CN108596673A - The merchandise sales auxiliary system of view-based access control model identification technology - Google Patents
The merchandise sales auxiliary system of view-based access control model identification technology Download PDFInfo
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- CN108596673A CN108596673A CN201810391849.4A CN201810391849A CN108596673A CN 108596673 A CN108596673 A CN 108596673A CN 201810391849 A CN201810391849 A CN 201810391849A CN 108596673 A CN108596673 A CN 108596673A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0281—Customer communication at a business location, e.g. providing product or service information, consulting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
Abstract
The merchandise sales auxiliary system of view-based access control model identification technology, belongs to merchandise sales field of auxiliary, solves the problems, such as that retail business is overly dependent upon shoppers' guide under existing line.Merchandise sales auxiliary system：Effective mobile route generation module generates effective mobile route of the customer in cog region.Entering order acquisition module obtains the sequence that customer enters and exits effective sub- cog region respectively with sequence acquisition module is exited.Each distance of the effectively sub- cog region to effective mobile route starting point is obtained apart from acquisition module.Residence time of the residence time acquisition module customer in each effectively sub- cog region.Iterate through detection module determine be repeated by effective sub- cog region and iterate through the number in the area.Candidate intention assessment area judgment module judges the candidate intention assessment area of predetermined quantity based on above-mentioned parameter, and as the input parameter of intention assessment area judgment module.Merchandise news display module shows the information of intention commodity according to the output result of intention assessment area judgment module.
Description
Technical field
The present invention relates to a kind of merchandise sales auxiliary systems, belong to merchandise sales field of auxiliary.
Background technology
In recent years, with the rise of e-commerce, retail business receives unprecedented impact under line.It is sold under existing line
One big drawback of industry is that its business model is overly dependent upon shoppers' guide.After customer chooses intention commodity into shop, often need
Shoppers' guide is wanted to provide more merchandise newss in time for it.At this point, if shoppers' guide has no time to attend to the customer, Wu Fayi
It is straight to accompany customer's picking commodities either incomplete to merchandise news grasp, it is likely that lead to the loss of the customer and the mistake of transaction
It loses.In order to solve this problem, retail business needs recruit sufficient amount of shoppers' guide according to the volume of the flow of passengers under existing line.So
And this considerably increases the recruitment costs of enterprise.
Invention content
The present invention is to solve the problems, such as that retail business is overly dependent upon shoppers' guide under existing line, it is proposed that a kind of view-based access control model
The merchandise sales auxiliary system of identification technology.
The merchandise sales auxiliary system of view-based access control model identification technology of the present invention includes：
Cog region demarcating module, for demarcating cog region and sub- cog region in product display zone；
Cog region covers the entire service in product display zone, the sole product in sub- cog region covering product display zone；
Cog region image capture module, for acquiring cog region image in real time；
Effective mobile route generation module, for according to cog region image, generating effective movement of the customer in cog region
Path；
The beginning and end of effective mobile route is respectively to be exited by the cog region inlet point and cog region of object of customer
Point, customer implemented intervention action to the commodity on effective mobile route in each effectively sub- cog region；
Intervention action includes that customer touches, is directed toward, picks up and puts down commodity and between commodity and effectively sub- cog region
Gap is passed through；
In the case where customer passes through from the gap of commodity and effective sub- cog region, as customer and effective sub- cog region inside trade
When the minimum spacing of product is less than or equal to preset value, its action is judged for intervention action, otherwise, judges that its action is dynamic for non-intervention
Make；
Entering order acquisition module, the sequence for obtaining customer into effective sub- cog region on effective mobile route；
Sequence acquisition module is exited, the sequence of effective sub- cog region on effective mobile route is exited for obtaining customer；
Apart from acquisition module, for each of obtaining on effective mobile route effectively sub- cog region to effective mobile route
The distance of point；
Residence time acquisition module, the stop for obtaining customer's effective sub- cog region each of on effective mobile route
Time；
Detection module is iterated through, for determining effective sub- cog region that effective mobile route iterates through and repeating to pass through
Cross the number of effective sub- cog region；
Candidate intention assessment area judgment module, for entering effective sub- cog region on effective mobile route according to customer
Sequentially, customer exit the sequence of effective sub- cog region on effective mobile route, effective sub- knowledge each of on effective mobile route
Other area to the distance of effective mobile route starting point, the residence time of customer's effective sub- cog region each of on effective mobile route
Effective sub- cog region for being iterated through with effective mobile route and the number for iterating through the effective sub- cog region, judge pre-
The candidate intention assessment area of fixed number amount；
Intention assessment area judgment module, for judging intention assessment area in the candidate intention assessment area of predetermined quantity；
Merchandise news display module, the information for showing intention commodity in intention assessment area to customer.
As preferably, cog region demarcating module is examined using two dimensional image feature detection algorithm or three-dimensional depth map feature
Method of determining and calculating demarcates cog region and sub- cog region.
As preferably, cog region image capture module is realized using 2D cameras or 3D cameras.
As preferably, candidate intention assessment area judgment module judges predetermined quantity according to the decision-tree model of built in advance
Candidate intention assessment area.
As preferably, it is intended that probability statistics model or deep learning model of the cog region judgment module based on built in advance point
Class device judges intention assessment area.
As preferably, the merchandise sales auxiliary system further includes：
Into detection module, for according to cog region image, detecting the action that customer enters cog region and sub- cog region, and
Record cog region inlet point and sub- cog region inlet point；
Detection module is exited, for according to cog region image, detecting the action that customer exits cog region and sub- cog region, and
Record cog region exit point and sub- cog region exit point；
Effective sub- cog region judgment module, the intervention action that customer implements in sub- cog region for identification, and by the sub- knowledge
Other area is judged as effective sub- cog region；
Effectively sub- cog region entrance, exit point screening module, for being entered according to effective sub- cog region and sub- cog region
Point and sub- cog region exit point filter out effective sub- cog region inlet point and effective sub- cog region exit point；
Effective mobile route generation module is according to cog region inlet point, effectively sub- cog region inlet point, effectively sub- cog region
Exit point and cog region exit point, generate effective mobile route.
As preferably, apart from acquisition module using the distance of effective sub- cog region inlet point to cog region inlet point as
Distance of the effective sub- cog region to effective mobile route starting point.
As preferably, it is being intended to after cog region judgment module judges intention assessment area, merchandise news display module
It is automatic to play the audio and video information to match with intention commodity；
Merchandise news display module is embedded with：
Merchandise news stores submodule, the relevant information for storing commodity in product display zone；
Human-computer interaction submodule is again identified the keyword that customer sends out for first being demarcated to customer's face,
And transfer and feed back the information associated with keyword of intention commodity；
Audio and video information plays control submodule, for feeding back the related to keyword of intention commodity in human-computer interaction submodule
When the information of connection, the broadcasting of intention commodity audio and video information is interrupted, and after the completion of information is fed back, restores intention commodity audio and video information
Broadcasting.
As preferably, the merchandise sales auxiliary system further includes：
Backstage logging modle, for recording the intervention action of customer's implementation, the commodity in effective cog region, candidate being intended to know
Commodity in other area and intention commodity.
As preferably, the merchandise sales auxiliary system further includes：
Cash register module, the expense for collecting customer's purchase intention commodity；
Commodity lock modules, for lockking every commodity in product display zone in scheduled space, and in customer's branch
Intention commodity are unlocked after paying the expense of purchase intention commodity.
The merchandise sales auxiliary system of view-based access control model identification technology of the present invention, by image processing techniques in commodity
Cog region and sub- cog region are demarcated in display area.View-based access control model identification technology identifies what customer implemented commodity in sub- cog region
Intervention action, and the sub- cog region is defined as effective sub- cog region.Process is generated using effective mobile route generation module
Effective mobile route of all effectively sub- cog regions.Effective mobile route is entered to obtain customer using entering order acquisition module
On effective sub- cog region sequence.Using exit sequence acquisition module obtain customer exit it is effective on effective mobile route
The sequence of sub- cog region.Effectively sub- cog region each of is obtained on effective mobile route using apart from acquisition module to effectively shifting
The distance of dynamic path starting point.Customer's effective sub- knowledge each of on effective mobile route is obtained using residence time acquisition module
The residence time in other area.Determined using detection module is iterated through effective sub- cog region that effective mobile route iterates through with
And iterate through the number of effective sub- cog region.
The merchandise sales auxiliary system of view-based access control model identification technology of the present invention will be obtained above by entering order
Module exits sequence acquisition module, apart from acquisition module, residence time acquisition module and the number for iterating through detection module acquisition
According to the input parameter as candidate intention assessment area judgment module.Candidate intention assessment area judgment module is exported based on input parameter
The candidate intention assessment area of predetermined quantity.Intention assessment area judgment module is judged according to the candidate intention assessment area of predetermined quantity
Intention assessment area.Merchandise news display module shows intention assessment according to the judging result of intention assessment area judgment module to customer
The information of intention commodity in area.
As shown in the above, the merchandise sales auxiliary system of view-based access control model identification technology of the present invention can judge
Go out the intention commodity of customer, and shows the information of intention commodity to customer.Therefore, view-based access control model identification technology of the present invention
Merchandise sales auxiliary system can fundamentally to solve retail business under existing line that may be present because shoppers' guide has no time to attend to
The customer can not accompany always customer's picking commodities either to grasp incomplete to merchandise news and cause customer to be lost in and merchandise and lose
The problem of losing, and then solve the problems, such as that retail business is overly dependent upon shoppers' guide under existing line.
Description of the drawings
The commodity to view-based access control model identification technology of the present invention will hereinafter be carried out based on the embodiments and with reference to the accompanying drawings
Sale auxiliary system is described in more detail, wherein：
Fig. 1 is the exemplary plot that cog region and sub- cog region are demarcated in product display zone that embodiment refers to；
Fig. 2 is the exemplary plot for effective mobile route that embodiment refers to；
Fig. 3 is the application scenario diagram of the merchandise sales auxiliary system of the view-based access control model identification technology described in embodiment.
Specific implementation mode
The merchandise sales auxiliary system of view-based access control model identification technology of the present invention is made into one below in conjunction with attached drawing
Walk explanation.
Embodiment：The present embodiment is explained in detail with reference to Fig. 1 to Fig. 3.
The merchandise sales auxiliary system of view-based access control model identification technology described in the present embodiment includes：
Cog region demarcating module, for demarcating cog region and sub- cog region in product display zone；
Cog region covers the entire service in product display zone, the sole product in sub- cog region covering product display zone；
Cog region image capture module, for acquiring cog region image in real time；
Effective mobile route generation module, for according to cog region image, generating effective movement of the customer in cog region
Path；
The beginning and end of effective mobile route is respectively to be exited by the cog region inlet point and cog region of object of customer
Point, customer implemented intervention action to the commodity on effective mobile route in each effectively sub- cog region；
Intervention action includes that customer touches, is directed toward, picks up and puts down commodity and between commodity and effectively sub- cog region
Gap is passed through；
In the case where customer passes through from the gap of commodity and effective sub- cog region, as customer and effective sub- cog region inside trade
When the minimum spacing of product is less than or equal to preset value, its action is judged for intervention action, otherwise, judges that its action is dynamic for non-intervention
Make；
Entering order acquisition module, the sequence for obtaining customer into effective sub- cog region on effective mobile route；
Sequence acquisition module is exited, the sequence of effective sub- cog region on effective mobile route is exited for obtaining customer；
Apart from acquisition module, for each of obtaining on effective mobile route effectively sub- cog region to effective mobile route
The distance of point；
Residence time acquisition module, the stop for obtaining customer's effective sub- cog region each of on effective mobile route
Time；
Detection module is iterated through, for determining effective sub- cog region that effective mobile route iterates through and repeating to pass through
Cross the number of effective sub- cog region；
Candidate intention assessment area judgment module, for entering effective sub- cog region on effective mobile route according to customer
Sequentially, customer exit the sequence of effective sub- cog region on effective mobile route, effective sub- knowledge each of on effective mobile route
Other area to the distance of effective mobile route starting point, the residence time of customer's effective sub- cog region each of on effective mobile route
Effective sub- cog region for being iterated through with effective mobile route and the number for iterating through the effective sub- cog region, judge pre-
The candidate intention assessment area of fixed number amount；
Intention assessment area judgment module, for judging intention assessment area in the candidate intention assessment area of predetermined quantity；
Merchandise news display module, the information for showing intention commodity in intention assessment area to customer.
The cog region demarcating module of the present embodiment is detected using two dimensional image feature detection algorithm or three-dimensional depth map feature
Algorithm demarcates cog region and sub- cog region.
Fig. 1 is the exemplary plot that cog region and sub- cog region are demarcated in product display zone.As shown in Figure 1, the present embodiment
Cog region demarcating module demarcates the position of cog region and sub- cog region and size by the way of two-dimentional picture frame.
The cog region image capture module of the present embodiment is realized using 2D cameras or 3D cameras.
The candidate intention assessment area judgment module of the present embodiment judges predetermined quantity according to the decision-tree model of built in advance
Candidate intention assessment area.
Fig. 2 is the exemplary plot for effective mobile route that effective mobile route generation module generates.It is detailed below in conjunction with Fig. 2
Illustrate the candidate intention assessment area judgment module of the present embodiment is how to judge according to the decision-tree model and input parameter of built in advance
Go out the candidate intention assessment area of predetermined quantity.
As shown in Fig. 2, sub- cog region 1~sub- cog region 9 is distributed in cog region.
The sequence for effective sub- cog region that customer acquired in entering order acquisition module enters on effective mobile route is
Sub- cog region 1, sub- cog region 2, sub- cog region 6, sub- cog region 9, sub- cog region 8, sub- cog region 4 and sub- cog region 1.Decision tree
The determination strategy of model is to be introduced into be excluded, and therefore, sub- cog region 1 is excluded.
The sequence for exiting effective sub- cog region that the customer acquired in sequence acquisition module exits on effective mobile route is
Sub- cog region 2, sub- cog region 6, sub- cog region 9, sub- cog region 8, sub- cog region 4 and sub- cog region 1.The judgement of decision-tree model
Strategy is exited to exit with the last one and is excluded for first.Therefore, sub- cog region 1 and sub- cog region 2 are excluded.
Effective sub- cog region rises to effective mobile route each of on effective mobile route acquired in acquisition module
The distance of point according to being arranged as sub- cog region 1, sub- cog region 2, sub- cog region 4, sub- cog region 8,6 and of sub- cog region from small to large
Sub- cog region 9.The determination strategy of decision-tree model is to be selected apart from larger the first two, and it is 6 He of sub- cog region to select result
Sub- cog region 9.
The stop of customer's effective sub- cog region each of on effective mobile route acquired in residence time acquisition module
Time knows according to sub- cog region 1, sub- cog region 6, sub- cog region 9, sub- cog region 8, sub- cog region 4 and son is arranged as from long to short
Other area 2.The determination strategy of decision-tree model is that stay time comes being selected for front three, and factor cog region 1 has been excluded,
It is sub- cog region 6 and sub- cog region 9 to select result.
The acquisition result for iterating through detection module is sub- cog region 1, is iterated through 1 time.But the first quilt of sub- cog region 1
It excludes.
Therefore, the candidate intention assessment area that candidate intention assessment area judgment module is judged is that sub- cog region 6 and son identify
Area 9.
Probability statistics model or deep learning category of model of the intention assessment area judgment module of the present embodiment based on built in advance
Device judges intention assessment area.After sub- cog region 6 and sub- cog region 9 are input to intention assessment area judgment module, output knot
Fruit is sub- cog region 9, i.e. intention assessment area.
The present embodiment by the optimization to accumulation parameter and threshold value setting, realize to candidate intention assessment area judgment module and
The optimization of intention assessment area judgment module.
The merchandise sales auxiliary system of view-based access control model identification technology described in the present embodiment further includes：
Into detection module, for according to cog region image, detecting the action that customer enters cog region and sub- cog region, and
Record cog region inlet point and sub- cog region inlet point；
Detection module is exited, for according to cog region image, detecting the action that customer exits cog region and sub- cog region, and
Record cog region exit point and sub- cog region exit point；
Effective sub- cog region judgment module, the intervention action that customer implements in sub- cog region for identification, and by the sub- knowledge
Other area is judged as effective sub- cog region；
Effectively sub- cog region entrance, exit point screening module, for being entered according to effective sub- cog region and sub- cog region
Point and sub- cog region exit point filter out effective sub- cog region inlet point and effective sub- cog region exit point；
Effective mobile route generation module is according to cog region inlet point, effectively sub- cog region inlet point, effectively sub- cog region
Exit point and cog region exit point, generate effective mobile route.
Effective sub- cog region judgment module view-based access control model identification technology of the present embodiment, can touch customer, be directed toward, take
It plays and puts down commodity and made from intervening acts such as the gap processes of commodity and effective sub- cog region and accurately identified, and nothing
The placement regulation of commodity in product display zone need to be limited, as long as the commodity separation in product display zone is put, not mutually
It blocks.
Compared with existing intelligent identification technology, such as RFID, the quotient of the view-based access control model identification technology described in the present embodiment
Product sale auxiliary system is not necessarily to the attachment identification label on commodity, not only saves material cost and cost of labor, and can be with
Avoid because identify label by due to cause commodity can not identified problem.
Compared with existing intelligent identification technology, such as gravity sensing, the view-based access control model identification technology described in the present embodiment
Merchandise sales auxiliary system can not only to commodity carry out distinctiveness discrimination, and save install additional gravity sensor at
This, and there is higher identification certainty.
The present embodiment apart from acquisition module using the distance of effective sub- cog region inlet point to cog region inlet point as this
Distance of effective sub- cog region to effective mobile route starting point.
After the intention assessment area judgment module of the present embodiment judges intention assessment area, merchandise news display module is automatic
Play the audio and video information to match with intention commodity；
Merchandise news display module is embedded with：
Merchandise news stores submodule, the relevant information for storing commodity in product display zone；
Human-computer interaction submodule is again identified the keyword that customer sends out for first being demarcated to customer's face,
And transfer and feed back the information associated with keyword of intention commodity；
Audio and video information plays control submodule, for feeding back the related to keyword of intention commodity in human-computer interaction submodule
When the information of connection, the broadcasting of intention commodity audio and video information is interrupted, and after the completion of information is fed back, restores intention commodity audio and video information
Broadcasting.
The merchandise sales auxiliary system of view-based access control model identification technology of the present invention is based on human-computer interaction submodule and cares for
Visitor carries out human-computer interaction, can further enhance the shopping experience of customer.
The merchandise sales auxiliary system of view-based access control model identification technology described in the present embodiment further includes：
Backstage logging modle, for recording the intervention action of customer's implementation, the commodity in effective cog region, candidate being intended to know
Commodity in other area and intention commodity.
The backstage logging modle of the present embodiment can to intervention action that customer implements, the commodity in effective cog region, wait
The valuable data such as commodity and the intention commodity in intention assessment area are selected to be recorded and counted, these data can not only be used
In sale big data analysis, merchandise control is additionally aided, foundation is provided for the tally and sale of commodity.
The merchandise sales auxiliary system of view-based access control model identification technology described in the present embodiment further includes：
Cash register module, the expense for collecting customer's purchase intention commodity；
Commodity lock modules, for lockking every commodity in product display zone in scheduled space, and in customer's branch
Intention commodity are unlocked after paying the expense of purchase intention commodity.
Fig. 3 is the application scenario diagram of the merchandise sales auxiliary system of the view-based access control model identification technology described in the present embodiment.Such as
Shown in Fig. 3, the merchandise sales auxiliary system of the view-based access control model identification technology described in the present embodiment adds display screen using smart box
Form is realized.In practical application, the merchandise sales auxiliary system of view-based access control model identification technology described in the present embodiment can be with
It is realized using the hardware of other forms, such as all-in-one machine.
The merchandise sales auxiliary system of view-based access control model identification technology described in the present embodiment can also coordinate with cell phone application and make
With cell phone application is divided into customer's version and businessman's version.Customer can obtain the relevant information of intention commodity by customer's version APP.System
Systematic parameter can be arranged by businessman's version APP in administrative staff, change picture and video information etc..In addition to this, system administration
Personnel can also carry out relevant setting in a manner of by PC machine login system backstage to system.When the view-based access control model identifies
In the presence of the merchandise sales auxiliary system of technology is in the form of smart box adds display screen or all-in-one machine, system manager may be used also
In a manner of by external access of mouse directly system setting is carried out in front end.
The merchandise sales auxiliary system of view-based access control model identification technology described in the present embodiment can also be applied to other occasions,
Such as supermarket, various retail shops, unmanned shop, museum, exhibition center and self-service eating and drinking establishment such as daily, household, books etc. of living.
Although describing the present invention herein with reference to specific embodiment, it should be understood that, these realities
It is the example of principles and applications to apply example only.It should therefore be understood that can be permitted exemplary embodiment
More modifications, and can be designed that other arrangements, spirit without departing from the present invention as defined in the appended claims and
Range.It should be understood that can be by combining different appurtenances different from mode described in original claim
It is required that and feature described herein.It will also be appreciated that the feature in conjunction with described in separate embodiments can be used at it
In his embodiment.
Claims (10)
1. the merchandise sales auxiliary system of view-based access control model identification technology, which is characterized in that the merchandise sales auxiliary system includes：
Cog region demarcating module, for demarcating cog region and sub- cog region in product display zone；
Cog region covers the entire service in product display zone, the sole product in sub- cog region covering product display zone；
Cog region image capture module, for acquiring cog region image in real time；
Effective mobile route generation module, for according to cog region image, generating effective mobile route of the customer in cog region；
The beginning and end of effective mobile route is respectively to be cared for using customer as the cog region inlet point of object and cog region exit point
Visitor implemented intervention action to the commodity on effective mobile route in each effectively sub- cog region；
Intervention action includes that customer touches, is directed toward, picks up and puts down commodity and passed through from the gap of commodity and effective sub- cog region
It crosses；
In the case where customer passes through from the gap of commodity and effective sub- cog region, as customer and commodity in effective sub- cog region
When minimum spacing is less than or equal to preset value, its action is judged for intervention action, otherwise, judges its action for non-intervention action；
Entering order acquisition module, the sequence for obtaining customer into effective sub- cog region on effective mobile route；
Sequence acquisition module is exited, the sequence of effective sub- cog region on effective mobile route is exited for obtaining customer；
Apart from acquisition module, for each of obtaining on effective mobile route effectively sub- cog region to effective mobile route starting point
Distance；
Residence time acquisition module, for obtaining customer in the stop of effective sub- cog region each of on effective mobile route
Between；
Detection module is iterated through, for determining effective sub- cog region and iterate through this that effective mobile route iterates through
The number of effective sub- cog region；
Candidate intention assessment area judgment module, for entering the suitable of effective sub- cog region on effective mobile route according to customer
Sequence, customer exit the sequence of effective sub- cog region on effective mobile route, effective sub- identification each of on effective mobile route
Area to the distance of effective mobile route starting point, customer each of on effective mobile route the residence time of effective sub- cog region and
Effective sub- cog region that effective mobile route iterates through and the number for iterating through the effective sub- cog region, judge to make a reservation for
The candidate intention assessment area of quantity；
Intention assessment area judgment module, for judging intention assessment area in the candidate intention assessment area of predetermined quantity；
Merchandise news display module, the information for showing intention commodity in intention assessment area to customer.
2. the merchandise sales auxiliary system of view-based access control model identification technology as described in claim 1, which is characterized in that cog region mark
Cover half block is using two dimensional image feature detection algorithm or three-dimensional depth map feature detection algorithm calibration cog region and sub- cog region.
3. the merchandise sales auxiliary system of view-based access control model identification technology as described in claim 1, which is characterized in that cog region figure
As acquisition module is realized using 2D cameras or 3D cameras.
4. the merchandise sales auxiliary system of view-based access control model identification technology as described in claim 1, which is characterized in that candidate is intended to
Cog region judgment module judges the candidate intention assessment area of predetermined quantity according to the decision-tree model of built in advance.
5. the merchandise sales auxiliary system of view-based access control model identification technology as described in claim 1, which is characterized in that intention assessment
Probability statistics model or deep learning model classifiers of area's judgment module based on built in advance judge intention assessment area.
6. the merchandise sales auxiliary system of view-based access control model identification technology as described in claim 1, which is characterized in that the commodity
Sale auxiliary system further includes：
Into detection module, for according to cog region image, detection customer to enter the action of cog region and sub- cog region, and records
Cog region inlet point and sub- cog region inlet point；
Detection module is exited, for according to cog region image, detection customer to exit the action of cog region and sub- cog region, and records
Cog region exit point and sub- cog region exit point；
Effective sub- cog region judgment module, the intervention action that customer implements in sub- cog region for identification, and by the sub- cog region
It is judged as effective sub- cog region；
Effectively sub- cog region enter, exit point screening module, for according to effective sub- cog region and sub- cog region inlet point and
Sub- cog region exit point filters out effective sub- cog region inlet point and effective sub- cog region exit point；
Effective mobile route generation module is exited according to cog region inlet point, effectively sub- cog region inlet point, effectively sub- cog region
Point and cog region exit point, generate effective mobile route.
7. the merchandise sales auxiliary system of view-based access control model identification technology as claimed in claim 6, which is characterized in that distance obtains
Module is using the distance of effective sub- cog region inlet point to cog region inlet point as effective sub- cog region to effective mobile route
The distance of starting point.
8. the merchandise sales auxiliary system of view-based access control model identification technology as claimed in claim 7, which is characterized in that
After being intended to cog region judgment module and judging intention assessment area, merchandise news display module plays and intention commodity automatically
The audio and video information to match；
Merchandise news display module is embedded with：
Merchandise news stores submodule, the relevant information for storing commodity in product display zone；
Human-computer interaction submodule is again identified the keyword that customer sends out for first being demarcated to customer's face, and adjusts
Take and feed back the information associated with keyword of intention commodity；
Audio and video information plays control submodule, for feeding back the associated with keyword of intention commodity in human-computer interaction submodule
When information, the broadcasting of intention commodity audio and video information is interrupted, and after the completion of information is fed back, restores broadcasting for intention commodity audio and video information
It puts.
9. the merchandise sales auxiliary system of view-based access control model identification technology as claimed in claim 8, which is characterized in that the commodity
Sale auxiliary system further includes：
Backstage logging modle, for recording the intervention action of customer's implementation, the commodity in effective cog region, candidate intention assessment area
Interior commodity and intention commodity.
10. the merchandise sales auxiliary system of view-based access control model identification technology as claimed in claim 9, which is characterized in that the quotient
Product sale auxiliary system further includes：
Cash register module, the expense for collecting customer's purchase intention commodity；
Commodity lock modules are purchased for lockking every commodity in product display zone in scheduled space, and in customer payment
Intention commodity are unlocked after buying the expense of intention commodity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810391849.4A CN108596673B (en) | 2018-04-27 | 2018-04-27 | Commodity sales auxiliary system based on visual identification technology |
Applications Claiming Priority (1)
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| CN109741216A (en) * | 2019-01-18 | 2019-05-10 | 姜颖健 | A kind of unmanned restaurant method of servicing and system |
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| CN101006445A (en) * | 2004-08-23 | 2007-07-25 | 株式会社流通技术 | Shopping pattern analysis system and method based on RFID |
| CN106921945A (en) * | 2017-02-22 | 2017-07-04 | 上海斐讯数据通信技术有限公司 | The positioning shopping guide method and system of a kind of commodity |
| KR20180010616A (en) * | 2016-07-21 | 2018-01-31 | 노스타일 주식회사 | System, Method and Applicattion for recommending product |
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| CN101006445A (en) * | 2004-08-23 | 2007-07-25 | 株式会社流通技术 | Shopping pattern analysis system and method based on RFID |
| KR20180010616A (en) * | 2016-07-21 | 2018-01-31 | 노스타일 주식회사 | System, Method and Applicattion for recommending product |
| CN106921945A (en) * | 2017-02-22 | 2017-07-04 | 上海斐讯数据通信技术有限公司 | The positioning shopping guide method and system of a kind of commodity |
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| CN109741216A (en) * | 2019-01-18 | 2019-05-10 | 姜颖健 | A kind of unmanned restaurant method of servicing and system |
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