CN109636200A - Restaurant service behavioral statistics method and apparatus - Google Patents
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Abstract
The embodiment of the invention provides a kind of restaurant service behavioral statistics method, apparatus, electronic equipment and computer readable storage mediums, solve existing restaurant service behavioral statistics mode and need to rely on artificial progress, and the problem that efficiency and accuracy are all lower.The restaurant service behavioral statistics method includes: the multiple behavioral datas of acquisition；Obtain the identity identification information in each behavioral data；It is behavioral data corresponding with the waiter by collected multiple behavioral data screenings according to the corresponding relationship of the identity identification information in the waiter and each behavioral data pre-established；And result is analyzed according to the behavioral data that the corresponding behavioral data of the waiter obtains the waiter.
Description
Technical field
The present invention relates to field of computer technology, and in particular to a kind of restaurant service behavioral statistics method, apparatus, electronics are set
Standby and computer readable storage medium.
Background technique
In a network environment, the behavioral data technology of user is very mature, and this maturation is mainly reflected in two
Aspect, on the one hand user behavior in a network environment has a certainty, the event that user can trigger all be prior
It is designed, user why can click addition shopping cart can settle accounts can cancel all be because the page on provide these
Button, therefore the designer of the page can bury the technologies such as a little by code, it is convenient to obtain such as registration addition cart page
The user behaviors information such as residence time.On the other hand it is easily determined the uniqueness of user in a network environment, such as is logging in
Before a certain website, we are often required to registration user information, after registration, the website occur all behaviors all
Can be associated with the user information of registration, exactly this behavior allows behavior number in network environment with being associated with for user is uniquely triggered
Become valuable according to analysis.
As the living standard of economic rapid development, the people increasingly improve, the requirement for service industry is also increasingly
Height, dining room is to acquiring first chance in keen competition environment, it is necessary to improve service quality.Service quality mainly includes three sides
Surface element, hardware facility, vegetable quality and labor service quality.However, traditional labor service mass measuring method, is such as received
Collect opinion card, customer interview and the guest that disguises, the result being collected into all is often subjective, whole, delay, is unfavorable for
Where helping administrative staff to find the problem.And relatively large dining room, since attendant is numerous, dining room administrative staff be difficult by
It navigates to where service problem.Therefore, be badly in need of it is a kind of can automated execution precise and high efficiency restaurant service behavioral statistics mode.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of restaurant service behavioral statistics method, apparatus, electronic equipment and meters
Calculation machine readable storage medium storing program for executing solves existing restaurant service behavioral statistics mode and needs to rely on artificial progress, and efficiency and accurate
The all lower problem of property.
According to an aspect of the present invention, a kind of restaurant service behavioral statistics method packet that one embodiment of the invention provides
It includes: acquiring multiple behavioral datas；Obtain the identity identification information in each behavioral data；According to the clothes pre-established
The corresponding relationship of business person and the identity identification information in each behavioral data sieve collected multiple behavioral datas
It is selected as behavioral data corresponding with the waiter；And the clothes are obtained according to the corresponding behavioral data of the waiter
The behavioral data of business person analyzes result.
In an embodiment of the present invention, corresponding with the identity identification information according to the waiter pre-established
Relationship further comprises before being behavioral data corresponding with the waiter by collected multiple behavioral data screenings: by
Collected the multiple behavioral data carries out time synchronization；And increase unified time mark for the multiple behavioral data
Label.
It is in an embodiment of the present invention, described that collected the multiple behavioral data is carried out time synchronization includes: base
In Network Time Protocol, the collected the multiple respective behavioral data of monitored object is subjected to time synchronization.
In an embodiment of the present invention, the multiple behavioral data includes video data；Wherein, the acquisition is each described
Identity identification information in behavioral data includes: to identify multiple monitored object according to the video data；And it obtains each
The recognition of face information of the monitored object；Wherein, the waiter and each behavior number that the basis pre-establishes
Collected multiple behavioral data screenings are corresponding with the waiter by the corresponding relationship of the identity identification information in
Behavioral data include: the clothes identified according to the recognition of face information of each monitored object in the multiple monitored object
Business person；And the identity identification information in the waiter that pre-establishes of the basis and each behavioral data
Corresponding relationship obtains other described behavioral datas in addition to the video data corresponding with the waiter.
In an embodiment of the present invention, the method further includes: the monitoring of waiter will be not identified as
Object identifying is customer.
In an embodiment of the present invention, described that the waiter is obtained according to the corresponding behavioral data of the waiter
Behavioral data analysis result include: judge waiter be directed to table service period whether be effective service point；And work as
When the waiter for the period of table service is effective service point, according to the clothes corresponding with the effective service point
The behavioral data of business person obtains the behavioral data analysis result of the waiter.
In an embodiment of the present invention, the multiple behavioral data includes video data, wherein judgement waiter's needle
It includes: to obtain waiter's distance in real time according to the video data that whether the period to table service, which is effective service point,
The distance of dining table；When the period that distance of the waiter apart from dining table is less than first threshold being greater than second threshold, judgement
Waiter is effective service point for the period of the table service.
In an embodiment of the present invention, the method further includes: the monitoring of waiter will be not identified as
Object identifying is customer；Wherein, the multiple behavioral data includes video data and audio data；Wherein, the judgement service
It includes: to obtain the waiter in real time according to the video data that whether member, which is effective service point for the period of table service,
Distance apart from dining table；When the period that distance of the waiter apart from dining table is less than first threshold being greater than second threshold,
Obtain the audio data of the corresponding waiter of the dining table and/or the customer；The waiter to acquisition and/or
The audio data of the customer carries out semantic analysis；And when the result of semantic analysis is judged as and meets preset condition,
Judge that waiter is directed to the period of the table service as effective service point.
In an embodiment of the present invention, the first threshold is 1 meter；And/or the second threshold is 5 seconds.
In an embodiment of the present invention, the behavioral data includes order information, wherein the method further includes: when
When the order information corresponding to the corresponding waiter of effective service point shows that order has been paid for, stop acquisition
The behavioral data of the waiter corresponding with the effective service point.
In an embodiment of the present invention, the behavioral data includes one of following items or multiple combinations: video counts
According to, audio data, position location data and order data；Wherein, the identity identification information in the video data is
Recognition of face information, the identity identification information in the audio data are voiceprint, in the position location data
The identification is newly position positioning device number, and the identity identification information in the order data is O/No..
In an embodiment of the present invention, the waiter behavioral data analysis result include one of following items or
Multiple combinations: one of service rate index, including following items or multiple combinations: response speed is defined as from dining table
There is customer, the dining table is judged as the time consumed by effective service point to first time；It serves speed for the first time, it is fixed
Justice is to occur the consumed time of vegetable for the first time from the time to table that order is set up；Moving distance is defined as waiter
Moving distance from starting to work current point in time；Served distance, be defined as that effective service point terminates when
Between the distance that moves between time for starting to presently described effective service point；And service rate, it is defined as last effectively clothes
The time between time that the time that business point terminates starts to this effective service point；Service range index, is defined as by multiple
Areal map attitude index made of the movement routine link of waiter between effective service point, including in following items
One or more combinations: facial emotions and voice mood；And one of service revenue index, including following items or more
Kind combination: quantity on order is defined as the total number of orders with waiter binding obtained by ordering system；And order gold
Volume is defined as the order total amount with waiter binding obtained by ordering system.
According to another aspect of the present invention, one embodiment of the invention provides a kind of restaurant service behavioral statistics device, comprising:
Behavioral data acquisition module is configured to acquire multiple behavioral datas, obtains the identity identification information in each behavioral data；
Behavioral data screening module is configured to according to the identity in the waiter and each behavioral data pre-established
Collected multiple behavioral data screenings are behavioral data corresponding with the waiter by the corresponding relationship of identification information；With
And behavioral data analysis module, it is configured to obtain the behavior of the waiter according to the corresponding behavioral data of the waiter
Data analysis result.
In an embodiment of the present invention, described device further comprises: behavioral data synchronization module, is configured to according to pre-
The corresponding relationship of the waiter that first establishes and the identity identification information, will collected multiple behavioral datas screenings be with
Before the corresponding behavioral data of the waiter, collected the multiple behavioral data is subjected to time synchronization, and be institute
It states multiple behavioral datas and increases unified time tag.
In an embodiment of the present invention, the behavioral data synchronization module is further configured to: it is based on Network Time Protocol,
The collected the multiple respective behavioral data of monitored object is subjected to time synchronization.
In an embodiment of the present invention, the multiple behavioral data includes video data；Wherein, the behavioral data acquisition
Module is further configured to: being identified multiple monitored object according to the video data, and is obtained each monitored object
Recognition of face information；Wherein, the behavioral data screening module is further configured to: according to the people of each monitored object
Face identification information identify the waiter that waiter in the multiple monitored object and the basis pre-establish with
The corresponding relationship of the identity identification information in each behavioral data obtains corresponding with the waiter except the view
Other the described behavioral datas of frequency outside.
In an embodiment of the present invention, the behavioral data screening module is further configured to: will be not identified as taking
The monitored object of business person is identified as customer.
In an embodiment of the present invention, the behavioral data analysis module is further configured to: judging waiter for meal
Whether the period of table service is effective service point；And when the waiter effectively services for the period of table service
When point, the behavior number of the waiter is obtained according to the behavioral data of the waiter corresponding with the effective service point
According to analysis result.
In an embodiment of the present invention, the multiple behavioral data includes video data, wherein judgement waiter's needle
It includes: to obtain waiter's distance in real time according to the video data that whether the period to table service, which is effective service point,
The distance of dining table；When the period that distance of the waiter apart from dining table is less than first threshold being greater than second threshold, judgement
Waiter is effective service point for the period of the table service.
In an embodiment of the present invention, the behavioral data screening module is further configured to: will be not identified as taking
The monitored object of business person is identified as customer；Wherein, the multiple behavioral data includes video data and audio data；Its
In, it is described judge waiter for table service period whether be effective service point include: according to the video counts factually
When obtain distance of the waiter apart from dining table；When distance of the waiter apart from dining table is less than the period of first threshold
When greater than second threshold, the audio data of the corresponding waiter of the dining table and/or the customer are obtained；To acquisition
The audio data of the waiter and/or the customer carry out semantic analysis；And when the result of semantic analysis is judged as
When meeting preset condition, judge that waiter is directed to the period of the table service as effective service point.
In an embodiment of the present invention, the first threshold is 1 meter；And/or the second threshold is 5 seconds.
In an embodiment of the present invention, the behavioral data includes order information, and wherein described device further comprises: when
When the order information corresponding to the corresponding waiter of effective service point shows that order has been paid for, stop acquisition
The behavioral data of the waiter corresponding with the effective service point.
In an embodiment of the present invention, the behavioral data includes one of following items or multiple combinations: video counts
According to, audio data, position location data and order data；Wherein, the identity identification information in the video data is
Recognition of face information, the identity identification information in the audio data are voiceprint, in the position location data
The identification is newly position positioning device number, and the identity identification information in the order data is O/No..
In an embodiment of the present invention, the waiter behavioral data analysis result include one of following items or
Multiple combinations: one of service rate index, including following items or multiple combinations: response speed is defined as from dining table
There is customer, the dining table is judged as the time consumed by effective service point to first time；It serves speed for the first time, it is fixed
Justice is to occur the consumed time of vegetable for the first time from the time to table that order is set up；Moving distance is defined as waiter
Moving distance from starting to work current point in time；Served distance, be defined as that effective service point terminates when
Between the distance that moves between time for starting to presently described effective service point；And service rate, it is defined as last effectively clothes
The time between time that the time that business point terminates starts to this effective service point；Service range index, is defined as by multiple
Range made of the movement routine link of waiter between effective service point；Attitude index, including in following items
One or more combinations: facial emotions and voice mood；And one of service revenue index, including following items or more
Kind combination: quantity on order is defined as the total number of orders with waiter binding obtained by ordering system；And order gold
Volume is defined as the order total amount with waiter binding obtained by ordering system.
According to another aspect of the present invention, one embodiment of the invention also provides a kind of electronic equipment, comprising: processor；
And memory, it is stored with computer program instructions in the memory, the computer program instructions are by the processing
Device make when running the processor execute it is preceding it is any as described in restaurant service behavioral statistics method.
According to another aspect of the present invention, one embodiment of the invention also provides a kind of computer readable storage medium, institute
It states and is stored with computer program instructions on computer readable storage medium, the computer program instructions by processor when being run
So that the processor execute it is preceding it is any as described in restaurant service behavioral statistics method.
A kind of restaurant service behavioral statistics method, apparatus provided in an embodiment of the present invention, electronic equipment and computer-readable
Storage medium can by the corresponding relationship of the identity identification information in the waiter pre-established and each behavioral data
The collected behavioral data of a variety of acquisition means will be taken to be mapped with waiter, filter out behavior number corresponding with waiter
According to, and behavioral data analysis is carried out according to the corresponding behavioral data of waiter, it is thus achieved that it is a kind of can automated execution standard
True efficient restaurant service behavioral statistics mode helps administrative staff to assess the service quality of each waiter, does with this
To fine-grained management, facilitate the service management level for significantly improving dining room and efficiency, improves Customer Experience.
Detailed description of the invention
Fig. 1 show a kind of flow chart of restaurant service behavioral statistics method of one embodiment of the invention offer.
Fig. 2 show one embodiment of the invention offer a kind of restaurant service behavioral statistics method in binding procedure it is original
Schematic diagram.
Fig. 3, which is shown in a kind of restaurant service behavioral statistics method of one embodiment of the invention offer, judges that waiter is directed to
The period of table service whether be effective service point flow diagram.
Fig. 4 show in a kind of restaurant service behavioral statistics method of one embodiment of the invention offer whether judge waiter
In face of the schematic illustration of a dining table.
Fig. 5 show another embodiment of the present invention provides a kind of restaurant service behavioral statistics method in judge waiter's needle
To period of table service whether be effective service point flow diagram.
Fig. 6 a and 6b are respectively shown in a kind of structure of the restaurant service behavioral statistics device provided for one embodiment of the invention
Schematic diagram.
Fig. 7 show the structural schematic diagram of the electronic equipment of one embodiment of the invention offer.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts
Example is applied, shall fall within the protection scope of the present invention.
In true living environment, as soon as the behavior of people is free and free, then behavioral data is obviously
Has uncertain and complexity, therefore we need by identity recognizing technology (such as recognition of face, speech recognition) and determine
Deterministic data target is uniformly processed into the behavioral data received by position technology.When the behavioral data of collection has determination
Property after, by three kinds of different technologies means collect the same waiter of behavioral data (behavior implementer) uniquely bind, by camera
Catcher's face information, when the location information that the acoustic information and positioning device of microphone acquisition obtain is unified in identical
Between in dimension, effective data analysis is carried out, and export the stronger index of ease for use and be given to administrative staff, so that administrative staff
It can accomplish accurate service management by these indexs, be that restaurant service behavioral statistics method provided by the present invention can be effective
It solves.
Fig. 1 show a kind of flow diagram of restaurant service behavioral statistics method of one embodiment of the invention offer.Such as
Shown in Fig. 1, which includes the following steps:
Step 101: acquiring multiple behavioral datas.
Specifically, behavioral data includes one of following items or multiple combinations: video data, audio data, position
Set location data and order data.It should be appreciated that the specific acquisition mode and acquisition equipment of behavioral data can be according to behavior numbers
According to specific type and adjust, the present invention is to this and without limitation.
In an embodiment of the present invention, it for the ease of the progress of subsequent behavior data screening and analytic process, needs to adopt
The behavioral data collected is unified in same time dimension.Specifically, first can be carried out collected multiple behavioral datas the time
It is synchronous, such as the time synchronization process can be completed based on Network Time Protocol (NTP)；Then multiple behavioral data is increased again
Unified time tag.For example, video information can be acquired by camera, and store it in video information storage server
On, the video information of storage has time tag；Audio-frequency information is acquired by sound pick-up, and stores it in audio-frequency information storage
On server, the audio-frequency information of storage has time tag；By GPS (Geographic mapping) device acquisition position information, and
It stores it in location information storage server, the location information of storage has time tag；It is connect by the API of ordering system
Mouthful (application programming interfaces) obtain order information, the order information of acquisition may include check-out time, the checkout amount of money, O/No. and
Lower list waiter's unique number etc..
Step 102: obtaining the identity identification information in each behavioral data.
Identity identification information in behavioral data is used to characterize the personal characteristics of monitored object.For example, behavioral data can wrap
Video data is included, the recognition of face information of monitored object can be the identity identification information in the video information in the video data
(when multiple cameras are collected into the recognition of face information of the same monitored object, it is maximum that face area in video can be used
Recognition of face information corresponding to camera is as identity identification information corresponding with the monitored object)；Behavioral data can also wrap
Audio data is included, the voiceprint of monitored object is just the identity identification information in the audio data in the audio data.Behavior
Data may also include position location data, and the identification in position location data is newly that the position positioning device of monitored object is compiled
Number.Behavioral data may also include order data, and the identity identification information in order data is the corresponding O/No. of monitored object.
Step 103: according to the corresponding relationship of the identity identification information in the waiter that pre-establishes and each behavioral data,
It is behavioral data corresponding with waiter by collected multiple behavioral data screenings.
Identity identification information in each behavioral data can establish pair between waiter by preparatory binding procedure
It should be related to, such as shown in Fig. 2, recognition of face information (face ID), voiceprint (vocal print ID), position positioning device number
(GPS-ID) and O/No. (order ID) is as the identity identification information in four kinds of behavioral datas, by advance with waiter only
One number (waiter ID) binding is got up.Video information, audio-frequency information, position location information and the order being collected into are analyzed in this way
Information parses recognition of face information, voiceprint, position positioning device number and O/No. respectively, then by recognition of face
Information, voiceprint, position positioning device number and O/No. are matched with waiter's unique number, and you can get it receives
Which waiter the behavioral data collected is belonging respectively to, and is achieved in the screening process of behavioral data.
In an embodiment of the present invention, multiple behavioral datas may include video data, can first be identified according to video data
Then multiple monitored object obtain the recognition of face information of each monitored object again.According to the recognition of face of each monitored object
Information identifies the waiter in multiple monitored object, then further according in the waiter and each behavioral data pre-established
The corresponding relationship of identity identification information obtains other behavioral datas in addition to video data corresponding with waiter.One into one
It walks in embodiment, the monitored object for being not identified as waiter can be identified as customer.It is thus achieved that the behavior of waiter
The screening of the behavioral data of data and customer facilitates row of some behavioral datas completion for waiter of later use customer
For the analysis of data.
Step 104: result is analyzed according to the behavioral data that the corresponding behavioral data of waiter obtains waiter.
In an embodiment of the present invention, it is contemplated that restaurant service mainly surrounds what dining table carried out, therefore behavioral data
Obtaining can also obtain for dining table, and the corresponding behavioral data of dining table might not be meaningful.Therefore according to waiter
When the behavioral data that corresponding behavioral data obtains waiter analyzes result, it can first judge that waiter is directed to the time of table service
Section whether be effective service point, when determine waiter for table service period be effective service point when, further according to have
The behavioral data for imitating the corresponding waiter of service point obtains the behavioral data analysis result of waiter.
In an embodiment of the present invention, the behavioral data analysis result of waiter includes one of following items or a variety of
Combination:
One of service rate index, including following items or multiple combinations: response speed is defined as going out from dining table
Customer is showed, waiter is judged as the time consumed by effective service point for the period of the table service to first time；
It serves speed for the first time, is defined as occurring the consumed time of vegetable for the first time from the time to table that order is set up；It is mobile
Distance is defined as moving distance of the waiter from starting to work current point in time；Served distance is defined as an effectively clothes
The distance moved between the time that the time that business point terminates starts to the currently active service point；And service rate, it is defined as one
The time between time that the time that secondary effective service point terminates starts to this effective service point；
Service range index is defined as the model as made of the movement routine link of waiter between multiple effective service points
It encloses；
One of attitude index, including following items or multiple combinations: facial emotions and voice mood；And
One of service revenue index, including following items or multiple combinations: quantity on order is defined as through order system
The total number of orders with waiter binding that system obtains；And the order amount of money, be defined as by ordering system obtain with the clothes
The order total amount of business person's binding.
It should be appreciated that the specific acquisition modes of behavioral data analysis result can analyze specific kind of result according to behavioral data
Class and adjust, such as facial emotions can based on video data use video identification technology supplier provide service, to service
The facial expression information of member and customer identify；Voice mood can use speech recognition technology supplier based on audio data
The service of offer carries out voice semantic analysis acquisition.The present invention analyzes the specific acquisition modes of result not to the above behavioral data
It limits.
It can be seen that a kind of restaurant service behavioral statistics method provided in an embodiment of the present invention, passes through the institute pre-established
The corresponding relationship for stating the identity identification information in waiter and each behavioral data, can will take a variety of acquisition means
Collected behavioral data is mapped with waiter, filters out behavioral data corresponding with waiter, and according to waiter couple
The behavioral data answered carries out behavioral data analysis, it is thus achieved that it is a kind of can automated execution precise and high efficiency restaurant service row
For statistical, helps administrative staff to assess the service quality of each waiter with this, accomplish fine-grained management, facilitate
The service management level and efficiency in dining room are significantly improved, Customer Experience is improved.
In an embodiment of the present invention, multiple behavioral datas of acquisition include video data, at this time as shown in figure 3, judgement
It may include following steps that whether waiter, which is effective service point for the period of table service:
Step 301: obtaining distance of the waiter apart from dining table in real time according to video data.
When only waiter is close enough apart from dining table, just illustrates that some behavioral datas of waiter are only and really taking
It is just significant to analyze these behavioral datas at this time for business behavior.Meanwhile waiter will be detained enough long-times just near dining table
Illustrate that waiter may be really to carry out service behavior, rather than pass by, thus the acquisition of this distance should be in real time into
Capable, to grasp the length of time that waiter sufficiently closes to dining table.
Step 302: when the period that distance of the waiter apart from dining table is less than first threshold being greater than second threshold, judgement
Waiter is effective service point for the period of the table service.
In an embodiment of the present invention, first threshold can be 1 meter, and second threshold can be 5 seconds.For example, can be regarded by analysis
Frequency evidence is determined when waiter faces a dining table (for example, plane and the waiter institute when waiter's facial orientation in video
Angle in position and desk is can determine whether when having inclusion relation as waiter in face of a dining table, as shown in Figure 4), apart from dining table
Edge is less than or equal to 1m, and when the recognition of face information of the monitored object around dining table can not be matched to waiter, this state is held
The continuous time is more than or equal to 5s, illustrates that service starts.When waiter leaves dining table, is greater than 1m apart from dining table, service terminates.It is taking
The behavioral data being collected into the period that business starts and service terminates is the effective behavioral data of the waiter, waiter
It is defined as an effective service point for the period of the table service, the information under an effective service point includes: clothes
Business person's unique number, the dining table unique number of service, corresponding order information, customer's face information, are received at the period of service
The behavioral data of collection.In addition when the order information corresponding to the corresponding waiter of effective service point shows that order has been paid for,
Namely about the end of service of this order, stop the behavioral data for acquiring waiter corresponding with effective service point.
In an alternative embodiment of the invention, as previously mentioned, the monitored object for being not identified as waiter can be identified as
Customer, at this time as shown in figure 5, judging that waiter for the period of table service whether be effective service point may include walking as follows
It is rapid:
Step 501: obtaining distance of the waiter apart from dining table in real time according to video data.
Step 502: when the period that distance of the waiter apart from dining table is less than first threshold being greater than second threshold, obtaining
The audio data of the corresponding waiter of the dining table and/or customer.
Step 503: the audio data of waiter and/or customer to acquisition carry out semantic analysis.
Step 504: when the result of semantic analysis, which is judged as, meets preset condition, judging waiter for the table service
Period be effective service point.
Preset condition is used to judge whether in the audio data of waiter and/or customer to include effective service content.
When the result of semantic analysis does not meet preset condition, when being unreasonable state (such as semantic obstructed up and down), then waiter
It is defined as invalid service point for the service time section of the dining table.It should be appreciated, however, that the particular content of preset condition can
It is adjusted according to actual application scenarios and the specific means of semantic analysis, the present invention does not do the particular content of the preset condition
It limits.
In an embodiment of the present invention, prior typing waiter unique number and face information can be carried out to it in systems
With the typing of voiceprint and entrained GPS information, thus typing can be passed through in the behavioral data being collected into
The relevant information of waiter, is matched and is screened.
In service scenarios, camera acquires service data, according to the synchronous time tag of time server, this number of segment
According to time tag be 207-07-09 21:20:40, video may recognize that 20 monitored object at this time, screened through overmatching,
Waiter F001/F002/F003/F004 occurs in video at this time.
The state of four waiters is analyzed as follows:
F001: facing a desk, and table edge is seated guest, but waiter has 4.5m apart from desk, filters out.
F002: facing a desk, and table edge is seated guest, and edge of the waiter apart from the desk is less than or equal to 1m,
But after 5s, which does not face the desk and distance > 1m (passing by), therefore filters out.
F003: facing a desk, and table edge is seated guest, and edge of the waiter apart from the desk is less than or equal to 1m,
This state is still lasting after 5s, and system, which thinks to service at this time, to be started, and after 30s, which is left, and service terminates, but basis
Time tag and the corresponding voiceprint of waiter's unique number analyze the voice data of matched 30s, find nothing
Effective Dialogue, then the service point is invalid service point, the data of acquisition will be analyzed not as effective behavioral data.
F004 faces a desk, and table edge is seated guest, and edge of the waiter apart from the desk is less than or equal to 1m, 5s
This state is still lasting afterwards, and system, which thinks to service at this time, to be started, and after 30s, which is left, and service terminates, and is marked according to the time
Label and the corresponding vocal print unique number of waiter's unique number the voice data of matched 30s is analyzed, have client with
The exchange of waiter, then waiter is effective service point for the period of the table service, the data of acquisition, which will be used as, to be had
The behavioral data of effect is analyzed.
The analytic process of effective service point can be as follows:
Under the time tag: 207-07-09 21:20:40 to 207-07-09 21:21:25, the service point this time occurred
Servicing first service point of this table guest for the waiter, (a upper order for the dining table is in 207-07-09 10:20:40 quilt
Payment, after this time tag, this is that occur service point for the first time) according to video analysis, this crowd of guest is 207-07-09
What 17:20:40 was seated on the seat, then the response speed of the waiter are as follows: 207-07-09 21:20:40 subtracts 207-07-09
17:20:40=240 seconds.
In first effective service point, according to the video data of collection, facial expression analysis is carried out to the waiter, is obtained
The confidence level of happy emoticon is 0.68 out, then facial emotions are scored at 68 points.
In first effective service point, according to the voice data of collection, voice Expression analysis is carried out to the waiter, is obtained
The confidence level of happy emoticon is 0.78 out, then voice mood is scored at 78 points.
Based on judgment method same as described above, 207-07-09 21:22:40 to 207-07-09 21:24:40 is generated
Second effective service point.
In 207-07-09 21:23:40, which submits the order of this table.From first effective service point to second
A effective service point, the waiter used time 75s, is analyzed according to GPS data, which moves 75m, the then service in this period
The service rate of member is 1m/s.In second effective service point, the facial emotions score 78 of the waiter is divided, and voice mood obtains
Divide 78 points.
Based on above-mentioned identical judgment method, 207-07-09 21:30:40 to 207-07-09 21:31:40 generates the
During the service point occurs, there is vegetable, therefore speed of serving for the first time according to video analysis in three effective service points on table
Are as follows: 207-07-09 21:30:40 subtracts lower single 21:23:40=420 seconds time 207-07-09.In the effective service point of third
In equally calculate facial emotions score, voice mood score, served distance, service rate.After N number of effective service point, when
Between be paid for for the order of the 207-07-09 22:31:40 table, the order amount of money is 366 yuan, then the quantity on order of the waiter
+ 1, the order amount of money+366 of the waiter.
The workaday respective services score of the waiter in this way calculates as follows:
Response speed: 200 seconds (average value of each effectively service point response speed in a working day)；
Serve speed for the first time: (each effectively service point is served being averaged of speed for the first time in a working day within 400 seconds
Value)；
Service moving distance: 2600 meters (summation of served distance in a working day)；
Service rate: 1m/s；
Moving distance: 5000m；
Service range: the movement routine of waiter between the working day corresponding all effective service points of the interior waiter
Range made of link；
Facial emotions: 75 (average values of each effectively service point facial emotions in a working day)；
Voice mood: 75 (average values of each effectively service point voice mood in a working day)；
Quantity on order: 20 (total number of orders that the waiter services in a working day)；
The order amount of money: 5000 yuan (the order total amount that the waiter services in a working day).
The indices situation of each service point and being averaged for full hotel that system can also be shown with time abscissa
Level helps dining room manager to carry out accurately orientation problem, accurately manages the service scenario of each waiter.
Fig. 6 a show a kind of structural schematic diagram of restaurant service behavioral statistics device of one embodiment of the invention offer.Such as
Shown in Fig. 6 a, which includes:
Behavioral data acquisition module 601 is configured to acquire multiple behavioral datas, and the identity obtained in each behavioral data is known
Other information；
Behavioral data screening module 602 is configured to according to the identity in the waiter and each behavioral data pre-established
Collected multiple behavioral data screenings are behavioral data corresponding with waiter by the corresponding relationship of identification information；And
Behavioral data analysis module 603 is configured to obtain the behavior number of waiter according to the corresponding behavioral data of waiter
According to analysis result.
In an embodiment of the present invention, as shown in Figure 6 b, restaurant service behavioral statistics device 60 further comprises: behavior number
According to synchronization module 604, it is configured in the corresponding relationship according to the waiter and identity identification information pre-established, it will be collected
Before multiple behavioral data screenings are behavioral data corresponding with waiter, it is same that collected multiple behavioral datas are subjected to the time
Step, and increase unified time tag for multiple behavioral datas.
In an embodiment of the present invention, behavioral data synchronization module 604 is further configured to: it is based on Network Time Protocol,
Collected multiple respective behavioral datas of monitored object are subjected to time synchronization.
In an embodiment of the present invention, multiple behavioral datas include video data；Wherein, behavioral data acquisition module 601
It is further configured to: multiple monitored object is identified according to video data, and obtain the recognition of face letter of each monitored object
Breath；Wherein, behavioral data screening module 602 is further configured to: being identified according to the recognition of face information of each monitored object
Waiter in multiple monitored object, and according to the identity identification information in the waiter and each behavioral data pre-established
Corresponding relationship, obtain corresponding with waiter other behavioral datas in addition to video data.
In an embodiment of the present invention, behavioral data screening module 602 is further configured to: will be not identified as servicing
The monitored object of member is identified as customer.
In an embodiment of the present invention, behavioral data analysis module 603 is further configured to: judging waiter for dining table
Whether the period of service is effective service point；And when waiter is effective service point for the period of table service,
Result is analyzed according to the behavioral data that the behavioral data of waiter corresponding with effective service point obtains waiter.
In an embodiment of the present invention, multiple behavioral datas include video data, wherein judge that waiter takes for dining table
It includes: to obtain distance of the waiter apart from dining table in real time according to video data that whether the period of business, which is effective service point,；Work as clothes
When the period that distance of the business person apart from dining table is less than first threshold is greater than second threshold, judge waiter for the table service
Period be effective service point.
In an embodiment of the present invention, behavioral data screening module 602 is further configured to: will be not identified as servicing
The monitored object of member is identified as customer；Wherein, multiple behavioral datas include video data and audio data；Wherein, judge to service
It includes: to obtain waiter in real time according to video data apart from dining table that whether member, which is effective service point for the period of table service,
Distance；When the period that distance of the waiter apart from dining table is less than first threshold being greater than second threshold, the dining table pair is obtained
The audio data of the waiter and/or customer that answer；The audio data of waiter and/or customer to acquisition carry out semantic analysis；
And when the result of semantic analysis is judged as and meets preset condition, judge that waiter is directed to the period of the table service to have
Imitate service point.
In an embodiment of the present invention, first threshold is 1 meter；And/or second threshold is 5 seconds.
In an embodiment of the present invention, behavioral data includes order information, and wherein device further comprises: when effective service
When order information corresponding to the corresponding waiter of point shows that order has been paid for, stop acquiring clothes corresponding with effective service point
The behavioral data of business person.
In an embodiment of the present invention, behavioral data includes one of following items or multiple combinations: video data, sound
Frequency evidence, position location data and order data；Wherein, the identity identification information in video data is face identification information,
Identity identification information in audio data is voiceprint, and the identification in position location data is newly that position positioning device is compiled
Number, the identity identification information in order data is O/No..
In an embodiment of the present invention, the behavioral data analysis result of waiter includes one of following items or a variety of
Combination: one of service rate index, including following items or multiple combinations: response speed is defined as occurring from dining table
Waiter is judged as the time consumed by effective service point for the period of the table service to first time by customer；The
Primary speed of serving is defined as occurring the consumed time of vegetable for the first time from the time to table that order is set up；It is mobile away from
From, be defined as waiter from start to work to current point in time moving distance；Served distance is defined as an effectively service
The distance moved between the time that the time that point terminates starts to the currently active service point；And service rate, it is defined as the last time
The time between time that the time that effective service point terminates starts to this effective service point；Service range index, is defined as
The range as made of the movement routine link of waiter between multiple effective service points；Attitude index, including following items
One of or multiple combinations: facial emotions and voice mood；And one of service revenue index, including following items or
Multiple combinations: quantity on order is defined as the total number of orders with waiter binding obtained by ordering system；And order gold
Volume is defined as the order total amount with waiter binding obtained by ordering system.
It can be seen that a kind of restaurant service behavioral statistics device 60 provided in an embodiment of the present invention, passes through what is pre-established
The corresponding relationship of the waiter and the identity identification information in each behavioral data, can will take a variety of acquisition hands
The collected behavioral data of section is mapped with waiter, filters out behavioral data corresponding with waiter, and according to waiter
Corresponding behavioral data carries out behavioral data analysis, it is thus achieved that it is a kind of can automated execution precise and high efficiency restaurant service
Behavioral statistics mode helps administrative staff to assess the service quality of each waiter, accomplishes fine-grained management, help with this
In the service management level and efficiency that significantly improve dining room, improve Customer Experience.
The concrete function of modules in above-mentioned restaurant service behavioral statistics device 60 and operation have been described above reference
It is described in detail in the restaurant service behavioral statistics method of Fig. 1 to Fig. 5 description, therefore, thereof will be omitted its repeated descriptions.
It should be noted that the restaurant service behavioral statistics device 60 according to the embodiment of the present application can be used as a software
Module and/or hardware module and be integrated into electronic equipment 70, in other words, which may include the restaurant service row
For statistic device 60.For example, the restaurant service behavioral statistics device 60 can be one in the operating system of the electronic equipment 70
A software module, or can be and be directed to its application program developed；Certainly, the restaurant service behavioral statistics device
60 equally can be one of numerous hardware modules of the electronic equipment 70.
In an alternative embodiment of the invention, the restaurant service behavioral statistics device 60 and the electronic equipment 70 are also possible to point
Vertical equipment (for example, server), and the restaurant service behavioral statistics device 60 can be connected by wired and or wireless network
It is connected to the electronic equipment 70, and transmits interactive information according to the data format of agreement.
Fig. 7 show the structural schematic diagram of the electronic equipment of one embodiment of the invention offer.As shown in fig. 7, the electronics is set
Standby 70 include: one or more processors 701 and memory 702；And the computer program being stored in memory 702 refers to
It enables, computer program instructions make processor 701 execute the dining room clothes such as above-mentioned any embodiment when being run by processor 701
Behavioral statistics method of being engaged in or the video object matching process.
Processor 701 can be central processing unit (CPU) or have data-handling capacity and/or instruction execution capability
Other forms processing unit, and can control the other assemblies in electronic equipment to execute desired function.
Memory 702 may include one or more computer program products, and the computer program product may include
Various forms of computer readable storage mediums, such as volatile memory and/or nonvolatile memory.The volatibility is deposited
Reservoir for example may include random access memory (RAM) and/or cache memory (cache) etc..It is described non-volatile
Memory for example may include read-only memory (ROM), hard disk, flash memory etc..It can be on the computer readable storage medium
One or more computer program instructions are stored, processor 701 can run described program instruction, to realize sheet described above
Step and/or other desired functions in the mechanical mechanism controls method of each embodiment of application.In the calculating
The information such as the position of light intensity, compensation luminous intensity, optical filter can also be stored in machine readable storage medium storing program for executing.
In one example, electronic equipment 70 can also include: input unit 703 and output device 704, these components are logical
Cross bindiny mechanism's (being not shown in Fig. 7) interconnection of bus system and/or other forms.
The output device 704 can be output to the outside various information, such as may include such as display, loudspeaker, beat
Print machine and communication network and its remote output devices connected etc..
Certainly, to put it more simply, illustrated only in Fig. 7 it is some in component related with the application in the electronic equipment 70,
The components such as bus, input unit/output interface are omitted.In addition to this, according to concrete application situation, electronic equipment 70 is also
It may include any other component appropriate.
Other than the above method and equipment, embodiments herein can also be computer program product, including calculate
Machine program instruction, computer program instructions make processor execute the dining room such as above-mentioned any embodiment when being run by processor
Step in service behavior statistical method or the video object matching process.
Computer program product can be write with any combination of one or more programming languages for executing sheet
Apply for the program code of embodiment operation, described program design language includes object oriented program language, such as Java,
C++ etc. further includes conventional procedural programming language, such as " C " language or similar programming language.Program code
It can fully execute on the user computing device, partly execute, held as an independent software package on a user device
Part executes on a remote computing or completely in remote computing device or service on the user computing device for row, part
It is executed on device.
In addition, embodiments herein can also be computer readable storage medium, it is stored thereon with computer program and refers to
It enables, the computer program instructions make the processor execute above-mentioned " the exemplary machine of this specification when being run by processor
According to the step in the mechanical mechanism controls method of the various embodiments of the application described in tool mechanism control method " part.
The computer readable storage medium can be using any combination of one or more readable mediums.Readable medium can
To be readable signal medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can include but is not limited to electricity, magnetic, light, electricity
Magnetic, the system of infrared ray or semiconductor, device or device, or any above combination.Readable storage medium storing program for executing it is more specific
Example (non exhaustive list) includes: the electrical connection with one or more conducting wires, portable disc, hard disk, random access memory
Device ((RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, Portable, compact
Disk read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
The basic principle of the application is described in conjunction with specific embodiments above, however, it is desirable to, it is noted that in this application
The advantages of referring to, advantage, effect etc. are only exemplary rather than limitation, must not believe that these advantages, advantage, effect etc. are the application
Each embodiment is prerequisite.In addition, detail disclosed above is merely to exemplary effect and the work being easy to understand
With, rather than limit, it is that must be realized using above-mentioned concrete details that above-mentioned details, which is not intended to limit the application,.
Device involved in the application, device, equipment, system block diagram only as illustrative example and be not intended to
It is required that or hint must be attached in such a way that box illustrates, arrange, configure.As those skilled in the art will appreciate that
, it can be connected by any way, arrange, configure these devices, device, equipment, system.Such as "include", "comprise", " tool
" etc. word be open vocabulary, refer to " including but not limited to ", and can be used interchangeably with it.Vocabulary used herein above
"or" and "and" refer to vocabulary "and/or", and can be used interchangeably with it, unless it is not such that context, which is explicitly indicated,.Here made
Vocabulary " such as " refers to phrase " such as, but not limited to ", and can be used interchangeably with it.
It may also be noted that each component or each step are can to decompose in the device of the application, device and method
And/or reconfigure.These decompose and/or reconfigure the equivalent scheme that should be regarded as the application.
The above description of disclosed aspect is provided so that any person skilled in the art can make or use this
Application.Various modifications in terms of these are readily apparent to those skilled in the art, and are defined herein
General Principle can be applied to other aspect without departing from scope of the present application.Therefore, the application is not intended to be limited to
Aspect shown in this, but according to principle disclosed herein and the consistent widest range of novel feature.
In order to which purpose of illustration and description has been presented for above description.In addition, this description is not intended to the reality of the application
It applies example and is restricted to form disclosed herein.Although already discussed above multiple exemplary aspects and embodiment, this field skill
Its certain modifications, modification, change, addition and sub-portfolio will be recognized in art personnel.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, made any modification, equivalent replacement etc. be should all be included in the protection scope of the present invention.
Claims (15)
1. a kind of restaurant service behavioral statistics method characterized by comprising
Acquire multiple behavioral datas；
Obtain the identity identification information in each behavioral data；
According to the corresponding relationship of the identity identification information in the waiter that pre-establishes and each behavioral data,
It is behavioral data corresponding with the waiter by collected multiple behavioral data screenings；And
Result is analyzed according to the behavioral data that the corresponding behavioral data of the waiter obtains the waiter.
2. the method according to claim 1, wherein according to the waiter and the identity pre-established
The corresponding relationship of identification information, by collected multiple behavioral datas screening be behavioral data corresponding with the waiter it
Before, further comprise:
Collected the multiple behavioral data is subjected to time synchronization；And
Increase unified time tag for the multiple behavioral data.
3. according to the method described in claim 2, it is characterized in that, it is described by collected the multiple behavioral data carry out when
Between synchronize and include:
Based on Network Time Protocol, the collected the multiple respective behavioral data of monitored object is subjected to time synchronization.
4. the method according to claim 1, wherein the multiple behavioral data includes video data；
Wherein, the identity identification information obtained in each behavioral data includes:
Multiple monitored object are identified according to the video data；And
Obtain the recognition of face information of each monitored object；
Wherein, the waiter that the basis pre-establishes and the identity identification information in each behavioral data
Collected multiple behavioral data screenings are that behavioral data corresponding with the waiter includes: by corresponding relationship
The waiter in the multiple monitored object is identified according to the recognition of face information of each monitored object；And
The waiter that the basis pre-establishes is corresponding with the identity identification information in each behavioral data
Relationship obtains other described behavioral datas in addition to the video data corresponding with the waiter.
5. according to the method described in claim 4, it is characterized in that, further comprising:
The monitored object for being not identified as waiter is identified as customer.
6. according to the method described in claim 4, it is characterized in that, described according to the corresponding behavioral data of the waiter
The behavioral data for obtaining the waiter analyzes result and includes:
Whether the period for judging that waiter is directed to table service is effective service point；And
When the waiter is effective service point for the period of table service, according to corresponding with effective service point
The behavioral data of the waiter obtains the behavioral data analysis result of the waiter.
7. according to the method described in claim 6, it is characterized in that, the multiple behavioral data includes video data, wherein institute
State whether the period for judging that waiter is directed to table service is that effective service point includes:
Distance of the waiter apart from dining table is obtained in real time according to the video data；
When the period that distance of the waiter apart from dining table is less than first threshold being greater than second threshold, waiter's needle is judged
Period to the table service is effective service point.
8. according to the method described in claim 6, it is characterized in that, further comprising:
The monitored object for being not identified as waiter is identified as customer；
Wherein, the multiple behavioral data includes video data and audio data；
Wherein, whether the period for judging that waiter is directed to table service is that effective service point includes:
Distance of the waiter apart from dining table is obtained in real time according to the video data；
When the period that distance of the waiter apart from dining table is less than first threshold being greater than second threshold, the dining table pair is obtained
The audio data of the waiter and/or the customer that answer；
The audio data of the waiter and/or the customer to acquisition carry out semantic analysis；And
When the result of semantic analysis, which is judged as, meets preset condition, judge that waiter is directed to the period of the table service as institute
State effective service point.
9. method according to claim 7 or 8, which is characterized in that the first threshold is 1 meter；And/or described second
Threshold value is 5 seconds.
10. according to the method described in claim 6, it is characterized in that, the behavioral data includes order information, wherein the side
Method further comprises:
When the order information corresponding to the corresponding waiter of the effective service point shows that order has been paid for, stop
Only acquire the behavioral data of the waiter corresponding with the effective service point.
11. the method according to claim 1, wherein the behavioral data include one of following items or
Multiple combinations: video data, audio data, position location data and order data；
Wherein, the identity identification information in the video data is face identification information, described in the audio data
Identity identification information is voiceprint, and the identification in the position location data is newly position positioning device number,
The identity identification information in the order data is O/No..
12. the method according to claim 1, wherein the waiter behavioral data analysis result include with
Under one of several or multiple combinations:
One of service rate index, including following items or multiple combinations: response speed is defined as occurring from dining table
The dining table is judged as the time consumed by effective service point to first time by customer；Serve speed for the first time, be defined as from
Occurs the consumed time of vegetable for the first time on the time to table that order is set up；Moving distance is defined as waiter from the beginning of
It works to the moving distance of current point in time；Served distance is defined as time that effective service point terminates to working as
The distance moved between the time that preceding effective service point starts；And service rate, it is defined as last effectively service point knot
The time between time that the time of beam starts to this effective service point；
Service range index is defined as the range as made of the movement routine link of waiter between multiple effective service points
Figure
One of attitude index, including following items or multiple combinations: facial emotions and voice mood；And
One of service revenue index, including following items or multiple combinations: quantity on order is defined as obtaining by ordering system
The total number of orders with waiter binding taken；And the order amount of money, be defined as by ordering system obtain with the waiter
The order total amount of binding.
13. a kind of restaurant service behavioral statistics device characterized by comprising
Behavioral data acquisition module is configured to acquire multiple behavioral datas, obtains the identification in each behavioral data
Information；
Behavioral data screening module, be configured to according to the waiter that pre-establishes with it is described in each behavioral data
Collected multiple behavioral data screenings are behavior number corresponding with the waiter by the corresponding relationship of identity identification information
According to；And
Behavioral data analysis module is configured to obtain the row of the waiter according to the corresponding behavioral data of the waiter
For data analysis result.
14. a kind of electronic equipment, comprising:
Processor；And
Memory is stored with computer program instructions in the memory, and the computer program instructions are by the processing
Device makes the processor execute the method as described in any in claim 1 to 8 and 10 to 12 when running.
15. a kind of computer readable storage medium, computer program instructions are stored on the computer readable storage medium, institute
Stating computer program instructions executes the processor as described in any in claim 1 to 12
Method.
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Application publication date: 20190416 |