CN108765797A - A kind of supermarket market automatic identification is weighed settlement method and system - Google Patents
A kind of supermarket market automatic identification is weighed settlement method and system Download PDFInfo
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- CN108765797A CN108765797A CN201810515804.3A CN201810515804A CN108765797A CN 108765797 A CN108765797 A CN 108765797A CN 201810515804 A CN201810515804 A CN 201810515804A CN 108765797 A CN108765797 A CN 108765797A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/0036—Checkout procedures
- G07G1/0045—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader
- G07G1/0054—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader with control of supplementary check-parameters, e.g. weight or number of articles
- G07G1/0072—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader with control of supplementary check-parameters, e.g. weight or number of articles with means for detecting the weight of the article of which the code is read, for the verification of the registration
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/12—Cash registers electronically operated
- G07G1/14—Systems including one or more distant stations co-operating with a central processing unit
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Abstract
It weighs settlement method and system the invention discloses a kind of supermarket market automatic identification, method includes pre-stored data, gathered data, data processing, Data Matching, clearing of withholing；System includes memory module, image data acquiring module, image data processing module, image data matching module, Weighing module, manual intervention module, judges settlement data generation module and disbursement and sattlement module.The present invention effectively can carry out automatic identification to all kinds of articles in supermarket market, weigh, system intelligent degree is preferable, discrimination is higher, adaptability is stronger, can quickly Coping with Reality operation in various fortuitous events, reduce bulk product wait for weigh and clearing time, improve the accuracy of settlement efficiency and data, the time cost of customer and seller are reduced, there is higher practical value and is widely applied foreground.
Description
Technical field
The present invention relates to Automated Clearing House system technical fields, and in particular to a kind of supermarket market automatic identification is weighed clearing side
Method and system.
Background technology
In the prior art, either most of packaged commodity can all have bar code or identifier in market for supermarket, tie
Direct labor is scanned when account, but also has the needs such as many veterinary antibiotics, food in bulk or articles for use in bulk manually to know
Not, it is lined up and weighs, this by way of manual record, not only working efficiency is low, and easily goes wrong.With image recognition
The development of technology also has and applies image recognition technology on article is weighed, but applies less on bulk product a, side
Face bulk product type is more, shape is indefinite, it is difficult to effectively judge, especially how bulk product ensures that consistency can not solve
Certainly, the problem of on the other hand how avoiding the error in practical operation, and the correction of suspect results be also intended to pay attention to.
Existing checkout mode is usually that cashier one by one from tape label or load weighted inside mark by items scanning simultaneously
Label, the information of another sentence commodity knows the price of commodity, then the amount of consumption of purchased commodity is added up, and consumer is finally according to accumulative
Total value paid, this payment is more troublesome, and is also wasted time.
In addition market and Supermarket management personnel sell how many to article in the prior art, and the turnover is how many, profit is how many, deposits
How much goods is required for greatly manually checking calculating, and the efficiency of management is too low, needs to improve.
Invention content
In view of the deficiencies of the prior art, the present invention provides a kind of supermarket market automatic identification and weighs settlement method, the supermarket
Market automatic identification weigh settlement method can effectively in supermarket market all kinds of articles carry out automatic identification, weigh, system
Intelligence degree is preferable, and discrimination is higher, adapts to new relatively strong, various fortuitous events that can quickly in Coping with Reality operation, subtracts
Bulk product is lacked and has waited for the time for weighing and settling accounts, improved the accuracy of settlement efficiency and data, has reduced customer and sell
The time cost of family has higher practical value and is widely applied foreground.
The present invention solves technical problem and adopts the following technical scheme that：
It weighs settlement method, includes the following steps the present invention provides a kind of supermarket market automatic identification：
S1, by supermarket's market article according to whether need weigh calculate price category be bulk product and at suit article,
It will be accorded at the recognizable price sign being fixedly installed on suit article；
S2, it is pre-stored each bulk product 3 d image data and corresponding monovalent data P, and to bulk product three
Dimensional data image extracts the characteristics of image number including color characteristic, textural characteristics, shape feature using image recognition algorithm
According to formation bulk product database；
S3, acquisition bulk product 3 d image data to be weighed carry out the image data of acquisition to include scaling, enhancing pair
Than the image preprocessing including degree, reduction noise；
S4, its weight is weighed while acquiring bulk product 3 d image data to be weighed, obtains bulk product weight
Data G is for use；
S5, image feature data extraction is carried out to pretreated image data in S2 with identical image recognition algorithm,
And image feature data will be extracted and carry out data with the correspondence image characteristic that each bulk product pre-stored in S1 is extracted
Matching is compared, then the data D after matching is carried out bubbling algorithm sequence, obtains maximum matched data D as Data Matching degree
M；
The calculation formula of wherein data D is：D=X1S+X2B+X3E, wherein S represents color characteristic score, B textural characteristics
Score, E represent shape feature score, X1、X2And X3Respectively represent the weight of color characteristic, textural characteristics and shape feature；And lead to
Cross best value and absolute reference threshold value Y and the optimal value that can refer to threshold value T that genetic algorithm calculates X1, X2 and X3；
It is if S6, Data Matching degree M are more than or equal to preset absolute reference threshold value Y, the matching degree is associated pre-stored
The corresponding unit price data P of bulk product is multiplied to obtain bulk product settlement data R1 with weight data G；
If Data Matching degree M is less than absolute reference threshold value Y and more than or equal to can refer to threshold value T, artificial identification clothes are triggered
Business, while by prestore saving article 3-D view and the bulk product graphics to be weighed of first three of matched data value ranking in S4
As data transmission is to be determined to artificial identification terminal etc., when received in the predetermined time manually identifying of feeding back to as a result, then
The corresponding unit price data P of the associated pre-stored bulk product of result is multiplied with weight data G to obtain settlement data R, when predetermined
It is not received by feedback result in time, then triggers manual site's Identification Service, it is whole to manual site's service to send position code
End waits for scene to determine bulk product unit price data P to be weighed, then monovalent data P is multiplied to obtain bulk with weight data G
Product settlement data R1；
If Data Matching degree M, which is less than, can refer to threshold value T, manual site's Identification Service is triggered, sends position code to people
Work field service terminal waits for scene to determine bulk product unit price data P to be weighed, then by monovalent data P and weight data G phases
It is multiplied to arrive bulk product settlement data R1；
S7, it is scanned on suit article corresponding recognizable price sign symbol is fixedly installed, it is cumulative to obtain into suit article
Settlement data R2；
S8, bulk product settlement data R1 is summed to obtain settlement data R and is transmitted at suit item checkout data R2
To customer payment system, according to authorizing classification that customer is waited for select the means of payment or directly withhold, while by payment information with
Item Information is shown to customer in real time.
Preferably, described image recognizer is FastICA algorithms, algorithm and SVM algorithm based on OpenCV function libraries
In one kind.
Preferably, further include in step s 5：When thering is some or multiple articles to carry in same batch bulk product to be weighed
When the image feature data taken and the image feature data deviation value of batch bulk product extraction to be weighed are more than predetermined threshold,
It is determined as abnormal conditions, and triggers manual site's Identification Service, waits for manual site's identification.
It weighs settlement system the present invention also provides a kind of supermarket market automatic identification, including：
Memory module, for be pre-stored into the recognizable price sign symbol that is fixedly installed on suit article it is associated include
Including price category at suit Item Information, each bulk product 3 d image data and corresponding monovalent data P, together
When storage using image recognition algorithm to bulk product 3 d image data extract including color characteristic, textural characteristics, shape
Image feature data including feature is to form bulk product database；
Image data acquiring module, for acquiring each bulk product 3 d image data in advance and acquiring in real time to be weighed
Bulk product 3 d image data is simultaneously sent into image data processing module waiting data processing, is additionally operable to be scanned on suit article
The recognizable price sign symbol of fixed setting transfers storage into suit product data information, obtains into suit item checkout data
R2, and data R2 feedings are judged that settlement data generation module etc. is pending；
Weighing module, weight data G for weighing bulk product in real time are simultaneously sent at the pending datas such as memory module storage
Reason；
Image data processing module is wrapped for transferring the 3 d image data in memory module, then to image data
The image preprocessing including scaling, enhancing contrast, reduction noise is included, and image spy is carried out to pretreated image data
Data extraction is levied, and the image feature data after extraction is sent into memory module storage or feeding image data matching module etc.
It is pending；
Image data matching module, the bulk product characteristics of image number to be weighed for handling data processing module
According to acquire in advance each bulk product correspondence image characteristic carry out Data Matching comparison, then by the data D after matching into
Row bubbling algorithm sorts, and obtains maximum matched data D as Data Matching degree M；
Image data matching module further includes Data Computation Unit, and the Data Computation Unit is for calculating matched data
The calculation formula of D, the matched data D is：D=X1S+X2B+X3E, wherein S represents color characteristic score, and B textural characteristics obtain
Point, E represents shape feature score, X1、X2And X3Respectively represent the weight of color characteristic, textural characteristics and shape feature；Pass through something lost
Propagation algorithm calculates X1、X2And X3Best value；
Manual intervention module, including artificial identification terminal and manual site's service terminal judge that settlement data is given birth to for working as
At Data Matching degree M in module less than absolute reference threshold value Y and when can refer to threshold value T or other abnormal conditions occur, manually
Intervention is handled so that judges that settlement data generation module can accurately obtain settlement data R；
Judge settlement data generation module, the Data Matching degree M for handling image data matching module with it is pre-
If the absolute reference threshold value Y being calculated by genetic algorithm and can refer to threshold value T and be compared：If Data Matching degree M is big
In equal to preset absolute reference threshold value Y, then by the corresponding unit price data P of the associated pre-stored bulk product of the matching degree with again
Amount data G is multiplied to obtain bulk product settlement data R1；If Data Matching degree M is less than absolute reference threshold value Y and more than or equal to can
Reference threshold T, then by prestore saving article 3-D view and the bulk product to be weighed of first three of matched data value ranking in S4
3 d image data is sent to that artificial identification terminal etc. is to be determined, when receiving the knot manually identified fed back in the predetermined time
The corresponding unit price data P of the associated pre-stored bulk product of result is then multiplied to obtain bulk product clearing with weight data G by fruit
Data R1 then triggers manual site's Identification Service when being not received by feedback result in the predetermined time, sends position code to people
Work field service terminal waits for scene to determine bulk product unit price data P to be weighed, then by monovalent data P and weight data G phases
It is multiplied to arrive settlement data R；If Data Matching degree M, which is less than, can refer to threshold value T, manual site's Identification Service is triggered, sends position
Code waits for scene to determine bulk product unit price data P to be weighed, then by monovalent data P and again to manual site's service terminal
Amount data G is multiplied to obtain bulk product settlement data R1；Simultaneously by reception at suit be sent into item checkout data R2 with it is in bulk
It is pending that item checkout data R1 processing obtains settlement data R feeding disbursement and sattlement modules etc.；
Disbursement and sattlement module, for according to judging that the settlement data R that settlement data generation module obtains is connected to Gu immediately
Objective payment system, according to authorizing classification that customer is waited for select the means of payment or directly to withhold, while by payment information and article
Information is shown to customer in real time.
Preferably, described image data acquisition module is additionally provided with LED Intelligent supplemental lighting modules.
Preferably, the artificial identification terminal be include display module and in real time can interactive module, the display module uses
Ranking prestore saving article 3-D view and the bulk product 3 d image data to be weighed of first three, the reality are shown in receiving
When can interactive module be used for the matched saving product data that prestores of artificial judgment bulk product to be weighed, and result is fed back to and is sentenced
Disconnected settlement data generation module.
Preferably, manual site's service terminal includes voice interaction module, intelligent mobile control terminal module, described
Voice interaction module for carrying out speech exchange and obtaining Site Service position code in real time, and the intelligent mobile control is eventually
End module determines that bulk product unit price data P to be weighed and other include dissipating the exception for claiming article inconsistent for scene inquiry
Situation.
Preferably, the mandate classification in the customer payment system includes authentication module, member's card identification apparatus, refers to
One or more of line identification device, speech recognition equipment, face authentification device.
Preferably, further include that Item Information summarizes feedback module, the Item Information summarizes that feedback module is pre-stored to include
At the information bank including the quantity of suit article and each bulk product, weight, purchasing price, operating income, according to the frequency of setting
That processing obtains in reception expense settlement module includes delicate data G and settlement data R, and in real-time update information bank
At suit article and each bulk product quantity, weight, purchasing price, operating income relevant information.
Preferably, the disbursement and sattlement module is connect by network communication equipment with customer payment system immediately, the net
Network communication equipment is using one or more of NFC, bluetooth, WIFI, UWB data transmission technology equipment.
Compared with prior art, the present invention has following advantageous effect：
(1) a kind of supermarket market automatic identification of the invention weighs settlement method by acquiring the image data of bulk product
And compared with pre-stored bulk product 3-D view, existed by the color characteristic, textural characteristics, shape feature of extraction
Interior image feature data arrives matched data by specific calculation formula, sorts using algorithm and is accurately counted
The reference threshold for comparison is obtained according to matching degree, while using genetic algorithm, the kind of bulk product is very accurately determined
Class, and then its associated monovalent data are obtained, then the result of automatic weighing is coordinated to obtain its settlement data, it is automatically mapped to payment
System, to realize fast and accurately identification and the clearing of automatic intelligent；In addition artificial supplementation, correction have been specifically incorporated
The step of, by the trigger condition of setting, it ensure that when automatic identification degree is not high, result leaves a question open, timely take people
Work backstage is intervened and manual site intervenes, and be ensure that the most quasi- weighing clearing accuracy of bulk product, is passed through this dual fail-safe
Processing and coherent and seamless combination identification method so that natural and tripping during Automatic-settlement, customer will not experience too
Big difference forms good service experience, greatly improves working efficiency and has saved valuable time.
(2) a kind of supermarket market automatic identification of the invention settlement method of weighing is also provided with the inconsistent feelings of bulk product
Condition intervening measure passes through the image for extracting each image feature data in bulk product and batch bulk product to be weighed
Characteristic is compared, and sets deviation value threshold value, to found the abnormal situation in time, then the method for taking manual intervention, Du
Absolutely bulk product load in mixture caused by error and dispute, effectively increase the actual application ability for settlement method of weighing.
(3) a kind of supermarket market automatic identification of the invention is weighed settlement system, passes through the memory module of setting, picture number
According to acquisition module, image data processing module, image data matching module, Weighing module, manual intervention module, judge clearing number
According to generation module and disbursement and sattlement module, realizes and effectively identification, intelligent data processing, artificial intelligence are carried out for bulk product
The dicision rules and the diversified clearing means of payment of automation of energy double combination complementation, greatly improve in the supermarket of market and dissipate
The efficiency weighed, settled accounts for filling article, simplifies method of payment, improves work efficiency.
(4) a kind of supermarket market automatic identification of the invention Item Information also set up in settlement system of weighing summarizes feedback
Module will can comprehensively and effectively sell and carry out induction and conclusion, real-time update data at suit article and bulk product information
Library, accurately reaction is complete to open up at relevant informations such as quantity, weight, purchasing price, the operating incomes of suit article and bulk product
Showed market supermarket inventory, avoid it is artificial check, saved cost and improved efficiency.
(5) a kind of supermarket market automatic identification of the invention image data acquiring module in settlement system of weighing is additionally provided with
LED Intelligent supplemental lighting modules, can in illumination deficiency automatic light-supplementing, effectively raise the accurate and clear journey of the image of acquisition
Degree.
(6) a kind of supermarket market automatic identification of the invention weigh the setting in settlement system artificial identification terminal and people
Work field service terminal can as needed real-time effective solution it is any suspicious or burst situation, substantially increase system
Adaptability and practical application ability.
(7) a kind of supermarket market automatic identification of the invention is weighed the disbursement and sattlement module in settlement system, using clearing
Data are connected to customer payment system immediately, while it includes authentication module, member's card identification apparatus, fingerprint recognition dress to use
It sets, any one progress authority to pay in speech recognition equipment, face authentification device, effectively raises the convenient journey of payment
Degree, reduces cost of labor.
(8) a kind of supermarket market automatic identification of the invention weigh settlement system by Kit and bulk product using not
Same payment mode of weighing, solves the settling problems of all cargos in supermarket market, while having distinguished different demands, simplifies
The complexity of system, takes full advantage of existing identifier, has reached comprehensive covering, during can reducing system Construction
Technical risk, be attached with other systems with being also convenient for and data exchange.
(9) a kind of supermarket market automatic identification of the invention weigh settlement method and system can be effectively in supermarket market
All kinds of articles carry out automatic identification, weigh, system intelligent degree is preferable, and discrimination is higher, adapt to it is new relatively strong, can be quick
Various fortuitous events in Coping with Reality operation reduce bulk product and wait for the time for weighing and settling accounts, and improve clearing effect
The accuracy of rate and data reduces the time cost of customer and seller, before having higher practical value and being widely applied
Scape.
Description of the drawings
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon：
Fig. 1 is that a kind of supermarket market automatic identification of the present invention is weighed settlement method flow chart；
Fig. 2 is that a kind of supermarket market automatic identification of the present invention is weighed the specific method flow of step S6 in settlement method
Figure；
Fig. 3 is that a kind of supermarket market automatic identification of the present invention is weighed the structural schematic diagram of settlement system.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figs. 1-3, a kind of supermarket market automatic identification of the present embodiment is weighed settlement method, is included the following steps：
S1, by supermarket's market article according to whether need weigh calculate price category be bulk product and at suit article,
It will be accorded at the recognizable price sign being fixedly installed on suit article；
S2, it is pre-stored each bulk product 3 d image data and corresponding monovalent data P, and to bulk product three
Dimensional data image extracts the characteristics of image number including color characteristic, textural characteristics, shape feature using image recognition algorithm
According to formation bulk product database；
S3, acquisition bulk product 3 d image data to be weighed carry out the image data of acquisition to include scaling, enhancing pair
Than the image preprocessing including degree, reduction noise；
S4, its weight is weighed while acquiring bulk product 3 d image data to be weighed, obtains bulk product weight
Data G is for use；
S5, image feature data extraction is carried out to pretreated image data in S2 with identical image recognition algorithm,
And image feature data will be extracted and carry out data with the correspondence image characteristic that each bulk product pre-stored in S1 is extracted
Matching is compared, then the data D after matching is carried out bubbling algorithm sequence, obtains maximum matched data D as Data Matching degree
M；
The calculation formula of wherein data D is：D=X1S+X2B+X3E, wherein S represents color characteristic score, B textural characteristics
Score, E represent shape feature score, X1、X2And X3Respectively represent the weight of color characteristic, textural characteristics and shape feature；And lead to
Cross best value and absolute reference threshold value Y and the optimal value that can refer to threshold value T that genetic algorithm calculates X1, X2 and X3；
It is if S6, Data Matching degree M are more than or equal to preset absolute reference threshold value Y, the matching degree is associated pre-stored
The corresponding unit price data P of bulk product is multiplied to obtain bulk product settlement data R1 with weight data G；
If Data Matching degree M is less than absolute reference threshold value Y and more than or equal to can refer to threshold value T, artificial identification clothes are triggered
Business, while by prestore saving article 3-D view and the bulk product graphics to be weighed of first three of matched data value ranking in S4
As data transmission is to be determined to artificial identification terminal etc., when received in the predetermined time manually identifying of feeding back to as a result, then
The corresponding unit price data P of the associated pre-stored bulk product of result is multiplied with weight data G to obtain settlement data R, when predetermined
It is not received by feedback result in time, then triggers manual site's Identification Service, it is whole to manual site's service to send position code
End waits for scene to determine bulk product unit price data P to be weighed, then monovalent data P is multiplied to obtain bulk with weight data G
Product settlement data R1；
If Data Matching degree M, which is less than, can refer to threshold value T, manual site's Identification Service is triggered, sends position code to people
Work field service terminal waits for scene to determine bulk product unit price data P to be weighed, then by monovalent data P and weight data G phases
It is multiplied to arrive bulk product settlement data R1；
S7, it is scanned on suit article corresponding recognizable price sign symbol is fixedly installed, it is cumulative to obtain into suit article
Settlement data R2；
S8, bulk product settlement data R1 is summed to obtain settlement data R and is transmitted at suit item checkout data R2
To customer payment system, according to authorizing classification that customer is waited for select the means of payment or directly withhold, while by payment information with
Item Information is shown to customer in real time.
Image recognition algorithm in the present embodiment is FastICA algorithms, algorithm and SVM algorithm based on OpenCV function libraries
In one kind.
The present embodiment further includes in step s 5：When thering is some or multiple articles to carry in same batch bulk product to be weighed
When the image feature data taken and the image feature data deviation value of batch bulk product extraction to be weighed are more than predetermined threshold,
It is determined as abnormal conditions, and triggers manual site's Identification Service, waits for manual site's identification.
A kind of supermarket market automatic identification of the present embodiment is weighed settlement system, including memory module, image data acquiring
Module, image data matching module, Weighing module, manual intervention module, judges that settlement data generates at image data processing module
Module and disbursement and sattlement module；
The memory module is used to be pre-stored into associated by the recognizable price sign symbol being fixedly installed on suit article
Including price category at suit Item Information, each bulk product 3 d image data and corresponding monovalent data
P, at the same store using image recognition algorithm to bulk product 3 d image data extract include color characteristic, textural characteristics,
Image feature data including shape feature is to form bulk product database；
Described image data acquisition module is waited for for acquiring each bulk product 3 d image data and acquisition in real time in advance
Weigh bulk product 3 d image data and be sent into image data processing module wait for data processing, be additionally operable to be scanned into suit object
The recognizable price sign symbol being fixedly installed on product transfers storage into suit product data information, obtains into suit item checkout
Data R2, and data R2 feedings are judged that settlement data generation module etc. is pending；
The Weighing module for weighing the weight data G of bulk product and being sent into the pending datas such as memory module storage in real time
Processing；
Described image data processing module is used to transfer the 3 d image data in memory module, then is carried out to image data
Image preprocessing including scaling, enhancing contrast, reduce noise, and image is carried out to pretreated image data
Characteristic is extracted, and the image feature data after extraction is sent into memory module storage or is sent into image data matching module
Etc. pending；
The bulk product image to be weighed that described image data match module is used to handle data processing module is special
Sign data and the correspondence image characteristic for acquiring each bulk product in advance carry out Data Matching comparison, then by the data after matching
D carries out bubbling algorithm sequence, obtains maximum matched data D as Data Matching degree M；
Described image data match module further includes Data Computation Unit, and the Data Computation Unit is for calculating coupling number
According to D, the calculation formula of the matched data D is：D=X1S+X2B+X3E, wherein S represents color characteristic score, B textural characteristics
Score, E represent shape feature score, X1、X2And X3Respectively represent the weight of color characteristic, textural characteristics and shape feature；And lead to
Cross best value and absolute reference threshold value Y and the optimal value that can refer to threshold value T that genetic algorithm calculates X1, X2 and X3；
The manual intervention module includes artificial identification terminal and manual site's service terminal, judges settlement data for working as
Data Matching degree M is less than absolute reference threshold value Y and when can refer to threshold value T or other abnormal conditions occur in generation module, people
Work intervention is handled so that judges that settlement data generation module can accurately obtain settlement data R；
It is described judge settlement data generation module be used for the Data Matching degree M that handles image data matching module with
The preset absolute reference threshold value Y being calculated by genetic algorithm and it can refer to threshold value T and be compared：If Data Matching degree M
More than or equal to preset absolute reference threshold value Y, then by the corresponding unit price data P of the associated pre-stored bulk product of the matching degree with
Weight data G is multiplied to obtain bulk product settlement data R1；If Data Matching degree M is less than absolute reference threshold value Y and is more than or equal to
Threshold value T is can refer to, then by prestore saving article 3-D view and the bulk to be weighed of first three of matched data value ranking in S4
Product 3 d image data is sent to that artificial identification terminal etc. is to be determined, when receiving manually identifying of feeding back in the predetermined time
As a result, then the corresponding unit price data P of the associated pre-stored bulk product of result is multiplied to obtain bulk product knot with weight data G
It counts according to R1, when being not received by feedback result in the predetermined time, then triggers manual site's Identification Service, send position code extremely
Manual site's service terminal waits for scene to determine bulk product unit price data P to be weighed, then by monovalent data P and weight data G
Multiplication obtains settlement data R；If Data Matching degree M, which is less than, can refer to threshold value T, manual site's Identification Service is triggered, sends position
Code is set to manual site's service terminal, scene is waited for determine bulk product unit price data P to be weighed, then by monovalent data P with
Weight data G is multiplied to obtain bulk product settlement data R1；Reception is sent into item checkout data R2 and dissipated at suit simultaneously
It is pending that dress item checkout data R1 processing obtains settlement data R feeding disbursement and sattlement modules etc.；
The disbursement and sattlement module is used for according to judging that the settlement data R that settlement data generation module obtains is connected to immediately
Customer payment system, according to authorizing classification that customer is waited for select the means of payment or directly to withhold, while by payment information and object
Product information is shown to customer in real time.
Image data acquiring module in the present embodiment is additionally provided with LED Intelligent supplemental lighting modules.
Artificial identification terminal in the present embodiment be include display module and in real time can interactive module, the display module uses
Ranking prestore saving article 3-D view and the bulk product 3 d image data to be weighed of first three, the reality are shown in receiving
When can interactive module be used for the matched saving product data that prestores of artificial judgment bulk product to be weighed, and result is fed back to and is sentenced
Disconnected settlement data generation module.
Manual site's service terminal in the present embodiment includes voice interaction module, intelligent mobile control terminal module, institute
Voice interaction module is stated for carrying out speech exchange and acquisition Site Service position code, the intelligent mobile control in real time
Terminal module determines that bulk product unit price data P to be weighed and other include dissipating claim article inconsistent different for scene inquiry
Reason condition.
The mandate classification in customer payment system in the present embodiment include authentication module, member's card identification apparatus,
One or more of fingerprint identification device, speech recognition equipment, face authentification device.
Supermarket's market automatic identification in the present embodiment settlement system of weighing further includes that Item Information summarizes feedback module, institute
It states Item Information and summarizes the pre-stored quantity for including into suit article and each bulk product of feedback module, weight, purchasing price, business receipts
Information bank including entering, according in the frequency reception disbursement and sattlement module of setting processing obtain include delicate data
G and settlement data R, and quantity, weight, purchasing price, the business at suit article and each bulk product in real-time update information bank
Take in relevant information.
Disbursement and sattlement module in the present embodiment is connect by network communication equipment with customer payment system immediately, the net
Network communication equipment is using one or more of NFC, bluetooth, WIFI, UWB data transmission technology equipment.
A kind of supermarket market automatic identification of the present invention weighs settlement method and system can be effectively in supermarket market
Bulk product carries out automatic identification, weighs, and system intelligent degree is preferable, and discrimination is higher, adapts to newly relatively by force, can quickly locate
The various fortuitous events in real operation are managed, reduces bulk product and waits for the time for weighing and settling accounts, improve settlement efficiency
With the accuracy of data, the time cost of customer and seller are reduced, there is higher practical value and is widely applied foreground.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Profit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent requirements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiment being appreciated that.
Claims (10)
- The settlement method 1. a kind of supermarket market automatic identification is weighed, which is characterized in that include the following steps：S1, by supermarket's market article, according to whether needing to weigh, to calculate price category be bulk product and at suit article, will be at Identifiable price sign symbol is fixedly installed on suit article；S2, it is pre-stored each bulk product 3 d image data and corresponding monovalent data P, and to bulk product graphics As data extract the image feature data including color characteristic, textural characteristics, shape feature, shape using image recognition algorithm At bulk product database；S3, acquisition bulk product 3 d image data to be weighed carry out the image data of acquisition to include scaling, enhancing comparison Image preprocessing including degree, reduction noise；S4, its weight is weighed while acquiring bulk product 3 d image data to be weighed, obtains bulk product weight data G For use；S5, image feature data extraction is carried out to pretreated image data in S2 with identical image recognition algorithm, and will Extraction image feature data carries out Data Matching with the correspondence image characteristic that each bulk product being pre-stored in S1 is extracted Compare, then the data D after matching is subjected to bubbling algorithm sequence, obtains maximum matched data D as Data Matching degree M；The calculation formula of wherein data D is：D=X1S+X2B+X3E, wherein S represents color characteristic score, B textural characteristics scores, E represents shape feature score, X1、X2And X3Respectively represent the weight of color characteristic, textural characteristics and shape feature；And pass through something lost Propagation algorithm calculates the best value and absolute reference threshold value Y and the optimal value that can refer to threshold value T of X1, X2 and X3；It is if S6, Data Matching degree M are more than or equal to preset absolute reference threshold value Y, the matching degree is associated pre-stored in bulk The corresponding unit price data P of article is multiplied to obtain bulk product settlement data R1 with weight data G；If Data Matching degree M is less than absolute reference threshold value Y and more than or equal to can refer to threshold value T, artificial Identification Service is triggered, together When by prestore saving article 3-D view and the bulk product 3-D view number to be weighed of first three of matched data value ranking in S4 According to being sent to, artificial identification terminal etc. is to be determined, when received in the predetermined time manually identifying of feeding back to as a result, then will knot The corresponding unit price data P of the associated pre-stored bulk product of fruit is multiplied to obtain settlement data R with weight data G, works as the predetermined time It is inside not received by feedback result, then triggers manual site's Identification Service, sends position code to manual site's service terminal, etc. The scene of waiting for determines bulk product unit price data P to be weighed, then monovalent data P is multiplied with weight data G to obtain bulk product knot It counts according to R1；If Data Matching degree M, which is less than, can refer to threshold value T, manual site's Identification Service is triggered, position code is sent and shows to artificial Field service terminal, waits for scene to determine bulk product unit price data P to be weighed, then monovalent data P and weight data G phases is multiplied To bulk product settlement data R1；S7, it is scanned on suit article corresponding recognizable price sign symbol is fixedly installed, it is cumulative to obtain into suit item checkout Data R2；S8, bulk product settlement data R1 is summed to obtain settlement data R and is transferred to Gu at suit item checkout data R2 Objective payment system, according to authorizing classification that customer is waited for select the means of payment or directly to withhold, while by payment information and article Information is shown to customer in real time.
- The settlement method 2. a kind of supermarket market automatic identification according to claim 1 is weighed, which is characterized in that described image Recognizer is one kind in FastICA algorithms, algorithm and SVM algorithm based on OpenCV function libraries.
- The settlement method 3. a kind of supermarket market automatic identification according to claim 1 is weighed, which is characterized in that in step S5 In further include：When the image feature data and the batch for having some or the extraction of multiple articles in same batch bulk product to be weighed When the image feature data deviation value of bulk product extraction to be weighed is more than predetermined threshold, it is determined as abnormal conditions, and trigger people Work situ appraisal service waits for manual site's identification.
- The settlement system 4. a kind of supermarket market automatic identification is weighed, which is characterized in that including：Memory module, for be pre-stored into the recognizable price sign symbol that is fixedly installed on suit article it is associated include price Including classification at suit Item Information, each bulk product 3 d image data and corresponding monovalent data P, deposit simultaneously Storage using image recognition algorithm to bulk product 3 d image data extract including color characteristic, textural characteristics, shape feature Image feature data inside is to form bulk product database；Image data acquiring module, for acquiring each bulk product 3 d image data in advance and acquiring in real time to be weighed in bulk Article 3 d image data is simultaneously sent into image data processing module waiting data processing, is additionally operable to be scanned into fixed on suit article The recognizable price sign symbol being arranged transfers storage into suit product data information, obtains into suit item checkout data R2, and Data R2 feedings are judged that settlement data generation module etc. is pending；Weighing module, weight data G for weighing bulk product in real time are simultaneously sent into memory module storage and wait for data processing；Image data processing module carries out including contracting for transferring the 3 d image data in memory module, then to image data It puts, enhance contrast, reducing the image preprocessing including noise, and characteristics of image number is carried out to pretreated image data According to extraction, and the image feature data after extraction is sent into memory module storage or is sent at image data matching module waiting Reason；Image data matching module, bulk product image feature data to be weighed for handling data processing module with The correspondence image characteristic for acquiring each bulk product in advance carries out Data Matching comparison, then the data D after matching is emitted Algorithm sequence is steeped, obtains maximum matched data D as Data Matching degree M；Image data matching module further includes Data Computation Unit, and the Data Computation Unit is for calculating matched data D, institute The calculation formula for stating matched data D is：D=X1S+X2B+X3E, wherein S represents color characteristic score, B textural characteristics scores, E Represent shape feature score, X1、X2And X3Respectively represent the weight of color characteristic, textural characteristics and shape feature；And pass through heredity Algorithm calculates the best value and absolute reference threshold value Y and the optimal value that can refer to threshold value T of X1, X2 and X3；Manual intervention module, including artificial identification terminal and manual site's service terminal judge that settlement data generates mould for working as Data Matching degree M is less than absolute reference threshold value Y and when can refer to threshold value T or other abnormal conditions occur in block, manpower intervention Processing so that judge that settlement data generation module can accurately obtain settlement data R；Judge settlement data generation module, the Data Matching degree M for handling image data matching module with it is preset The absolute reference threshold value Y that is calculated by genetic algorithm and it can refer to threshold value T and be compared：If Data Matching degree M be more than etc. In preset absolute reference threshold value Y, then by the corresponding unit price data P of the associated pre-stored bulk product of the matching degree and weight number It is multiplied to obtain bulk product settlement data R1 according to G；It can refer to if Data Matching degree M is less than absolute reference threshold value Y and is more than or equal to Threshold value T, then by prestore saving article 3-D view and the bulk product to be weighed three-dimensional of first three of matched data value ranking in S4 Image data is sent to that artificial identification terminal etc. is to be determined, when received in the predetermined time manually identifying of feeding back to as a result, Then the corresponding unit price data P of the associated pre-stored bulk product of result is multiplied obtain bulk product with weight data G and settles accounts number According to R1, when being not received by feedback result in the predetermined time, then manual site's Identification Service is triggered, send position code to artificial Field service terminal waits for scene to determine bulk product unit price data P to be weighed, then monovalent data P is multiplied with weight data G Obtain settlement data R；If Data Matching degree M, which is less than, can refer to threshold value T, manual site's Identification Service is triggered, sends position generation Code waits for scene to determine bulk product unit price data P to be weighed to manual site's service terminal, then by monovalent data P and weight Data G is multiplied to obtain bulk product settlement data R1；Reception is sent into item checkout data R2 and bulk at suit simultaneously It is pending that product settlement data R1 processing obtains settlement data R feeding disbursement and sattlement modules etc.；Disbursement and sattlement module, for according to judging that the settlement data R that settlement data generation module obtains is connected to customer's branch immediately The system of paying, according to authorizing classification that customer is waited for select the means of payment or directly to withhold, while by payment information and Item Information It is shown in real time to customer.
- The settlement system 5. a kind of supermarket market automatic identification according to claim 4 is weighed, which is characterized in that described image Data acquisition module is additionally provided with LED Intelligent supplemental lighting modules.
- The settlement system 6. a kind of supermarket market automatic identification according to claim 4 is weighed, which is characterized in that described artificial Identification terminal be include display module and in real time can interactive module, the display module, which is used to receive, to be shown ranking first three prestores Saving article 3-D view and bulk product 3 d image data to be weighed, it is described in real time can interactive module be used for artificial judgment The matched saving product data that prestores of bulk product to be weighed, and result is fed back to and judges settlement data generation module.
- The settlement system 7. a kind of supermarket market automatic identification according to claim 4 is weighed, which is characterized in that described artificial Field service terminal includes voice interaction module, intelligent mobile control terminal module, and the voice interaction module is for real-time It carries out speech exchange and obtains Site Service position code, the intelligent mobile control terminal module is determined for scene inquiry Bulk product unit price data P to be weighed and other include dissipating to claim article inconsistent abnormal conditions.
- The settlement system 8. a kind of supermarket market automatic identification according to claim 4 is weighed, which is characterized in that the customer Mandate classification in payment system includes authentication module, member's card identification apparatus, fingerprint identification device, speech recognition dress It sets, one or more of face authentification device.
- The settlement system 9. a kind of supermarket market automatic identification according to claim 4 is weighed, which is characterized in that further include object Product information summarizes feedback module, and the Item Information summarizes that feedback module is pre-stored to include into suit article and each bulk product Information bank including quantity, weight, purchasing price, operating income, according to being handled in the frequency reception disbursement and sattlement module of setting That arrive includes delicate data G and settlement data R, and in real-time update information bank at suit article and each bulk product Quantity, weight, purchasing price, operating income relevant information.
- The settlement system 10. a kind of supermarket market automatic identification according to claim 4 is weighed, which is characterized in that described to take It is connect immediately with customer payment system by network communication equipment with settlement module, the network communication equipment is using NFC, indigo plant One or more of tooth, WIFI, UWB data transmission technology equipment.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112116768A (en) * | 2020-09-29 | 2020-12-22 | 魏景波 | Intelligent commodity identification, classification, metering and pricing system |
| CN112307827A (en) * | 2019-07-31 | 2021-02-02 | 梅特勒-托利多(常州)测量技术有限公司 | Object recognition apparatus, system and method |
| CN114429342A (en) * | 2022-01-25 | 2022-05-03 | 深圳市安顺康医疗电子有限公司 | Commodity settlement system based on AI identification |
| CN116721411A (en) * | 2023-02-09 | 2023-09-08 | 浙江由由科技有限公司 | Bulk snack identification method based on machine learning |
| CN116721411B (en) * | 2023-02-09 | 2024-06-04 | 浙江由由科技有限公司 | Bulk snack identification method based on machine learning |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103034839A (en) * | 2012-12-04 | 2013-04-10 | 南京航空航天大学 | Canteen payment system and method based on image recognition technology |
| CN103617681A (en) * | 2013-11-11 | 2014-03-05 | 青岛中科英泰商用系统有限公司 | Supermarket self-service settlement method and device with reminding function and multiple loss prevention measures |
| CN103632460A (en) * | 2013-11-08 | 2014-03-12 | 青岛中科英泰商用系统有限公司 | Supermarket self-service clearing loss prevention method capable of synchronously providing transaction process video for customer |
| CN103632255A (en) * | 2013-11-08 | 2014-03-12 | 青岛中科英泰商用系统有限公司 | Supermarket self-service clearing loss prevention method capable of reminding abnormal transaction tips for customer |
| CN107578584A (en) * | 2017-09-15 | 2018-01-12 | 胡雷刚 | A kind of portable self-help settlement method and its device |
| CN107767590A (en) * | 2016-08-16 | 2018-03-06 | 深圳仪普生科技有限公司 | Automatic identification commercialization bar code electronic scale and Automatic identification method |
| CN107862814A (en) * | 2017-11-01 | 2018-03-30 | 北京旷视科技有限公司 | Automated Clearing House system and automatic settlement method |
-
2018
- 2018-05-25 CN CN201810515804.3A patent/CN108765797A/en not_active Withdrawn
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103034839A (en) * | 2012-12-04 | 2013-04-10 | 南京航空航天大学 | Canteen payment system and method based on image recognition technology |
| CN103632460A (en) * | 2013-11-08 | 2014-03-12 | 青岛中科英泰商用系统有限公司 | Supermarket self-service clearing loss prevention method capable of synchronously providing transaction process video for customer |
| CN103632255A (en) * | 2013-11-08 | 2014-03-12 | 青岛中科英泰商用系统有限公司 | Supermarket self-service clearing loss prevention method capable of reminding abnormal transaction tips for customer |
| CN103617681A (en) * | 2013-11-11 | 2014-03-05 | 青岛中科英泰商用系统有限公司 | Supermarket self-service settlement method and device with reminding function and multiple loss prevention measures |
| CN107767590A (en) * | 2016-08-16 | 2018-03-06 | 深圳仪普生科技有限公司 | Automatic identification commercialization bar code electronic scale and Automatic identification method |
| CN107578584A (en) * | 2017-09-15 | 2018-01-12 | 胡雷刚 | A kind of portable self-help settlement method and its device |
| CN107862814A (en) * | 2017-11-01 | 2018-03-30 | 北京旷视科技有限公司 | Automated Clearing House system and automatic settlement method |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112307827A (en) * | 2019-07-31 | 2021-02-02 | 梅特勒-托利多(常州)测量技术有限公司 | Object recognition apparatus, system and method |
| WO2021017796A1 (en) * | 2019-07-31 | 2021-02-04 | Mettler-Toledo (Changzhou) Measurement Technology Ltd. | Object recognition apparatus, system and method |
| CN112307827B (en) * | 2019-07-31 | 2024-04-26 | 梅特勒-托利多(常州)测量技术有限公司 | Object recognition apparatus, system and method |
| CN112116768A (en) * | 2020-09-29 | 2020-12-22 | 魏景波 | Intelligent commodity identification, classification, metering and pricing system |
| CN114429342A (en) * | 2022-01-25 | 2022-05-03 | 深圳市安顺康医疗电子有限公司 | Commodity settlement system based on AI identification |
| CN116721411A (en) * | 2023-02-09 | 2023-09-08 | 浙江由由科技有限公司 | Bulk snack identification method based on machine learning |
| CN116721411B (en) * | 2023-02-09 | 2024-06-04 | 浙江由由科技有限公司 | Bulk snack identification method based on machine learning |
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