CN108806132A - A kind of energy saving automatic identification of bulk product is weighed settlement method and system - Google Patents

A kind of energy saving automatic identification of bulk product is weighed settlement method and system Download PDF

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Publication number
CN108806132A
CN108806132A CN201810516520.6A CN201810516520A CN108806132A CN 108806132 A CN108806132 A CN 108806132A CN 201810516520 A CN201810516520 A CN 201810516520A CN 108806132 A CN108806132 A CN 108806132A
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China
Prior art keywords
data
module
bulk product
weighed
settlement
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CN201810516520.6A
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Chinese (zh)
Inventor
王月斌
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Hefei Tatsu Wire And Cable Technology Co Ltd
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Hefei Tatsu Wire And Cable Technology Co Ltd
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Priority to CN201810516520.6A priority Critical patent/CN108806132A/en
Publication of CN108806132A publication Critical patent/CN108806132A/en
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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07GREGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00Cash registers
    • G07G1/12Cash registers electronically operated
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01GWEIGHING
    • G01G19/00Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
    • G01G19/40Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups with provisions for indicating, recording, or computing price or other quantities dependent on the weight
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/20Scenes; Scene-specific elements in augmented reality scenes

Abstract

It weighs settlement method and system the invention discloses a kind of energy saving automatic identification of bulk product, 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 the bulk product 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

A kind of energy saving automatic identification of bulk product is weighed settlement method and system
Technical field
The present invention relates to Automated Clearing House system technical fields, and in particular to a kind of energy saving automatic identification of bulk product is weighed knot Calculate 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 energy saving automatic identification of bulk product and weighs settlement method, should The energy saving automatic identification of bulk product weighs settlement method can be effectively to the bulk product progress automatic identification in supermarket market, title Weight, system intelligent degree is preferable, and discrimination is higher, adapts to new relatively strong, various accidents that can quickly in Coping with Reality operation Situation reduces bulk product and waits for the time for weighing and settling accounts, improves the accuracy of settlement efficiency and data, reduce Gu The time cost of visitor and seller have higher practical value and are 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 energy saving automatic identification of bulk product:
S1, 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;
S2, 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;
S3, its weight is weighed while acquiring bulk product 3 d image data to be weighed, obtains bulk product weight Data G is for use;
S4, 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 S5, 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 settlement data R 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 with weight data G and settles accounts number According to 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 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;
S6, settlement data R is transferred to customer payment system, according to authorize classification wait for customer select the means of payment or It directly withholds, 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 4: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 energy saving automatic identification of bulk product, including memory module, wakes up letter It is number sending module, image data acquiring module, image data processing module, image data matching module, Weighing module, artificial dry Pre- module judges settlement data generation module and disbursement and sattlement module;
The memory module is used to be pre-stored each bulk product 3 d image data and corresponding monovalent data P, Simultaneously store using image recognition algorithm to bulk product 3 d image data extract including color characteristic, textural characteristics, shape 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;
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 module and manual site's service terminal module, for when judgement Data Matching degree M less than absolute reference threshold value Y and can refer to threshold value T or other abnormal feelings occur in settlement data generation module When condition, manpower intervention processing so that judge 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 settlement data R;If Data Matching degree M, which is less than absolute reference threshold value Y and is more than or equal to, can refer to threshold value T, then by prestore saving article 3-D view and the bulk product 3-D view to be weighed of first three of matched data value ranking in S4 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 will As a result the corresponding unit price data P of associated pre-stored bulk product is multiplied to obtain settlement data R with weight data G, when pre- timing In be not received by feedback result, then trigger manual site's Identification Service, send position code to manual site's service terminal, It waits for scene to determine bulk product unit price data P to be weighed, then monovalent data P is multiplied to obtain settlement data with weight data G 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 to manual site Service terminal waits for scene to determine bulk product unit price data P to be weighed, then monovalent data P is multiplied to obtain with weight data G Settlement data R;
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 module be include display module and in real time can interactive module, the display mould Block shows ranking prestore saving article 3-D view and the bulk product 3 d image data to be weighed of first three, institute for receiving State 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 judging settlement data generation module.
Preferably, manual site's service terminal module includes voice interaction module, intelligent mobile control terminal module, The voice interaction module for carrying out speech exchange and obtaining Site Service position code, the intelligent mobile control in real time Terminal module processed determines that bulk product unit price data P to be weighed and other include dissipating to claim article inconsistent for scene inquiry Abnormal conditions.
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 Information bank including each bulk product quantity, weight, purchasing price, operating income, according to the frequency reception disbursement and sattlement mould of setting What processing obtained in block includes delicate data G and settlement data R, and each bulk product number in real-time update information bank Amount, 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) the energy saving automatic identification of a kind of bulk product of the invention weighs settlement method by acquiring the image of bulk product Data are simultaneously compared with pre-stored bulk product 3-D view, special by the color characteristic, textural characteristics, shape of extraction Image feature data including sign arrives matched data by specific calculation formula, and it is more accurate to sort to obtain using algorithm Data Matching degree, while obtaining the reference threshold for comparison using genetic algorithm, bulk product be very accurately determined Type, and then obtain its associated monovalent data, then the result of automatic weighing is coordinated to obtain its settlement data, be automatically mapped to Payment system, to realize fast and accurately identification and the clearing of automatic intelligent;In addition be specifically incorporated artificial supplementation, The step of correction, ensure that when automatic identification degree is not high, result leaves a question open, timely be adopted by the trigger condition of setting It takes artificial backstage intervention and manual site to intervene, the most quasi- weighing clearing accuracy of bulk product is ensure that, by this double Insurance processing and coherent and seamless combination identification method so that natural and tripping during Automatic-settlement, customer will not experience To too big difference, good service experience is formed, working efficiency is greatly improved and has saved valuable time.
(2) the energy saving automatic identification of a kind of bulk product of the invention is weighed, and to be also provided with bulk product inconsistent for settlement method The case where intervening measure, pass through each image feature data in bulk product and batch bulk product to be weighed extraction Image feature data is compared, and sets deviation value threshold value, to found the abnormal situation in time, then takes the side of 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) the energy saving automatic identification of a kind of bulk product of the invention is weighed settlement system, passes through the memory module of setting, figure As data acquisition module, image data processing module, image data matching module, Weighing module, manual intervention module, judge knot Data generation module and disbursement and sattlement module are calculated, realizes and effectively identification, intelligent data processing, people is carried out for bulk product The dicision rules and the diversified clearing means of payment of automation of work intelligence double combination complementation, greatly improve market supermarket The efficiency of middle bulk product weighed, settled accounts, simplifies method of payment, improves work efficiency.
(4) a kind of energy saving automatic identification of bulk product of the invention Item Information also set up in settlement system of weighing summarizes Feedback module, can comprehensively and effectively by the bulk product information sold carry out induction and conclusion, real-time update database, accurately The relevant informations such as quantity, weight, purchasing price, the operating income of bulk product are reacted, market supermarket inventory is completely presented, avoids Artificial checks, and has saved cost and improves efficiency.
(5) the energy saving automatic identification of a kind of bulk product of the invention weighs the image data acquiring module in settlement system also Equipped with LED Intelligent supplemental lighting modules, can in illumination deficiency automatic light-supplementing, effectively raise the accurate and clear of the image of acquisition Clear degree.
(6) a kind of the weigh wake-up signal of settlement system use of the energy saving automatic identification of bulk product of the invention sends mould Block ensure that system quickly can be transferred to operating mode when insighted nickname settles accounts demand again from low-power sleep state, drop significantly The low non-normal consumption of system reduces long-term standby, waste electric energy, reduces operation cost.
(7) the energy saving automatic identification of a kind of bulk product of the invention is weighed the artificial identification terminal of the setting in settlement system Module and manual site's service terminal module can real-time effective solution be any suspicious as needed or the situation of burst, greatly Improve the adaptability of system and the ability of practical application greatly.
(8) the energy saving automatic identification of a kind of bulk product of the invention is weighed the disbursement and sattlement module in settlement system, is used Settlement data is connected to customer payment system immediately, while it includes authentication module, member's card identification apparatus, fingerprint knowledge to use Any one in other device, speech recognition equipment, face authentification device carries out authority to pay, effectively raises the convenient of payment Degree reduces cost of labor.
(9) the energy saving automatic identification of a kind of bulk product of the invention weigh settlement method and system can be effectively to supermarket quotient Bulk product in carries out automatic identification, weighs, and system intelligent degree is preferable, and discrimination is higher, adapts to newly relatively by force, can Various fortuitous events in quick Coping with Reality operation, reduce bulk product and the time for weighing and settling accounts, raising are waited for finish The accuracy for calculating efficiency and data, reduces the time cost of customer and seller, has higher practical value and widely answers Use foreground.
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 energy saving automatic identification of bulk product of the present invention is weighed settlement method flow chart;
Fig. 2 is that a kind of energy saving automatic identification of bulk product of the present invention is weighed the specific method stream of step S5 in settlement method Cheng Tu;
Fig. 3 is that a kind of energy saving automatic identification of bulk product 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 energy saving automatic identification of bulk product of the present embodiment is weighed settlement method, including following step Suddenly:
S1, 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;
S2, 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;
S3, its weight is weighed while acquiring bulk product 3 d image data to be weighed, obtains bulk product weight Data G is for use;
S4, 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 S5, 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 settlement data R 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 with weight data G and settles accounts number According to 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 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;
S6, settlement data R is transferred to customer payment system, according to authorize classification wait for customer select the means of payment or It directly withholds, 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 S4 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 energy saving automatic identification of bulk product of the present embodiment is weighed settlement system, including memory module, wake-up signal Sending 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 memory module is used to be pre-stored each bulk product 3 d image data and corresponding monovalent data P, Simultaneously store using image recognition algorithm to bulk product 3 d image data extract including color characteristic, textural characteristics, shape 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;
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 module and manual site's service terminal module, for when judgement Data Matching degree M less than absolute reference threshold value Y and can refer to threshold value T or other abnormal feelings occur in settlement data generation module When condition, manpower intervention processing so that judge 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 settlement data R;If Data Matching degree M, which is less than absolute reference threshold value Y and is more than or equal to, can refer to threshold value T, then by prestore saving article 3-D view and the bulk product 3-D view to be weighed of first three of matched data value ranking in S4 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 will As a result the corresponding unit price data P of associated pre-stored bulk product is multiplied to obtain settlement data R with weight data G, when pre- timing In be not received by feedback result, then trigger manual site's Identification Service, send position code to manual site's service terminal, It waits for scene to determine bulk product unit price data P to be weighed, then monovalent data P is multiplied to obtain settlement data with weight data G 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 to manual site Service terminal waits for scene to determine bulk product unit price data P to be weighed, then monovalent data P is multiplied to obtain with weight data G Settlement data R;
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 module in the present embodiment be include display module and in real time can interactive module, the display mould Block shows ranking prestore saving article 3-D view and the bulk product 3 d image data to be weighed of first three, institute for receiving State 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 judging settlement data generation module.
Manual site's service terminal module in the present embodiment includes voice interaction module, intelligent mobile control terminal mould Block, the voice interaction module for carrying out speech exchange and obtaining Site Service position code, the intelligent sliding in real time Dynamic control terminal module determines that bulk product unit price data P to be weighed and other include dissipating that article is claimed to differ for scene inquiry The abnormal conditions of cause.
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.
The energy saving automatic identification of a kind of bulk product in the present embodiment is weighed settlement system, further includes that Item Information summarizes instead Present module, it includes that each bulk product quantity, weight, purchasing price, operating income exist that it is pre-stored, which to summarize feedback module, for the Item Information Interior information bank, according to processing in the frequency reception disbursement and sattlement module of setting obtain comprising delicate data G and Settlement data R, and each bulk product quantity, weight, purchasing price, operating income relevant information in real-time update information bank.
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 energy saving automatic identification of bulk product of the present invention weighs settlement method can be effectively to dissipating in supermarket market Dress article carries out automatic identification, weighs, and system intelligent degree is preferable, and discrimination is higher, adapts to newly relatively by force, can quickly handle Various fortuitous events in real operation, reduce bulk product wait for weigh and clearing time, improve settlement efficiency and The accuracy of data reduces the time cost of customer and seller, 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)

  1. The settlement method 1. a kind of energy saving automatic identification of bulk product is weighed, which is characterized in that include the following steps:
    S1, 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;
    S2, 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;
    S3, its weight is weighed while acquiring bulk product 3 d image data to be weighed, obtains bulk product weight data G For use;
    S4, 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 S5, 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 settlement data R 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 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, 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 settlement data R;
    S6, settlement data R is transferred to customer payment system, according to the mandate classification waiting customer selection means of payment or directly It withholds, while payment information and Item Information being shown to customer in real time.
  2. The settlement method 2. the energy saving automatic identification of a kind of bulk product according to claim 1 is weighed, which is characterized in that described Image recognition algorithm is one kind in FastICA algorithms, algorithm and SVM algorithm based on OpenCV function libraries.
  3. The settlement method 3. the energy saving automatic identification of a kind of bulk product according to claim 1 is weighed, which is characterized in that in step Further include in rapid S4:When the image feature data for having some or the extraction of multiple articles in same batch bulk product to be weighed and it is somebody's turn to do When the image feature data deviation value of batch bulk product extraction to be weighed is more than predetermined threshold, it is determined as abnormal conditions, and touch Manual site's Identification Service is sent out, manual site's identification is waited for.
  4. The settlement system 4. a kind of energy saving automatic identification of bulk product is weighed, which is characterized in that including:
    Memory module stores simultaneously for being pre-stored each bulk product 3 d image data and corresponding monovalent data P Existed including color characteristic, textural characteristics, shape feature to what bulk product 3 d image data extracted using image recognition algorithm Interior image feature data 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;
    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 module and manual site's service terminal module, for when judgement clearing number According to Data Matching degree M in generation module less than absolute reference threshold value Y and when can refer to threshold value T or other abnormal conditions occur, 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 settlement data R according to 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, will Matched data value ranking prestore saving article 3-D view and the bulk product 3 d image data to be weighed biography of first three in S4 Send it 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 result is closed The corresponding unit price data P of pre-stored bulk product of connection is multiplied to obtain settlement data R with weight data G, when not having in the predetermined time Feedback result is received, then triggers manual site's Identification Service, position code is sent to manual site's service terminal, waits for existing It determines bulk product unit price data P to be weighed, then monovalent data P is multiplied with weight data G to obtain settlement data R;If number It is less than according to matching degree M and can refer to threshold value T, then trigger manual site's Identification Service, it is whole to manual site's service sends 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 with weight data G and settles accounts number According to R;
    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.
  5. The settlement system 5. the energy saving automatic identification of a kind of bulk product according to claim 4 is weighed, which is characterized in that described Image data acquiring module is additionally provided with LED Intelligent supplemental lighting modules.
  6. The settlement system 6. the energy saving automatic identification of a kind of bulk product according to claim 4 is weighed, which is characterized in that described Artificial identification terminal module be include display module and in real time can interactive module, before the display module is for receiving display ranking 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.
  7. The settlement system 7. the energy saving automatic identification of a kind of bulk product according to claim 4 is weighed, which is characterized in that described Manual site's service terminal module 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.
  8. The settlement system 8. the energy saving automatic identification of a kind of bulk product according to claim 4 is weighed, which is characterized in that described Mandate classification in customer payment system includes authentication module, member's card identification apparatus, fingerprint identification device, speech recognition One or more of device, face authentification device.
  9. The settlement system 9. the energy saving automatic identification of a kind of bulk product according to claim 4 is weighed, which is characterized in that also wrap Include Item Information and summarize feedback module, the Item Information summarize feedback module it is pre-stored include each bulk product quantity, weight, Information bank including purchasing price, operating income, according in the frequency reception disbursement and sattlement module of setting processing obtain comprising standard True weight data G and settlement data R, and each bulk product quantity, weight, purchasing price, the business in real-time update information bank are received Enter relevant information.
  10. The settlement system 10. the energy saving automatic identification of a kind of bulk product according to claim 4 is weighed, which is characterized in that institute It states disbursement and sattlement module to connect immediately with customer payment system by network communication equipment, the network communication equipment is to use One or more of NFC, bluetooth, WIFI, UWB data transmission technology equipment.
CN201810516520.6A 2018-05-25 2018-05-25 A kind of energy saving automatic identification of bulk product is weighed settlement method and system Withdrawn CN108806132A (en)

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