CN108269369A - Settle accounts case and its settlement method - Google Patents

Settle accounts case and its settlement method Download PDF

Info

Publication number
CN108269369A
CN108269369A CN201810050328.2A CN201810050328A CN108269369A CN 108269369 A CN108269369 A CN 108269369A CN 201810050328 A CN201810050328 A CN 201810050328A CN 108269369 A CN108269369 A CN 108269369A
Authority
CN
China
Prior art keywords
commodity
image
merchandise news
module
detected
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810050328.2A
Other languages
Chinese (zh)
Inventor
陈子林
王良旗
郝雨
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongshan Bingo Network Technology Co Ltd
Original Assignee
Zhongshan Bingo Network Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongshan Bingo Network Technology Co Ltd filed Critical Zhongshan Bingo Network Technology Co Ltd
Publication of CN108269369A publication Critical patent/CN108269369A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0018—Constructional details, e.g. of drawer, printing means, input means
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0036—Checkout procedures
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47F—SPECIAL FURNITURE, FITTINGS, OR ACCESSORIES FOR SHOPS, STOREHOUSES, BARS, RESTAURANTS OR THE LIKE; PAYING COUNTERS
    • A47F9/00—Shop, bar, bank or like counters
    • A47F9/02—Paying counters
    • A47F9/04—Check-out counters, e.g. for self-service stores
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/30—Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/32—Payment architectures, schemes or protocols characterised by the use of specific devices or networks using wireless devices
    • G06Q20/327—Short range or proximity payments by means of M-devices
    • G06Q20/3276—Short range or proximity payments by means of M-devices using a pictured code, e.g. barcode or QR-code, being read by the M-device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/30—Individual registration on entry or exit not involving the use of a pass
    • G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • 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
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0036—Checkout procedures
    • G07G1/0045—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader
    • G07G1/0054—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader with control of supplementary check-parameters, e.g. weight or number of articles
    • G07G1/0072—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader with control of supplementary check-parameters, e.g. weight or number of articles with means for detecting the weight of the article of which the code is read, for the verification of the registration
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/01—Details for indicating
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/12—Cash registers electronically operated
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G3/00—Alarm indicators, e.g. bells
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47F—SPECIAL FURNITURE, FITTINGS, OR ACCESSORIES FOR SHOPS, STOREHOUSES, BARS, RESTAURANTS OR THE LIKE; PAYING COUNTERS
    • A47F9/00—Shop, bar, bank or like counters
    • A47F9/02—Paying counters
    • A47F9/04—Check-out counters, e.g. for self-service stores
    • A47F2009/041—Accessories for check-out counters, e.g. dividers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Software Systems (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Artificial Intelligence (AREA)
  • Human Computer Interaction (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Finance (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
  • Cash Registers Or Receiving Machines (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of clearing casees and its settlement method, the clearing case to include：Including：Babinet, the camera for being set to top of the box and the picture recognition module being set in babinet, picture recognition module are connected with camera, and dynamic code module is connected with picture recognition module；The region of commodity is placed in the shooting angle covering babinet of camera；Picture recognition module is connect with camera, is identified the merchandise news in the image of commodity to be detected and is generated settlement information.The babinet of commodity to be settled accounts can be accommodated by setting, is covered commodity by babinet, so as to avoid interference of other light to commodity image, improves the accuracy of gained checkout result.

Description

Settle accounts case and its settlement method
Technical field
The present invention relates to a kind of clearing case and its settlement methods, belong to payment mechanism technical field.
Background technology
With the raising of human cost, human cost is just becoming the main burden of many simple duplication of labour industries.Such as Convenience store, the cashier of convenience store is on the one hand on duty for a long time, on the other hand is only capable of being engaged in the cash register tally simply repeated again Deng labour, cashier can not both obtain more higher vocational skills to improve income, while human cost also heavy compression quotient The profit of family.
Existing unattended settlement device, mostly by commodity are placed under light shot after obtain commodity image, To be settled accounts.Background residing for captured commodity is complicated, and ambient combines complicated background during shooting so that obtains commodity Image interference is serious, and existing method can not accurately obtain commodity amount and type in image, be easy to cause settlement amounts mistake.
Invention content
According to an aspect of the invention, there is provided a kind of clearing case, which is avoided that other light to commodity institute The interference of image is obtained, improves the accuracy rate of checkout result.
Including：Babinet, the camera being set in babinet and the picture recognition module being set in babinet, camera The region of commodity is placed in shooting angle covering babinet；Picture recognition module is connect with camera, identifies the figure of commodity to be detected As in merchandise news and generate settlement information.
Preferably, camera obtains the image containing commodity to be detected；Picture recognition module will contain commodity to be detected Image inputs the identifying system based on neural network, and the identifying system based on neural network exports merchandise news to be detected.
Preferably, it obtains the image containing commodity to be detected and includes at least angle and/or different first images of the depth of field to N Image；N≥2；
Neural network recognization system includes the first nerves network based on region convolutional neural networks；Commodity recognition method packet Include step：
(a1) the first image is inputted into first nerves network, first nerves network exports the first merchandise news；By N images Input first nerves network, first nerves network output N merchandise newss；
(b1) judge whether N merchandise newss are included in the first merchandise news；
If judging result is yes, then exported the first merchandise news as merchandise news to be detected；As judging result be it is no, Then export feedback result.
Preferably, judge that whether the method being included in the first merchandise news is N merchandise newss, judges in step (b1) Whether the type of merchandize in N merchandise newss is present in the first merchandise news.
Preferably, judge that whether the method being included in the first merchandise news is N merchandise newss, judges in step (b1) Whether the commodity amount in N merchandise newss is less than or equal to the commodity amount in the first merchandise news.
Preferably, clearing case further includes trigger module, and trigger module is connected with camera triggering；Clearing case is further included and is schemed As identification module connect dynamic code module, dynamic code module obtain settlement information after generate payment code, and show payment code and Settlement information.
Preferably, clearing case further includes consumption data analysis module, consumption data analysis module be set in babinet and with Dynamic code module is connected, and consumption data analysis module is for statistical analysis to settlement information, obtains consumption time in the unit interval Number and/or consumption quantity are more than the trade name of preset value.
Another aspect of the present invention additionally provides a kind of settlement method, includes the following steps：
Step S100：Commodity to be settled accounts are put into clearing case, obtain the image containing commodity to be detected；
Step S200：It identifies the merchandise news in the image of commodity to be detected and generates settlement information；
Step S300：Payment code is generated, and show payment code and settlement information after obtaining settlement information.
Preferably, the commodity letter in images of the step S200 by running neural network recognization system identification commodity to be detected Breath；
Step S200 is further comprising the steps of：It is for statistical analysis to settlement information, obtain consumption number of times in the unit interval And/or consumption quantity is more than the trade name of preset value.
Preferably, step S100 is further comprising the steps of：
Step S110：Clearing case inner light source is opened after being put into commodity；
Step S120：Camera obtains the image of commodity to be detected.
The advantageous effect that the present invention can generate includes：
1) clearing case provided by the present invention can accommodate the babinets of commodity to be settled accounts by setting, by babinet by commodity It covers, so as to avoid interference of other light to commodity image, improves the accuracy of gained checkout result.
2) clearing case provided by the present invention, only just opens light after commodity enter babinet, can play energy saving Effect.
3) clearing case provided by the present invention suitable for unattended restaurant or convenience store, can reduce cost of labor, with Lower cost realizes 24 hours on duty, raising profit margins.
4) settlement method provided by the present invention is counted by the commodity high to sales volume in generated order, for paving Goods provides data, realizes compartmentalization paving goods.
Description of the drawings
Fig. 1 is the clearing case stereoscopic schematic diagram provided in the preferred embodiment of the present invention；
Fig. 2 is the settlement method flow diagram schematic diagram provided in the preferred embodiment of the present invention.
Component and reference numerals list：
Component names Number
Babinet 100
Commodity settle accounts chamber 110
Opening 111
Trigger module 120
Dynamic code module 130
Picture recognition module 140
Operating space 150
Specific embodiment
The present invention is described in detail, but the invention is not limited in these embodiments with reference to embodiment.
Referring to Fig. 1, the present invention provides a kind of clearing case, including：Babinet 100, the camera for being set to 100 top of babinet And the picture recognition module 140 in babinet 100 is set to, picture recognition module 140 is connected with camera, dynamic code module 130 are connected with picture recognition module 140；
The region of commodity is placed in the shooting angle covering babinet 100 of camera；
Picture recognition module 140 is connect with camera, is identified the merchandise news in the image of commodity to be detected and is generated knot Calculate information.
Picture recognition module 140, for the pre-stored image stored in acquired commodity image and database to be compared It is right, find corresponding pre-stored image, and read the label of the pre-stored image, so that it is determined that in commodity image contained commodity title And its price.The quantity of contained commodity in commodity image can also be obtained by being compared by commodity image and pre-stored image, so as to combine The price of gained commodity obtains the settlement information of order.Merchandise news herein includes the type and quantity of commodity.
Background, light source and the camera angle of pre-stored image generate image with commodity in actual use middle case 100 It is completely the same, so as to reduce the generation of matching error.
Preferably, camera obtains the image containing commodity to be detected；
Picture recognition module 140 will input the identifying system based on neural network containing the image of commodity to be detected, be based on The identifying system of neural network exports merchandise news to be detected.
In order to improve recognition efficiency and precision, it is preferred to use neural network recognization system is identified.Neural network recognization System belongs to deep learning method, and the method learnt using the sustainability based on deep learning is not needed to by any third Side's mark identification commodity, as long as the free choice of goods is placed on desktop by user can be realized identification.Commodity are captured by common camera Picture significantly reduces cost and speed that commodity identify, it can be achieved that the quick detection of batch commodity.
Preferably, it obtains the image containing commodity to be detected and includes at least angle and/or different the first image of the depth of field extremely N images；N≥2；
Neural network recognization system includes the first nerves network based on region convolutional neural networks；Commodity recognition method packet Include step：
(a1) the first image is inputted into first nerves network, first nerves network exports the first merchandise news；By N images Input first nerves network, first nerves network output N merchandise newss；
(b1) judge whether N merchandise newss are included in the first merchandise news；
If judging result is yes, then exported the first merchandise news as merchandise news to be detected；
If judging result is no, then feedback result is exported.Feedback result herein includes stacking in prompting, error reporting It is at least one.
According to said method it is identified, it can accurate acquisition recognition result.
Preferably, judge that whether the method being included in the first merchandise news is N merchandise newss, judges in step (b1) Whether the type of merchandize in N merchandise newss is present in the first merchandise news.
Preferably, judge that whether the method being included in the first merchandise news is N merchandise newss, judges in step (b1) Whether the commodity amount in N merchandise newss is less than or equal to the commodity amount in the first merchandise news.
The quantity of camera is not limited to one in the present invention, can be arranged as required to multiple.Picture acquired in camera Can be two dimension or three-dimensional.
Camera right over objective table is main camera, is denoted as the first camera；Commodity recognition method includes following step Suddenly：
When using N number of camera respectively from different angles, obtain the picture of article to be identified, be denoted as respectively P1, P2.....PN, wherein the picture of main camera shooting is P1；
P1, P2......PN are uploaded into local identification server or high in the clouds identification server, each pictures are known Not, the merchandise news identified is denoted as R1, R2....RN respectively, and merchandise news includes the classification information of commodity and quantity letter Breath, wherein, the recognition result R1 of main camera is the first merchandise news, and the recognition result R2......RN of other cameras distinguishes For the second merchandise news ... N merchandise newss；
By taking two cameras as an example, judge whether R2 (the second merchandise news) is included in R1 (the first merchandise news)；
If if judging result is yes, exported R1 as merchandise news to be detected；
If judging result is no, then exports final recognition result and calculate the total weight of commodity in R1, with practical weighing Commodity total weight compare to obtain differential data, judge differential data whether be less than or equal to predetermined threshold value：
It if judging result is yes, is then exported R1 as merchandise news to be detected, shows the information in R1, i.e., comprising commodity Classification information, quantity information and pricing information items list；
If judging result is no, then stacking prompt message is shown.
Preferably, the commodity clearing chamber 110 being set to inside babinet 100, the light source for being set to 100 top of babinet are further included With dynamic code module 130, picture recognition module 140 is connected with camera, dynamic code module 130 and picture recognition module 140 It is connected.Commodity clearing chamber 110 opens up opening 111 to place/take away commodity on one side.
Preferably, clearing case further includes the dynamic code module 130 being connect with picture recognition module 140, dynamic code module 130 Payment code is generated, and show payment code and settlement information after obtaining settlement information.
Dynamic code module 130 is used for the code information that can be paid according to the generation of the settlement information of commodity with barcode scanning, and shows branch Code is paid to pay for user's barcode scanning.Payment code can be shown on the outer surface of babinet 100, can also be shown in other equipment. 100 outer surface of babinet refers to herein, when user carries out barcode scanning action for payment, the arbitrary surfaces of babinet 100 that arrive of institute's energy barcode scanning. The generating process of the module can be carried out by the prior art.By showing settlement information in 100 outer surface of babinet, convenient for being used for core To checkout result, and carry out barcode scanning payment.The realization of picture recognition module 140 can be carried out by existing method.
In order to improve the accuracy of the recognition result of picture recognition module 140, commodity can be set in commodity clearing chamber 110 Rest area, so as to improve the matching result accuracy of acquired commodity image and pre-stored image.Obvious is provided by the invention Settle accounts case, however it is not limited to unattended consumer environment, or used in the environment for having cashier.
Clearing case provided by the invention includes babinet 100 and the commodity being set in babinet 100 clearing chamber 110, image are known Other module 140, dynamic code module 130, light source and camera.Commodity clearing chamber 110 can accommodate commodity, and closing chamber as needed It opens after being set to the light source in babinet 100, commodity is shot, to obtain the image of commodity behind the door.100 1 surface side of babinet Wall is hatch door to be opened/closed, and hatch door face commodity clearing chamber 110 is set.Commodity 110 inner top of clearing chamber setting light source and camera shooting Head, light source and camera are subject to shadow surface or projection surface can effectively cover commodity placement area.Babinet 100 is closing, It can prevent interference of the extraneous light to commodity image, improve picture recognition module 140 to type of merchandize in image and quantity Recognition efficiency.Picture recognition module 140 is connected with camera.The image transmitting that camera obtains is to picture recognition module 140 Afterwards, which can identify contained commodity and its quantity in image, and according to existing algorithm in numerous stored commodity figures The type for finding out commodity in image is compared as in.Using cashier after this equipment, can be replaced substantially, customer is helped to complete self-service Payment.Remove the expense for employing cashier from, and can realize full-time employment.
For the ease of operation, operating space 150 is additionally provided on the outer surface of cupular part of babinet 100.
Preferably, clearing case further includes trigger module 120, and trigger module 120 is connected with camera triggering.When commodity enter Camera is triggered after commodity clearing chamber 110 by trigger module 120 to shoot commodity.
Preferably, light source is LED light.
Preferably, camera is single wide-angle camera, is set at commodity clearing 110 top center of chamber.It sets single Camera is conducive to improve the recognition result accuracy of image.Camera is set to the center of commodity clearing chamber 110, can obtain standard True commodity front view paves the direct picture information for placing commodity convenient for identification.
Preferably, picture recognition module 140 includes the settlement information of gained commodity to settle accounts area in dynamic code, and show use In the dynamic code of payment.It is used to that clearing can be realized by barcode scanning later.
Preferably, the consumption data analysis mould for being set to and being connected in babinet 100 and with dynamic code module 130 is further included Block, consumption data analysis module are used for, acquisition unit interval in consumption number of times and/or consumption for statistical analysis to settlement information Quantity is more than the trade name of preset value.Unit interval herein refers to have year, month, day set by user, Zhou Junke.The module Can be used to statistics consumption number of times can be used for statistics consumption quantity.Preset value can be set according to user.Needle The commodity more to consumption number of times and consumption quantity increase the paving goods amount of corresponding commodity, improve customer's purchase rate again.Improve convenience store Purchase rate again.Acquire and analyze the consumption data of the region cash register.Region commodity purchasing power and purchase hobby digitization.It completes During commodity are paid, the details such as the amount of money and the type of merchandize of commodity are purchased and server, shape are uploaded to by the form of image Into the purchase data in the region.
Referring to Fig. 2, another aspect of the present invention additionally provides a kind of clearing case settlement method, includes the following steps：
Step S100：Commodity to be settled accounts are put into clearing case, obtain the image containing commodity to be detected；
Step S200：It identifies the commodity kind information in the image of commodity to be detected and generates settlement information；
Step S300：Payment code is generated, and show payment code and settlement information after obtaining settlement information.
Preferably, the commodity letter in images of the step S200 by running neural network recognization system identification commodity to be detected Breath.
Step S200 is further comprising the steps of：It is for statistical analysis to settlement information, obtain consumption number of times in the unit interval And/or consumption quantity is more than the trade name of preset value.So as to fulfill the analysis to consumer's consumer behavior, paving trader's product are improved Sales volume.For the more commodity of consumption number of times and consumption quantity, increase the paving goods amount of corresponding commodity, improve customer and purchase again Rate.Improve convenience store's purchase rate again.Acquire and analyze the consumption data of the region cash register.
Preferably, step S100 is further comprising the steps of：
Step S110：Commodity to be settled accounts are put into commodity clearing intracavitary triggering light source and open；
Step S120：Camera obtains commodity image.
More than, be only several embodiments of the present invention, any type of limitation not done to the present invention, although the present invention with Preferred embodiment discloses as above, however not to limit the present invention, any person skilled in the art is not departing from this In the range of inventive technique scheme, make a little variation using the technology contents of the disclosure above or modification is equal to equivalent reality Case is applied, is belonged in the range of technical solution.

Claims (10)

1. a kind of clearing case, which is characterized in that including：It babinet, the camera being set in the babinet and is set to described Picture recognition module in babinet,
The shooting angle of the camera covers the region that commodity are placed in the babinet；
Described image identification module is connect with the camera, is identified the merchandise news in the image of commodity to be detected and is generated knot Calculate information.
2. clearing case according to claim 1, which is characterized in that
The camera obtains the image containing commodity to be detected；
The image containing commodity to be detected is inputted the identifying system based on neural network by described image identification module, described Identifying system based on neural network exports merchandise news to be detected.
3. clearing case according to claim 2, which is characterized in that
The image for containing commodity to be detected that obtains includes at least angle and/or different first images of the depth of field to N images；N ≥2；
The neural network recognization system includes the first nerves network based on region convolutional neural networks；The commodity identification side Method includes step：
(a1) described first image is inputted into the first nerves network, the first nerves network exports the first merchandise news； The N images are inputted into the first nerves network, the first nerves network exports N merchandise newss；
(b1) judge whether the N merchandise newss are included in first merchandise news；
If judging result is yes, then exported first merchandise news as the merchandise news to be detected；
If judging result is no, then feedback result is exported.
4. clearing case according to claim 3, which is characterized in that judge the N merchandise newss in the step (b1) Whether the method being included in first merchandise news is to judge whether the type of merchandize in the N merchandise newss deposits It is in first merchandise news.
5. clearing case according to claim 3, which is characterized in that judge the N merchandise newss in the step (b1) Whether the method being included in first merchandise news is to judge whether the commodity amount in the N merchandise newss is less than Equal to the commodity amount in first merchandise news.
6. clearing case according to claim 1, which is characterized in that the clearing case further includes trigger module, the triggering Module is connected with camera triggering；
The clearing case further includes dynamic code module connect with described image identification module, described in the dynamic code module acquisition Payment code is generated after settlement information, and shows the payment code and the settlement information.
7. according to clearing case according to any one of claims 1 to 6, which is characterized in that the clearing case further includes consumption number According to analysis module, the consumption data analysis module is set in the babinet and is connected with the dynamic code module, described Consumption data analysis module is for statistical analysis to the settlement information, obtains consumption number of times and/or consumption number in the unit interval Amount is more than the trade name of preset value.
8. a kind of settlement method, which is characterized in that include the following steps：
Step S100：Commodity to be settled accounts are put into clearing case, obtain the image containing commodity to be detected；
Step S200：It identifies the merchandise news in the image of the commodity to be detected and generates settlement information；
Step S300：Payment code is generated after obtaining the settlement information, and shows the payment code and the settlement information.
9. settlement method according to claim 8, which is characterized in that the step S200 is by running neural network recognization Merchandise news in the image of commodity to be detected described in system identification.
10. settlement method according to claim 8, which is characterized in that the step S200 is further comprising the steps of：To institute It states that settlement information is for statistical analysis, obtains the trade name that consumption number of times and/or consumption quantity in the unit interval are more than preset value Claim.
CN201810050328.2A 2017-09-27 2018-01-18 Settle accounts case and its settlement method Pending CN108269369A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710891007 2017-09-27
CN2017108910070 2017-09-27

Publications (1)

Publication Number Publication Date
CN108269369A true CN108269369A (en) 2018-07-10

Family

ID=62775868

Family Applications (6)

Application Number Title Priority Date Filing Date
CN201820085363.3U Expired - Fee Related CN209132890U (en) 2017-09-27 2018-01-18 Settle accounts case
CN201810050328.2A Pending CN108269369A (en) 2017-09-27 2018-01-18 Settle accounts case and its settlement method
CN201810135196.3A Expired - Fee Related CN108320404B (en) 2017-09-27 2018-02-09 Commodity identification method and device based on neural network and self-service cash register
CN201811133576.XA Expired - Fee Related CN109559457B (en) 2017-09-27 2018-09-27 Neural network-based commodity identification cash registering method and self-service cash registering desk
CN201811133556.2A Expired - Fee Related CN109559454B (en) 2017-09-27 2018-09-27 Neural network-based commodity identification cash registering method and self-service cash registering desk
CN201811134347.XA Expired - Fee Related CN109559458B (en) 2017-09-27 2018-09-27 Neural network-based commodity identification cash registering method and self-service cash registering desk

Family Applications Before (1)

Application Number Title Priority Date Filing Date
CN201820085363.3U Expired - Fee Related CN209132890U (en) 2017-09-27 2018-01-18 Settle accounts case

Family Applications After (4)

Application Number Title Priority Date Filing Date
CN201810135196.3A Expired - Fee Related CN108320404B (en) 2017-09-27 2018-02-09 Commodity identification method and device based on neural network and self-service cash register
CN201811133576.XA Expired - Fee Related CN109559457B (en) 2017-09-27 2018-09-27 Neural network-based commodity identification cash registering method and self-service cash registering desk
CN201811133556.2A Expired - Fee Related CN109559454B (en) 2017-09-27 2018-09-27 Neural network-based commodity identification cash registering method and self-service cash registering desk
CN201811134347.XA Expired - Fee Related CN109559458B (en) 2017-09-27 2018-09-27 Neural network-based commodity identification cash registering method and self-service cash registering desk

Country Status (2)

Country Link
CN (6) CN209132890U (en)
WO (1) WO2019062017A1 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109840503A (en) * 2019-01-31 2019-06-04 深兰科技（上海）有限公司 A kind of method and device of determining information
CN109872168A (en) * 2019-03-15 2019-06-11 南京亿猫信息技术有限公司 A kind of anti-cheating system based on shopping tool
CN112132105A (en) * 2020-10-09 2020-12-25 深圳市智百威科技发展有限公司 Cash receiving method based on commodity visual intelligent identification
CN114267139A (en) * 2021-12-13 2022-04-01 湖南省金河计算机科技有限公司 Intelligent POS machine system based on Internet of things, control method thereof and electronic equipment

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108986357A (en) * 2018-08-21 2018-12-11 深圳码隆科技有限公司 Merchandise news determines method, system and self-service system
CN109035630A (en) * 2018-08-21 2018-12-18 深圳码隆科技有限公司 Commodity information identification method and system
CN109472205B (en) * 2018-10-09 2021-07-30 深兰科技（上海）有限公司 Commodity identification method, commodity identification device, and storage medium
EP3867886A1 (en) 2018-10-17 2021-08-25 Supersmart Ltd. Imaging used to reconcile cart weight discrepancy
CN111220251A (en) * 2018-11-26 2020-06-02 重庆小雨点小额贷款有限公司 Method and device for determining number of cultured products, terminal and storage medium
CN111222388B (en) * 2018-12-11 2023-09-19 图灵通诺（北京）科技有限公司 Settlement method and system based on visual recognition
CN109684950A (en) * 2018-12-12 2019-04-26 联想(北京)有限公司 A kind of processing method and electronic equipment
CN109360358A (en) * 2018-12-25 2019-02-19 北京旷视科技有限公司 Payment devices, payment system and self-service accounts settling method
CN109711473A (en) * 2018-12-29 2019-05-03 北京沃东天骏信息技术有限公司 Item identification method, equipment and system
CN109741144B (en) * 2019-01-04 2021-08-10 南京旷云科技有限公司 Commodity verification method and device, host and equipment
CN109859418A (en) * 2019-01-23 2019-06-07 王强 A kind of shopping settlement method in unmanned market
CN109977826B (en) * 2019-03-15 2021-11-02 百度在线网络技术（北京）有限公司 Object class identification method and device
CN111368613B (en) * 2019-05-22 2023-04-25 深圳深知未来智能有限公司 Novel rapid loading method for intelligent unmanned sales counter
NO20230610A1 (en) * 2019-08-20 2022-02-16 Aquaticode Ltd Methods and systems for recognizing fish and traits of fish through non-invasive means
CN110956459A (en) * 2019-11-28 2020-04-03 浙江由由科技有限公司 Commodity processing method and system
CN111126384A (en) * 2019-12-12 2020-05-08 创新奇智(青岛)科技有限公司 Commodity classification system and method based on feature fusion
CN110942050A (en) * 2019-12-20 2020-03-31 华南理工大学 Automatic vending machine commodity identification system based on image processing
CN113939832A (en) 2020-05-13 2022-01-14 鸿富锦精密工业(武汉)有限公司 Object identification system and related device
CN111724546A (en) * 2020-05-20 2020-09-29 安徽谊品弘科技有限公司 Give birth to bright supermarket intelligence and receive silver-colored platform
CN111860629A (en) * 2020-06-30 2020-10-30 北京滴普科技有限公司 Jewelry classification system, method, device and storage medium
CN114550385A (en) * 2020-11-26 2022-05-27 融讯伟业（北京）科技有限公司 Intelligent weighing device and intelligent weighing method based on computer vision technology
CN113178032A (en) * 2021-03-03 2021-07-27 北京迈格威科技有限公司 Video processing method, system and storage medium
CN112700312A (en) * 2021-03-24 2021-04-23 浙江口碑网络技术有限公司 Method, server, client and system for settling account of object
JP2022149539A (en) * 2021-03-25 2022-10-07 東芝テック株式会社 Information processing device, program, and behavior analysis system
CN113627393B (en) * 2021-09-09 2024-03-29 河北工业大学 Commodity identification method based on dual neural network and intelligent vending system
CN114399619A (en) * 2022-01-14 2022-04-26 南京苏胜天信息科技有限公司 Machine vision image recognition system and processing method thereof
CN114999059A (en) * 2022-05-24 2022-09-02 蔡钦森 Unmanned sales counter system based on neural network
JP2024082168A (en) * 2022-12-07 2024-06-19 富士通株式会社 Information processing program and information processing device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103424404A (en) * 2013-08-01 2013-12-04 谢绍鹏 Material quality detection method and system
CN104282094A (en) * 2013-07-02 2015-01-14 张�杰 Automatic cash register used in supermarket
CN105046842A (en) * 2014-04-18 2015-11-11 东芝泰格有限公司 Reading device and goods selling data process device
JP2016110536A (en) * 2014-12-10 2016-06-20 カシオ計算機株式会社 Merchandise processing system and merchandise processing method
CN107329925A (en) * 2017-06-29 2017-11-07 卜涛 A kind of intelligent electronic-scale, supermarket's pricing system and method using it
JP2017220198A (en) * 2016-06-01 2017-12-14 サインポスト株式会社 Information processing system

Family Cites Families (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5965861A (en) * 1997-02-07 1999-10-12 Ncr Corporation Method and apparatus for enhancing security in a self-service checkout terminal
JP2009163331A (en) * 2007-12-28 2009-07-23 Toshiba Tec Corp Merchandise sales data processor and computer program
US8571298B2 (en) * 2008-12-23 2013-10-29 Datalogic ADC, Inc. Method and apparatus for identifying and tallying objects
CN101477729A (en) * 2008-12-30 2009-07-08 于忠清 Self-help meal sale system and information processing method of the system
CN101552911B (en) * 2009-04-14 2012-09-26 重庆市海普软件产业有限公司 A remote outdoor monitoring apparatus and automatic monitoring control method
US8615476B2 (en) * 2009-04-15 2013-12-24 University Of Southern California Protecting military perimeters from approaching human and vehicle using biologically realistic neural network
CN102013019A (en) * 2010-12-03 2011-04-13 深圳市乐州光电技术有限公司 Information image recognition system and method
JP5554796B2 (en) * 2011-09-06 2014-07-23 東芝テック株式会社 Information processing apparatus and program
CN103093208B (en) * 2013-01-23 2016-04-13 中国科学技术大学 A kind of method and system of fruits and vegetables identification
US10242036B2 (en) * 2013-08-14 2019-03-26 Ricoh Co., Ltd. Hybrid detection recognition system
CN103617681A (en) * 2013-11-11 2014-03-05 青岛中科英泰商用***有限公司 Supermarket self-service settlement method and device with reminding function and multiple loss prevention measures
CN103632463A (en) * 2013-11-14 2014-03-12 成都博约创信科技有限责任公司 Settlement method based on image identification technology
CN104077842B (en) * 2014-07-02 2017-02-15 浙江大学 Freestyle restaurant self-service payment device based on image identification and application method of device
CN104077577A (en) * 2014-07-03 2014-10-01 浙江大学 Trademark detection method based on convolutional neural network
CN104103135A (en) * 2014-07-17 2014-10-15 张国铭 Radio frequency identification based goods automatic clearing error correction system and method
CN104240411A (en) * 2014-07-23 2014-12-24 南京工程学院 Intelligent shopping device for supermarket commodities in bulk
US10074041B2 (en) * 2015-04-17 2018-09-11 Nec Corporation Fine-grained image classification by exploring bipartite-graph labels
CN204706039U (en) * 2015-05-29 2015-10-14 杭州晟元芯片技术有限公司 A kind of bar code identifying device based on many camera lenses
CN106874296B (en) * 2015-12-14 2021-06-04 阿里巴巴集团控股有限公司 Method and device for identifying style of commodity
CN105719188B (en) * 2016-01-22 2017-12-26 平安科技（深圳）有限公司 The anti-method cheated of settlement of insurance claim and server are realized based on plurality of pictures uniformity
CN106169135A (en) * 2016-02-01 2016-11-30 唐超(北京)科技有限公司 Self-checkout loss prevention method of calibration and system
CN106203533B (en) * 2016-07-26 2019-09-20 厦门大学 Deep learning face verification method based on combined training
CN106326852A (en) * 2016-08-18 2017-01-11 无锡天脉聚源传媒科技有限公司 Commodity identification method and device based on deep learning
CN106384087A (en) * 2016-09-05 2017-02-08 大连理工大学 Identity identification method based on multi-layer network human being features
CN106446937A (en) * 2016-09-08 2017-02-22 天津大学 Multi-convolution identifying system for AER image sensor
JP6165950B1 (en) * 2016-09-20 2017-07-19 ヤフー株式会社 Information processing apparatus, information processing method, and information processing program
CN106340137A (en) * 2016-11-14 2017-01-18 贵州师范学院 Automatic weighing machine based on deep learning and program control method thereof
CN106529494A (en) * 2016-11-24 2017-03-22 深圳市永达电子信息股份有限公司 Human face recognition method based on multi-camera model
CN106960214B (en) * 2017-02-17 2020-11-20 北京一维弦科技有限责任公司 Object recognition method based on image
CN106886795B (en) * 2017-02-17 2021-01-15 北京一维弦科技有限责任公司 Object identification method based on salient object in image
CN106959149A (en) * 2017-04-05 2017-07-18 西安电子科技大学 Fruits and vegetables are weighed and valuation intelligent electronic-scale automatically
CN107122730A (en) * 2017-04-24 2017-09-01 乐金伟 Free dining room automatic price method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104282094A (en) * 2013-07-02 2015-01-14 张�杰 Automatic cash register used in supermarket
CN103424404A (en) * 2013-08-01 2013-12-04 谢绍鹏 Material quality detection method and system
CN105046842A (en) * 2014-04-18 2015-11-11 东芝泰格有限公司 Reading device and goods selling data process device
JP2016110536A (en) * 2014-12-10 2016-06-20 カシオ計算機株式会社 Merchandise processing system and merchandise processing method
JP2017220198A (en) * 2016-06-01 2017-12-14 サインポスト株式会社 Information processing system
CN107329925A (en) * 2017-06-29 2017-11-07 卜涛 A kind of intelligent electronic-scale, supermarket's pricing system and method using it

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109840503A (en) * 2019-01-31 2019-06-04 深兰科技（上海）有限公司 A kind of method and device of determining information
CN109872168A (en) * 2019-03-15 2019-06-11 南京亿猫信息技术有限公司 A kind of anti-cheating system based on shopping tool
CN112132105A (en) * 2020-10-09 2020-12-25 深圳市智百威科技发展有限公司 Cash receiving method based on commodity visual intelligent identification
CN114267139A (en) * 2021-12-13 2022-04-01 湖南省金河计算机科技有限公司 Intelligent POS machine system based on Internet of things, control method thereof and electronic equipment

Also Published As

Publication number Publication date
CN108320404A (en) 2018-07-24
CN109559457B (en) 2021-09-21
CN109559457A (en) 2019-04-02
CN109559458A (en) 2019-04-02
CN209132890U (en) 2019-07-19
CN109559454A (en) 2019-04-02
CN109559454B (en) 2021-09-21
CN109559458B (en) 2021-09-21
CN108320404B (en) 2020-04-03
WO2019062017A1 (en) 2019-04-04

Similar Documents

Publication Publication Date Title
CN209132890U (en) Settle accounts case
CN208188867U (en) One kind is for nobody self-service product identification system
CN108780596B (en) Information processing system
CN108491799B (en) Intelligent sales counter commodity management method and system based on image recognition
CN107808469B (en) Self-service supermarket system
CN108537994A (en) View-based access control model identifies and the intelligent commodity settlement system and method for weight induction technology
CN109508974B (en) Shopping checkout system and method based on feature fusion
CN109190705A (en) Self-service method, apparatus and system
US20100023400A1 (en) Image Recognition Authentication and Advertising System
CN109979130A (en) A kind of commodity automatic identification and clearing sales counter, method and system
CN106781014A (en) Automatic vending machine and its operation method
CN111222870B (en) Settlement method, device and system
CN108198315A (en) A kind of auth method and authentication means
CN110033298A (en) Information processing equipment and its control method, system and storage medium
CN108564420B (en) Intelligent retail system network
KR20160122528A (en) Method for appraising item
CN108140209A (en) Information processing unit, information processing method and the recording medium wherein having program stored therein
CN107610379A (en) One kind shopping recognition methods and shopping cart identification device
CN109727378A (en) Nobody fresh sells cabinet system a kind of gravity sensing
CN109801438A (en) A kind of intelligent sales counter based on recognition of face and interactive voice
JP5193215B2 (en) Aggregation system, aggregation device, and aggregation method
WO2019127618A1 (en) Settlement method, device and system
CN114119001B (en) Intelligent management and analysis platform for cash collection of commodity sales based on artificial intelligence
CN110473337A (en) A kind of automatic vending machine based on image collecting device
CN108052928A (en) A kind of user credit degree evaluation method, device and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20180710