CN109190706A - Self-service method, apparatus and system - Google Patents
Self-service method, apparatus and system Download PDFInfo
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- CN109190706A CN109190706A CN201811040647.1A CN201811040647A CN109190706A CN 109190706 A CN109190706 A CN 109190706A CN 201811040647 A CN201811040647 A CN 201811040647A CN 109190706 A CN109190706 A CN 109190706A
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- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000012549 training Methods 0.000 claims description 14
- 238000003062 neural network model Methods 0.000 claims description 4
- 230000006870 function Effects 0.000 description 9
- 230000008569 process Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 235000013361 beverage Nutrition 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/02—Coin-freed apparatus for dispensing, or the like, discrete articles from non-movable magazines
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- Control Of Vending Devices And Auxiliary Devices For Vending Devices (AREA)
Abstract
The present invention provides a kind of self-service method, apparatus and system, is related to automatic selling technical field, and self-service method is applied to commodity and identifies server, comprising: receives the first commodity image and the second commodity image transmitted by the controller in self-service machine；When first commodity image and the second commodity image are respectively that self-service machine senses that cabinet door opens and closes by infrared sensor, pass through the intracorporal commodity image of photographic device case collected；According to the first commodity image, the second commodity image and commodity identification model, intracorporal first merchandise news of case and the second merchandise news when cabinet door opens and closes are identified；Based on the first merchandise news and the second merchandise news, pre- shopping list is generated；Pre- shopping list includes: product name, commodity amount, cargo price and total price.The present invention can identify the cooperation of server and self-service machine by commodity, realize service of fast and efficiently selling goods, and the body shopping for greatly improving user is tested.
Description
Technical field
The present invention relates to automatic selling technical fields, more particularly, to a kind of self-service method, apparatus and system.
Background technique
With the enhancing of national strength and the fast development of national economy, the shopping way of people becomes more and more various
Change, wherein self-help shopping becomes a kind of shopping way to become more and more popular, greatly facilitates people's lives.
Existing self-help shopping mode is usually to use Self-help vending machine to realize, oneself is admired as long as user chooses
Article, and corresponding coin is put into from coin mouth, so that it may buy selected article.But the object that this Self-help vending machine provides
Product are limited, are generally only the beverages class article such as cola, Sprite, and user is needed to carry out relative complex operation, so that user purchases
Object inefficiency.
Summary of the invention
In view of this, commodity can be passed through the purpose of the present invention is to provide a kind of self-service method, apparatus and system
It identifies the cooperation of server and self-service machine, realizes service of fast and efficiently selling goods, the body shopping for greatly improving user is tested.
In a first aspect, being applied to commodity the embodiment of the invention provides a kind of self-service method and identifying server, method
Include:
Receive the first commodity image and the second commodity image transmitted by the controller in self-service machine；First commodity figure
When picture and the second commodity image are respectively that self-service machine senses that cabinet door opens and closes by infrared sensor, pass through camera shooting
The intracorporal commodity image of device case collected；
According to the first commodity image, the second commodity image and commodity identification model, identify when cabinet door opens and closes
Intracorporal first merchandise news of case and the second merchandise news；
Based on the first merchandise news and the second merchandise news, pre- shopping list is generated；Pre- shopping list includes: trade name
Title, commodity amount, cargo price and total price.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein also
Include:
Obtain commodity data sample；
Commodity data sample is divided into training data sample and verify data sample；
Training data sample is trained based on neural network model, generates commodity identification model.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein also
Include:
Verify data sample is inputted in commodity identification model, the accuracy of commodity identification model is verified.
With reference to first aspect, the embodiment of the invention provides the third possible embodiments of first aspect, wherein root
According to the first commodity image, the second commodity image and commodity identification model, case when cabinet door opens and closes intracorporal the is identified
One merchandise news and the second merchandise news, specifically include:
First commodity image is inputted in commodity identification model, using the first output result of commodity identification model as first
Merchandise news；
Second commodity image is inputted in commodity identification model, using the second output result of commodity identification model as second
Merchandise news.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein base
In the first merchandise news and the second merchandise news, pre- shopping list is generated, is specifically included:
First merchandise news is compared with the second merchandise news；
Judge whether the first merchandise news is identical as the second merchandise news；
If it is, judging that user does not do shopping；
If it is not, then the merchandise news different from the second merchandise news according to the first merchandise news, it is clear to generate pre- shopping
It is single.
With reference to first aspect, the embodiment of the invention provides the 5th kind of possible embodiments of first aspect, wherein
Based on the first merchandise news and the second merchandise news, after generating pre- shopping list, further includes:
Pre- shopping list is sent to controller, so that controller generates payment information according to pre- shopping list；
User transmitted by controller is received according to payment successful information generated after payment information completion delivery operation.
With reference to first aspect, the embodiment of the invention provides the 6th kind of possible embodiments of first aspect, wherein
Based on the first merchandise news and the second merchandise news, after generating pre- shopping list, further includes:
Receive user information transmitted by controller；
According to user information, pre- shopping list is sent to the mobile terminal of user, so that user is according to pre- shopping list
It pays the bill；
It receives user and completes payment successful information transmitted by mobile terminal after paying the bill.
With reference to first aspect, the embodiment of the invention provides the 7th kind of possible embodiments of first aspect, wherein also
Include:
According to payment successful information, the sales situation information of self-service machine is recorded；
According to sales situation information, Current inventory situation is determined and the information that replenishes；
The information that will replenish is sent to the mobile terminal of manager.
Second aspect, the embodiment of the present invention provide a kind of self-service device, comprising:
Image receiver module, for receiving the first commodity image and the second quotient transmitted by the controller in self-service machine
Product image；First commodity image and the second commodity image, which are respectively self-service machine, senses that cabinet door is opened by infrared sensor
When with closing, pass through the intracorporal commodity image of photographic device case collected；
Picture recognition module, for being offerd for sale according to the first commodity image, the second commodity image and commodity identification model, identification
Intracorporal first merchandise news of case and the second merchandise news when door opens and closes；
Inventory generation module generates pre- shopping list for being based on the first merchandise news and the second merchandise news；Pre- shopping
Inventory includes: product name, commodity amount, cargo price and total price.
The third aspect, the embodiment of the present invention also provide a kind of self-service system, comprising: self-service machine and commodity identification
Server；
Commodity identify that installation is just like the self-service device of second aspect on server；
Commodity identify that server and self-service machine communicate to connect；
Self-service machine includes: vending machine ontology and the controller being installed in vending machine ontology, photographic device and infrared
Sensor；Vending machine ontology includes cabinet door, cabinet.
The embodiment of the present invention bring it is following the utility model has the advantages that
Self-service method provided in an embodiment of the present invention is applied to commodity and identifies server, this method comprises: receiving nothing
First commodity image and the second commodity image transmitted by controller in people's vending machine；First commodity image and the second commodity figure
As passing through photographic device case collected when respectively self-service machine senses that cabinet door opens and closes by infrared sensor
Intracorporal commodity image；According to the first commodity image, the second commodity image and commodity identification model, identify that cabinet door beats on and off
Intracorporal first merchandise news of case and the second merchandise news when closing；Based on the first merchandise news and the second merchandise news, generate
Pre- shopping list；Pre- shopping list includes: product name, commodity amount, cargo price and total price.The present invention can pass through commodity
It identifies the cooperation of server and self-service machine, realizes service of fast and efficiently selling goods, the body shopping for greatly improving user is tested.
Other features and advantages of the present invention will illustrate in the following description, also, partly become from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention are in specification, claims
And specifically noted structure is achieved and obtained in attached drawing.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow chart for self-service method that the embodiment of the present invention one provides；
Fig. 2 is the flow chart for another self-service method that the embodiment of the present invention one provides；
Fig. 3 is the flow chart for another self-service method that the embodiment of the present invention one provides；
Fig. 4 is the flow chart for another self-service method that the embodiment of the present invention one provides；
Fig. 5 is the flow chart for another self-service method that the embodiment of the present invention one provides；
Fig. 6 is the flow chart for another self-service method that the embodiment of the present invention one provides；
Fig. 7 is the flow chart for another self-service method that the embodiment of the present invention one provides；
Fig. 8 is a kind of schematic diagram of self-service device provided by Embodiment 2 of the present invention；
Fig. 9 is a kind of schematic diagram for self-service system that the embodiment of the present invention three provides.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
The article that existing Self-help vending machine provides is limited, is generally only the beverages class article such as cola, Sprite, and need to use
Family carries out relative complex operation, the inefficiency so that user does shopping.Based on this, the embodiment of the present invention provides a kind of self-service
Method, apparatus and system can identify that the cooperation of server and self-service machine, realization are fast and efficiently sold goods by commodity
Service, the body shopping for greatly improving user are tested.
For convenient for understanding the present embodiment, first to a kind of self-service method disclosed in the embodiment of the present invention into
Row is discussed in detail.
Embodiment one:
The embodiment of the invention provides a kind of self-service method, this method is applied to commodity and identifies server, referring to Fig. 1
It is shown, method includes the following steps:
S11: the first commodity image and the second commodity image transmitted by the controller in self-service machine are received.
Wherein, the first commodity image and the second commodity image are respectively that self-service machine by infrared sensor senses cabinet
When door opens and closes, pass through the intracorporal commodity image of photographic device case collected.
Infrared sensor when specific implementation, when user opens the cabinet door of self-service machine, in self-service machine
It can sense that cabinet door is opened, at this moment, the controller in self-service machine sends control instruction to photographic device, takes the photograph with control
The intracorporal commodity image of case, i.e. the first commodity image when being opened as device acquisition cabinet door.In the embodiment of the present invention, photographic device can
It is multiple to be arranged, the intracorporal multiple positions of cabinet are respectively arranged in, to improve the subsequent accuracy to image recognition.Equally, when
User takes out article from cabinet, and when cabinet door is closed, infrared sensor receives inductive signal, and the signal that cabinet door is closed
It is sent to controller, controller sends control signal to photographic device again, to control case when photographic device acquisition cabinet door is closed
Intracorporal commodity image, i.e. the second commodity image.
S12: according to the first commodity image, the second commodity image and commodity identification model, identify that cabinet door opens and closes
When intracorporal first merchandise news of case and the second merchandise news.
Commodity identification server in is previously stored with commodity identification model, the model by neural network to commodity data into
Row training obtains, and specific process is for example following, and shown in Figure 3, details are not described herein.
After commodity identification server gets the first commodity image and the second commodity image transmitted by self-service machine,
Image is inputted respectively in commodity identification model, to obtain the corresponding merchandise news of commodity image.
Specifically, the first commodity image is inputted in commodity identification model, result is exported by the first of commodity identification model
As the first merchandise news；
Second commodity image is inputted in commodity identification model, using the second output result of commodity identification model as second
Merchandise news.
S13: it is based on the first merchandise news and the second merchandise news, generates pre- shopping list.
Wherein, pre- shopping list includes: product name, commodity amount, cargo price and total price.It is specific to generate pre- shopping
The process of inventory specifically includes following steps, shown in Figure 2:
S21: the first merchandise news is compared with the second merchandise news.
S22: judge whether the first merchandise news is identical as the second merchandise news.
If so, thening follow the steps S23: judging that user does not do shopping.
If not, thening follow the steps S24: according to the first merchandise news merchandise news different from the second merchandise news,
Generate pre- shopping list.
Specifically, when cabinet door is opened and when cabinet door is closed, corresponding first merchandise news and the second merchandise news compare
It is right, judge whether the two is identical, if identical, shows that user does not take article away, that is, do not do shopping, if not
Together, then show that user removes article, and merchandise news corresponding to the second commodity image is bound to than the first commodity image
Corresponding merchandise news is few, further generates forward purchasing according to merchandise news different in the first merchandise news and the second merchandise news
Object inventory.
The training process of commodity identification model involved in this method is described in detail below, passes through trained mould
Type can quickly identify commodity image, and with the above-mentioned merchandise news of determination, specific model training process includes following step
Suddenly, shown in Figure 3:
S31: commodity data sample is obtained.
A large amount of commodity image and merchandise news are obtained first as commodity data sample, and commodity image includes: various angles
The image of the extensive stock of degree, merchandise news include: a variety of merchandise newss such as product name corresponding to image, commodity weight.
S32: commodity data sample is divided into training data sample and verify data sample.
Further, above-mentioned commodity data sample is divided into training data sample and verify data sample, usually, 70%
Data be used to training pattern, 30% data are used to carry out the verifying of model accuracy.
S33: being trained training data sample based on neural network model, generates commodity identification model.
After commodity data sample is divided into training data sample and verify data sample, training data sample is inputted
It is trained in neural network model, to generate commodity identification model.
It is further comprising the steps of after training model, shown in Figure 4:
S41: verify data sample is inputted in commodity identification model, the accuracy of commodity identification model is verified.
When verification result is not ideal enough, model parameter is adjusted, constantly model is optimized, commodity is improved and knows
The accuracy of other model.
It is based on the first merchandise news and the second merchandise news above-mentioned, further includes following step after generating pre- shopping list
Suddenly, shown in Figure 5:
S51: pre- shopping list is sent to controller, so that controller generates payment information according to pre- shopping list.
After generating pre- shopping list, commodity identify that the inventory is sent to the controller in self-service machine by server,
Controller is further set to generate payment information according to pre- shopping list, so that user pays according to the payment information.
S52: it receives user transmitted by controller and is paid successfully according to generated after payment information completion delivery operation
Information.
After user completes payment according to above-mentioned payment information, user's payment successful information is sent to commodity by controller to be known
Other server, so that server carries out subsequent record and analysis.
Alternatively, in another embodiment, being based on the first merchandise news and the second merchandise news above-mentioned, generating forward purchasing
It is further comprising the steps of after object inventory, shown in Figure 6:
S61: user information transmitted by controller is received.
Before user opens cabinet door, barcode scanning operation is carried out by mobile terminal first, to make self-service by this operation
The cabinet door of machine is opened, and in the process, controller can automatically receive the identity information of user, such as the cell-phone number of user, i.e.,
Above-mentioned user information.After user completes that object is taken to operate, the user information of the user is sent to commodity identification server.
Pre- shopping list: according to user information, being sent to the mobile terminal of user by S62, so that user is according to pre- shopping
Inventory is paid the bill.
Further, commodity identify that pre- shopping list according to above-mentioned cell-phone number, is sent to the mobile terminal of user by server,
To make user complete delivery operation.
S63: it receives user and completes payment successful information transmitted by mobile terminal after paying the bill.
After user completes payment according to above-mentioned pre- shopping list, receives user and pay successful information, it is subsequent to carry out
Record and analysis.
It is further comprising the steps of after commodity identification server receives the payment successful information of user, referring to Fig. 7 institute
Show:
S71: according to payment successful information, the sales situation information of self-service machine is recorded.
Commodity identify that server after receiving the payment successful information of user, carries out the merchandise news in the contract note
Record, is counted with the sales situation to self-service machine.
S72: according to sales situation information, Current inventory situation is determined and the information that replenishes.
Further, by above-mentioned sales situation information, it is known that current commodity surplus, and determine the self-service
The product name and quantity that machine requires supplementation with, i.e., above-mentioned stock position and the information that replenishes.
S73: the information that will replenish is sent to the mobile terminal of manager.
After determining the information that replenishes of self-service machine, the mobile terminal of manager is sent it to, so that administrative staff
Timely replenished operation, and then meets the shopping need of user.
Self-service method provided in an embodiment of the present invention is applied to commodity and identifies server, this method comprises: receiving nothing
First commodity image and the second commodity image transmitted by controller in people's vending machine；First commodity image and the second commodity figure
As passing through photographic device case collected when respectively self-service machine senses that cabinet door opens and closes by infrared sensor
Intracorporal commodity image；According to the first commodity image, the second commodity image and commodity identification model, identify that cabinet door beats on and off
Intracorporal first merchandise news of case and the second merchandise news when closing；Based on the first merchandise news and the second merchandise news, generate
Pre- shopping list；Pre- shopping list includes: product name, commodity amount, cargo price and total price.The embodiment of the present invention can lead to
The cooperation for crossing commodity identification server and self-service machine, realizes service of fast and efficiently selling goods, and greatly improves the body purchase of user
Object is tested.
Embodiment two:
The embodiment of the present invention provides a kind of self-service device, and shown in Figure 8, which includes: image receiver module
81, picture recognition module 82, inventory generation module 83.
Wherein, image receiver module 81, for receiving the first commodity image transmitted by the controller in self-service machine
With the second commodity image；First commodity image and the second commodity image are respectively that self-service machine is sensed by infrared sensor
When cabinet door opens and closes, pass through the intracorporal commodity image of photographic device case collected；Picture recognition module 82 is used for basis
First commodity image, the second commodity image and commodity identification model identify the case intracorporal first when cabinet door opens and closes
Merchandise news and the second merchandise news；Inventory generation module 83 is generated for being based on the first merchandise news and the second merchandise news
Pre- shopping list；Pre- shopping list includes: product name, commodity amount, cargo price and total price.
In self-service device provided by the embodiment of the present invention, modules have identical with aforementioned self-service method
Technical characteristic above-mentioned function equally therefore may be implemented.The specific work process of modules is referring to above-mentioned side in the present apparatus
Method embodiment, details are not described herein.
Embodiment three:
The embodiment of the present invention also provides a kind of self-service system, shown in Figure 9, which includes: self-service machine
91 and commodity identify server 92.Self-service device 921 as described in embodiment two is installed on commodity identification server 92；
Commodity identify that server 92 and self-service machine 91 communicate to connect；Self-service machine 91 includes: vending machine ontology 911 and is installed on
Controller 912, photographic device 913 and infrared sensor 914 in vending machine ontology 911；Vending machine ontology 911 include cabinet door,
Cabinet.
In addition, further include mobile terminal in above system, such as: smart phone, tablet computer etc..
In self-service system provided by the embodiment of the present invention, modules have identical with aforementioned self-service method
Technical characteristic above-mentioned function equally therefore may be implemented.The specific work process of modules is referring to above-mentioned side in this system
Method embodiment, details are not described herein.
The computer program product of self-service method provided by the embodiment of the present invention, including store processor and can hold
The computer readable storage medium of capable non-volatile program code, the instruction that said program code includes can be used for executing front
Method described in embodiment of the method, specific implementation can be found in embodiment of the method, and details are not described herein.
It is apparent to those skilled in the art that for convenience and simplicity of description, the device of foregoing description
And the specific work process of electronic equipment, it can refer to corresponding processes in the foregoing method embodiment, details are not described herein.
The flow chart and block diagram in the drawings show multiple embodiment method and computer program products according to the present invention
Architecture, function and operation in the cards.In this regard, each box in flowchart or block diagram can represent one
A part of module, section or code, a part of the module, section or code include it is one or more for realizing
The executable instruction of defined logic function.It should also be noted that in some implementations as replacements, function marked in the box
It can also can occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually be substantially parallel
Ground executes, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that block diagram
And/or the combination of each box in flow chart and the box in block diagram and or flow chart, it can the function as defined in executing
Can or the dedicated hardware based system of movement realize, or can come using a combination of dedicated hardware and computer instructions real
It is existing.
In the description of the present invention, it should be noted that term " center ", "upper", "lower", "left", "right", "vertical",
The orientation or positional relationship of the instructions such as "horizontal", "inner", "outside" be based on the orientation or positional relationship shown in the drawings, merely to
Convenient for description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation,
It is constructed and operated in a specific orientation, therefore is not considered as limiting the invention.In addition, term " first ", " second ",
" third " is used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance.
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with
It realizes by another way.The apparatus embodiments described above are merely exemplary, for example, the division of the unit,
Only a kind of logical function partition, there may be another division manner in actual implementation, in another example, multiple units or components can
To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for
The mutual coupling, direct-coupling or communication connection of opinion can be through some communication interfaces, device or unit it is indirect
Coupling or communication connection can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in the executable non-volatile computer-readable storage medium of a processor.Based on this understanding, of the invention
Technical solution substantially the part of the part that contributes to existing technology or the technical solution can be with software in other words
The form of product embodies, which is stored in a storage medium, including some instructions use so that
One computer equipment (can be personal computer, server or the network equipment etc.) executes each embodiment institute of the present invention
State all or part of the steps of method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. a kind of self-service method, which is characterized in that be applied to commodity and identify server, which comprises
Receive the first commodity image and the second commodity image transmitted by the controller in self-service machine；The first commodity figure
When picture and second commodity image are respectively that self-service machine senses that cabinet door opens and closes by infrared sensor, pass through
The intracorporal commodity image of photographic device case collected；
According to first commodity image, the second commodity image and commodity identification model, identify when cabinet door opens and closes
Intracorporal first merchandise news of the case and the second merchandise news；
Based on first merchandise news and second merchandise news, pre- shopping list is generated；The pre- shopping list includes:
Product name, commodity amount, cargo price and total price.
2. the method according to claim 1, wherein further include:
Obtain commodity data sample；
The commodity data sample is divided into training data sample and verify data sample；
The training data sample is trained based on neural network model, generates the commodity identification model.
3. according to the method described in claim 2, it is characterized by further comprising:
The verify data sample is inputted in the commodity identification model, the accuracy of the commodity identification model is tested
Card.
4. the method according to claim 1, wherein described according to first commodity image, the second commodity figure
Picture and commodity identification model identify intracorporal first merchandise news of the case and the second commodity letter when cabinet door opens and closes
Breath, specifically includes:
First commodity image is inputted in the commodity identification model, exports result for the first of the commodity identification model
As first merchandise news；
Second commodity image is inputted in the commodity identification model, exports result for the second of the commodity identification model
As second merchandise news.
5. the method according to claim 1, wherein described be based on first merchandise news and second quotient
Product information generates pre- shopping list, specifically includes:
First merchandise news is compared with second merchandise news；
Judge whether first merchandise news and second merchandise news are identical；
If it is, judging that user does not do shopping；
If it is not, then the merchandise news different from second merchandise news according to first merchandise news, described in generation
Pre- shopping list.
6. the method according to claim 1, wherein being based on first merchandise news and described second described
Merchandise news, after generating pre- shopping list, further includes:
The pre- shopping list is sent to the controller, so that the controller generates payment according to the pre- shopping list
Information；
User transmitted by the controller is received to be paid successfully according to generated after payment information completion delivery operation
Information.
7. the method according to claim 1, wherein being based on first merchandise news and described second described
Merchandise news, after generating pre- shopping list, further includes:
Receive user information transmitted by the controller；
According to the user information, the pre- shopping list is sent to the mobile terminal of the user, so that user's root
It pays the bill according to the pre- shopping list；
It receives user and completes payment successful information transmitted by the mobile terminal after paying the bill.
8. method according to claim 6 or 7, which is characterized in that further include:
According to the payment successful information, the sales situation information of the self-service machine is recorded；
According to the sales situation information, Current inventory situation is determined and the information that replenishes；
The information that replenishes is sent to the mobile terminal of manager.
9. a kind of self-service device characterized by comprising
Image receiver module, for receiving the first commodity image transmitted by the controller in self-service machine and the second commodity figure
Picture；First commodity image and second commodity image are respectively that self-service machine by infrared sensor senses cabinet door
When opening and closing, pass through the intracorporal commodity image of photographic device case collected；
Picture recognition module, for being offerd for sale according to first commodity image, the second commodity image and commodity identification model, identification
Intracorporal first merchandise news of the case and the second merchandise news when door opens and closes；
Inventory generation module generates pre- shopping list for being based on first merchandise news and second merchandise news；Institute
Stating pre- shopping list includes: product name, commodity amount, cargo price and total price.
10. a kind of self-service system characterized by comprising self-service machine and commodity identify server；
Self-service device as claimed in claim 9 is installed on the commodity identification server；
The commodity identification server and the self-service machine communicate to connect；
The self-service machine include: vending machine ontology and the controller being installed in the vending machine ontology, photographic device and
Infrared sensor；The vending machine ontology includes cabinet door, cabinet.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811040647.1A CN109190706A (en) | 2018-09-06 | 2018-09-06 | Self-service method, apparatus and system |
| PCT/CN2018/108000 WO2020047918A1 (en) | 2018-09-06 | 2018-09-27 | Self-service vending method, apparatus, and system, electronic device, and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811040647.1A CN109190706A (en) | 2018-09-06 | 2018-09-06 | Self-service method, apparatus and system |
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| CN109190706A true CN109190706A (en) | 2019-01-11 |
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| CN201811040647.1A Pending CN109190706A (en) | 2018-09-06 | 2018-09-06 | Self-service method, apparatus and system |
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| Country | Link |
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| CN (1) | CN109190706A (en) |
| WO (1) | WO2020047918A1 (en) |
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