 908 including, for example, magnetic tape, hard disk, etc.; and a communication device 909. The communication means 909 may allow the electronic device 900 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 shows an electronic device 900 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 909, or installed from the storage device 908, or installed from the ROM 902. When being executed by the processing device 901, performs the above-described functions defined in the method of the embodiment of the present application.
The computer readable medium of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer-readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the methods shown in the above-described embodiments.
Computer program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a local area network (Loca lArea Network, LAN for short) or a wide area network (Wide Area Network, WAN for short), or may be connected to an external computer (e.g., through the internet using an internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented in software or in hardware. The name of the unit does not in any way constitute a limitation of the unit itself, for example the first acquisition unit may also be described as "unit acquiring at least two internet protocol addresses".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
In the context of the present application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the application is not limited to the specific combinations of the features described above, but also covers other embodiments which may be formed by any combination of the features described above or their equivalents without departing from the spirit of the application. Such as the above-mentioned features and the technical features having similar functions (but not limited to) applied for in the present application are replaced with each other.
Moreover, although operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the application. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are example forms of implementing the claims.
Objects, technical solutions and advantages of the present application will become more apparent, and technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Claims (10)
1. The foreground visitor distribution method combining the RPA and the AI is characterized by comprising the following steps:
Acquiring face information of a visiting user;
determining the user identity of the visited user according to the face information, and providing a corresponding visited page for the visited user;
Determining a visiting user according to a visiting request triggered by the visiting user on the visiting page;
Sending access information to the access user;
the sending access information to the access user comprises the following steps:
determining communication information of the access user in a preset communication database;
based on the communication information of the access user, sending the access information to the access user;
When receiving a command for starting a call substituting function fed back by the call user, determining a call session robot identifier to be called based on the identity identifier of the call user, and calling the call session robot to perform session interaction through the call session robot identifier;
The determining the access dialogue robot identifier to be called comprises the following steps:
The identity of the access user is preset, a corresponding table of the access dialogue robot identity is preset, and when the instruction of starting the access function is determined, the access dialogue robot identity to be called is determined according to the corresponding table of the access dialogue robot identity.
2. The method of claim 1, wherein the visit request includes a visit destination;
The determining access users comprises the following steps:
and determining the corresponding access user according to the access purpose.
3. The method of claim 1, wherein the visited request includes visited user information;
The determining access users comprises the following steps:
And determining the corresponding access user according to the access user information.
4. The method of claim 1, wherein the access information comprises: visiting user information and/or the face information;
wherein the visited user information is obtained by the visited user when the visited request is triggered.
5. The method of any one of claims 1-4, further comprising:
and according to the receipt of the visit receipt sent by the visit receiving user, displaying the visit receipt on the visit page.
6. The method of claim 5, wherein the receiving the visited receipt sent by the visiting user and displaying the visited receipt on the visited page comprises:
and if the visit receipt initiating operation triggered by the visit receiving user is received, displaying the visit receipt on the visit page.
7. The method of claim 1, wherein the step of determining the position of the substrate comprises,
When receiving a command for starting the access substituting function fed back by the access user, confirming the reception problem selected by the access user, generating a customized access dialogue robot based on the reception problem, and carrying out dialogue with the access user based on the customized access dialogue robot.
8. A foreground guest shunting device combining RPA and AI, comprising:
The communication module is used for acquiring the face information of the visited user and providing a corresponding visited page for the visited user;
The processing module is used for determining the user identity of the visited user according to the face information, determining the visited user according to a visited request triggered by the visited user on the visited page, and sending the visited information to the visited user;
the sending access information to the access user comprises the following steps:
determining communication information of the access user in a preset communication database;
based on the communication information of the access user, sending the access information to the access user;
When receiving a command for starting a call substituting function fed back by the call user, determining a call session robot identifier to be called based on the identity identifier of the call user, and calling the call session robot to perform session interaction through the call session robot identifier;
The determining the access dialogue robot identifier to be called comprises the following steps:
The identity of the access user is preset, a corresponding table of the access dialogue robot identity is preset, and when the instruction of starting the access function is determined, the access dialogue robot identity to be called is determined according to the corresponding table of the access dialogue robot identity.
9. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the foreground guest shunting method in combination with RPA and AI as defined in any one of claims 1-7.
10. A computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the foreground guest shunting method in combination with RPA and AI of any one of claims 1-7.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2020102434725 | 2020-03-31 | ||
| CN202010243472 | 2020-03-31 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111968286A CN111968286A (en) | 2020-11-20 |
| CN111968286B true CN111968286B (en) | 2024-05-17 |
Family
ID=73365249
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010792723.5A Active CN111968286B (en) | 2020-03-31 | 2020-08-07 | Front-end visitor distribution method, device, equipment and storage medium combining RPA and AI |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111968286B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112652100B (en) * | 2020-12-29 | 2023-04-25 | 深圳市欧瑞博科技股份有限公司 | Intelligent guiding method for user, control panel and computer readable storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010079149A (en) * | 2008-09-29 | 2010-04-08 | Brother Ind Ltd | Visitor reception device, person-in-charge terminal, visitor reception method, and visitor reception program |
| JP2011077787A (en) * | 2009-09-30 | 2011-04-14 | Brother Industries Ltd | Information processor, information processing system, reception terminal used for the information processing system, information processing method and information processing program |
| CN105856257A (en) * | 2016-06-08 | 2016-08-17 | 以恒激光科技（北京）有限公司 | Intelligent robot suitable for reception |
| CN106161468A (en) * | 2016-08-31 | 2016-11-23 | 广州云系信息科技有限公司 | Visitor information identification system and method |
| CN106934889A (en) * | 2017-03-08 | 2017-07-07 | 深圳市至壹科技开发有限公司 | A kind of method and system of visitor's intelligent management |
| CN107598934A (en) * | 2017-09-01 | 2018-01-19 | 旗瀚科技有限公司 | A kind of intelligent robot foreground application system and method |
| CN108053523A (en) * | 2017-10-31 | 2018-05-18 | 上海雅直科技有限公司 | A kind of efficient wisdom managing caller service system and its method of work |
| CN108307351A (en) * | 2016-08-10 | 2018-07-20 | 向忠宏 | Robot social intercourse system and method |
| CN208061419U (en) * | 2018-04-20 | 2018-11-06 | 深圳市证通电子股份有限公司 | Robot terminal, guest server and business reception system |
| CN109416712A (en) * | 2016-09-20 | 2019-03-01 | 惠普发展公司，有限责任合伙企业 | The access authority of telepresence robot |
| CN109872177A (en) * | 2018-12-24 | 2019-06-11 | 深圳市珍爱捷云信息技术有限公司 | Flow path processing method, device, computer equipment and computer readable storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101553521B1 (en) * | 2008-12-11 | 2015-09-16 | 삼성전자 주식회사 | Intelligent robot and control method thereof |
-
2020
- 2020-08-07 CN CN202010792723.5A patent/CN111968286B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010079149A (en) * | 2008-09-29 | 2010-04-08 | Brother Ind Ltd | Visitor reception device, person-in-charge terminal, visitor reception method, and visitor reception program |
| JP2011077787A (en) * | 2009-09-30 | 2011-04-14 | Brother Industries Ltd | Information processor, information processing system, reception terminal used for the information processing system, information processing method and information processing program |
| CN105856257A (en) * | 2016-06-08 | 2016-08-17 | 以恒激光科技（北京）有限公司 | Intelligent robot suitable for reception |
| CN108307351A (en) * | 2016-08-10 | 2018-07-20 | 向忠宏 | Robot social intercourse system and method |
| CN106161468A (en) * | 2016-08-31 | 2016-11-23 | 广州云系信息科技有限公司 | Visitor information identification system and method |
| CN109416712A (en) * | 2016-09-20 | 2019-03-01 | 惠普发展公司，有限责任合伙企业 | The access authority of telepresence robot |
| CN106934889A (en) * | 2017-03-08 | 2017-07-07 | 深圳市至壹科技开发有限公司 | A kind of method and system of visitor's intelligent management |
| CN107598934A (en) * | 2017-09-01 | 2018-01-19 | 旗瀚科技有限公司 | A kind of intelligent robot foreground application system and method |
| CN108053523A (en) * | 2017-10-31 | 2018-05-18 | 上海雅直科技有限公司 | A kind of efficient wisdom managing caller service system and its method of work |
| CN208061419U (en) * | 2018-04-20 | 2018-11-06 | 深圳市证通电子股份有限公司 | Robot terminal, guest server and business reception system |
| CN109872177A (en) * | 2018-12-24 | 2019-06-11 | 深圳市珍爱捷云信息技术有限公司 | Flow path processing method, device, computer equipment and computer readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111968286A (en) | 2020-11-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111739553B (en) | Conference sound collection, conference record and conference record presentation method and device | |
| CN112241330A (en) | Flow processing method, device, equipment and storage medium combining RPA and AI | |
| CN110084317B (en) | Method and device for recognizing images | |
| US11610498B2 (en) | Voice interactive portable computing device for learning about places of interest | |
| CN115543535B (en) | Android container system, android container construction method and device and electronic equipment | |
| CN112188461A (en) | Control method and device for near field communication device, medium and electronic equipment | |
| CN111968286B (en) | Front-end visitor distribution method, device, equipment and storage medium combining RPA and AI | |
| CN115687553A (en) | Consultation direction method, consultation direction device, electronic equipment and computer readable medium | |
| CN114693876A (en) | Digital human generation method, device, storage medium and electronic equipment | |
| CN111104827A (en) | Image processing method and device, electronic equipment and readable storage medium | |
| CN111597441B (en) | Information processing method and device and electronic equipment | |
| CN111770484B (en) | Analog card switching method and device, computer readable medium and mobile terminal | |
| CN111062709B (en) | Resource transfer mode recommendation method and device, electronic equipment and storage medium | |
| CN210534865U (en) | Sign-in system | |
| CN114417214A (en) | Information display method and device and electronic equipment | |
| CN110188833B (en) | Method and apparatus for training a model | |
| CN111198926B (en) | Business handling management method and device, electronic equipment and storage medium | |
| CN112308511A (en) | Task plan generation method and device, electronic equipment and storage medium | |
| CN114827060A (en) | Interaction method and device and electronic equipment | |
| CN112306602A (en) | Timing method, timing device, electronic equipment and storage medium | |
| CN111967375A (en) | Service method based on figure portrait | |
| CN111435525A (en) | Reading plan determining method, device, equipment, server and storage medium | |
| CN114523476B (en) | Control method and device of service robot | |
| CN113591513B (en) | Method and apparatus for processing image | |
| CN110188712B (en) | Method and apparatus for processing image |
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 | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Country or region after: China Address after: 1902, 19 / F, China Electronics Building, 3 Danling Road, Haidian District, Beijing 100080 Applicant after: BEIJING LAIYE NETWORK TECHNOLOGY Co.,Ltd. Applicant after: Laiye Technology (Beijing) Co.,Ltd. Address before: 1902, 19 / F, China Electronics Building, 3 Danling Road, Haidian District, Beijing 100080 Applicant before: BEIJING LAIYE NETWORK TECHNOLOGY Co.,Ltd. Country or region before: China Applicant before: BEIJING BENYING NETWORK TECHNOLOGY Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |