CN111275456B - 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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- CN111275456B CN111275456B CN202010033318.5A CN202010033318A CN111275456B CN 111275456 B CN111275456 B CN 111275456B CN 202010033318 A CN202010033318 A CN 202010033318A CN 111275456 B CN111275456 B CN 111275456B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
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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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- 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
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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 model acquisition mechanism, wherein the output end of the front-end contextual model acquisition 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 model comparison selection unit, and the output end of the contextual model comparison selection unit is connected with a contextual model display. The intelligent contextual model selection customer service robot based on the face voice recognition technology achieves the purposes of improving the customer service selection efficiency of office staff, reducing the customer service selection cost, and improving the working accuracy of the selection overcoming robot.
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
Robots are machine devices that automatically perform work. It can accept human command, run pre-programmed program and act according to the principle set by artificial intelligence technology. Its task is to assist or replace the work of human work.
At present, the scene mode selection customer service is completed through manual selection, so that the intelligent degree of the work is low, the quick selection of the customer service by office staff is not facilitated, and the work efficiency is low.
Disclosure of Invention
(one) solving the technical problems
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, which solves the problems that the current contextual model selection customer service is completed through manual selection, the intelligent degree of the work is low, and the quick selection of customer service by office staff is not facilitated, so that the work efficiency is low.
(II) technical scheme
In order to achieve the above 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 model acquisition mechanism and a contextual model information cache unit, wherein the output end of the front-end contextual model acquisition 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 model comparison selection unit, and the output end of the contextual model comparison selection unit is connected with a contextual model 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 a 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 input unit.
Preferably, the output end of the data transmission module is connected with a scenario information caching unit, the scenario information caching unit comprises a network diagnostic device, and the output end of the network diagnostic device is connected with a buffer.
Preferably, the output end of the scene comparison selecting 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 selecting unit.
Preferably, the personal information risk assessment unit comprises a data information comparison unit, and an 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 comprises a robot housing, the position fixedly connected with of robot housing right side near the top installs the inside groove, the right side fixedly connected with protection 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 below fixedly connected with on the outside right side of robot housing records the microphone.
Preferably, the outside right side of robot shell just is close to the position fixedly connected with auxiliary bearing of top, the inside of auxiliary bearing runs through and rotates and be connected with the transmission dwang, the inside of transmission dwang runs through and threaded connection has the transmission lead screw, the bottom fixedly connected with of transmission lead screw cleans the piece, clean piece and cover glass's surface contact of wiping, the outside right side of robot shell just is located cover glass's below fixedly connected with collection miscellaneous groove.
Preferably, the top of the robot shell is fixedly connected with a motor, the output end of the motor is fixedly connected with a driving rotating wheel, the axis of the transmission rotating rod close to the upper part 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) beneficial effects
The invention provides an intelligent contextual model selection customer service robot based on a face voice recognition technology. The beneficial effects are as follows:
the intelligent contextual model selection customer service robot based on the face voice recognition technology transmits acquired face and voice information to a data editing module through a front-end contextual acquisition mechanism, then transmits edited data to a personal information risk assessment unit through a data analysis module, and a data information comparison unit compares the data entry according to the previous data, transmits data with high comparison matching degree 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 is low in comparison coincidence degree, the comparison processing unit transmits information to the feedback unit for re-acquisition, and meanwhile, the evaluation alarm is controlled to work; the motor can be controlled to work, the motor drives the transmission rotary rod to rotate through the belt, the transmission screw rod drives the cleaning wiping piece to move downwards, the cleaning wiping piece erases dust and impurities on the surface of the protective glass, the camera identifies the face, the accuracy of face data acquisition is ensured, the customer service selection efficiency of staff is improved, the customer service selection cost is reduced, and the purpose of overcoming the working accuracy of the robot by means of selection is improved.
Drawings
FIG. 1 is a block diagram of the structure 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 showing a configuration of a scenario information buffering 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 diagram of the structure of fig. 4 a according to the present invention.
In the figure: the system comprises a 1 feedback unit, a 2 data editing module, a 3 data analysis module, a 4 personal information risk assessment unit, a 401 data information comparison unit, a 402 comparison processing unit, a 5 data transmission module, a 6 scene comparison selection unit, a 7 scene display, an 8 evaluation alarm, a 9 risk template input unit, a 10 scene information caching unit, a 101 network diagnosis device, a 102 cache, an 11 scene data storage device, a 12 front end scene acquisition mechanism, a 1201 robot shell, a 1202 installation inner groove, 1203 protective glass, 1204 display screen, 1205 cameras, 1206 light supplementing lamps, 1207 recording microphones, 1208 auxiliary bearings, 1209 transmission rotating rods, 1210 transmission screw rods, 1211 cleaning wiping sheets, 1212 impurity collecting grooves, 1213 motors, 1214 driving rotating wheels, 1215 driven rotating wheels and 1216 belts.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-5, the present invention provides a technical solution: the intelligent contextual model selection customer service robot based on the face voice recognition technology comprises a front-end contextual model acquisition mechanism 12 and a contextual model information caching unit 10, wherein the output end of the front-end contextual model acquisition mechanism 12 is connected with a data editing module 2, the output end of the data editing module 2 is connected with a data analysis module 3, the output end of the data analysis module 3 is connected with a personal information risk assessment unit 4, the output end of the personal information risk assessment unit 4 is connected with a data transmission module 5, the output end of the data transmission module 5 is connected with a contextual model comparison selection unit 6, and the output end of the contextual model comparison selection unit 6 is connected with a contextual model 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 input unit 9. The output end of the data transmission module 5 is connected with a scenario information caching unit 10, the scenario information caching unit 10 comprises a network diagnostor 101, and the output end of the network diagnostor 101 is connected with a cache 102. The output end of the scene comparison selecting 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 selecting 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 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. The front end scene acquisition mechanism 12 comprises a robot housing 1201, an installation inner groove 1202 is fixedly connected to the right side of the robot housing 1201 close to the upper side, a protective glass 1203 is fixedly connected to the right side of the installation inner groove 1202, a display screen 1204 is fixedly connected to the left side inside the installation inner groove 1202 and close to the lower side, a camera 1205 is fixedly connected to the left side inside the installation inner groove 1202 and close to the upper side, a light supplementing lamp 1206 is fixedly connected to the left side inside the installation inner groove 1202 and located below the camera 1205, and a recording microphone 1207 is fixedly connected to the right side outside the robot housing 1201. The right side outside the robot shell 1201 and the position close to the top are fixedly connected with auxiliary bearing 1208, and the inside of auxiliary bearing 1208 runs through and rotates and be connected with transmission dwang 1209, and the inside of transmission dwang 1209 runs through and threaded connection has transmission lead screw 1210, and the bottom fixedly connected with cleaning wipe 1211 of transmission lead screw 1210, cleaning wipe 1211 and the surface contact of cover glass 1203, the right side outside the robot shell 1201 just is located the below fixedly connected with collection miscellaneous groove 1212 of cover glass 1203. The top of the robot shell 1201 is fixedly connected with a motor 1213, the output end of the motor 1213 is fixedly connected with a driving rotary wheel 1214, a driven rotary wheel 1215 is fixedly connected to the position, close to the upper axis, of the transmission rotary rod 1209, and the driven rotary wheel 1215 is in transmission connection with the driving rotary 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 edited data to the personal information risk assessment unit 4 through the data analysis module 3, the data information comparison unit 401 compares the data entry according to the previous data, transmits the data with high comparison consistency to the scene comparison selection unit 6 through the data transmission module 5 for selection customer service, and displays the selection information and the personal information on the scene display 7; the network diagnostor 101 diagnoses the network transmission condition of the data transmission module 5, and when the network transmission is interrupted, the buffer 102 temporarily stores information; when the data information comparison unit 401 has low comparison coincidence degree, the comparison processing unit 402 transmits information to the feedback unit 1 for re-acquisition, and simultaneously controls the evaluation alarm 8 to work; the motor 1213 can be controlled to work, the motor 1213 drives the transmission rotary rod 1209 to rotate through the belt 1216, so that the transmission screw 1210 drives the cleaning wipe 1211 to move downwards, the cleaning wipe 1211 erases dust and impurities on the surface of the protective glass 1203, and the camera 1205 recognizes the face, so that the accuracy of face data acquisition is ensured.
It is noted that relational terms such as first and second, and the like are 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. Moreover, 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 term "comprising" an element defined by the term "comprising" does not exclude the presence of other identical elements in a process, method, article or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The utility model provides an intelligent contextual model selection customer service robot based on facial speech recognition technique, includes front end contextual model collection mechanism (12) and contextual information buffer unit (10), its characterized in that: the output end of the front-end scene acquisition mechanism (12) is connected with a data editing module (2), the output end of the data editing module (2) is connected with a data analysis module (3), the output end of the data analysis module (3) is connected with a personal information risk assessment unit (4), the output end of the personal information risk assessment unit (4) is connected with a data transmission module (5), the output end of the data transmission module (5) is connected with a scene comparison selection unit (6), and the output end of the scene comparison selection unit (6) is connected with a scene display (7);
front end sight collection system (12) includes robot shell (1201), the position that is close to the top on robot shell (1201) right side fixedly connected with installs inside groove (1202), the right side fixedly connected with protection glass (1203) of installing inside groove (1202), the position that is inside left side and is close to the below of installing inside groove (1202) fixedly connected with display screen (1204), the position that is inside left side and is close to the top of installing inside groove (1202) fixedly connected with camera (1205), the below fixedly connected with light filling lamp (1206) that just is located the inside left side of installing inside groove (1202) and is located camera (1205), the below fixedly connected with on the outside right side of robot shell (1201) records microphone (1207);
an auxiliary bearing (1208) is fixedly connected to the right side of the outer part of the robot shell (1201) and close to the upper part of the outer part of the robot shell, a transmission rotary rod (1209) is penetrated and rotationally connected to the inner part of the auxiliary bearing (1208), a transmission screw rod (1210) is penetrated and in threaded connection with the inner part of the transmission rotary rod (1209), a cleaning wiping sheet (1211) is fixedly connected to the bottom of the transmission screw rod (1210), the cleaning wiping sheet (1211) is in contact with the surface of the protective glass (1203), and a impurity collecting groove (1212) is fixedly connected to the right side of the outer part of the robot shell (1201) and positioned below the protective glass (1203);
the top of the robot shell (1201) is fixedly connected with a motor (1213), the output end of the motor (1213) is fixedly connected with a driving rotating wheel (1214), a driven rotating wheel (1215) is fixedly connected to the position, close to the axis above, of the driving rotating rod (1209), and the driven rotating wheel (1215) is in transmission connection with the driving rotating wheel (1214) through a belt (1216).
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 input 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 scenario information caching unit (10), the scenario information caching unit (10) comprises a network diagnostic device (101), and the output end of the network diagnostic device (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).
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| JPWO2012039122A1 (en) * | 2010-09-22 | 2014-02-03 | 日本電気株式会社 | Customer service analysis system, customer service analysis method, and customer service analysis program |
| CN102059700A (en) * | 2010-11-22 | 2011-05-18 | 南京信息工程大学 | Greeting robot system |
| CN109618068B (en) * | 2018-11-08 | 2021-04-16 | 上海航动科技有限公司 | Voice service pushing method, device and system based on artificial intelligence |
| CN209345268U (en) * | 2019-03-30 | 2019-09-03 | 新疆华中信息技术有限公司 | A kind of monitoring security protection camera with cleaning device |
| CN209928500U (en) * | 2019-04-16 | 2020-01-10 | 南京奇偶创想人工智能研究院有限公司 | Kindergarten face identification floodgate machine |
| CN110434868A (en) * | 2019-08-13 | 2019-11-12 | 郑州慧腾科技有限公司 | Robot is used in a kind of security protection patrol |
| CN110619568A (en) * | 2019-09-17 | 2019-12-27 | 王文斌 | Risk assessment report generation method, device, equipment and storage medium |
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