CN108734458A - A kind of supermarket market energy-saving anti-theft automatic identification is weighed settlement method and system - Google Patents
A kind of supermarket market energy-saving anti-theft automatic identification is weighed settlement method and system Download PDFInfo
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- CN108734458A CN108734458A CN201810512541.0A CN201810512541A CN108734458A CN 108734458 A CN108734458 A CN 108734458A CN 201810512541 A CN201810512541 A CN 201810512541A CN 108734458 A CN108734458 A CN 108734458A
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- G—PHYSICS
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- 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
- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
- G06Q20/20—Point-of-sale [POS] network systems
- G06Q20/208—Input by product or record sensing, e.g. weighing or scanner processing
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
- G06V20/36—Indoor scenes
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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
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Abstract
It weighs settlement method and system the invention discloses a kind of supermarket market energy-saving anti-theft 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, additionally it is possible to which the various fortuitous events during quickly discovery pilferage behavior and Coping with Reality operate reduce bulk product and wait for the time for weighing and settling accounts, improve the accuracy of settlement efficiency and data, the time cost for reducing customer and seller simplifies the monitoring cost in supermarket market, has 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 energy-saving anti-theft automatic identification claims
Weight settlement 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 energy-saving anti-theft automatic identification and weighs clearing side
Method, supermarket's market energy-saving anti-theft automatic identification weigh settlement method can effectively in supermarket market all kinds of articles carry out from
Dynamic identification is weighed, and system intelligent degree is preferable, and discrimination is higher, adapt to it is new relatively strong, can be quickly in Coping with Reality operation
Various fortuitous events reduce bulk product and wait for the time for weighing and settling accounts, 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.
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 energy-saving anti-theft 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 identifiable price sign 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 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 customer enter the weight data M1 and identity data in supermarket or market, and storage is for use；
S4, when have article by when triggering identification clearing service, bulk product 3 d image data to be weighed is acquired, to adopting
The image data of collection carries out the image preprocessing including scaling, enhancing contrast, reduction noise；
S5, its weight is weighed while acquiring bulk product 3 d image data to be weighed, obtains bulk product weight
Data G is for use；
S6, 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 S7, 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；
S8, 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；
S9, in acquisition at suit article and while bulk product data to be weighed, acquire customer's weight data M2 and body
Part data, and according to the corresponding weight data M1 of the identification data matches stored in S3, M2 and M1 are made the difference, when difference M is more than
When preset threshold value, manual site's Identification Service is triggered, position code is sent to manual site's service terminal, waits at scene
Reason, is simultaneously emitted by operation stop signal, stops the progress of next step；
S10, when the operation stop signal being not received by S9, by bulk product settlement data R1 at suit article
Settlement data R2 is summed to obtain settlement data R and is transferred to customer payment system, waits for customer to select payment according to classification is authorized
Mode is directly withholdd, while payment information and Item Information being 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 6：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, including memory module, calls out the present invention also provides a kind of supermarket market energy-saving anti-theft automatic identification
Awake signal transmitting module, image data acquiring module, image data processing module, customer data acquisition matching module, picture number
According to matching module, Weighing module, manual intervention module, judge settlement data generation 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；
The wake-up signal sending module be used for when have article needs weigh identification clearing when, to image data acquiring mould
Block, image data matching module, Weighing module, judges settlement data generation module and disbursement and sattlement at image data processing module
Module sends working signal, will be in the dormant image data acquiring module of low-power consumption standby accordingly, at image data
Reason module, Weighing module, judges settlement data generation module and disbursement and sattlement data bits at image data matching module；
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；Pass through
Genetic algorithm calculates X1、X2And X3Best value；
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；
The customer data acquisition module includes Weighing module and identification module, for acquire customer enter supermarket or
The weight data M1 and identity data in person market are sent into memory module storage and acquire customer's weight for use and when commodity are settled accounts
Data M2 simultaneously identifies customer identification, by the weight data M2 of same identity with and M1 make the difference, when difference M be more than preset threshold value
When, manual intervention module is enabled, sends position code to manual site's service terminal, waits for in-situ processing, while to expense knot
It calculates module and sends out operation stop signal；
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.
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, it includes face recognition, member card identification, fingerprint recognition, identity card knowledge that the identification module, which uses,
One or more of other technology；
Mandate classification in the customer payment system includes authentication module, member's card identification apparatus, fingerprint recognition
One or more of device, speech recognition equipment, face authentification device.
Preferably, supermarket market energy-saving anti-theft automatic identification settlement system of weighing further includes that Item Information summarizes feedback
Module, the Item Information summarize the pre-stored quantity for including into suit article and each bulk product of feedback module, weight, into
Information bank including valence, operating income, according to processing in the frequency reception disbursement and sattlement module of setting obtain comprising accurate
Weight data G and settlement data R, and in real-time update information bank at suit article and the quantity of each bulk product, 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 energy-saving anti-theft automatic identification of the invention weighs settlement method by acquiring bulk product
Image data is simultaneously compared with pre-stored bulk product 3-D view, and the color characteristic, textural characteristics, shape of extraction are passed through
Image feature data including shape feature arrives matched data by specific calculation formula, sorts to obtain more using algorithm
Accurate Data Matching degree, while the reference threshold for comparison is obtained using genetic algorithm, it very accurately determines in bulk
The type of article, and then its associated monovalent data are obtained, then the result of automatic weighing is coordinated to obtain its settlement data, it reflects automatically
It is mapped to payment system, to realize fast and accurately identification and the clearing of automatic intelligent；In addition it has been specifically incorporated artificial
It the step of supplement, correction, by the trigger condition of setting, ensure that when automatic identification degree is not high, result leaves a question open, in time
Take that artificial backstage is intervened and manual site intervenes, ensure that accuracy is settled accounts in most accurate weighings of bulk product, pass through this
Kind dual fail-safe processing and coherent and seamless combination identification method so that natural and tripping during Automatic-settlement, customer will not
Too big difference is experienced, good service experience is formed, working efficiency is greatly improved and has saved valuable time.
(2) a kind of supermarket market energy-saving anti-theft automatic identification of the invention settlement method of weighing is also provided with bulk product not
Unanimous circumstances intervening measure, by carrying each image feature data in bulk product and batch bulk product to be weighed
The image feature data taken is compared, and sets deviation value threshold value, to found the abnormal situation in time, then takes manual intervention
Method has prevented error caused by bulk product loads in mixture and dispute, has effectively increased the actual application ability for settlement method of weighing.
(3) a kind of supermarket market energy-saving anti-theft automatic identification of the invention is weighed settlement system, passes through the storage mould of setting
Block, image data acquiring module, image data processing module, image data matching module, Weighing module, manual intervention module,
Judge settlement data generation module and disbursement and sattlement module, realizes and effectively identification, intelligent data are carried out for bulk product
Processing, the dicision rules of artificial intelligence double combination complementation and the diversified clearing means of payment of automation, greatly improve
The efficiency of bulk product weighed, settled accounts, simplifies method of payment, improves work efficiency in the supermarket of market.
(4) a kind of supermarket market energy-saving anti-theft automatic identification of the invention is weighed the Item Information also set up in settlement system
Summarize feedback module, will can comprehensively and effectively sell and carry out induction and conclusion at suit article and bulk product information, in real time
Library is updated the data, is accurately reacted into relevant informations such as quantity, weight, purchasing price, the operating incomes of suit article and bulk product,
Completely present market supermarket inventory, avoid it is artificial check, saved cost and improved efficiency.
(5) a kind of supermarket market energy-saving anti-theft automatic identification of the invention settlement method of weighing passes through to passing in and out market supermarket
Customer carry out identification and weight detection, can quickly judge abnormal conditions with simplest method, reinform artificial existing
Field interference can effectively monitor customer and whether there is pilferage behavior, reduce loss, while avoiding on every commodity
It pastes magnetic stripe and magnetic clasp inductor is installed in exit, reduce cost savings resource.
(6) a kind of the weigh wake-up signal of settlement system use of supermarket market energy-saving anti-theft automatic identification of the invention is sent
Module ensure that system quickly can be transferred to operating mode when insighted nickname settles accounts demand again from low-power sleep state, significantly
The non-normal consumption for reducing system reduces long-term standby, waste electric energy, reduces operation cost.
(7) a kind of supermarket market energy-saving anti-theft automatic identification of the invention is weighed the artificial identification of the setting in settlement system
Terminal module and manual site's service terminal module can real-time effective solution be any suspicious as needed or the shape of burst
Condition substantially increases the adaptability of system and the ability of practical application.
(8) a kind of supermarket market energy-saving anti-theft automatic identification of the invention is weighed the disbursement and sattlement module in settlement system,
It is connected to customer payment system immediately using settlement data, while use includes authentication module, member's card identification apparatus, refers to
Any one in line identification device, speech recognition equipment, face authentification device carries out authority to pay, effectively raises payment
Convenient degree, reduces cost of labor.
(9) a kind of supermarket market energy-saving anti-theft automatic identification of the invention is weighed the image data acquiring mould in settlement system
Block is additionally provided with LED Intelligent supplemental lighting modules, can in illumination deficiency automatic light-supplementing, effectively raise the accurate of the image of acquisition
And readability.
(10) a kind of supermarket market energy-saving anti-theft automatic identification of the invention weighs settlement system by Kit and in bulk
Article uses different payment modes of weighing, and solves the settling problems of all cargos in supermarket market, while having distinguished difference
Demand, simplify the complexity of system, take full advantage of existing identifier, reached comprehensive covering, can reduce and be
Construction in a systematic way set during technical risk, be attached with other systems with being also convenient for and data exchange.
(11) a kind of supermarket market energy-saving anti-theft automatic identification of the invention weigh settlement method and system can be effectively right
All kinds of articles in supermarket market carry out automatic identification, weigh, and system intelligent degree is preferable, and discrimination is higher, adapt to newly compared with
By force, can quickly Coping with Reality operation in various fortuitous events, reduce bulk product wait for weigh and clearing time, carry
The high accuracy of settlement efficiency and data, reduces the time cost of customer and seller, has higher practical value and wide
General application prospect.
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 energy-saving anti-theft automatic identification of the present invention is weighed settlement method flow chart；
Fig. 2 is that a kind of supermarket market energy-saving anti-theft automatic identification of the present invention is weighed the specific side of step S7 in settlement method
Method flow chart；
Fig. 3 is that a kind of supermarket market energy-saving anti-theft 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 energy-saving anti-theft automatic identification of the present embodiment is weighed settlement method, including with
Lower step：
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 identifiable price sign 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 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 customer enter the weight data M1 and identity data in supermarket or market, and storage is for use；
S4, when have article by when triggering identification clearing service, bulk product 3 d image data to be weighed is acquired, to adopting
The image data of collection carries out the image preprocessing including scaling, enhancing contrast, reduction noise；
S5, its weight is weighed while acquiring bulk product 3 d image data to be weighed, obtains bulk product weight
Data G is for use；
S6, 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 S7, 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；
S8, 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；
S9, in acquisition at suit article and while bulk product data to be weighed, acquire customer's weight data M2 and body
Part data, and according to the corresponding weight data M1 of the identification data matches stored in S3, M2 and M1 are made the difference, when difference M is more than
When preset threshold value, manual site's Identification Service is triggered, position code is sent to manual site's service terminal, waits at scene
Reason, is simultaneously emitted by operation stop signal, stops the progress of next step；
S10, when the operation stop signal being not received by S9, by bulk product settlement data R1 at suit article
Settlement data R2 is summed to obtain settlement data R and is transferred to customer payment system, waits for customer to select payment according to classification is authorized
Mode is directly withholdd, while payment information and Item Information being 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.
Further include in step S6 in the present embodiment：When having some or multiple articles in same batch bulk product to be weighed
The image feature data of extraction and the image feature data deviation value of batch bulk product extraction to be weighed are more than predetermined threshold
When, it is determined as abnormal conditions, and trigger manual site's Identification Service, waits for manual site's identification.
A kind of supermarket market energy-saving anti-theft automatic identification provided in this embodiment is weighed settlement system, including memory module,
Wake-up signal sending module, image data acquiring module, image data processing module, customer data acquisition matching module, image
Data match module, manual intervention module, judges settlement data generation module and disbursement and sattlement module at Weighing 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；
The wake-up signal sending module be used for when have article needs weigh identification clearing when, to image data acquiring mould
Block, image data matching module, Weighing module, judges settlement data generation module and disbursement and sattlement at image data processing module
Module sends working signal, will be in the dormant image data acquiring module of low-power consumption standby accordingly, at image data
Reason module, Weighing module, judges settlement data generation module and disbursement and sattlement data bits at image data matching module；
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；Pass through
Genetic algorithm calculates X1、X2And X3Best value；
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；
The customer data acquisition module includes Weighing module and identification module, for acquire customer enter supermarket or
The weight data M1 and identity data in person market are sent into memory module storage and acquire customer's weight for use and when commodity are settled accounts
Data M2 simultaneously identifies customer identification, by the weight data M2 of same identity with and M1 make the difference, when difference M be more than preset threshold value
When, manual intervention module is enabled, sends position code to manual site's service terminal, waits for in-situ processing, while to expense knot
It calculates module and sends out operation stop signal；
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.
It includes face recognition, member card identification, fingerprint recognition, identity card knowledge that identification module in the present embodiment, which uses,
One or more of other technology；
Mandate classification in the customer payment system includes authentication module, member's card identification apparatus, fingerprint recognition
One or more of device, speech recognition equipment, face authentification device.
A kind of supermarket market energy-saving anti-theft automatic identification in the present embodiment is weighed settlement system, further includes that Item Information converges
Total feedback module, the Item Information summarize the pre-stored quantity for including into suit article and each bulk product of feedback module, again
Information bank including amount, purchasing price, operating income, according in the frequency reception disbursement and sattlement module of setting processing obtain include
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.
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 energy-saving anti-theft automatic identification of the present invention weighs settlement method and system can be effectively to supermarket
All kinds of articles in market carry out automatic identification, weigh, and system intelligent degree is preferable, and discrimination is higher, and adaptability is stronger, also
It can quickly find the various fortuitous events in pilferage behavior and Coping with Reality operation, reduce bulk product and wait for weighing and knot
The time of calculation improves the accuracy of settlement efficiency and data, reduces the time cost of customer and seller, simplifies supermarket quotient
The monitoring cost of field has 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 energy-saving anti-theft 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 customer enter the weight data M1 and identity data in supermarket or market, and storage is for use；S4, when have article by when triggering identification clearing service, bulk product 3 d image data to be weighed is acquired, to acquisition Image data carries out the image preprocessing including scaling, enhancing contrast, reduction noise；S5, its weight is weighed while acquiring bulk product 3 d image data to be weighed, obtains bulk product weight data G For use；S6, 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 S7, 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；S8, 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；S9, in acquisition at suit article and while bulk product data to be weighed, acquire customer's weight data M2 and identity number According to, and according to the corresponding weight data M1 of the identification data matches stored in S3, M2 and M1 are made the difference, when difference M is more than default Threshold value when, trigger manual site's Identification Service, send position code to manual site's service terminal, wait for in-situ processing, together When send out operation stop signal, stop the progress of next step；S10, when the operation stop signal being not received by S9, by bulk product settlement data R1 at suit item checkout Data R2 is summed to obtain settlement data R and is transferred to customer payment system, waits for customer to select the means of payment according to classification is authorized Or directly withhold, while payment information and Item Information being shown to customer in real time.
- The settlement method 2. a kind of supermarket market energy-saving anti-theft 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 energy-saving anti-theft automatic identification according to claim 1 is weighed, which is characterized in that Further include in step s 6：When the image feature data for having some or the extraction of multiple articles in same batch bulk product to be weighed When being more than predetermined threshold with the image feature data deviation value of batch bulk product extraction to be weighed, it is determined as abnormal conditions, And manual site's Identification Service is triggered, wait for manual site's identification.
- The settlement system 4. a kind of supermarket market energy-saving anti-theft 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；Wake-up signal sending module, for when have article needs weigh identification clearing when, to image data acquiring module, picture number According to processing module, image data matching module, Weighing module, judge that settlement data generation module and disbursement and sattlement module send work Make signal, the dormant image data acquiring module of low-power consumption standby, image data processing module, image will be in accordingly Data match module, Weighing module judge settlement data generation module and disbursement and sattlement data bits；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；Described image data match module further includes Data Computation Unit, and the Data Computation Unit is used to calculate matched data D, The calculation formula of the matched 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；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；Customer data acquisition module, including Weighing module and identification module enter supermarket or market for acquiring customer Weight data M1 and identity data be sent into memory module storage it is for use and when commodity settle accountss acquisition customer's weight data M2 And identify customer identification, by the weight data M2 of same identity with and M1 make the difference, when difference M be more than preset threshold value when, enable Manual intervention module sends position code to manual site's service terminal, waits for in-situ processing, while sending out to disbursement and sattlement module Go out operation stop signal；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 energy-saving anti-theft 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 energy-saving anti-theft automatic identification according to claim 4 is weighed, which is characterized in that The artificial identification terminal be include display module and in real time can interactive module, the display module for receive show ranking before Three prestore 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 The matched saving product data that prestores of artificial judgment bulk product to be weighed, and result is fed back to and judges that settlement data generates mould Block.
- The settlement system 7. a kind of supermarket market energy-saving anti-theft automatic identification according to claim 4 is weighed, which is characterized in that Manual site's service terminal includes voice interaction module, intelligent mobile control terminal module, and the voice interaction module is used In carrying out speech exchange and acquisition Site Service position code in real time, the intelligent mobile control terminal module is for scene Inquiry determines that bulk product unit price data P to be weighed and other include dissipating the abnormal conditions for claiming article inconsistent.
- The settlement system 8. a kind of supermarket market energy-saving anti-theft automatic identification according to claim 4 is weighed, which is characterized in that The identification module using include face recognition, member card identification, fingerprint recognition, one kind in identity card identification technology or It is several；Mandate classification in the customer payment system include authentication module, member's card identification apparatus, fingerprint identification device, One or more of speech recognition equipment, face authentification device.
- The settlement system 9. a kind of supermarket market energy-saving anti-theft automatic identification according to claim 4 is weighed, which is characterized in that Further include that Item Information summarizes feedback module, the Item Information summarizes that feedback module is pre-stored to be included into suit article and each dissipate The information bank including the quantity of article, weight, purchasing price, operating income is filled, according to the frequency reception disbursement and sattlement module of setting It is middle to handle that obtain includes delicate data G and settlement data R, and in real-time update information bank at suit article and each Quantity, weight, purchasing price, the operating income relevant information of bulk product.
- The settlement system 10. a kind of supermarket market energy-saving anti-theft automatic identification according to claim 4 is weighed, feature exist In the disbursement and sattlement module is connect by network communication equipment with customer payment system immediately, and the network communication equipment is Using one or more of NFC, bluetooth, WIFI, UWB data transmission technology equipment.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810512541.0A CN108734458A (en) | 2018-05-25 | 2018-05-25 | A kind of supermarket market energy-saving anti-theft automatic identification is weighed settlement method and system |
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| CN201810512541.0A CN108734458A (en) | 2018-05-25 | 2018-05-25 | A kind of supermarket market energy-saving anti-theft automatic identification is weighed settlement method and system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108765796A (en) * | 2018-05-25 | 2018-11-06 | 合肥汇之新机械科技有限公司 | A kind of supermarket market energy-saving anti-theft automatic identification is weighed settlement method and system |
| CN111907830A (en) * | 2020-07-25 | 2020-11-10 | 郑州太德网络科技有限公司 | Automatic sealing and marking system for scattered articles |
| WO2020233582A1 (en) * | 2019-05-21 | 2020-11-26 | 深圳市恒天伟焱科技有限公司 | Food settlement method and apparatus, and computer-readable storage medium |
| CN112365255A (en) * | 2020-10-28 | 2021-02-12 | 中标慧安信息技术股份有限公司 | Non-inductive payment method and system for supermarket |
-
2018
- 2018-05-25 CN CN201810512541.0A patent/CN108734458A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108765796A (en) * | 2018-05-25 | 2018-11-06 | 合肥汇之新机械科技有限公司 | A kind of supermarket market energy-saving anti-theft automatic identification is weighed settlement method and system |
| WO2020233582A1 (en) * | 2019-05-21 | 2020-11-26 | 深圳市恒天伟焱科技有限公司 | Food settlement method and apparatus, and computer-readable storage medium |
| CN111907830A (en) * | 2020-07-25 | 2020-11-10 | 郑州太德网络科技有限公司 | Automatic sealing and marking system for scattered articles |
| CN112365255A (en) * | 2020-10-28 | 2021-02-12 | 中标慧安信息技术股份有限公司 | Non-inductive payment method and system for supermarket |
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