CN106781121A - The supermarket self-checkout intelligence system of view-based access control model analysis - Google Patents
The supermarket self-checkout intelligence system of view-based access control model analysis Download PDFInfo
- Publication number
- CN106781121A CN106781121A CN201611152750.6A CN201611152750A CN106781121A CN 106781121 A CN106781121 A CN 106781121A CN 201611152750 A CN201611152750 A CN 201611152750A CN 106781121 A CN106781121 A CN 106781121A
- Authority
- CN
- China
- Prior art keywords
- commodity
- module
- bar code
- weight
- checkout
- 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
Links
Classifications
-
- 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
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G3/00—Alarm indicators, e.g. bells
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/28—Recognition of hand or arm movements, e.g. recognition of deaf sign language
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/0036—Checkout procedures
-
- 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
- G07G1/0063—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 geometric dimensions of the article of which the code is read, such as its size or height, for the verification of the registration
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
- G07G1/00—Cash registers
- G07G1/0036—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
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Accounting & Taxation (AREA)
- Multimedia (AREA)
- General Health & Medical Sciences (AREA)
- Psychiatry (AREA)
- Social Psychology (AREA)
- Human Computer Interaction (AREA)
- Geometry (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Cash Registers Or Receiving Machines (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of supermarket self-checkout intelligence system of view-based access control model analysis, camera is used for gathering image for other modules；Merchandise news extraction module, weight and image information for extracting each commodity after user enters commodity area in preparation, is additionally operable to obtain the bar code information of each commodity in barcode scanning region；Price display module, the price for showing corresponding commodity after the bar code information for extracting commodity, and the price of each commodity is added the final total price of display；Commodity identification module, the identification and checking of commodity are carried out for the bar code according to commodity, weight and image information；Visual analysis module, for after user enters commodity area in preparation, the behavior using video tracking technology to user to be analyzed identification, until settling accounts successfully；Video record module, for recording checkout video information and preserving.The system can improve the automaticity of Supermarket account-settling system, and cost-effective, improve efficiency, it is ensured that stability.
Description
Technical field
The present invention relates to supermarket self-checkout, art of image analysis, more particularly to the supermarket that a kind of view-based access control model is analyzed is certainly
Help checkout intelligence system.
Background technology
At present, with Internet technology and technical development of computer, especially hardware manufacturing is developed rapidly with machine learning, profit
Many simple repeater's classes work in can replacing life with machine learning.It is contemplated that, over time, manually
Intelligence will be gradually ripe, and machine will replace the side's aspect in life.Meanwhile, network payment has been applied in the side in daily life
Aspect face, including existing Supermarket account-settling system.
Existing Supermarket account-settling system is, it is necessary to a large amount of cashiers do the work of same repetition daily.For cost and effect
Rate problem, by the image recognition based on machine learning and Video Analysis Technology apply supermarket self-checkout system in order to
Supermarket system quality and office efficiency are improved, thus, the visual analysis of commodity identification and human body behavior is to realize automation knot
The necessity of account.
However, in existing supermarket self-checkout system, be all built upon on the basis of customer's sincerity, also without a kind of effective
Means complete abnormal behaviour present in check-out process, to ensure and meet accurate Supermarket account-settling system, stabilization, efficient
It is strict with.
The content of the invention
It is an object of the invention to provide a kind of supermarket self-checkout intelligence system of view-based access control model analysis, supermarket can be improved
The automaticity of checkout system, and it is cost-effective, improve efficiency, it is ensured that stability.
The purpose of the present invention is achieved through the following technical solutions：
A kind of supermarket self-checkout intelligence system of view-based access control model analysis, including：Camera, merchandise news extraction module,
Price display module, commodity identification module, visual analysis module and video record module；Wherein：
Camera, uses for gathering image for merchandise news extraction module, visual analysis module and video record module；
Merchandise news extraction module, the commodity of purchase extract each after entering commodity area in preparation needed for for being carried in user
The weight and image information of commodity, are additionally operable to obtain the bar code information of each commodity in barcode scanning region, and by the bar of each commodity
Code, weight and image information are associated；
Price display module, the price for showing corresponding commodity after the bar code information for extracting commodity, and by each commodity
Price be added the final total price of display；
Commodity identification module, the identification and checking of commodity are carried out for the bar code according to commodity, weight and image information；
Visual analysis module, for when user enter commodity area in preparation after, the behavior using video tracking technology to user
Identification is analyzed, until settling accounts successfully；
Video record module, for recording checkout video information and preserving.
The merchandise news extraction module includes：Bar code extraction module, commodity weight extraction module, commodity image is carried
Modulus block；
Commodity weight extraction module, for by calculate in commodity area in preparation on weighing unit total commodity weight with take away it is current
The difference of the weight after commodity determines current commodity weight；
Commodity image extraction module, before and after being removed for current commodity in the commodity area in preparation by camera Real-time Collection
Image make the difference obtain current commodity image information；
The bar code extraction module, the bar code information for obtaining current commodity by scanner.
The identification and checking that the bar code according to commodity, weight and image information carry out commodity include：
To extracting multiple images characteristic point in the image information of current commodity；
By the use of the multiple images characteristic point extracted as word, retrieved in characteristic point index database, choose most like one
Part commodity are used as PRELIMINARY RESULTS；
Image information to PRELIMINARY RESULTS and current commodity carries out characteristic point geometric match, and result is known in removal by mistake；
The retrieval result after knowledge result by mistake will be removed to be merged with the weight and bar code information of current commodity, to current commodity
Verified.
Behavior of the utilization video tracking technology to user is analyzed identification to be included：
Skeleton positioning, and then precise positioning hand are carried out using depth map and color diagram；
Running orbit to hand is tracked, and utilizes machine learning classification method, and improper gesture is known
Not.
The system also includes：
Settlement module, for obtaining the payment code that user shows by scanner, completes the clearing of commodity.
As seen from the above technical solution provided by the invention, the mode for being merged using much information is known to commodity
Not, with reliability；The behavior of customer is tracked and analyzed simultaneously, automatically shopper checkout process is exercised supervision, save people
Power cost；Multiple module cooperations, it is ensured that the stability of whole system.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to that will use needed for embodiment description
Accompanying drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this
For the those of ordinary skill in field, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings
Accompanying drawing.
Fig. 1 is a kind of signal of the supermarket self-checkout intelligence system of view-based access control model analysis provided in an embodiment of the present invention
Figure；
Fig. 2 be it is provided in an embodiment of the present invention for view-based access control model analysis supermarket self-checkout intelligence system implementing procedure
Figure；
Fig. 3 is the flow chart of extraction commodity image information provided in an embodiment of the present invention；
Fig. 4 is the flow chart of commodity identification provided in an embodiment of the present invention and checking.
Specific embodiment
With reference to the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Ground description, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on this
Inventive embodiment, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made
Example, belongs to protection scope of the present invention.
Fig. 1 is a kind of signal of the supermarket self-checkout intelligence system of view-based access control model analysis provided in an embodiment of the present invention
Figure.As shown in figure 1, it mainly includes：Camera, merchandise news extraction module, price display module, commodity identification module, regard
Feel analysis module and video record module；Wherein：
Camera, for gathering image information for merchandise news extraction module, visual analysis module and video record module
Use；
Merchandise news extraction module, the commodity of purchase extract each after entering commodity area in preparation needed for for being carried in user
The weight and image information of commodity, are additionally operable to obtain the bar code information of each commodity in barcode scanning region, and by the bar of each commodity
Code, weight and image information are associated；
Price display module, the price for showing corresponding commodity after the bar code information for extracting commodity, and by each commodity
Price be added the final total price of display；
Commodity identification module, the identification and checking of commodity are carried out for the bar code according to commodity, weight and image information；
Visual analysis module, for when user enter commodity area in preparation after, the behavior using video tracking technology to user
Identification is analyzed, until settling accounts successfully；
Video record module, for recording checkout video information and preserving.
In order to make it easy to understand, being illustrated with reference to specific example.
As shown in Fig. 2 the implementing procedure figure of the supermarket self-checkout intelligence system for view-based access control model analysis.It is main in scene
It is divided into three regions：Commodity area in preparation, barcode scanning area, area is settled accounts；Corresponding system is broadly divided into three phases when implementing：Commodity
Preparatory stage, barcode scanning stage, accounts settling phase；It is specific as follows：
First, commodity preparatory stage and barcode scanning stage.
When user carries the commodity that need to be bought into commodity area in preparation, then into the commodity preparatory stage；Now, vision point
Analysis module is started working, and its behavior using video tracking technology to user is analyzed identification；Specifically：Using depth map and
Color diagram carries out skeleton positioning, and then precise positioning hand；Running orbit to hand is tracked, and utilizes engineering
Sorting technique (sorting technique such as SVM, Adaboost, deep learning) is practised, improper gesture is identified.Meanwhile, video
Record the video that module also begins to store camera collection.
User into, it is necessary to commodity are spread on weighing unit (weight calculation platform), then taking one by one again during commodity area in preparation
Play the bar code that commodity scan corresponding commodity to scanner；Therefore, the two stages are put together introduction in this example.At this
During merchandise news extraction module can start working, to extract weight, bar code and the image information of each commodity, these information
Can be by the bar code extraction module in merchandise news extraction module, commodity weight extraction module, commodity image extraction module
To complete；Wherein：
Commodity weight extraction module is according to total commodity weight on weighing unit and takes the difference of the weight after current commodity away,
To determine current commodity weight；Exemplary, the gross weight N before commodity A will be picked up and subtract the gross weight picked up after commodity A
N, you can the weight for obtaining commodity A is N-n.
Commodity image extraction module, before and after being removed for current commodity in the commodity area in preparation by camera Real-time Collection
Image make the difference obtain current commodity image information.As shown in figure 3, the flow chart to extract commodity image information, the module
Need to call camera collection image, extraction user picks up the synchronous foreground image before commodity A, extract user and pick up commodity A
Asynchronous foreground image afterwards, the two is made the difference can obtain commodity location A region, such that it is able to obtain the business in the region
Product image.Foreground extracting method can include：MOG (Gaussian mixture model-universal background model), MOG2 (adaptive Gauss mixing background) etc.
Foreground extraction or background modeling.
Bar code extraction module, directly obtains the bar code information of current commodity by scanner.
After user picks up a commodity from weighing unit, the weight of the commodity, image can be straight by merchandise news extraction module
Obtain, meanwhile, then the bar code information that commodity can be directly obtained by the scanner in barcode scanning area；Based on such flow, very
The above three information of same commodity can be readily associated.
Additionally, after the bar code information of scanning to commodity, the price display module in barcode scanning area can show the valency of corresponding commodity
Lattice, and active user scanning all commodity total price.
Meanwhile, commodity identification module can also be known according to the information of merchandise news extraction module extraction to each commodity
Not with checking；The purpose of checking is in order to confirm commodity authenticity, for example, whether the article in commodity is exchanged.
As shown in figure 4, commodity identification mainly includes with the process of checking：
Feature point extraction：To extracting multiple images characteristic point in the image information of current commodity；Can include：SIFT、
The local feature regions such as SURF.
Characteristic point indexes library searching：By the use of the multiple images characteristic point extracted as word, examined in characteristic point index database
Rope, chooses most like a part of commodity as PRELIMINARY RESULTS；
Geometry is post-processed：Image information to PRELIMINARY RESULTS and current commodity carries out characteristic point geometric match, and removal is known by mistake
As a result；
Multi-information acquisition is post-processed：The weight and bar code information for knowing the retrieval result after result and current commodity by mistake will be removed
Fusion, to be verified to current commodity.
If checking determines that commodity are errorless, any prompting will not be returned to；If a certain commodity authentication failed, is notified that
Administrative staff do manual authentication of commodity etc..
2nd, accounts settling phase.
After all commodity barcode scannings terminate, then user's clearing are waited；Now, settlement module starts, and it passes through scanner
The payment code that user shows is obtained, the clearing of commodity are completed；So far, active user settles accounts successfully, visual analysis module and video
Recording module can wait next bit user to enter commodity Accreditation Waiting Area with break-off.
Can provide a kind of convenient, fast, reliable with engineering for Supermarket account-settling system by the embodiments of the present invention
The supermarket self-help shopping accounting system processing scheme of auxiliary is practised, in this embodiment, need not manually be operated substantially, saved big
Amount human cost, and shopper checkout flow can be exercised supervision analysis and archive.
The realization of the embodiments of the present invention can cause customer in supermarket self-checkout, and commodity are identified with meter
Number, is performed an analysis extremely to customer behavior, and can effectively ensure that the steady ordered of self-checkout flow is carried out.
It is apparent to those skilled in the art that, for convenience and simplicity of description, only with above-mentioned each function
The division of module is carried out for example, in practical application, as needed can distribute by different function moulds above-mentioned functions
Block is completed, will the internal structure of device be divided into different functional modules, to complete all or part of work(described above
Energy.
The above, the only present invention preferably specific embodiment, but protection scope of the present invention is not limited thereto,
Any one skilled in the art in the technical scope of present disclosure, the change or replacement that can be readily occurred in,
Should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claims
Enclose and be defined.
Claims (5)
1. the supermarket self-checkout intelligence system that a kind of view-based access control model is analyzed, it is characterised in that including：Camera, merchandise news
Extraction module, price display module, commodity identification module, visual analysis module and video record module；Wherein：
Camera, uses for gathering image for merchandise news extraction module, visual analysis module and video record module；
Merchandise news extraction module, the commodity of purchase extract each commodity after entering commodity area in preparation needed for for being carried in user
Weight and image information, be additionally operable to obtain the bar code information of each commodity in barcode scanning region, and by the bar code of each commodity, weight
Amount and image information are associated；
Price display module, the price for showing corresponding commodity after the bar code information for extracting commodity, and by the valency of each commodity
Lattice are added the final total price of display；
Commodity identification module, the identification and checking of commodity are carried out for the bar code according to commodity, weight and image information；
Visual analysis module, for after user enters commodity area in preparation, the behavior using video tracking technology to user to be carried out
Analysis identification, until settling accounts successfully；
Video record module, for recording checkout video information and preserving.
2. the supermarket self-checkout intelligence system that a kind of view-based access control model according to claim 1 is analyzed, it is characterised in that institute
Stating merchandise news extraction module includes：Bar code extraction module, commodity weight extraction module, commodity image extraction module；
Commodity weight extraction module, for by calculating in commodity area in preparation on weighing unit total commodity weight and taking current commodity away
The difference of weight afterwards determines current commodity weight；
Commodity image extraction module, front and rear figure is removed for current commodity in the commodity area in preparation by camera Real-time Collection
The image information of current commodity is obtained as making the difference；
The bar code extraction module, the bar code information for obtaining current commodity by scanner.
3. the supermarket self-checkout intelligence system that a kind of view-based access control model according to claim 1 is analyzed, it is characterised in that institute
Stating the bar code according to commodity, weight and image information and carrying out the identification and checking of commodity includes：
To extracting multiple images characteristic point in the image information of current commodity；
By the use of the multiple images characteristic point extracted as word, retrieved in characteristic point index database, choose a most like part
Commodity are used as PRELIMINARY RESULTS；
Image information to PRELIMINARY RESULTS and current commodity carries out characteristic point geometric match, and result is known in removal by mistake；
The retrieval result after knowledge result by mistake will be removed to be merged with the weight and bar code information of current commodity, to carry out current commodity
Checking.
4. the supermarket self-checkout intelligence system that a kind of view-based access control model according to claim 1 is analyzed, it is characterised in that institute
Stating the behavior using video tracking technology to user and being analyzed identification includes：
Skeleton positioning, and then precise positioning hand are carried out using depth map and color diagram；
Running orbit to hand is tracked, and utilizes machine learning classification method, and improper gesture is identified.
5. the supermarket self-checkout intelligence system that a kind of view-based access control model according to claim 1 is analyzed, it is characterised in that should
System also includes：
Settlement module, for obtaining the payment code that user shows by scanner, completes the clearing of commodity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611152750.6A CN106781121A (en) | 2016-12-14 | 2016-12-14 | The supermarket self-checkout intelligence system of view-based access control model analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611152750.6A CN106781121A (en) | 2016-12-14 | 2016-12-14 | The supermarket self-checkout intelligence system of view-based access control model analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106781121A true CN106781121A (en) | 2017-05-31 |
Family
ID=58888461
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611152750.6A Pending CN106781121A (en) | 2016-12-14 | 2016-12-14 | The supermarket self-checkout intelligence system of view-based access control model analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106781121A (en) |
Cited By (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107578582A (en) * | 2017-08-31 | 2018-01-12 | 昆山中骏博研互联网科技有限公司 | A kind of batch commodity charge system and charging method |
| CN107610381A (en) * | 2017-10-19 | 2018-01-19 | 安徽小豆网络科技有限公司 | A kind of self-service cashier's machine of view-based access control model image recognition |
| CN108171903A (en) * | 2018-01-04 | 2018-06-15 | 广州逗号智能零售有限公司 | A kind of various visual angles calibration equipment and method based on pressure sensor device |
| CN108364422A (en) * | 2018-02-24 | 2018-08-03 | 广州逗号智能零售有限公司 | Self-service method and device |
| CN108981885A (en) * | 2018-08-23 | 2018-12-11 | 深圳码隆科技有限公司 | Shopping cart commodity checking method and its device in a kind of open shopping environment |
| CN109063570A (en) * | 2018-07-04 | 2018-12-21 | 青岛海信智能商用系统股份有限公司 | commodity recognition training method and system |
| CN109409175A (en) * | 2017-08-16 | 2019-03-01 | 图灵通诺（北京）科技有限公司 | Settlement method, device and system |
| WO2019057168A1 (en) * | 2017-09-25 | 2019-03-28 | 阿里巴巴集团控股有限公司 | Goods order processing method and apparatus, server, shopping terminal, and system |
| WO2019062018A1 (en) * | 2017-09-27 | 2019-04-04 | 缤果可为（北京）科技有限公司 | Automatic goods payment method and apparatus, and self-service checkout counter |
| CN109697801A (en) * | 2017-10-23 | 2019-04-30 | 北京京东尚科信息技术有限公司 | Self-help settlement equipment, method, apparatus, medium and electronic equipment |
| CN109712345A (en) * | 2018-12-10 | 2019-05-03 | 成都慧联天下信息技术有限公司 | A kind of quick cash method not changing existing cash register system and its plug-in system |
| WO2019096228A1 (en) * | 2017-11-15 | 2019-05-23 | 深圳码隆科技有限公司 | Neural network-based self-service sales method and apparatus |
| WO2019128908A1 (en) * | 2017-12-26 | 2019-07-04 | 阿里巴巴集团控股有限公司 | Data object information processing method, apparatus, and system, and electronic device |
| WO2019144690A1 (en) * | 2017-12-18 | 2019-08-01 | 上海云拿智能科技有限公司 | Image monitoring-based commodity sensing system and commodity sensing method |
| CN110264179A (en) * | 2018-03-12 | 2019-09-20 | 阿里巴巴集团控股有限公司 | Commodity settlement method, device, system and electronic equipment |
| CN110276305A (en) * | 2019-06-25 | 2019-09-24 | 广州众聚智能科技有限公司 | A kind of dynamic commodity recognition methods |
| TWI675337B (en) * | 2018-03-13 | 2019-10-21 | 新漢股份有限公司 | Unmanned goods management system and unmanned goods management method |
| CN110378361A (en) * | 2018-11-23 | 2019-10-25 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus for Articles detecting of intensively taking |
| CN110427858A (en) * | 2019-07-26 | 2019-11-08 | 广州利科科技有限公司 | A kind of personage's Activity recognition track approach of combination image |
| CN110555356A (en) * | 2018-06-01 | 2019-12-10 | 财团法人工业技术研究院 | Self-checkout system, method and device |
| CN111260685A (en) * | 2018-11-30 | 2020-06-09 | 阿里巴巴集团控股有限公司 | Video processing method and device and electronic equipment |
| CN111383405A (en) * | 2018-12-28 | 2020-07-07 | 阿里巴巴集团控股有限公司 | Vending processing method, system and device and cash registering processing method and device |
| CN111415461A (en) * | 2019-01-08 | 2020-07-14 | 虹软科技股份有限公司 | Article identification method and system and electronic equipment |
| CN111507702A (en) * | 2019-03-07 | 2020-08-07 | 河源市联腾实业有限公司 | Self-service shopping method for unmanned supermarket, computer readable storage medium and system |
| TWI773863B (en) * | 2018-06-01 | 2022-08-11 | 財團法人工業技術研究院 | Self-checkout system, method thereof and device therefor |
| CN115018492A (en) * | 2022-07-18 | 2022-09-06 | 北京师范大学 | Smart campus automatic checkout method and system based on artificial intelligence |
| CN116721411A (en) * | 2023-02-09 | 2023-09-08 | 浙江由由科技有限公司 | Bulk snack identification method based on machine learning |
| CN117132845A (en) * | 2023-10-27 | 2023-11-28 | 浙江由由科技有限公司 | Snack classification method by scanning code coordinated image recognition and checking through partition bars |
| CN116721411B (en) * | 2023-02-09 | 2024-06-04 | 浙江由由科技有限公司 | Bulk snack identification method based on machine learning |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050145693A1 (en) * | 2002-02-22 | 2005-07-07 | Wincor Nixdorf Internation Gmbh | Self-service product detection station |
| CN102063616A (en) * | 2010-12-30 | 2011-05-18 | 上海电机学院 | Automatic identification system and method for commodities based on image feature matching |
| CN102842190A (en) * | 2011-06-22 | 2012-12-26 | 东芝泰格有限公司 | Account-settling apparatus and data processing method of commodity sale |
| CN103632458A (en) * | 2013-11-08 | 2014-03-12 | 青岛中科英泰商用系统有限公司 | Self-settlement method with precision identification, customer reminding and video monitoring functions in supermarket |
| CN104036600A (en) * | 2014-06-20 | 2014-09-10 | 青岛创捷中云科技有限公司 | Self-checkout cash register |
| CN205563695U (en) * | 2016-03-14 | 2016-09-07 | 成坤 | Receipts snow cover is put with intelligence settlement network payment and theftproof function |
| 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 |
| CN106204226A (en) * | 2016-07-14 | 2016-12-07 | 广州极汇信息科技有限公司 | Self-checkout smart shopper method and device thereof |
-
2016
- 2016-12-14 CN CN201611152750.6A patent/CN106781121A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050145693A1 (en) * | 2002-02-22 | 2005-07-07 | Wincor Nixdorf Internation Gmbh | Self-service product detection station |
| CN102063616A (en) * | 2010-12-30 | 2011-05-18 | 上海电机学院 | Automatic identification system and method for commodities based on image feature matching |
| CN102842190A (en) * | 2011-06-22 | 2012-12-26 | 东芝泰格有限公司 | Account-settling apparatus and data processing method of commodity sale |
| CN103632458A (en) * | 2013-11-08 | 2014-03-12 | 青岛中科英泰商用系统有限公司 | Self-settlement method with precision identification, customer reminding and video monitoring functions in supermarket |
| CN104036600A (en) * | 2014-06-20 | 2014-09-10 | 青岛创捷中云科技有限公司 | Self-checkout cash register |
| 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 |
| CN205563695U (en) * | 2016-03-14 | 2016-09-07 | 成坤 | Receipts snow cover is put with intelligence settlement network payment and theftproof function |
| CN106204226A (en) * | 2016-07-14 | 2016-12-07 | 广州极汇信息科技有限公司 | Self-checkout smart shopper method and device thereof |
Non-Patent Citations (2)
| Title |
|---|
| 谈家谱、徐文胜: "基于Kinect的指尖检测与手势识别方法", 《计算机应用》 * |
| 雷帮军等: "《视频目标跟踪系统分布详解》", 31 December 2015, 国防工业出版社 * |
Cited By (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109409175B (en) * | 2017-08-16 | 2024-02-27 | 图灵通诺（北京）科技有限公司 | Settlement method, device and system |
| CN109409175A (en) * | 2017-08-16 | 2019-03-01 | 图灵通诺（北京）科技有限公司 | Settlement method, device and system |
| CN107578582A (en) * | 2017-08-31 | 2018-01-12 | 昆山中骏博研互联网科技有限公司 | A kind of batch commodity charge system and charging method |
| US11019180B2 (en) | 2017-09-25 | 2021-05-25 | Advanced New Technologies Co., Ltd. | Goods order processing method and apparatus, server, shopping terminal, and system |
| US10791199B2 (en) | 2017-09-25 | 2020-09-29 | Alibaba Group Holding Limited | Goods order processing method and apparatus, server, shopping terminal, and system |
| WO2019057168A1 (en) * | 2017-09-25 | 2019-03-28 | 阿里巴巴集团控股有限公司 | Goods order processing method and apparatus, server, shopping terminal, and system |
| WO2019062018A1 (en) * | 2017-09-27 | 2019-04-04 | 缤果可为（北京）科技有限公司 | Automatic goods payment method and apparatus, and self-service checkout counter |
| CN107610381A (en) * | 2017-10-19 | 2018-01-19 | 安徽小豆网络科技有限公司 | A kind of self-service cashier's machine of view-based access control model image recognition |
| CN109697801A (en) * | 2017-10-23 | 2019-04-30 | 北京京东尚科信息技术有限公司 | Self-help settlement equipment, method, apparatus, medium and electronic equipment |
| WO2019080674A1 (en) * | 2017-10-23 | 2019-05-02 | 北京京东尚科信息技术有限公司 | Self-service checkout device, method, apparatus, medium and electronic device |
| WO2019096228A1 (en) * | 2017-11-15 | 2019-05-23 | 深圳码隆科技有限公司 | Neural network-based self-service sales method and apparatus |
| WO2019144690A1 (en) * | 2017-12-18 | 2019-08-01 | 上海云拿智能科技有限公司 | Image monitoring-based commodity sensing system and commodity sensing method |
| US11501523B2 (en) * | 2017-12-18 | 2022-11-15 | Shanghai Cloudpick Smart Technology Co., Ltd. | Goods sensing system and method for goods sensing based on image monitoring |
| WO2019128908A1 (en) * | 2017-12-26 | 2019-07-04 | 阿里巴巴集团控股有限公司 | Data object information processing method, apparatus, and system, and electronic device |
| CN108171903A (en) * | 2018-01-04 | 2018-06-15 | 广州逗号智能零售有限公司 | A kind of various visual angles calibration equipment and method based on pressure sensor device |
| WO2019161651A1 (en) * | 2018-02-24 | 2019-08-29 | 广州逗号智能零售有限公司 | Unstaffed sales method and device |
| CN108364422A (en) * | 2018-02-24 | 2018-08-03 | 广州逗号智能零售有限公司 | Self-service method and device |
| CN110264179A (en) * | 2018-03-12 | 2019-09-20 | 阿里巴巴集团控股有限公司 | Commodity settlement method, device, system and electronic equipment |
| TWI675337B (en) * | 2018-03-13 | 2019-10-21 | 新漢股份有限公司 | Unmanned goods management system and unmanned goods management method |
| CN110555356A (en) * | 2018-06-01 | 2019-12-10 | 财团法人工业技术研究院 | Self-checkout system, method and device |
| TWI773863B (en) * | 2018-06-01 | 2022-08-11 | 財團法人工業技術研究院 | Self-checkout system, method thereof and device therefor |
| CN109063570A (en) * | 2018-07-04 | 2018-12-21 | 青岛海信智能商用系统股份有限公司 | commodity recognition training method and system |
| CN108981885A (en) * | 2018-08-23 | 2018-12-11 | 深圳码隆科技有限公司 | Shopping cart commodity checking method and its device in a kind of open shopping environment |
| CN110378361A (en) * | 2018-11-23 | 2019-10-25 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus for Articles detecting of intensively taking |
| CN111260685B (en) * | 2018-11-30 | 2023-03-31 | 阿里巴巴集团控股有限公司 | Video processing method and device and electronic equipment |
| CN111260685A (en) * | 2018-11-30 | 2020-06-09 | 阿里巴巴集团控股有限公司 | Video processing method and device and electronic equipment |
| CN109712345A (en) * | 2018-12-10 | 2019-05-03 | 成都慧联天下信息技术有限公司 | A kind of quick cash method not changing existing cash register system and its plug-in system |
| CN111383405A (en) * | 2018-12-28 | 2020-07-07 | 阿里巴巴集团控股有限公司 | Vending processing method, system and device and cash registering processing method and device |
| US11335092B2 (en) | 2019-01-08 | 2022-05-17 | Arcsoft Corporation Limited | Item identification method, system and electronic device |
| CN111415461B (en) * | 2019-01-08 | 2021-09-28 | 虹软科技股份有限公司 | Article identification method and system and electronic equipment |
| CN111415461A (en) * | 2019-01-08 | 2020-07-14 | 虹软科技股份有限公司 | Article identification method and system and electronic equipment |
| CN111507702A (en) * | 2019-03-07 | 2020-08-07 | 河源市联腾实业有限公司 | Self-service shopping method for unmanned supermarket, computer readable storage medium and system |
| CN110276305B (en) * | 2019-06-25 | 2021-06-15 | 广州众聚智能科技有限公司 | Dynamic commodity identification method |
| CN110276305A (en) * | 2019-06-25 | 2019-09-24 | 广州众聚智能科技有限公司 | A kind of dynamic commodity recognition methods |
| CN110427858A (en) * | 2019-07-26 | 2019-11-08 | 广州利科科技有限公司 | A kind of personage's Activity recognition track approach of combination image |
| CN115018492A (en) * | 2022-07-18 | 2022-09-06 | 北京师范大学 | Smart campus automatic checkout method and system based on artificial intelligence |
| CN116721411A (en) * | 2023-02-09 | 2023-09-08 | 浙江由由科技有限公司 | Bulk snack identification method based on machine learning |
| CN116721411B (en) * | 2023-02-09 | 2024-06-04 | 浙江由由科技有限公司 | Bulk snack identification method based on machine learning |
| CN117132845A (en) * | 2023-10-27 | 2023-11-28 | 浙江由由科技有限公司 | Snack classification method by scanning code coordinated image recognition and checking through partition bars |
| CN117132845B (en) * | 2023-10-27 | 2024-01-05 | 浙江由由科技有限公司 | Snack classification method by scanning code coordinated image recognition and checking through partition bars |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106781121A (en) | The supermarket self-checkout intelligence system of view-based access control model analysis | |
| CN105528604B (en) | A kind of bill automatic identification and processing system based on OCR | |
| CN107492091A (en) | Label look detection method and terminal device based on machine vision | |
| CN107230279A (en) | The automatic control method for reclaiming terminal, automatically recovery terminal and storage medium | |
| CN107103516A (en) | Purchase system and its shopping control method that a kind of on-line off-line shopping depth is combined | |
| CN107871232A (en) | A kind of generation method and its terminal of customer visit plan | |
| CN108235771A (en) | Self-help shopping method and system, electronic equipment, program product based on high in the clouds | |
| US20150278812A1 (en) | Biometric matching system using input biometric sample | |
| CN106663279A (en) | Association program, computer-readable medium, information processing method and information processing device | |
| CN107133854A (en) | Information recommendation method and device | |
| CN110189132A (en) | Face payment mechanism, method, system and machine readable storage medium | |
| CN112686220A (en) | Commodity identification method and device, computing equipment and computer storage medium | |
| KR20220087442A (en) | Automation of Creation of Listings Using Augmented Reality Computer Technology | |
| CN108806133A (en) | Self-service cash method and system | |
| CN205563868U (en) | Dedicated multi -functional removal POS of cell -phone machine | |
| Bartl et al. | PersonGONE: Image inpainting for automated checkout solution | |
| CN114186975A (en) | Configuration method, device, equipment and storage medium of approval process | |
| CN107644378A (en) | Capital flow direction analysis method and device | |
| CN107730242A (en) | Method, sales terminal and the sales terminal management server that self-service commodity are paid | |
| CN107392654A (en) | A kind of e-commerce product comments on quality discrimination system | |
| CN115393470A (en) | Cultural relic digital line graph drawing method, system and device | |
| CN109299947A (en) | Fingerprint payment authentication method, electronic device and computer readable storage medium | |
| CN115294325A (en) | Dynamic commodity identification system, method, medium, equipment and terminal for sales counter | |
| CN209281551U (en) | A kind of local real-time locker of the multiselect based on recognition of face and fingerprint recognition | |
| CN111046713B (en) | Automatic object identification device |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170531 |
|
| RJ01 | Rejection of invention patent application after publication |