CN107463915A - A kind of restaurant's concocting method based on image recognition - Google Patents

A kind of restaurant's concocting method based on image recognition Download PDF

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Publication number
CN107463915A
CN107463915A CN201710687550.9A CN201710687550A CN107463915A CN 107463915 A CN107463915 A CN 107463915A CN 201710687550 A CN201710687550 A CN 201710687550A CN 107463915 A CN107463915 A CN 107463915A
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China
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customer
dining table
dish
restaurant
irritated
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CN107463915B (en
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不公告发明人
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Jiaxing Wuzhen Hanjia Technology Co., Ltd
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Wuxi Beidou Xingtong Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/12Hotels or restaurants
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/62Text, e.g. of license plates, overlay texts or captions on TV images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition

Abstract

The present invention relates to a kind of restaurant's concocting method based on image recognition,Method including the use of restaurant's mixing system based on image recognition with customer occur irritated state when automatically in advance where customer in dining table institute menu each dish dish delivery order,System includes high-definition image capture device,Character memory device,Customer's identification equipment,Dining table data acquisition equipment and rear kitchen control device,High-definition image capture device is used to carry out image capture to the scene in restaurant to obtain high definition restaurant image,Character memory device is used to prestore customer's resemblance,Customer's identification equipment is used for customer's target that high definition restaurant image is determined based on customer's resemblance,Determine that the dining table belonging to customer's target is numbered in the position of high definition restaurant image also based on customer's target,Dining table data acquisition equipment is used to gather each dining table institute menu in restaurant,Kitchen control device is used for the dish delivery order that each dish in the affiliated dining table institute menu of customer's target is determined based on each dining table institute menu afterwards.

Description

A kind of restaurant's concocting method based on image recognition
Technical field
The present invention relates to field of image recognition, more particularly to a kind of restaurant's concocting method based on image recognition.
Background technology
Restaurant's species is various, and the cheap eating of lunch is provided by aiming at neighbouring working clan, to the formal of offer good wine and dainty dishes Dining room, it is complete.According to the style in dining room, the clothing of customer is also had nothing in common with each other by light dress ornament to dress-up apparel.
It can be divided into Types Below according to restaurant's scale difference:
1st, super-huge restaurant:Refer to management place usable floor area in 3000 more than ㎡ (being free of 3000 ㎡), or seat of having dinner The restaurant that digit (is free of 1000) more than 1000.
2nd, large-scale restaurant:Refer to management place usable floor area 500~3000 ㎡ (500 ㎡ being free of, containing 3000 ㎡), or Seating capacity have dinner in the restaurant of 250~1000 (250 being free of, containing 1000).
3rd, medium-sized restaurant:Refer to management place usable floor area 150~500 ㎡ (150 ㎡ being free of, containing 500 ㎡), or just Seating capacity is eaten in the restaurant of 75~250 (75 being free of, containing 250).
4th, small-sized restaurant:Refer to that management place usable floor area exists in 150 below ㎡ (containing 150 ㎡), or seating capacity of having dinner The restaurant for (containing 75) below below 75 people.
For the people that selection goes to restaurant to have dinner, the stand-by period after ordering dishes is to influence its key to restaurant ratings One of key element, therefore, hotel management person shortens as far as possible allows time of customer's sky etc., or even uses some measures, such as using Use a sand filter for marking the hours, time-out such as food is upper neat yet, then using discount, give drink in addition exempt from it is single by the way of eliminate the discontented of customer Mood.
However, because the psychological condition of customer is different and it is expected different that oneself is ordered dishes, customer produces discontented mood Stand-by period threshold value be indefinite, some customers may not wait 10 minutes, and some customers can tolerate more than half an hour. Lack in the prior art for customer's mood in restaurant and carry out the related mechanism of dish delivery order adjustment.
The content of the invention
In order to solve the above problems, the invention provides a kind of restaurant's concocting method based on image recognition, by high-precision Image recognition technology and the default irritated degree table of comparisons are spent, customer's target in restaurant is identified, the posture to customer's target The irritated degree of customer is identified and judges based on customer's posture, and in the case where excessively agitation occurs in customer, by its institute The dish delivery for the vegetable selected sequentially is finely adjusted, preferential on the basis of justice is ensured to carry out dish delivery, so that in the dish delivery stage with regard to energy Enough irritated problems for pointedly solving customer.
According to an aspect of the present invention, there is provided a kind of restaurant's concocting method based on image recognition, methods described include Using restaurant's mixing system based on image recognition with customer occur irritated state when automatically shift to an earlier date dining table where the customer The dish delivery order of each dish in institute's menu, restaurant's mixing system based on image recognition include high-definition image capture and set Standby, character memory device, customer's identification equipment, dining table data acquisition equipment and rear kitchen control device, high-definition image capture device For carrying out image capture to the scene in restaurant to obtain high definition restaurant image, character memory device is used to prestore customer Resemblance, customer's identification equipment is connected with high-definition image capture device and character memory device respectively, outside based on customer Shape feature determines customer's target of high definition restaurant image, also determines customer's mesh in the position of high definition restaurant image based on customer's target Dining table numbering belonging to mark, dining table data acquisition equipment are used to gather each dining table institute menu in restaurant, rear kitchen control device It is connected respectively with customer's identification equipment and dining table data acquisition equipment, for determining customer's target based on each dining table institute menu The dish delivery order of each dish in affiliated dining table institute menu.
More specifically, in restaurant's mixing system based on image recognition, the system also includes:
Kitchen alert device afterwards, it is connected with rear kitchen control device, it is each in the affiliated dining table institute menu of customer's target for receiving The dish delivery order of individual dish, and when reaching the dish delivery order of each dish in the affiliated dining table institute menu of customer's target, send prompting Signal is to remind cook to carry out corresponding dish delivery operation;
Wherein, rear kitchen alert device does not reach the dish delivery order of any dish in the affiliated dining table institute menu of customer's target When, send alerting signal and operated with reminding cook to carry out the dish delivery of other dining tables.
More specifically, in restaurant's mixing system based on image recognition:
Kitchen alert device includes display device and audio-frequence player device afterwards, and audio-frequence player device is loudspeaker or speech play One kind in chip.
More specifically, in restaurant's mixing system based on image recognition, the system also includes:
Customer status detection device, it is connected respectively with character memory device and customer's identification equipment, outside based on customer Shape feature determines subgraph where customer's target of high definition restaurant image using as customer's subgraph, by customer's subgraph with it is tired Each customer's posture pattern in the hot-tempered degree table of comparisons is matched one by one, and by matching degree highest customer's posture pattern in agitation Corresponding customer's agitation degree in the table of comparisons is spent to export as target agitation degree;
Adaptive-filtering equipment, it is arranged between high-definition image capture device and customer's identification equipment, for receiving high definition Restaurant's image, interference signal type analysis is carried out to high definition restaurant image, determined based on the multiple interference signal types analyzed Each wave filter corresponding to respectively, it is right successively using amplitude size order of each wave filter corresponding to difference based on interference signal High definition restaurant image carries out corresponding each filtering process, and the image obtained after filtering process is replaced into the image input of high definition restaurant To customer's identification equipment;
Dish delivery difficulty analytical equipment, it is connected with the dining table data acquisition equipment, for receiving each meal in restaurant After table institute menu, the difficulty based on dish, dish amount and required type of raw materials quantity are ordered dishes to each dining table in restaurant Each dish sets significance level in list, wherein, dish is more difficult to do, and corresponding significance level is higher, and dish amount is smaller, corresponding important Degree is lower, and the type of raw materials that dish needs is more, and corresponding significance level is higher;
The character memory device has also prestored the irritated degree table of comparisons, and the irritated degree table of comparisons saves irritated with customer Spend each customer's posture pattern for index;
Kitchen control device is also connected with dish delivery difficulty analytical equipment and customer status detection device respectively after described, for Receive in the restaurant that dining table data acquisition equipment is gathered after each dining table institute menu, based on each dining table institute menu The significance level of interior each dish, the dish delivery order of each dish in each dining table institute menu is arranged, and receiving target agitation Degree be more than or equal to preset irritated degree threshold value when, it is determined that belonging to customer's target corresponding with target agitation degree dining table numbering using as Irritated dining table numbering, the significance level that irritated dining table is numbered to each dish in corresponding dining table institute menu upgrade;
Wherein, the rear kitchen control device is numbering irritated dining table the weight of each dish in corresponding dining table institute menu After wanting degree upgrading, the significance level again based on each dish in each dining table institute menu, each dining table is arranged to be ordered dishes The dish delivery order of each dish in list;
Wherein, adaptive-filtering equipment is using amplitude size order of each wave filter based on interference signal corresponding to difference Carrying out corresponding each filtering process to high definition restaurant image successively includes:The amplitude of interference signal is bigger, to high definition restaurant figure As the order for carrying out corresponding filtering process is more forward;
Wherein, kitchen control device numbers irritated dining table the important of each dish in corresponding dining table institute menu after described Degree upgrading includes:Based on the grade of target agitation degree corresponding to irritated dining table numbering, it is determined that to corresponding to irritated dining table numbering Dining table institute menu in each dish the amplitude that is upgraded of significance level, target agitation degree corresponding to irritated dining table numbering Higher grade, and the amplitude upgraded accordingly is bigger.
More specifically, in restaurant's mixing system based on image recognition:
When kitchen control device receives the irritated dining table numbering of identical numbering at the same time after described, based on receiving identical numbering Irritated dining table numbering quantity lifting the irritated dining table for receiving identical numbering is numbered corresponding to it is each in dining table institute menu The upgrading amplitude of the significance level of dish;
Wherein, it is more to receive the quantity of the irritated dining table numbering of identical numbering, the irritated dining table for receiving identical numbering is compiled The upgrading amplitude of the significance level of each dish is bigger in dining table institute menu corresponding to number.
More specifically, in restaurant's mixing system based on image recognition, the system also includes:LCD Plate, it is connected with the rear kitchen control device, the dish delivery for receiving simultaneously each dish in each dining table institute menu of real-time display is suitable Sequence.
More specifically, in restaurant's mixing system based on image recognition:High-definition image capture device is spherical complete Scape capture device, including ambient light sensor, optical filter, camera lens, lens bracket and spherical panorama high-definition camera.
More specifically, in restaurant's mixing system based on image recognition:The character memory device stores for MMC Card, its customer's resemblance prestored include customer's upper limit gray threshold and customer's lower limit gray threshold, customer's upper limit ash All between 0-255, customer's upper limit gray threshold is more than customer's lower limit for degree threshold value and the span of customer's lower limit gray threshold Gray threshold.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein:
Fig. 1 is the block diagram of restaurant's mixing system based on image recognition according to embodiment of the present invention.
Reference:1 high-definition image capture device;2 character memory devices;3 customer's identification equipments;4 dining table data acquisitions Equipment;Kitchen control device after 5
Embodiment
The embodiment of restaurant's mixing system based on image recognition of the present invention is carried out in detail below with reference to accompanying drawings Explanation.
Restaurant, restaurant, restaurant or restaurant are called, are the place for allowing customer to buy and enjoy cooked food and beverage. The word of restaurant one covers in different location and provided the diet place of different cuisines.
Accommodated sometimes to customer mainly to supply based on traveller and local resident's dish and service in restaurant Extra-service.Restaurant can be divided into not according to the difference of Main Management project (including Chinese meal, western-style food, day meal, Korea Spro's meal etc.) The restaurant of same type, including chafing dish restaurant, barbecue etc..
Currently, the order of cooking in restaurant typically uses following pattern:Each vegetable of having order on all dining tables is placed on one Rise, vegetable has been order to each based on order time order or customer's significance level and has been ranked up, but this sortord does not have There is the irritated degree for considering customer, particularly in the case of because of the times that are different and forming agitation of customer also difference.
In order to overcome above-mentioned deficiency, the present invention has built a kind of restaurant's concocting method based on image recognition, methods described Including the use of restaurant's mixing system based on image recognition with customer occur irritated state when automatically shift to an earlier date the customer where The dish delivery order of each dish in dining table institute menu.Restaurant's mixing system based on image recognition by way of image recognition, The mood of each customer in restaurant is detected, so as to be determined using the irritated degree of customer as an influence factor Each, which has been order, cooks order on vegetable, improve the good opinion degree in the restaurant of customer.
Fig. 1 is the block diagram of restaurant's mixing system based on image recognition according to embodiment of the present invention, The system includes high-definition image capture device, character memory device, customer's identification equipment, dining table data acquisition equipment and rear kitchen Control device, high-definition image capture device is used to carry out image capture to the scene in restaurant to obtain high definition restaurant image, special Sign storage device is used to prestore customer's resemblance;
Customer's identification equipment is connected with high-definition image capture device and character memory device respectively, for based on customer's profile Feature determines customer's target of high definition restaurant image, also determines customer's target in the position of high definition restaurant image based on customer's target Affiliated dining table numbering, dining table data acquisition equipment are used to gather each dining table institute menu in restaurant;
Kitchen control device is connected with customer's identification equipment and dining table data acquisition equipment respectively afterwards, for based on each dining table Institute's menu determines the dish delivery order of each dish in the affiliated dining table institute menu of customer's target.
Then, continue to carry out further the concrete structure of restaurant's mixing system based on image recognition of the present invention It is bright.
It can also include in restaurant's mixing system based on image recognition:
Kitchen alert device afterwards, it is connected with rear kitchen control device, it is each in the affiliated dining table institute menu of customer's target for receiving The dish delivery order of individual dish, and when reaching the dish delivery order of each dish in the affiliated dining table institute menu of customer's target, send prompting Signal is to remind cook to carry out corresponding dish delivery operation;
Wherein, rear kitchen alert device does not reach the dish delivery order of any dish in the affiliated dining table institute menu of customer's target When, send alerting signal and operated with reminding cook to carry out the dish delivery of other dining tables.
In restaurant's mixing system based on image recognition:Kitchen alert device includes display device afterwards and audio plays Equipment, audio-frequence player device are one kind in loudspeaker or speech play chip.
It can also include in restaurant's mixing system based on image recognition:
Customer status detection device, it is connected respectively with character memory device and customer's identification equipment, outside based on customer Shape feature determines subgraph where customer's target of high definition restaurant image using as customer's subgraph, by customer's subgraph with it is tired Each customer's posture pattern in the hot-tempered degree table of comparisons is matched one by one, and by matching degree highest customer's posture pattern in agitation Corresponding customer's agitation degree in the table of comparisons is spent to export as target agitation degree;
Adaptive-filtering equipment, it is arranged between high-definition image capture device and customer's identification equipment, for receiving high definition Restaurant's image, interference signal type analysis is carried out to high definition restaurant image, determined based on the multiple interference signal types analyzed Each wave filter corresponding to respectively, it is right successively using amplitude size order of each wave filter corresponding to difference based on interference signal High definition restaurant image carries out corresponding each filtering process, and the image obtained after filtering process is replaced into the image input of high definition restaurant To customer's identification equipment;
Dish delivery difficulty analytical equipment, it is connected with the dining table data acquisition equipment, for receiving each meal in restaurant After table institute menu, the difficulty based on dish, dish amount and required type of raw materials quantity are ordered dishes to each dining table in restaurant Each dish sets significance level in list, wherein, dish is more difficult to do, and corresponding significance level is higher, and dish amount is smaller, corresponding important Degree is lower, and the type of raw materials that dish needs is more, and corresponding significance level is higher;
The character memory device has also prestored the irritated degree table of comparisons, and the irritated degree table of comparisons saves irritated with customer Spend each customer's posture pattern for index;
Kitchen control device is also connected with dish delivery difficulty analytical equipment and customer status detection device respectively after described, for Receive in the restaurant that dining table data acquisition equipment is gathered after each dining table institute menu, based on each dining table institute menu The significance level of interior each dish, the dish delivery order of each dish in each dining table institute menu is arranged, and receiving target agitation Degree be more than or equal to preset irritated degree threshold value when, it is determined that belonging to customer's target corresponding with target agitation degree dining table numbering using as Irritated dining table numbering, the significance level that irritated dining table is numbered to each dish in corresponding dining table institute menu upgrade;
Wherein, the rear kitchen control device is numbering irritated dining table the weight of each dish in corresponding dining table institute menu After wanting degree upgrading, the significance level again based on each dish in each dining table institute menu, each dining table is arranged to be ordered dishes The dish delivery order of each dish in list;
Wherein, adaptive-filtering equipment is using amplitude size order of each wave filter based on interference signal corresponding to difference Carrying out corresponding each filtering process to high definition restaurant image successively includes:The amplitude of interference signal is bigger, to high definition restaurant figure As the order for carrying out corresponding filtering process is more forward;
Wherein, kitchen control device numbers irritated dining table the important of each dish in corresponding dining table institute menu after described Degree upgrading includes:Based on the grade of target agitation degree corresponding to irritated dining table numbering, it is determined that to corresponding to irritated dining table numbering Dining table institute menu in each dish the amplitude that is upgraded of significance level, target agitation degree corresponding to irritated dining table numbering Higher grade, and the amplitude upgraded accordingly is bigger.
In restaurant's mixing system based on image recognition:
When kitchen control device receives the irritated dining table numbering of identical numbering at the same time after described, based on receiving identical numbering Irritated dining table numbering quantity lifting the irritated dining table for receiving identical numbering is numbered corresponding to it is each in dining table institute menu The upgrading amplitude of the significance level of dish;
Wherein, it is more to receive the quantity of the irritated dining table numbering of identical numbering, the irritated dining table for receiving identical numbering is compiled The upgrading amplitude of the significance level of each dish is bigger in dining table institute menu corresponding to number.
It can also include in restaurant's mixing system based on image recognition:Liquid crystal display panel, controlled with the rear kitchen Control equipment connects, for receiving the dish delivery order of simultaneously each dish in each dining table institute menu of real-time display.
In restaurant's mixing system based on image recognition:High-definition image capture device is that spherical panorama capture is set It is standby, including ambient light sensor, optical filter, camera lens, lens bracket and spherical panorama high-definition camera.
In restaurant's mixing system based on image recognition:The character memory device is MMC storage cards, and its is advance Customer's resemblance of storage includes customer's upper limit gray threshold and customer's lower limit gray threshold, customer's upper limit gray threshold and Gu For the span of objective lower limit gray threshold all between 0-255, customer's upper limit gray threshold is more than customer's lower limit gray threshold.
In addition, image filtering, i.e., press down under conditions of image detail feature is retained as far as possible to the noise of target image System, is indispensable operation in image preprocessing, and the quality of its treatment effect will directly influence successive image processing and divide The validity and reliability of analysis.
Due to the imperfection of imaging system, transmission medium and recording equipment etc., digital picture is in its formation, transmission log mistake Often polluted in journey by a variety of noises.Moreover, some links in image procossing when the picture object inputted and are not so good as pre- Also noise can be introduced when thinking in result images.These noises often show as one on image and cause the isolated of stronger visual effect Pixel or block of pixels.Typically, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure The observable information of picture.For data image signal, psophometer is either large or small extreme value, and these extreme values are acted on by plus-minus On the true gray value of image pixel, the interference of bright, dim spot is caused to image, greatly reduces picture quality, influence image restoration, The progress of the follow-up work such as segmentation, feature extraction, image recognition.A kind of wave filter for effectively suppressing noise is constructed to must take into consideration Two basic problems:The noise in target and background can effectively be removed;Meanwhile can protect well image object shape, Size and specific geometry and topological features.
One kind in conventional image filtering pattern is nonlinear filter, it is, in general, that when signal spectrum and noise frequency Such as the noise as caused by mission nonlinear or non-gaussian be present and make an uproar when composing aliasing or when containing nonadditivity noise in signal Sound etc., traditional linear filter technology, such as Fourier conversion, while noise is filtered out, always blurred picture is thin in some way Section, such as edge, and then cause as the positioning precision of linear character and the extraction property of feature reduce.And nonlinear filter is Based on a kind of Nonlinear Mapping relation to input signal, often a certain specific noise approx can be mapped as zero and retained Signal wants feature, thus it can overcome the weak point of linear filter to a certain extent.
Using restaurant's mixing system based on image recognition of the present invention, for arranging dish delivery suitable in restaurant in the prior art The technical problem of customer's agitation degree factor can not be considered during sequence, by the restaurant for receiving dining table data acquisition equipment and being gathered After interior each dining table institute menu, based on the significance level of each dish in each dining table institute menu, each dining table institute is arranged The dish delivery order of each dish in menu, and when the irritated degree for receiving customer is more than or equal to and presets irritated degree threshold value, it is determined that Dining table belonging to customer's target corresponding with irritated degree is numbered to be numbered as irritated dining table, irritated dining table numbering is corresponding The significance level upgrading of each dish in dining table institute menu, so as to solve above-mentioned technical problem.
It is understood that although the present invention is disclosed as above with preferred embodiment, but above-described embodiment and it is not used to Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as With the equivalent embodiment of change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection It is interior.

Claims (8)

1. a kind of restaurant's concocting method based on image recognition, methods described allocates system including the use of the restaurant based on image recognition System to shift to an earlier date the dish delivery of each dish in dining table institute menu where the customer when irritated state occurs in customer sequentially automatically, institute Stating restaurant's mixing system based on image recognition includes high-definition image capture device, character memory device, customer's identification equipment, meal Table data acquisition equipment and rear kitchen control device, high-definition image capture device be used in restaurant scene carry out image capture with Obtain high definition restaurant image, character memory device is used to prestoring customer's resemblance, customer's identification equipment respectively with high definition Image capture device connects with character memory device, for determining customer's mesh of high definition restaurant image based on customer's resemblance Mark, determine that the dining table belonging to customer's target is numbered in the position of high definition restaurant image also based on customer's target, dining table data acquisition Equipment is used to gather each dining table institute menu in restaurant, and rear kitchen control device is adopted with customer's identification equipment and dining table data respectively Collect equipment connection, for determining the dish delivery of each dish in the affiliated dining table institute menu of customer's target based on each dining table institute menu Sequentially.
2. the method as described in claim 1, it is characterised in that the system also includes:
Kitchen alert device afterwards, it is connected with rear kitchen control device, for receiving each dish in the affiliated dining table institute menu of customer's target Dish delivery order, and reach the affiliated dining table institute menu of customer's target in each dish dish delivery order when, send alerting signal To remind cook to carry out corresponding dish delivery operation;
Wherein, rear kitchen alert device is not when reaching the dish delivery order of any dish in the affiliated dining table institute menu of customer's target, hair Go out alerting signal and operated with reminding cook to carry out the dish delivery of other dining tables.
3. method as claimed in claim 2, it is characterised in that:
Kitchen alert device includes display device and audio-frequence player device afterwards, and audio-frequence player device is loudspeaker or speech play chip In one kind.
4. method as claimed in claim 3, it is characterised in that also include:
Customer status detection device, it is connected respectively with character memory device and customer's identification equipment, for special based on customer's profile Sign determines subgraph where customer's target of high definition restaurant image using as customer's subgraph, by customer's subgraph and irritated degree Each customer's posture pattern in the table of comparisons is matched one by one, and by matching degree highest customer's posture pattern in irritated degree pair Exported according to corresponding customer's agitation degree in table as target agitation degree;
Adaptive-filtering equipment, it is arranged between high-definition image capture device and customer's identification equipment, for receiving high definition restaurant Image, interference signal type analysis is carried out to high definition restaurant image, and difference is determined based on the multiple interference signal types analyzed Corresponding each wave filter, using amplitude size order of each wave filter corresponding to difference based on interference signal successively to high definition Restaurant's image carries out corresponding each filtering process, and the image obtained after filtering process is replaced into high definition restaurant image is input to Gu Objective identification equipment;
Dish delivery difficulty analytical equipment, it is connected with the dining table data acquisition equipment, for receiving each dining table institute in restaurant After menu, the difficulty based on dish, dish amount and required type of raw materials quantity are in each dining table institute menu in restaurant Each dish sets significance level, wherein, dish is more difficult to do, and corresponding significance level is higher, and dish amount is smaller, corresponding significance level Lower, the type of raw materials that dish needs is more, and corresponding significance level is higher;
The character memory device has also prestored the irritated degree table of comparisons, the irritated degree table of comparisons save using customer's agitation degree as Each customer's posture pattern of index;
Kitchen control device is also connected with dish delivery difficulty analytical equipment and customer status detection device respectively after described, for receiving In the restaurant gathered to dining table data acquisition equipment after each dining table institute menu, based on each in each dining table institute menu The significance level of individual dish, the dish delivery order of each dish in each dining table institute menu is arranged, and it is big receiving target agitation degree When equal to default irritated degree threshold value, it is determined that the dining table belonging to customer's target corresponding with target agitation degree is numbered to be used as agitation Dining table is numbered, and the significance level that irritated dining table is numbered to each dish in corresponding dining table institute menu upgrades;
Wherein, the rear kitchen control device is numbering irritated dining table the important journey of each dish in corresponding dining table institute menu After degree upgrading, the significance level again based on each dish in each dining table institute menu, arrange in each dining table institute menu The dish delivery order of each dish;
Wherein, adaptive-filtering equipment uses amplitude size order of each wave filter based on interference signal corresponding to difference successively Corresponding each filtering process is carried out to high definition restaurant image to be included:The amplitude of interference signal is bigger, and high definition restaurant image is entered The order of the corresponding filtering process of row is more forward;
Wherein, the rear kitchen control device numbers irritated dining table the significance level of each dish in corresponding dining table institute menu Upgrading includes:Based on the grade of target agitation degree corresponding to irritated dining table numbering, it is determined that numbering corresponding meal to irritated dining table The amplitude that the significance level of each dish is upgraded in table institute menu, the grade of target agitation degree corresponding to irritated dining table numbering Higher, the amplitude upgraded accordingly is bigger.
5. method as claimed in claim 4, it is characterised in that:
When kitchen control device receives the irritated dining table numbering of identical numbering at the same time after described, based on receiving being tired of for identical numbering The quantity lifting of hot-tempered dining table numbering the irritated dining table for receiving identical numbering is numbered corresponding to each dish in dining table institute menu The upgrading amplitude of significance level;
Wherein, receive identical numbering irritated dining table numbering quantity it is more, to receive identical numbering irritated dining table number pair The upgrading amplitude of the significance level of each dish is bigger in the dining table institute menu answered.
6. method as claimed in claim 5, it is characterised in that the system also includes:
Liquid crystal display panel, it is connected with the rear kitchen control device, for receiving and in each dining table institute menu of real-time display The dish delivery order of each dish.
7. method as claimed in claim 6, it is characterised in that:
High-definition image capture device is spherical panorama capture device, including ambient light sensor, optical filter, camera lens, camera lens branch Frame and spherical panorama high-definition camera.
8. method as claimed in claim 7, it is characterised in that:
The character memory device is MMC storage cards, and its customer's resemblance prestored includes customer's upper limit gray threshold With customer's lower limit gray threshold, the span of customer's upper limit gray threshold and customer's lower limit gray threshold all between 0-255, Customer's upper limit gray threshold is more than customer's lower limit gray threshold.
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