CN111275456A - Intelligent contextual model selection customer service robot based on face voice recognition technology - Google Patents
Intelligent contextual model selection customer service robot based on face voice recognition technology Download PDFInfo
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- CN111275456A CN111275456A CN202010033318.5A CN202010033318A CN111275456A CN 111275456 A CN111275456 A CN 111275456A CN 202010033318 A CN202010033318 A CN 202010033318A CN 111275456 A CN111275456 A CN 111275456A
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- customer service
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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
- G06Q30/00—Commerce
- G06Q30/01—Customer relationship services
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
Abstract
The invention discloses an intelligent contextual model selection customer service robot based on a face voice recognition technology, which comprises a front-end contextual collection mechanism, wherein the output end of the front-end contextual collection mechanism is connected with a data editing module, the output end of the data editing module is connected with a data analysis module, the output end of the data analysis module is connected with a personal information risk evaluation unit, the output end of the personal information risk evaluation unit is connected with a data transmission module, the output end of the data transmission module is connected with a contextual comparison selection unit, and the output end of the contextual comparison selection unit is connected with a contextual display. This intelligent contextual model selects customer service robot based on face speech recognition technique has reached and has improved personnel's customer service selection efficiency, reduces and selects the cost of customer service, promotes and selects the purpose of overcoming robot work precision.
Description
Technical Field
The invention relates to the technical field of robots, in particular to an intelligent contextual model selection customer service robot based on a face voice recognition technology.
Background
A robot is a machine device that automatically performs work. It can accept human command, run the program programmed in advance, and also can operate according to the principle outline action made by artificial intelligence technology. Its task is to assist or replace the work of human work.
At present, the selection of the customer service in the contextual model is completed through manual selection, so that the working intelligence degree is low, and the rapid selection of the customer service by office personnel is not facilitated, so that the working efficiency is low.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent contextual model selection customer service robot based on a face voice recognition technology, and solves the problems that the current contextual model selection customer service is completed through manual selection, the work intelligence degree is low, workers are not facilitated to quickly select the customer service, and the work efficiency is low.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: the intelligent contextual model selection customer service robot based on the face voice recognition technology comprises a front-end contextual collection mechanism, wherein the output end of the front-end contextual collection mechanism is connected with a data editing module, the output end of the data editing module is connected with a data analysis module, the output end of the data analysis module is connected with a personal information risk assessment unit, the output end of the personal information risk assessment unit is connected with a data transmission module, the output end of the data transmission module is connected with a contextual comparison selection unit, and the output end of the contextual comparison selection unit is connected with a contextual display.
Preferably, the output end of the personal information risk assessment unit is connected with an assessment alarm, and the other output end of the personal information risk assessment unit is connected with the front-end scene acquisition mechanism through a feedback unit.
Preferably, the input end of the personal information risk assessment unit is connected with a risk template entry unit.
Preferably, an output end of the data transmission module is connected with a context information buffer, the context information buffer unit includes a network diagnostor, and an output end of the network diagnostor is connected with the buffer.
Preferably, the output end of the scene comparison selection unit is connected with a scene data storage, and the output end of the scene data storage is connected with the input end of the scene comparison selection unit.
Preferably, the personal information risk assessment unit comprises a data information comparison unit, and the output end of the data information comparison unit is connected with a comparison processing unit.
Preferably, the input end of the data information comparison unit is connected with the data analysis module, and the output end of the data information comparison unit is connected with the evaluation alarm.
Preferably, the front end sight collection mechanism includes the robot shell, the position fixedly connected with installation inside groove that the robot shell right side is close to the top, the right side fixedly connected with cover glass of installation inside groove, the inside left side of installation inside groove just is close to the position fixedly connected with display screen of below, the inside left side of installation inside groove just is close to the position fixedly connected with camera of top, the inside left side of installation inside groove just is located the below fixedly connected with light filling lamp of camera, the microphone is recorded to the outside below fixedly connected with on right side of robot shell.
Preferably, the outside right side of robot shell just is close to the position fixedly connected with auxiliary bearing of top, auxiliary bearing's inside is run through and is rotated and be connected with the transmission swing arm, the inside of transmission swing arm is run through and threaded connection has the transmission lead screw, the clean piece of wiping of bottom fixedly connected with of transmission lead screw, the clean piece of wiping and protective glass's surface contact, the outside right side of robot shell just is located protective glass's the miscellaneous groove of below fixedly connected with collection.
Preferably, the top of the robot housing is fixedly connected with a motor, the output end of the motor is fixedly connected with a driving rotating wheel, the transmission rotating rod is close to the axis of the upper part and is fixedly connected with a driven rotating wheel, and the driven rotating wheel is in transmission connection with the driving rotating wheel through a belt.
(III) advantageous effects
The invention provides an intelligent contextual model selection customer service robot based on a face voice recognition technology. The method has the following beneficial effects:
the intelligent contextual model selection customer service robot based on the face voice recognition technology transmits collected face and voice information to a data editing module through a front-end contextual collection mechanism, then transmits the edited data to a personal information risk assessment unit through a data analysis module, a data information comparison unit performs item comparison on the data according to the previous data, transmits the data with high matching degree of contrast to a contextual comparison selection unit through a data transmission module to select customer service, and displays the selection information and the personal information on a contextual display; the network diagnostor diagnoses the network transmission condition of the data transmission module, and when the network transmission is interrupted, the buffer temporarily stores the information; when the data information comparison unit has low contrast goodness of fit, the comparison processing unit transmits the information to the feedback unit for re-acquisition and controls the evaluation alarm to work; steerable motor work, the motor passes through the belt and drives the rotation of transmission swing arm to the transmission lead screw drives the piece of cleaning and wipes the piece downstream, and the piece of cleaning is wiped and is wiped the dust and the impurity on protective glass surface, and the camera discerned the people's face, guarantees the accuracy of people's face data acquisition, has reached and has improved personnel of handling service customer service selection efficiency, reduces the selection customer service cost, promotes the purpose of selecting to overcome robot work precision.
Drawings
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a block diagram of a personal information risk assessment unit according to the present invention;
fig. 3 is a block diagram of a context information caching unit according to the present invention;
FIG. 4 is a schematic structural diagram of a front-end scene acquisition mechanism according to the present invention;
FIG. 5 is a schematic structural diagram of A in FIG. 4 according to the present invention.
In the figure: 1 feedback unit, 2 data editing module, 3 data analysis module, 4 personal information risk assessment unit, 401 data information comparison unit, 402 comparison processing unit, 5 data transmission module, 6 scene comparison selection unit, 7 scene display, 8 assessment alarm, 9 risk template entry unit, 10 scene information buffer unit, 101 network diagnoser, 102 buffer, 11 scene data storage, 12 front end scene acquisition mechanism, 1201 robot housing, 1202 installation internal groove, 1203 protective glass, 1204 display screen, 1205 camera, 1206 fill light, 1207 recording microphone, 1208 auxiliary bearing, 1209 transmission rotary rod, 1210 transmission screw rod, 1211 cleaning wipe, 1212 set miscellaneous groove, 1213 motor, 1214 driving rotary wheel, 1215 driven rotary wheel, 1216 belt.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: the utility model provides an intelligence contextual model selects customer service robot based on face speech recognition technique, including front end scene collection mechanism 12, the output of front end scene collection mechanism 12 is connected with data editing module 2, the output of data editing module 2 is connected with data analysis module 3, data analysis module 3's output is connected with personal information risk evaluation unit 4, personal information risk evaluation unit 4's output is connected with data transmission module 5, data transmission module 5's output is connected with scene contrast selection unit 6, scene contrast selection unit 6's output is connected with scene display 7. The output end of the personal information risk assessment unit 4 is connected with an assessment alarm 8, and the other output end of the personal information risk assessment unit 4 is connected with a front-end scene acquisition mechanism 12 through a feedback unit 1. The input end of the personal information risk assessment unit 4 is connected with a risk template recording unit 9. The output end of the data transmission module 5 is connected with a context information buffer 10, the context information buffer unit 10 comprises a network diagnostor 101, and the output end of the network diagnostor 101 is connected with a buffer 102. The output end of the scene comparison selection unit 6 is connected with a scene data storage 11, and the output end of the scene data storage 11 is connected with the input end of the scene comparison selection unit 6. The personal information risk assessment unit 4 comprises a data information comparison unit 401, and the output end of the data information comparison unit 401 is connected with a comparison processing unit 402. The input of the data information comparison unit 401 is connected to the data analysis module 3, and the output of the data information comparison unit 401 is connected to the evaluation alarm 8. Front end sight collection mechanism 12 includes robot shell 1201, the position fixedly connected with installation inside groove 1202 that the robot shell 1201 right side is close to the top, the right side fixedly connected with cover glass 1203 of installation inside groove 1202, the inside left side of installation inside groove 1202 just is close to the position fixedly connected with display screen 1204 of below, the inside left side of installation inside groove 1202 just is close to the position fixedly connected with camera 1205 of top, the inside left side of installation inside groove 1202 just is located the below fixedly connected with light filling lamp 1206 of camera 1205, the outside below fixedly connected with on right side of robot shell 1201 records microphone 1207. The right side of the outside of the robot shell 1201 is fixedly connected with an auxiliary bearing 1208 close to the upper position, the inside of the auxiliary bearing 1208 penetrates through and is rotatably connected with a transmission rotating rod 1209, the inside of the transmission rotating rod 1209 penetrates through and is in threaded connection with a transmission screw rod 1210, the bottom of the transmission screw rod 1210 is fixedly connected with a cleaning wiping sheet 1211, the cleaning wiping sheet 1211 is in surface contact with the protective glass 1203, and the right side of the outside of the robot shell 1201 is fixedly connected with a sundry collecting groove 1212 which is located below the protective glass 1203. The top of the robot housing 1201 is fixedly connected with a motor 1213, the output end of the motor 1213 is fixedly connected with a driving wheel 1214, the transmission rotary rod 1209 is fixedly connected with a driven wheel 1215 near the upper axis, and the driven wheel 1215 is in transmission connection with the driving wheel 1214 through a belt 1216.
When the system is used, the front-end scene acquisition mechanism 12 transmits acquired face and voice information to the data editing module 2, then transmits the edited data to the personal information risk evaluation unit 4 through the data analysis module 3, the data information comparison unit 401 compares the current data according to the previous data, transmits the data with high matching degree of contrast to the scene comparison selection unit 6 through the data transmission module 5 for selecting customer service, and displays the selection information and the personal information on the scene display 7; the network diagnoser 101 diagnoses the network transmission condition of the data transmission module 5, and when the network transmission is interrupted, the buffer 102 temporarily stores the information; when the data information comparison unit 401 has low contrast goodness of fit, the comparison processing unit 402 transmits the information to the feedback unit 1 for re-acquisition, and controls the evaluation alarm 8 to work; the motor 1213 can be controlled to work, the motor 1213 drives the transmission rotating rod 1209 to rotate through the belt 1216, so that the transmission screw rod 1210 drives the cleaning wiping sheet 1211 to move downwards, the cleaning wiping sheet 1211 wipes off dust and impurities on the surface of the protective glass 1203, the camera 1205 identifies the human face, and the accuracy of human face data acquisition is ensured.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation. The use of the phrase "comprising one of the elements does not exclude the presence of other like elements in the process, method, article, or apparatus that comprises the element.
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 (10)
1. The utility model provides an intelligence contextual model selects customer service robot based on face speech recognition technique, includes front end scene acquisition mechanism (12), its characterized in that: the output of front end sight collection mechanism (12) is connected with data editing module (2), the output of data editing module (2) is connected with data analysis module (3), the output of data analysis module (3) is connected with personal information risk assessment unit (4), the output of personal information risk assessment unit (4) is connected with data transmission module (5), the output of data transmission module (5) is connected with sight contrast selection unit (6), the output of sight contrast selection unit (6) is connected with sight display (7).
2. The intelligent contextual model selection customer service robot based on the face voice recognition technology as claimed in claim 1, wherein: the output end of the personal information risk assessment unit (4) is connected with an assessment alarm (8), and the other output end of the personal information risk assessment unit (4) is connected with a front-end scene acquisition mechanism (12) through a feedback unit (1).
3. The intelligent contextual model selection customer service robot based on the face voice recognition technology as claimed in claim 1, wherein: the input end of the personal information risk assessment unit (4) is connected with a risk template recording unit (9).
4. The intelligent contextual model selection customer service robot based on the face voice recognition technology as claimed in claim 1, wherein: the output end of the data transmission module (5) is connected with a context information buffer (10), the context information buffer unit (10) comprises a network diagnostor (101), and the output end of the network diagnostor (101) is connected with a buffer (102).
5. The intelligent contextual model selection customer service robot based on the face voice recognition technology as claimed in claim 1, wherein: the output end of the scene comparison selection unit (6) is connected with a scene data storage (11), and the output end of the scene data storage (11) is connected with the input end of the scene comparison selection unit (6).
6. The intelligent contextual model selection customer service robot based on the face voice recognition technology as claimed in claim 2, wherein: the personal information risk assessment unit (4) comprises a data information comparison unit (401), and the output end of the data information comparison unit (401) is connected with a comparison processing unit (402).
7. The intelligent contextual model selection customer service robot based on the face voice recognition technology as claimed in claim 6, wherein: the input end of the data information comparison unit (401) is connected with the data analysis module (3), and the output end of the data information comparison unit (401) is connected with the evaluation alarm (8).
8. The intelligent contextual model selection customer service robot based on the face voice recognition technology as claimed in claim 1, wherein: front end sight collection mechanism (12) includes robot shell (1201), the position fixedly connected with installation inside groove (1202) of top is close to robot shell (1201) right side, the right side fixedly connected with safety glass (1203) of installation inside groove (1202), the inside left side of installation inside groove (1202) just is close to position fixedly connected with display screen (1204) of below, the inside left side of installation inside groove (1202) just is close to position fixedly connected with camera (1205) of top, the inside left side of installation inside groove (1202) just is located below fixedly connected with light filling lamp (1206) of camera (1205), the below fixedly connected with on the outside right side of robot shell (1201) records microphone (1207).
9. The intelligent contextual model selection customer service robot based on the face voice recognition technology as claimed in claim 8, wherein: the robot comprises a robot shell (1201), an auxiliary bearing (1208) is fixedly connected to the right side of the outside of the robot shell (1201) and close to the position above the robot shell, a transmission rotating rod (1209) is connected to the inside of the auxiliary bearing (1208) in a penetrating mode and in a rotating mode, a transmission screw rod (1210) is connected to the inside of the transmission rotating rod (1209) in a penetrating mode and in a threaded mode, a cleaning wiping sheet (1211) is fixedly connected to the bottom of the transmission screw rod (1210), the cleaning wiping sheet (1211) is in surface contact with protective glass (1203), and a sundry collecting groove (1212) is fixedly connected to the right side of the outside of the robot shell (1201) and located below the.
10. The intelligent contextual model selection customer service robot based on the face voice recognition technology of claim 9, wherein: the top of the robot housing (1201) is fixedly connected with an electric motor (1213), the output end of the electric motor (1213) is fixedly connected with a driving rotating wheel (1214), the transmission rotating rod (1209) is fixedly connected with a driven rotating wheel (1215) close to the upper axis, and the driven rotating wheel (1215) is in transmission connection with the driving rotating wheel (1214) through a belt (1216).
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117873631A (en) * | 2024-03-12 | 2024-04-12 | 深圳市微克科技股份有限公司 | Dial icon generation method, system and medium based on user crowd matching |
| CN117873631B (en) * | 2024-03-12 | 2024-05-17 | 深圳市微克科技股份有限公司 | Dial icon generation method, system and medium based on user crowd matching |
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| CN111275456B (en) | 2023-05-16 |
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