CN108364005A - Automatic identifying method, system, equipment and the storage medium of price tag - Google Patents
Automatic identifying method, system, equipment and the storage medium of price tag Download PDFInfo
- Publication number
- CN108364005A CN108364005A CN201810187208.7A CN201810187208A CN108364005A CN 108364005 A CN108364005 A CN 108364005A CN 201810187208 A CN201810187208 A CN 201810187208A CN 108364005 A CN108364005 A CN 108364005A
- Authority
- CN
- China
- Prior art keywords
- price
- merchandise news
- label area
- image
- price tag
- 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
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
- G06V10/225—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/245—Aligning, centring, orientation detection or correction of the image by locating a pattern; Special marks for positioning
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of automatic identifying method of price tag, system, equipment and storage mediums, include the following steps：Several images are acquired, price tag detection is carried out to each image, identifies multiple price label areas on image；It identifies the bar code of price label area, reads corresponding first merchandise news of bar code；The text information for identifying each price label area generates corresponding second merchandise news in each price label area；When the name of product of name of product and the second merchandise news in the first merchandise news is consistent, it is stored in database after first merchandise news and the second merchandise news are sought union, when the name of product of the name of product of the first merchandise news and the second merchandise news is inconsistent, alarm signal is sent out.By acquiring the image of shelf and commodity in the present invention, identifies the price label area on image, consequently facilitating price label area and the commodity on image are corresponded, to form database, be convenient for the management of commodity.
Description
Technical field
The present invention relates to artificial intelligence, and in particular, to a kind of automatic identifying method of price tag, system, equipment and
Storage medium.
Background technology
With the fast development of commercial economy, the raising of living standards of the people, City Brands image is established, and is given birth in the people
Accumulation regions living can all have department stores.
Bar code is the multiple secret notes and blank for not waiting width, is arranged according to certain coding rule, to express one
The graphical identifier of group information.Common bar code is the parallel line chart that the secret note to be differed greatly by reflectivity is lined up with informal voucher
Case.Bar code can mark the producing country of article, manufacturing firm, trade name, date of manufacture, book classification number, mail start-stop
Many information such as place, classification, date, thus in many fields such as commodity circulation, taking care of books, postal management, banking system
It is widely used.
When therefore showing commodity in market, price tag is generally sticked on the downside of physical goods and is deposited by bar code
Store up the more information of the commodity.But in practical operation, bar code is printed upon by artificial mode in price tag, often
There is the inconsistent problem of the information recorded on the text information and bar code recorded in price tag, is brought to the management in market
It is greatly inconvenient.
Invention content
For the defects in the prior art, the object of the present invention is to provide a kind of automatic identifying method of price tag, be
System, equipment and storage medium.
According to the automatic identifying method of price tag provided by the invention, include the following steps：
Step S1：Several images are acquired, price tag detection is carried out to each described image, is identified in described image
Multiple price label areas；
Step S2：It identifies the bar code of each price label area, and passes through bar code described in data base querying
Corresponding first merchandise news；
Step S3：It identifies the text information of each price label area, generates each price label area
Corresponding second merchandise news；
Step S4：Judge the name of product in corresponding first merchandise news in each price label area and institute
Whether the name of product for stating the second merchandise news consistent, when in first merchandise news name of product and second commodity
When the name of product of information is consistent, then data are stored in after first merchandise news and second merchandise news being sought union
Library then sends out report when the name of product of the name of product of first merchandise news and second merchandise news is inconsistent
Alert signal.
Preferably, the step S1 includes the following steps：
Step S101：Generation is marked in price label area in multiple test images, and multiple are used for price tag area
The training image of domain identification trains price tag identification model by the training image；
Step S102：A target fiducials line is automatically extracted according to the body form profile in described image, rotates the figure
As so that the target fiducials line is parallel with the datum line of a setting；
Step S103：The price tag identification model progress is inputted after carrying out enhancing processing to the described image after becoming a full member
Identification.
Preferably, the step S2 includes the following steps：
Step S201：Price tag detection is carried out to each described image, identifies multiple price tags in described image
Region；
Step S202：When multiple price label areas are arranged in order along the direction of a setting, then by this along a setting
The price label area that direction is arranged in order is set as price label area collection；
Step S203：A price label area collection is at least formed on the image, and excludes the price label area
Price label area except collection.
Preferably, the step S2 includes the following steps：
Step S201：Bid case marker label Area generation is marked in multiple test images, and multiple are used for price tag identification
Training image；
Step S202：Price label area to be excluded is marked in multiple test images generates multiple for price tag
The training image of exclusion；
Step S203：By it is described multiple for price tag identification training image and it is described multiple be used for price tag
The training image of exclusion trains price tag identification model；
Step S204：A target fiducials line is automatically extracted according to the body form profile in described image, rotates the figure
As so that the target fiducials line is parallel with the datum line of a setting；
Step S205：The price tag identification model progress is inputted after described image after becoming a full member is carried out enhancing processing
Identification.
Preferably, further include following steps：
Step S5：Determine the corresponding commodity image of bar code in each price label area.
Preferably, the step S5 includes the following steps：
The step S5 includes the following steps：
Step S501：Multiple end article images that a bar code corresponds to end article are acquired in different places；
Step S502：Description for calculating the end article image, according to the description of multiple end article images
Son determines the feature recognition mark of the end article；
Step S503：It repeats step S501 to step S502 and generates description that multiple bar codes correspond to end article, into
And calculate the feature recognition model of end article；
Step S504：The corresponding multiple end article images of a bar code are acquired in different places forms one group for quotient
The associated training image of product bar code；
Step S505：It is corresponding multigroup for the associated training of commodity bar code that repetition step 504 generates multiple bar codes
Image；
Step S506：By multigroup described for the associated training image training commodity bar code association mould of commodity bar code
Type；
Step S507：Feature recognition model, the commodity bar code correlation model for passing sequentially through the end article are true
The corresponding commodity region of bar code of fixed each price label area.
Preferably, first merchandise news and second merchandise news include at least following any or a variety of letters
Breath：
Commodity price；
Trade name；
Commodity place of production information；
Goods logistic information；
Commodity stocks quantity；
Commodity production producer.
According to the automatic recognition system of price tag provided by the invention, for realizing the automatic knowledge of the price tag
Other method, including：
Price label area identification module carries out price tag inspection for acquiring several images to each described image
It surveys, identifies multiple price label areas in described image；
Bar code recognition module identifies the bar code of each price label area, and passes through data base querying institute
State corresponding first merchandise news of bar code；
Text information identification module identifies the text information of each price label area, reads each valence
Corresponding second merchandise news of lattice label area
Merchandise news comparing module judges the production in corresponding first merchandise news in each price label area
The name of an article claim it is whether consistent with the name of product of second merchandise news, when in first merchandise news name of product and institute
State the second merchandise news name of product it is consistent when, then first merchandise news and second merchandise news are sought into union
After be stored in database, when the name of product and the name of product of second merchandise news of first merchandise news are inconsistent
When, then send out alarm signal.
According to the automatic identification equipment of price tag provided by the invention, including：
Processor；
Memory, wherein being stored with the executable instruction of the processor；
Wherein, the processor is configured to execute the automatic knowledge of the price tag via the executable instruction is executed
The step of other method.
According to computer readable storage medium provided by the invention, for storing program, described program is performed realization
The step of automatic identifying method of the price tag.
Compared with prior art, the present invention has following advantageous effect：
1, the price tag in described image is identified by the image of the shelf and commodity that are acquired in market in the present invention
, to form database, it is convenient for quotient consequently facilitating corresponding price label area and the commodity in described image in region
The management of product；
2, the present invention can read corresponding first merchandise news of the bar code and identify the price label area
Text information generate the second merchandise news, when the first merchandise news described in second merchandise news is inconsistent, send out report
Alert signal, so as to correct the marked erroneous in price tag；
3, the present invention can form bar code and the commodity image one-to-one relationship, so that when obtaining a commodity
Bar code when can inquire the commodity image.
Description of the drawings
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon：
Fig. 1 is the step flow chart of the automatic identifying method of price tag in the present invention；
Fig. 2 is the step flow chart that price label area identifies in the present invention；
Fig. 3 is the step flow chart that price label area excludes on image in the present invention；
Fig. 4 is the step flow chart that price label area excludes on commodity in variation of the present invention；
Fig. 5 is that tender price label area of the present invention and the correspondence in commodity region determine flow chart；
Fig. 6 is the module diagram of the automatic recognition system of price tag in the present invention；
Fig. 7 is the structural schematic diagram of the automatic identification equipment of price tag in the present invention；And
Fig. 8 is the structural schematic diagram of Computer readable storage medium storing program for executing of the present invention.
Specific implementation mode
With reference to specific embodiment, the present invention is described in detail.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, various modifications and improvements can be made.These belong to the present invention
Protection domain.
In the present embodiment, Fig. 1 shows the step flow chart of the automatic identifying method of price tag in the present invention, such as schemes
Shown in 1, the automatic identifying method of price tag provided by the invention includes the following steps：
Step S1：Several images are acquired, price tag detection is carried out to each described image, is identified in described image
Multiple price label areas；
Step S2：It identifies the bar code of each price label area, and passes through bar code described in data base querying
Corresponding first merchandise news；
Step S3：It identifies the text information of each price label area, generates each price label area
Corresponding second merchandise news；
Step S4：Judge the name of product in corresponding first merchandise news in each price label area and institute
Whether the name of product for stating the second merchandise news consistent, when in first merchandise news name of product and second commodity
When the name of product of information is consistent, then data are stored in after first merchandise news and second merchandise news being sought union
Library then sends out report when the name of product of the name of product of first merchandise news and second merchandise news is inconsistent
Alert signal.
In the present embodiment, described image passes through the bats such as mobile phone, camera, the robot for loading camera or unmanned plane
It takes the photograph.Each described image is the image of shelf in the market shot, is arranged successively on shelf with multiple in each described image
It the commodity of row and is attached on the downside of the commodity and is attached to the bar coded sticker on shelf.At least have one on the bar coded sticker
The text informations such as bar code and price, name of product, product type.The price label area is the bar coded sticker in institute
The region on image is stated, the commodity region is the region of commodity on the image.
In addition, when in the first merchandise news that the name of product in the text information of price label area is read with bar code
Name of product it is inconsistent when, the text information recorded on bar code or price label area at this time has mistake or bar code
There are mistakes for printing, send out prompting at this time in order to modify to the mistake.
In the present embodiment, the text information that price label area is identified by ORC recognizers, to obtain described second
Merchandise news.
First merchandise news and second merchandise news include at least following any or much information：
Commodity price；
Trade name；
Commodity place of production information；
Goods logistic information；
Commodity stocks quantity；
Commodity production producer.
Refer to that the information of the same category is inconsistent when second merchandise news is inconsistent with first merchandise news,
As the trade name of text information recorded in trade name and bar coded sticker that bar code is read is inconsistent, bar code is read
Commodity price and bar coded sticker on the commodity price recorded it is inconsistent.
Fig. 2 shows the step flow charts that price label area in the present invention identifies, as shown in Fig. 2, the step S1 includes
Following steps：
Step S101：Generation is marked in price label area in multiple test images, and multiple are used for price tag area
The training image of domain identification trains price tag identification model by the training image；
Step S102：A target fiducials line is automatically extracted according to the body form profile in described image, rotates the figure
As so that the target fiducials line is parallel with the datum line of a setting；
Step S103：The price tag identification model progress is inputted after carrying out enhancing processing to the described image after becoming a full member
Identification.
The label is that the position of price label area is marked, specifically by the price label area upper left corner
Coordinate (x, y), location information of the width w and h calibration price label area in picture.The target fiducials line can choose institute
State a line horizontally extending on shelf in image.
Fig. 3 is the step flow chart that price label area excludes on image in the present invention, as shown in figure 3, the step S2
Include the following steps：
Step S201：Price tag detection is carried out to each described image, identifies multiple price tags in described image
Region；
Step S202：When multiple price label areas are arranged in order along the direction of a setting, then by this along a setting
The price label area that direction is arranged in order is set as price label area collection；
Step S203：A price label area collection is at least formed on the image, and excludes the price label area
Price label area except collection.
In the present embodiment, because described image is the image of shelf, price tag is generally all attached to a level of shelf
On plate, therefore price label area can be arranged in order in the horizontal direction, one price label area collection of formation, and the bar shaped on commodity
Code is generally in the upside of level board or downside, and the bar code of not all commodity can all be clapped towards outside when being photographed in addition
It arrives, and the height of commodity is not consistent, therefore causes the height of bar code on commodity also inconsistent, therefore the bar shaped on commodity
Code is discontinuous, and height is inconsistent, thus can will be discontinuous except the collection of shape code region, the inconsistent bar code of height
Removal.
Fig. 4 is the step flow chart that price label area excludes on commodity in variation in the present invention, as shown in figure 4, institute
Step S2 is stated to include the following steps：
Step S201：Bid case marker label Area generation is marked in multiple test images, and multiple are used for price tag identification
Training image；
Step S202：Price label area to be excluded is marked in multiple test images generates multiple for price tag
The training image of exclusion；
Step S203：By it is described multiple for price tag identification training image and it is described multiple be used for price tag
The training image of exclusion trains price tag identification model；
Step S204：A target fiducials line is automatically extracted according to the body form profile in described image, rotates the figure
As so that the target fiducials line is parallel with the datum line of a setting；
Step S205：The price tag identification model progress is inputted after described image after becoming a full member is carried out enhancing processing
Identification.
In the present embodiment, the price label area that marks is that the position of price label area is marked, institute
It is to treat exclusion price label area to be marked to state and mark price label area to be excluded.The target fiducials line can select
Take a line horizontally extending on shelf in described image.
In variation, the exclusion of bar code to be excluded can be carried out with following steps, the step S2 includes such as at this time
Lower step：
Step S201：Price label area in multiple test images is divided into price label area and price mark to be excluded
Sign Area generation multiple be used for bar code recognition training image；
Step S202：Bar code commodity identification model is established by multiple described training images for being used for bar code recognition；
Step S203：A target fiducials line is automatically extracted according to the body form profile in described image, rotates the figure
As so that the target fiducials line is parallel with the datum line of a setting；
Step S204：The price tag identification model progress is inputted after described image after becoming a full member is carried out enhancing processing
Identification.By the variation, can directly to the identification of target price label area and be treated by one group of training image realization
The training for excluding the exclusion of price label area, so as to save the training time of the bar code commodity identification model.
Fig. 5 determines flow chart for tender price label area of the present invention and the correspondence in commodity region, as shown in figure 5,
The step S5 includes the following steps：
Step S501：Multiple end article images that a bar code corresponds to end article are acquired in different places；
Step S502：Description for calculating the end article image, according to the description of multiple end article images
Son determines the feature recognition mark of the end article；
Step S503：It repeats step S501 to step S502 and generates description that multiple bar codes correspond to end article, into
And calculate the feature recognition model of end article；
Step S504：The corresponding multiple end article images of a bar code are acquired in different places forms one group for quotient
The associated training image of product bar code；
Step S505：It is corresponding multigroup for the associated training of commodity bar code that repetition step 504 generates multiple bar codes
Image；
Step S506：By multigroup described for the associated training image training commodity bar code association mould of commodity bar code
Type；
Step S507：Pass sequentially through the end article color identification model, the commodity bar code correlation model determines
The corresponding commodity region of bar code of each price label area.
In the present embodiment, description of the end article image is each color accounting of the end article image, when
When obtaining each color accounting of multiple end article images of an end article, due to each end article image when it is true
Fixed, but due to the shooting angle of end article image difference, each color accounting of multiple end article images is caused to have
Some gaps, but this gap causes gap much smaller than with what the end article in price tag put mistake certainly, therefore it can
With each color accounting to multiple end article images cluster the color identification marking of determining end article, the i.e. mesh
Mark each color accounting constant interval of commodity.Other sorting algorithms can certainly be taken to determine the color identification mark of end article
Know.The commodity bar code correlation model uses convolutional neural networks structure, is trained to obtain under deep learning frame.
Fig. 6 is the module diagram of the automatic recognition system of price tag in the present invention, as shown in fig. 6, the present invention provides
Price tag automatic recognition system, for realizing the automatic identifying method of the price tag, including：
Price label area identification module carries out price tag inspection for acquiring several images to each described image
It surveys, identifies multiple price label areas in described image；
Bar code recognition module identifies the bar code of each price label area, and passes through data base querying institute
State corresponding first merchandise news of bar code；
Text information identification module identifies the text information of each price label area, reads each valence
Corresponding second merchandise news of lattice label area
Merchandise news comparing module judges the production in corresponding first merchandise news in each price label area
The name of an article claim it is whether consistent with the name of product of second merchandise news, when in first merchandise news name of product and institute
State the second merchandise news name of product it is consistent when, then first merchandise news and second merchandise news are sought into union
After be stored in database, when the name of product and the name of product of second merchandise news of first merchandise news are inconsistent
When, then send out alarm signal.
A kind of automatic identification equipment of price tag, including processor are also provided in the embodiment of the present invention.Memory, wherein
It is stored with the executable instruction of processor.Wherein, processor is configured to be performed price tag via execution executable instruction
Automatic identifying method the step of.
As above, the image in the embodiment in the present invention by the shelf and commodity that are acquired in market, identifies the figure
As upper price label area, consequently facilitating price label area and the commodity in described image are corresponded, with shape
At database, it is convenient for the management of commodity.
Person of ordinary skill in the field it is understood that various aspects of the invention can be implemented as system, method or
Program product.Therefore, various aspects of the invention can be embodied in the following forms, i.e.,：It is complete hardware embodiment, complete
The embodiment combined in terms of full Software Implementation (including firmware, microcode etc.) or hardware and software, can unite here
Referred to as " circuit ", " module " or " platform ".
Fig. 7 is the structural schematic diagram of the automatic identification equipment of the price tag of the present invention.Basis is described referring to Fig. 7
The electronic equipment 600 of the embodiment of the invention.The electronic equipment 600 that Fig. 7 is shown is only an example, should not be to this
The function and use scope of inventive embodiments bring any restrictions.
As shown in fig. 7, electronic equipment 600 is showed in the form of universal computing device.The component of electronic equipment 600 can wrap
It includes but is not limited to：At least one processing unit 610, at least one storage unit 620, (including the storage of connection different platform component
Unit 620 and processing unit 610) bus 630, display unit 640 etc..
Wherein, storage unit has program stored therein code, and program code can be executed by processing unit 610 so that processing is single
Member 610 execute described in this specification above-mentioned electronic prescription circulation processing method part according to the various exemplary implementations of the present invention
The step of mode.For example, processing unit 610 can execute step as shown in fig. 1.
Storage unit 620 may include the readable medium of volatile memory cell form, such as Random Access Storage Unit
(RAM) 6201 and/or cache memory unit 6202, it can further include read-only memory unit (ROM) 6203.
Storage unit 620 can also include program/utility with one group of (at least one) program module 6205
6204, such program module 6205 includes but not limited to：Operating system, one or more application program, other program moulds
Block and program data may include the realization of network environment in each or certain combination in these examples.
Bus 630 can be to indicate one or more in a few class bus structures, including storage unit bus or storage
Cell controller, peripheral bus, graphics acceleration port, processing unit use the arbitrary bus structures in a variety of bus structures
Local bus.
Electronic equipment 600 can also be with one or more external equipments 700 (such as keyboard, sensing equipment, bluetooth equipment
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 600 communicate, and/or with make
Any equipment that the electronic equipment 600 can be communicated with one or more of the other computing device (such as router, modulation /demodulation
Device etc.) communication.This communication can be carried out by input/output (I/O) interface 650.Also, electronic equipment 600 can be with
By network adapter 660 and one or more network (such as LAN (LAN), wide area network (WAN) and/or public network,
Such as internet) communication.Network adapter 660 can be communicated by bus 630 with other modules of electronic equipment 600.It should
Understand, although being not shown in Fig. 7, other hardware and/or software module can be used in conjunction with electronic equipment 600, including unlimited
In：Microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and number
According to backup storage platform etc..
A kind of computer readable storage medium is also provided in the embodiment of the present invention, for storing program, program is performed
The step of automatic identifying method of the price tag of realization.In some possible embodiments, various aspects of the invention are also
It can be implemented as a kind of form of program product comprising program code, when program product is run on the terminal device, program
Code be used to make terminal device execute described in this specification above-mentioned electronic prescription circulation processing method part according to the present invention
The step of various illustrative embodiments.
As it appears from the above, the program of the computer readable storage medium of the embodiment is when being executed, by quotient in the present invention
The image of the shelf and commodity that are acquired in identifies the price label area in described image, consequently facilitating by price tag area
Domain is corresponded with the commodity in described image, to form database, is convenient for the management of commodity.
Fig. 8 is the structural schematic diagram of the computer readable storage medium of the present invention.Refering to what is shown in Fig. 8, describing according to this
The program product 800 for realizing the above method of the embodiment of invention, may be used the read-only storage of portable compact disc
Device (CD-ROM) and include program code, and can be run on terminal device, such as PC.However, the journey of the present invention
Sequence product is without being limited thereto, in this document, readable storage medium storing program for executing can be any include or storage program tangible medium, the journey
Sequence can be commanded the either device use or in connection of execution system, device.
The arbitrary combination of one or more readable mediums may be used in program product.Readable medium can be that readable signal is situated between
Matter or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can be but be not limited to electricity, magnetic, optical, electromagnetic, infrared ray or partly lead
System, device or the device of body, or the arbitrary above combination.More specific example (the non exhaustive row of readable storage medium storing program for executing
Table) include：Electrical connection, portable disc, hard disk, random access memory (RAM), read-only storage with one or more conducting wires
Device (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read only memory (CD-
ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
Computer readable storage medium may include in a base band or as the data-signal that a carrier wave part is propagated,
In carry readable program code.The data-signal of this propagation may be used diversified forms, including but not limited to electromagnetic signal,
Optical signal or above-mentioned any appropriate combination.Readable storage medium storing program for executing can also be any readable Jie other than readable storage medium storing program for executing
Matter, which can send, propagate either transmission for used by instruction execution system, device or device or and its
The program of combined use.The program code for including on readable storage medium storing program for executing can transmit with any suitable medium, including but not
It is limited to wireless, wired, optical cable, RF etc. or above-mentioned any appropriate combination.
It can be write with any combination of one or more programming languages for executing the program that operates of the present invention
Code, programming language include object oriented program language-Java, C++ etc., further include conventional process
Formula programming language-such as " C " language or similar programming language.Program code can be calculated fully in user
It executes in equipment, partly execute on a user device, being executed, partly in user calculating equipment as an independent software package
Upper part executes or is executed in remote computing device or server completely on a remote computing.It is being related to remotely counting
In the situation for calculating equipment, remote computing device can pass through the network of any kind, including LAN (LAN) or wide area network
(WAN), it is connected to user calculating equipment, or, it may be connected to external computing device (such as utilize ISP
To be connected by internet).
In the present embodiment, described image is identified by the image of the shelf and commodity that are acquired in market in the present invention
On price label area, consequently facilitating price label area and the commodity in described image are corresponded, to be formed
Database is convenient for the management of commodity；The present invention can read corresponding first merchandise news of the bar code and identify described
The text information of price label area generates the second merchandise news, and the first merchandise news described in second merchandise news differs
When cause, alarm signal is sent out, so as to correct the marked erroneous in price tag；The present invention can be formed bar code with it is described
Commodity image one-to-one relationship, so that the commodity image can be inquired when obtaining the bar code of a commodity.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited in above-mentioned
Particular implementation, those skilled in the art can make various deformations or amendments within the scope of the claims, this not shadow
Ring the substantive content of the present invention.
Claims (10)
1. a kind of automatic identifying method of price tag, which is characterized in that include the following steps：
Step S1：Several images are acquired, price tag detection is carried out to each described image, are identified multiple in described image
Price label area；
Step S2：It identifies the bar code of each price label area, and is corresponded to by bar code described in data base querying
The first merchandise news；
Step S3：It identifies the text information of each price label area, generates each price label area and correspond to
The second merchandise news；
Step S4：Judge name of product in corresponding first merchandise news in each price label area and described the
Whether the name of product of two merchandise newss consistent, when in first merchandise news name of product and second merchandise news
Name of product it is consistent when, then be stored in database after first merchandise news and second merchandise news being sought union,
When the name of product of the name of product of first merchandise news and second merchandise news is inconsistent, then alarm signal is sent out
Number.
2. the automatic identifying method of price tag according to claim 1, which is characterized in that the step S1 includes as follows
Step：
Step S101：Price label area in multiple test images is marked and generates multiple for price label area knowledge
Other training image trains price tag identification model by the training image；
Step S102：A target fiducials line is automatically extracted according to the body form profile in described image, rotation described image makes
It is parallel with the datum line of a setting to obtain the target fiducials line；
Step S103：Described image after becoming a full member is carried out inputting the price tag identification model after enhancing processing and is known
Not.
3. the automatic identifying method of price tag according to claim 1, which is characterized in that the step S2 includes as follows
Step：
Step S201：Price tag detection is carried out to each described image, identifies multiple price label areas in described image；
Step S202：When multiple price label areas are arranged in order along the direction of a setting, then by the direction set along one
The price label area being arranged in order is set as price label area collection；
Step S203：At least form a price label area collection on the image, and exclude the price label area collection it
Outer price label area.
4. the automatic identifying method of price tag according to claim 1, which is characterized in that the step S2 includes as follows
Step：
Step S201：Bid case marker label Area generation is marked in multiple test images, and multiple are used for the training that price tag identifies
Image；
Step S202：Price label area to be excluded is marked in multiple test images generates multiple for price tag exclusion
Training image；
Step S203：By it is described multiple for price tag identification training image and it is described multiple for price tag exclusion
Training image train price tag identification model；
Step S204：A target fiducials line is automatically extracted according to the body form profile in described image, rotation described image makes
It is parallel with the datum line of a setting to obtain the target fiducials line；
Step S205：It carries out the described image after becoming a full member to input the price tag identification model after enhancing processing and know
Not.
5. the automatic identifying method of price tag according to claim 1, which is characterized in that further include following steps：
Step S5：Determine the corresponding commodity image of bar code in each price label area.
6. the automatic identifying method of price tag according to claim 5, which is characterized in that the step S5 includes as follows
Step：
Step S501：Multiple end article images that a bar code corresponds to end article are acquired in different places；
Step S502：Description of the end article image is calculated, really according to the description of multiple end article images
Make the feature recognition mark of the end article；
Step S503：It repeats step S501 to step S502 and generates description that multiple bar codes correspond to end article, Jin Erji
Calculate the feature recognition model of end article；
Step S504：The corresponding multiple end article images of a bar code are acquired in different places forms one group for commodity item
The associated training image of shape code；
Step S505：It is corresponding multigroup for the associated training image of commodity bar code that repetition step 504 generates multiple bar codes；
Step S506：By multigroup described for the associated training image training commodity bar code correlation model of commodity bar code；
Step S507：Pass sequentially through the feature recognition model of the end article, the commodity bar code correlation model determines often
The corresponding commodity region of bar code of one price label area.
7. the automatic identifying method of price tag according to claim 1, which is characterized in that first merchandise news and
Second merchandise news includes at least following any or much information：
Commodity price；
Trade name；
Commodity place of production information；
Goods logistic information；
Commodity stocks quantity；
Commodity production producer.
8. a kind of automatic recognition system of price tag, for realizing the price tag described in any one of claim 1 to 7
Automatic identifying method, which is characterized in that including：
Price label area identification module carries out price tag detection to each described image, knows for acquiring several images
Multiple price label areas in other described image；
Bar code recognition module, identifies the bar code of each price label area, and passes through item described in data base querying
Corresponding first merchandise news of shape code；
Text information identification module identifies the text information of each price label area, reads each price mark
Sign corresponding second merchandise news in region
Merchandise news comparing module judges the ProductName in corresponding first merchandise news in each price label area
Claim it is whether consistent with the name of product of second merchandise news, when the name of product and described the in first merchandise news
When the name of product of two merchandise newss is consistent, then deposited after first merchandise news and second merchandise news being sought union
Enter database, when the name of product of the name of product of first merchandise news and second merchandise news is inconsistent, then
Send out alarm signal.
9. a kind of automatic identification equipment of price tag, which is characterized in that including：
Processor；
Memory, wherein being stored with the executable instruction of the processor；
Wherein, the processor is configured to come any one of perform claim requirement 1 to 7 institute via the execution executable instruction
The step of stating the automatic identifying method of price tag.
10. a kind of computer readable storage medium, for storing program, which is characterized in that described program is performed realization power
Profit requires the step of automatic identifying method of any one of 1 to 7 price tag.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810187208.7A CN108364005A (en) | 2018-03-07 | 2018-03-07 | Automatic identifying method, system, equipment and the storage medium of price tag |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810187208.7A CN108364005A (en) | 2018-03-07 | 2018-03-07 | Automatic identifying method, system, equipment and the storage medium of price tag |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108364005A true CN108364005A (en) | 2018-08-03 |
Family
ID=63003736
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810187208.7A Pending CN108364005A (en) | 2018-03-07 | 2018-03-07 | Automatic identifying method, system, equipment and the storage medium of price tag |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108364005A (en) |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110348439A (en) * | 2019-07-02 | 2019-10-18 | 创新奇智(南京)科技有限公司 | A kind of method, computer-readable medium and the system of automatic identification price tag |
| CN110472603A (en) * | 2019-08-20 | 2019-11-19 | 上海秒针网络科技有限公司 | Indicate the sending method and device, storage medium, electronic device of information |
| CN110782599A (en) * | 2019-10-15 | 2020-02-11 | 青岛海信智能商用系统股份有限公司 | Commodity identification method for self-service collection, self-service collection device and system |
| CN111159314A (en) * | 2019-12-31 | 2020-05-15 | 合肥美的智能科技有限公司 | Electronic tag association method and device, electronic equipment and storage medium |
| CN111178349A (en) * | 2019-12-17 | 2020-05-19 | 科大讯飞股份有限公司 | Image identification method, device, equipment and storage medium |
| CN111222389A (en) * | 2019-01-10 | 2020-06-02 | 图灵通诺（北京）科技有限公司 | Method and system for analyzing commodities on commercial and super goods shelf |
| CN111274845A (en) * | 2018-12-04 | 2020-06-12 | 杭州海康威视数字技术股份有限公司 | Method, device and system for identifying shelf display situation of store and electronic equipment |
| CN111507253A (en) * | 2020-04-16 | 2020-08-07 | 腾讯科技（深圳）有限公司 | Method and device for auditing displayed articles based on artificial intelligence |
| CN112074842A (en) * | 2019-03-21 | 2020-12-11 | 京东方科技集团股份有限公司 | Price tag information display method and device and shelf system |
| CN112149450A (en) * | 2019-06-26 | 2020-12-29 | 浙江汉朔电子科技有限公司 | Noodle arrangement inspection system and method |
| CN112395918A (en) * | 2019-08-16 | 2021-02-23 | 浙江汉朔电子科技有限公司 | Goods shelf identification method, device and system |
| WO2021081688A1 (en) * | 2019-10-28 | 2021-05-06 | 汉朔科技股份有限公司 | Price tag-based out-of-stock detection method and device |
| CN112800804A (en) * | 2019-10-28 | 2021-05-14 | 汉朔科技股份有限公司 | Price tag-based out-of-stock detection method and device |
| CN113191172A (en) * | 2020-01-14 | 2021-07-30 | 阿里巴巴集团控股有限公司 | Method, apparatus, computing device and storage medium for acquiring article display information |
| CN113419659A (en) * | 2021-08-23 | 2021-09-21 | 深圳市信润富联数字科技有限公司 | Method, system, program product and storage medium for constructing label template |
| CN113569858A (en) * | 2021-07-21 | 2021-10-29 | 上海明略人工智能(集团)有限公司 | Commodity price tag content identification method and system, electronic equipment and storage medium |
| CN113854643A (en) * | 2021-10-11 | 2021-12-31 | 奥斯特原点(广东)科技有限公司 | Multifunctional anti-counterfeiting device and anti-counterfeiting structure of electronic cigarette |
| CN114140169A (en) * | 2021-12-07 | 2022-03-04 | 钻技(上海)信息科技有限公司 | Coupon automatic matching method and system |
| TWI799712B (en) * | 2019-06-05 | 2023-04-21 | 聯詠科技股份有限公司 | Operating method with goods information and non-transitory computer readable medium and computer program product thereof |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102646363A (en) * | 2012-04-20 | 2012-08-22 | 李峰 | Character anti-counterfeiting and bar code combined identification structure and method therefor |
| CN107403216A (en) * | 2017-05-25 | 2017-11-28 | 阿里巴巴集团控股有限公司 | A kind of identification code generation and verification method and device |
-
2018
- 2018-03-07 CN CN201810187208.7A patent/CN108364005A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102646363A (en) * | 2012-04-20 | 2012-08-22 | 李峰 | Character anti-counterfeiting and bar code combined identification structure and method therefor |
| CN107403216A (en) * | 2017-05-25 | 2017-11-28 | 阿里巴巴集团控股有限公司 | A kind of identification code generation and verification method and device |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111274845A (en) * | 2018-12-04 | 2020-06-12 | 杭州海康威视数字技术股份有限公司 | Method, device and system for identifying shelf display situation of store and electronic equipment |
| CN111274845B (en) * | 2018-12-04 | 2023-09-05 | 杭州海康威视数字技术股份有限公司 | Method, device and system for identifying display condition of store shelf and electronic equipment |
| CN111222389B (en) * | 2019-01-10 | 2023-08-29 | 图灵通诺（北京）科技有限公司 | Analysis method and system for commodity on super commodity shelf |
| CN111222389A (en) * | 2019-01-10 | 2020-06-02 | 图灵通诺（北京）科技有限公司 | Method and system for analyzing commodities on commercial and super goods shelf |
| CN112074842A (en) * | 2019-03-21 | 2020-12-11 | 京东方科技集团股份有限公司 | Price tag information display method and device and shelf system |
| TWI799712B (en) * | 2019-06-05 | 2023-04-21 | 聯詠科技股份有限公司 | Operating method with goods information and non-transitory computer readable medium and computer program product thereof |
| CN112149450A (en) * | 2019-06-26 | 2020-12-29 | 浙江汉朔电子科技有限公司 | Noodle arrangement inspection system and method |
| CN110348439B (en) * | 2019-07-02 | 2021-10-12 | 创新奇智(南京)科技有限公司 | Method, computer readable medium and system for automatically identifying price tags |
| CN110348439A (en) * | 2019-07-02 | 2019-10-18 | 创新奇智(南京)科技有限公司 | A kind of method, computer-readable medium and the system of automatic identification price tag |
| CN112395918B (en) * | 2019-08-16 | 2024-03-01 | 汉朔科技股份有限公司 | Goods shelf identification method, device and system |
| CN112395918A (en) * | 2019-08-16 | 2021-02-23 | 浙江汉朔电子科技有限公司 | Goods shelf identification method, device and system |
| CN110472603A (en) * | 2019-08-20 | 2019-11-19 | 上海秒针网络科技有限公司 | Indicate the sending method and device, storage medium, electronic device of information |
| CN110782599A (en) * | 2019-10-15 | 2020-02-11 | 青岛海信智能商用系统股份有限公司 | Commodity identification method for self-service collection, self-service collection device and system |
| CN112800804A (en) * | 2019-10-28 | 2021-05-14 | 汉朔科技股份有限公司 | Price tag-based out-of-stock detection method and device |
| WO2021081688A1 (en) * | 2019-10-28 | 2021-05-06 | 汉朔科技股份有限公司 | Price tag-based out-of-stock detection method and device |
| CN111178349A (en) * | 2019-12-17 | 2020-05-19 | 科大讯飞股份有限公司 | Image identification method, device, equipment and storage medium |
| CN111159314A (en) * | 2019-12-31 | 2020-05-15 | 合肥美的智能科技有限公司 | Electronic tag association method and device, electronic equipment and storage medium |
| CN113191172A (en) * | 2020-01-14 | 2021-07-30 | 阿里巴巴集团控股有限公司 | Method, apparatus, computing device and storage medium for acquiring article display information |
| CN111507253B (en) * | 2020-04-16 | 2023-06-30 | 腾讯科技（深圳）有限公司 | Display article auditing method and device based on artificial intelligence |
| CN111507253A (en) * | 2020-04-16 | 2020-08-07 | 腾讯科技（深圳）有限公司 | Method and device for auditing displayed articles based on artificial intelligence |
| CN113569858A (en) * | 2021-07-21 | 2021-10-29 | 上海明略人工智能(集团)有限公司 | Commodity price tag content identification method and system, electronic equipment and storage medium |
| CN113419659A (en) * | 2021-08-23 | 2021-09-21 | 深圳市信润富联数字科技有限公司 | Method, system, program product and storage medium for constructing label template |
| CN113854643A (en) * | 2021-10-11 | 2021-12-31 | 奥斯特原点(广东)科技有限公司 | Multifunctional anti-counterfeiting device and anti-counterfeiting structure of electronic cigarette |
| CN114140169A (en) * | 2021-12-07 | 2022-03-04 | 钻技(上海)信息科技有限公司 | Coupon automatic matching method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108364005A (en) | Automatic identifying method, system, equipment and the storage medium of price tag | |
| CN108416403A (en) | The automatic correlation method of commodity and label, system, equipment and storage medium | |
| CN108647553A (en) | Rapid expansion method, system, equipment and the storage medium of model training image | |
| CN101160576B (en) | Method and system for measuring retail store display conditions | |
| CN109271935A (en) | The matching method of article and electronic tag, apparatus and system | |
| CN111932564B (en) | Picture identification method and device, electronic equipment and computer readable storage medium | |
| CN109154993A (en) | System and method for positioning, identifying and counting to article | |
| US11669843B2 (en) | Automated planogram anomaly detection | |
| CN106062783A (en) | Pointer tracking for eye-level scanners and displays | |
| CN109242060A (en) | New restocking product fast searching method, system, equipment and storage medium | |
| US20090251294A1 (en) | Article management system and article management method | |
| CN109784323A (en) | Method, apparatus, electronic equipment and the computer storage medium of image recognition | |
| CN109472524A (en) | Information processing method and device | |
| JP2013539102A5 (en) | ||
| US20180068158A1 (en) | Information processing device, information processing system, position reporting method, and program recording medium | |
| CN110942035A (en) | Method, system, device and storage medium for acquiring commodity information | |
| WO2021179138A1 (en) | Method and system for analyzing commodities on supermarket shelf | |
| CN109781114A (en) | Market indoor navigation map method for building up, system, equipment and storage medium | |
| CN110443317A (en) | A kind of method, apparatus and electronic equipment of paper shelves electronic data processing | |
| CN107688835A (en) | Medical textile system for tracing and managing based on RFID | |
| US20210117987A1 (en) | Fraud estimation system, fraud estimation method and program | |
| Shahin et al. | Machine-based identification system via optical character recognition | |
| WO2017179543A1 (en) | Information processing device, information processing method, and program recording medium | |
| CN116863116A (en) | Image recognition method, device, equipment and medium based on artificial intelligence | |
| JP2023156991A (en) | information processing system |
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: 20180803 |
|
| RJ01 | Rejection of invention patent application after publication |