CN117360892A - Method, system, device and readable storage medium for detecting banknote packing quality - Google Patents

Method, system, device and readable storage medium for detecting banknote packing quality Download PDF

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Publication number
CN117360892A
CN117360892A CN202311311307.9A CN202311311307A CN117360892A CN 117360892 A CN117360892 A CN 117360892A CN 202311311307 A CN202311311307 A CN 202311311307A CN 117360892 A CN117360892 A CN 117360892A
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CN
China
Prior art keywords
box
banknote
label
paper money
detecting
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311311307.9A
Other languages
Chinese (zh)
Inventor
魏君
高建群
程哲
李军
张静
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SHIJIAZHUANG BANKNOTE PRINTING CO Ltd
China Banknote Printing and Minting Group Co Ltd
Original Assignee
SHIJIAZHUANG BANKNOTE PRINTING CO Ltd
China Banknote Printing and Minting Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SHIJIAZHUANG BANKNOTE PRINTING CO Ltd, China Banknote Printing and Minting Group Co Ltd filed Critical SHIJIAZHUANG BANKNOTE PRINTING CO Ltd
Priority to CN202311311307.9A priority Critical patent/CN117360892A/en
Publication of CN117360892A publication Critical patent/CN117360892A/en
Pending legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
    • B65B57/00—Automatic control, checking, warning, or safety devices
    • B65B57/10—Automatic control, checking, warning, or safety devices responsive to absence, presence, abnormal feed, or misplacement of articles or materials to be packaged
    • B65B57/14—Automatic control, checking, warning, or safety devices responsive to absence, presence, abnormal feed, or misplacement of articles or materials to be packaged and operating to control, or stop, the feed of articles or material to be packaged
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34—Sorting according to other particular properties
    • B07C5/3412—Sorting according to other particular properties according to a code applied to the object which indicates a property of the object, e.g. quality class, contents or incorrect indication
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/36—Sorting apparatus characterised by the means used for distribution
    • B07C5/361—Processing or control devices therefor, e.g. escort memory
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/956—Inspecting patterns on the surface of objects

Abstract

The invention provides a banknote packing quality detection method, a banknote packing quality detection system, a banknote packing quality detection device and a readable storage medium. The detection method comprises the following steps: identifying and checking the first serial number of each packet of paper money before packing the paper money so as to determine whether the paper money of the current serial number packet accords with a preset serial number packet; when the currency note of the current numbering packet accords with the preset numbering packet, boxing the currency note; and detecting the number of the paper money bags in the paper money box, the number of the labels in the box and the labels outside the box after the paper money is packaged. According to the banknote boxing quality detection method provided by the invention, the in-box product counting, the in-box label presence and multiple judgment are carried out through the deep learning technology, the character recognition is carried out on the box label information, the two-dimensional code information is compared, the image-text quality detection is carried out, and the like, and the push is carried out through signal interaction. The two-dimension code information of the out-of-box label, the image-text quality, the in-box label and the in-box product quantity are detected and monitored in real time, the digital security risk of the product is effectively reduced, and the boxing quality of the banknote products is ensured.

Description

Method, system, device and readable storage medium for detecting banknote packing quality
Technical Field
The invention relates to the technical field of banknote packing, in particular to a banknote packing quality detection method, a banknote packing quality detection system, a banknote packing quality detection device and a banknote packing quality detection program.
Background
At present, the front end of a boxing line adopts an image acquisition system to carry out image acquisition, identification and recording on the crown word number of each first product to be boxed into the whole package of products. Then pushing the products into a buffer area to be packaged, grabbing the products into a product box by a mechanical claw after a certain number of packages are completed, then conveying the product box to a box label labeling position on a packaging line for labeling on two sides of the box body, and automatically placing a label in the box. And after the product box is finished, automatically covering the product box, conveying the product box to a box cover compacting mechanism for box cover compacting, and finally stacking the product box. The boxing mode does not detect two-dimensional code information and image-text quality of the label outside the box, does not judge and confirm whether the label in the box exists or not and a plurality of labels, and does not count and confirm products in the box, so that a certain number quality risk exists.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art or related art.
It is, therefore, an object of the present invention to provide a coupon packing quality detection method.
It is another object of the present invention to provide a banknote packing quality detection system.
A third object of the present invention is to provide a banknote packing quality detecting apparatus.
A fourth object of the present invention is to provide a readable storage medium.
In order to achieve the above object, according to a first aspect of the present invention, there is provided a method for detecting quality of banknote packing, including: identifying and checking the first serial number of each packet of paper money before packing the paper money so as to determine whether the paper money of the current serial number packet accords with a preset serial number packet; when the currency note of the current numbering packet accords with the preset numbering packet, boxing the currency note; and detecting the number of the paper money bags in the paper money box, the number of the labels in the box and the labels outside the box after the paper money is packaged.
In addition, the banknote packing quality detection method provided by the application can also have the following additional technical characteristics:
in some technical solutions, optionally, the steps of detecting the number of packages of the banknote in the banknote box, the number of labels in the box and the labels outside the box after the banknote is packaged specifically include: detecting whether the banknote box on the box loading line has an in-box label or not and whether the in-box label is too many or not; detecting whether an out-of-box label of the banknote box meets a first preset condition.
In some technical solutions, optionally, the out-box label includes a two-dimensional code label, and the step of detecting whether the out-box label of the banknote box meets a first preset condition specifically includes: scanning the two-dimensional code label to determine the information of the current banknote box; and comparing the information of the current banknote box with the information of the current banknote box in the database.
In some embodiments, the step of comparing the information of the current banknote box with the information of the current banknote box in the database specifically includes: determining whether the position of the two-dimensional code label on the banknote box meets a preset position; when the position of the two-dimensional code label on the banknote box meets the preset position, acquiring the circumscribed rectangle of the two-dimensional code label, and judging whether the circumscribed rectangle of the two-dimensional code label is skewed or not; performing OCR (Optical Character Recognition ) recognition on the two-dimensional code label to extract the box number of the bill box, and comparing the Chinese characters and the numbers in the extracted box number with the Chinese characters and the numbers in a preset template; acquiring a current two-dimensional code label image and a two-dimensional code label image in a database, comparing the current two-dimensional code label image with the two-dimensional code label image in the database, and performing blob analysis after residual points are obtained.
In some embodiments, optionally, before the step of detecting the number of packages, the number of in-box labels, and the out-of-box labels of the banknote after the banknote is packaged, the method comprises: generating an in-box label and an out-box label.
In some embodiments, optionally, before the step of detecting the number of packages, the number of in-box labels, and the out-of-box labels of the banknote after the banknote is packaged, the method comprises: generating an in-box label and an out-box label.
In some aspects, optionally, the out-of-box tag comprises a plurality.
In some embodiments, a plurality of out-of-box labels may optionally be provided on opposite sides of the banknote cassette.
In some embodiments, optionally, the step of detecting the number of banknotes in the banknote box after the banknote box is filled, specifically includes: before the signing station of the boxing line conveyor belt, the images of the notes in the notes box are shot to determine the number of the notes in the notes box.
In some embodiments, optionally, the step of detecting the number of banknotes in the banknote box after the banknote box is filled, specifically includes: and determining the number of the paper money in the paper money box according to the thickness of each paper money in the paper money box and the total thickness of the paper money.
In some embodiments, optionally, the banknote packing quality detection method further includes: and when the currency note of the current numbering packet does not accord with the preset numbering packet, sending out a prompt.
The technical scheme of the second aspect of the invention provides a banknote packing quality detection system, which comprises: the boxing detection module is used for identifying and checking the first serial number of each packet of paper money before the paper money is boxed so as to determine whether the paper money of the current serial number packet accords with the preset serial number packet; the boxing module is used for boxing the currency notes when the currency notes of the current numbered packet accord with the preset numbered packet; the box label quality detection module is used for detecting the number of paper money bags in the paper money box, the number of labels in the box and the labels outside the box after the paper money is boxed.
In some aspects, optionally, the banknote packing quality detection system further comprises: and the label generating module is used for generating an in-box label and an out-box label.
In some aspects, optionally, the banknote packing quality detection system further comprises: the reminding module is used for sending out reminding when the currency note of the current numbered packet does not accord with the preset numbered packet.
A third aspect of the present invention provides a banknote packing quality detection apparatus comprising a memory and a processor, the memory storing a program or instructions which when executed by the processor implement the steps of the banknote packing quality detection method as in any one of the first aspects.
A fourth aspect of the present invention provides a readable storage medium having stored thereon a program or instructions which, when executed, implement the steps of the banknote casing quality detection method of any one of the first aspects.
According to the banknote packing quality detection method provided by the invention, the in-box product counting, the in-box label presence and multiple judgment are carried out through the deep learning technology, the character recognition is carried out on the box label information, the two-dimensional code information is compared, the image-text quality detection is carried out, and the like, and the pushing is carried out through signal interaction. The two-dimension code information of the out-of-box label, the image-text quality, the in-box label and the in-box product quantity are detected and monitored in real time, the digital security risk of the product is effectively reduced, and the boxing quality of the banknote products is ensured.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a flow chart of a method of detecting the quality of a banknote packing according to one embodiment of the present invention;
FIG. 2 is a flow chart of a coupon packing quality detection method according to a second embodiment of the present invention;
FIG. 3 is a flow chart of a coupon packing quality detection method according to a third embodiment of the present invention;
FIG. 4 is a flow chart of a coupon packing quality detection method according to a fourth embodiment of the present invention;
FIG. 5 is a block diagram of a coupon boxing quality detection system in accordance with one embodiment of the present invention;
fig. 6 is a block diagram of a coupon packing quality inspection apparatus according to an embodiment of the present invention.
Wherein, the correspondence between the reference numerals and the component names in fig. 5 and 6 is:
the system comprises a 10-note boxing quality detection device, a 12-memory, a 14-processor, a 20-note boxing quality detection system, a 22-boxing detection module, a 24-box label quality detection module and a 26-boxing module.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized below, may be had by reference to the appended drawings. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
In one embodiment of the present application, as shown in fig. 1, there is provided a banknote packing quality detection method, including:
s102, identifying and checking the first serial number of each packet of paper money before the paper money is packaged to determine whether the paper money of the current serial number packet accords with the preset serial number packet.
S104, boxing the banknote when the banknote of the current numbered packet accords with the preset numbered packet.
S106, detecting the number of the paper money in the paper money box, the number of the labels in the box and the labels outside the box after the paper money is packaged.
According to the banknote packing quality detection method provided by the invention, the in-box product counting, the in-box label presence and multiple judgment are carried out through the deep learning technology, the character recognition is carried out on the box label information, the two-dimensional code information is compared, the image-text quality detection is carried out, and the like, and the pushing is carried out through signal interaction. The two-dimension code information of the out-of-box label, the image-text quality, the in-box label and the in-box product quantity are detected and monitored in real time, the digital security risk of the product is effectively reduced, and the boxing quality of the banknote products is ensured.
In one embodiment of the present application, as shown in fig. 2, there is provided a banknote packing quality detection method, including:
s202, identifying and checking the first serial number of each packet of paper money before packing the paper money so as to determine whether the paper money of the current serial number packet accords with the preset serial number packet.
S204, boxing the banknote when the banknote of the current numbered packet accords with the preset numbered packet.
S206, detecting whether the banknote box on the box loading line has an in-box label or not and whether the in-box label is too many or not.
S208, detecting whether the out-of-box label of the banknote box meets a first preset condition.
According to the banknote packing quality detection method provided by the invention, the in-box product counting, the in-box label presence and multiple judgment are carried out through the deep learning technology, the character recognition is carried out on the box label information, the two-dimensional code information is compared, the image-text quality detection is carried out, and the like, and the pushing is carried out through signal interaction. The two-dimension code information of the out-of-box label, the image-text quality, the in-box label and the in-box product quantity are detected and monitored in real time, the digital security risk of the product is effectively reduced, and the boxing quality of the banknote products is ensured.
In one embodiment of the present application, as shown in fig. 3, there is provided a banknote packing quality detection method, including:
s302, identifying and checking the first serial number of each packet of paper money before the paper money is packaged to determine whether the paper money of the current serial number packet accords with the preset serial number packet.
S304, boxing the banknote when the banknote of the current numbered packet accords with the preset numbered packet.
S306, detecting whether the banknote box on the box loading line has an in-box label or not and whether the in-box label is too many or not.
S308, the out-of-box label comprises a two-dimension code label, and the two-dimension code label is scanned to determine the information of the current banknote box.
S310, comparing the information of the current banknote box with the information of the current banknote box in the database.
According to the banknote packing quality detection method provided by the invention, the in-box product counting, the in-box label presence and multiple judgment are carried out through the deep learning technology, the character recognition is carried out on the box label information, the two-dimensional code information is compared, the image-text quality detection is carried out, and the like, and the pushing is carried out through signal interaction. The two-dimension code information of the out-of-box label, the image-text quality, the in-box label and the in-box product quantity are detected and monitored in real time, the digital security risk of the product is effectively reduced, and the boxing quality of the banknote products is ensured.
In one embodiment of the present application, as shown in fig. 4, there is provided a banknote packing quality detection method, including:
s402, identifying and checking the first serial number of each packet of banknote before the banknote is packaged, so as to determine whether the banknote of the current serial number packet accords with the preset serial number packet.
S404, boxing the banknote when the banknote of the current numbered packet accords with the preset numbered packet.
S406, detecting whether the banknote box on the box loading line has an in-box label or not and whether the in-box label is too many or not.
S408, the out-of-box label comprises a two-dimensional code label, and the two-dimensional code label is scanned to determine the information of the current banknote box.
S410, determining whether the position of the two-dimensional code label on the banknote box meets a preset position; when the position of the two-dimensional code label on the banknote box meets the preset position, acquiring the circumscribed rectangle of the two-dimensional code label, and judging whether the circumscribed rectangle of the two-dimensional code label is skewed or not; performing OCR (optical character recognition) on the two-dimensional code label to extract the box number of the banknote box, and comparing the Chinese characters and the numbers in the extracted box number with the Chinese characters and the numbers in a preset template; acquiring a current two-dimensional code label image and a two-dimensional code label image in a database, comparing the current two-dimensional code label image with the two-dimensional code label image in the database, and performing blob analysis after residual points are obtained.
According to the banknote packing quality detection method provided by the invention, the in-box product counting, the in-box label presence and multiple judgment are carried out through the deep learning technology, the character recognition is carried out on the box label information, the two-dimensional code information is compared, the image-text quality detection is carried out, and the like, and the pushing is carried out through signal interaction. The two-dimension code information of the out-of-box label, the image-text quality, the in-box label and the in-box product quantity are detected and monitored in real time, the digital security risk of the product is effectively reduced, and the boxing quality of the banknote products is ensured.
In some embodiments, optionally, the step of detecting the number of packages, the number of in-box labels, and the out-of-box labels of the banknote after the banknote is packaged comprises: generating an in-box label and an out-box label.
In some embodiments, optionally, the step of detecting the number of packages, the number of in-box labels, and the out-of-box labels of the banknote after the banknote is packaged comprises: generating an in-box label and an out-box label.
In some embodiments, optionally, the out-of-box tag comprises a plurality.
In some embodiments, optionally, a plurality of out-of-box labels are provided on opposite sides of the banknote cassette.
In some embodiments, optionally, the step of detecting the number of the banknotes in the banknote cassette after the banknote cassette is loaded, specifically includes: before the signing station of the boxing line conveyor belt, the images of the notes in the notes box are shot to determine the number of the notes in the notes box.
In some embodiments, optionally, the step of detecting the number of the banknotes in the banknote cassette after the banknote cassette is loaded, specifically includes: and determining the number of the paper money in the paper money box according to the thickness of each paper money in the paper money box and the total thickness of the paper money.
In some embodiments, optionally, the banknote packing quality detection method further comprises: and when the currency note of the current numbering packet does not accord with the preset numbering packet, sending out a prompt.
As shown in fig. 5, an embodiment of the second aspect of the present invention provides a banknote packing quality detection system 20 comprising: the boxing detection module 22 is used for identifying and checking the first serial number of each pack of paper money before the paper money is boxed, so as to determine whether the paper money of the current serial number pack accords with the preset serial number pack or not; the boxing module 26 is used for boxing the currency notes when the currency notes of the current numbered packet accord with the preset numbered packet; the box label quality detection module 24 is used for detecting the number of the paper money bags in the paper money box, the number of the labels in the box and the labels outside the box after the paper money is boxed.
The banknote packing quality detection system 20 provided by the invention comprises a packing detection module 22, a label quality detection module 24 and a packing module 26. The detection system performs in-box product counting, in-box label presence/absence and multiple judgment through a deep learning technology, performs character recognition on in-box label information, compares two-dimensional code information, performs image-text quality detection and the like, and performs pushing through signal interaction. The two-dimension code information of the out-of-box label, the image-text quality, the in-box label and the in-box product quantity are detected and monitored in real time, the digital security risk of the product is effectively reduced, and the boxing quality of the banknote products is ensured.
In some embodiments, optionally, the banknote packing quality detection system further comprises: and the label generating module is used for generating an in-box label and an out-box label.
In some embodiments, optionally, the banknote packing quality detection system further comprises: the reminding module is used for sending out reminding when the currency note of the current numbered packet does not accord with the preset numbered packet.
The banknote packing quality detection system of the present application will be described in detail below.
The boxing module is positioned at the front end of the boxing line and consists of a picture taking system, a background industrial personal computer and a man-machine interaction touch screen. The box label quality detection module is positioned at the position where the manipulator grabs the box body and the position where the box packing line is to be piled up, and consists of a picture taking system, a background industrial personal computer and a man-machine interaction touch screen.
Module function of the boxing detection module: the module is used for identifying, checking, boxing data recording and the like of the first number before boxing. Through PLC (Programmable Logic Controller ) control, with vanning line, robotic arm interaction, carry out corresponding action, relate to crown number collection trigger signal, label print, print and paste the mark and accomplish, labeller picture does not receive the retransmission, paste mark picture and issue and accomplish etc..
Input signal: full scale product in place signal.
And (3) outputting a signal: checking the first number to be normal, checking the first number to be abnormal, and the like.
Automatic start detection: when the detection is not started, the corresponding millions of information is automatically acquired according to the tens of thousands of information produced by the preamble station, the detection is started and matched with the preamble station, the automatic starting detection of the whole integrated production line can be realized, an operator only needs to input the tens of thousands of information (which is automatically acquired from the MES (Manufacturing Execution System) after the automatic acquisition of the data from the AB knife detection station) at the first detection station (generally a hundreds of detection stations) and the subsequent stations can automatically start the detection according to the train number information of the preamble station, and the data is not needed to be sequentially input by each station when the machine is started in the morning.
Number identification and checking: after the printing number is identified, the printing number is subjected to data correction with a preamble station (a banding station of two small sheet sorter), so that normal production of the ruler product is ensured to be finished at the banding station, and if the ruler product is an abnormal product, whether manual intervention is finished is determined. In addition, whether the printing number is repeated or not is judged. Only the printed code numbers meeting the above conditions can be boxed, otherwise, the products can be pushed out.
Re-boxing technology: repacking is divided into two categories: the first is that the production line fails in the production process, 20 feet are not filled yet, and the right key in the right box number list is used for realizing the repacking when the repacking is needed; in the other way, in the tracing process after the whole box is finished, a repacking button is clicked in a train number list, and an input box number control is popped up to realize repacking. In the process of repacking, record table data of box numbers in the database are transferred to a new table, so that data are cleared, and the latest repacking is performed.
Module function of box label quality detection module: the module checks the sequence of products on the boxing line, counts the products in the box, judges whether the labels in the box exist or not and a plurality of sheets, identifies and checks the two-dimension code of the label outside the box, detects the quality of the label outside the box, and pushes the label outside the box through signal interaction.
Input signal: and a full-scale product in-place signal triggers the left camera and the right camera to pick up pictures.
And (3) outputting a signal: checking normal, checking abnormal, etc.
And detecting by adopting a deep learning algorithm: deep learning networks use large data sample sets for network training. And counting products in the box, judging whether the labels in the box exist or not and judging a plurality of labels, identifying box label information, comparing two-dimensional code information, detecting quality and the like.
The main implementation technology is as follows:
(1) Counting products in the box;
before a label feeding station of a conveyor belt of a boxing line, shooting an image of a product in a box, realizing image detection of the number of product scales in the product box, judging whether the product meets the requirement of 5 multiplied by 4 scales, and judging whether the number of product packages is abnormal or not by detecting the total thickness of each product scale.
(2) Checking the two-dimensional code with the boxing;
and in the first packet counting process, the current box number is obtained by reading the information of the boxing database in the previous process, the current box number is added into the box number detection queue, and the first strip of the box number detection queue is taken out at the two-dimension code detection point for comparison.
(3) A box label quality detection principle;
firstly, locating and searching the position of the two-dimensional code on the box label image, then judging the circumscribed rectangle of the two-dimensional code, calculating the rotation angle and judging whether the box label image is skewed; performing OCR (optical character recognition) and extracting a box number; comparing and detecting the Chinese characters and the numbers extracted from the two-dimensional code information with the Chinese characters and the numbers in a preset template; and comparing the current two-dimensional code images by reading the two-dimensional code images in the boxing database to obtain residual points, and then carrying out blob analysis.
As shown in fig. 6, an embodiment of the third aspect of the present invention provides a banknote casing quality detection apparatus 10, including a memory 12 and a processor 14, the memory 12 storing a program or instructions which when executed by the processor 14 implement the steps of the banknote casing quality detection method as in any of the embodiments of the first aspect.
The banknote packing quality detection apparatus 10 provided according to the present invention includes a memory 12 and a processor 14, where the memory 12 stores a program or instructions that when executed by the processor 14 implement the steps of the banknote packing quality detection method according to any one of the embodiments of the first aspect. The steps of the method of detecting the quality of a banknote deposit container as in any of the embodiments of the first aspect are implemented as a program or instructions when executed by the processor 14. Therefore, the banknote packing quality detection device has all the advantages of the banknote packing quality detection method provided in any embodiment of the first aspect, and will not be described herein.
An embodiment of the fourth aspect of the present invention provides a readable storage medium having stored thereon a program or instructions which, when executed, implement the steps of the banknote casing quality detection method of any one of the embodiments of the first aspect.
According to the readable storage medium provided by the invention, a program or instructions are stored thereon, and when the program or instructions are executed, the steps of the banknote packing quality detection method in any one of the embodiments of the first aspect are realized. As the readable storage medium enables the steps of the banknote packing quality detection method in any one of the embodiments of the first aspect. Therefore, the readable storage medium has all the advantages of the banknote packing quality detection method provided in any embodiment of the first aspect, and will not be described herein.
In the description of the present specification, the terms "connected," "mounted," "secured," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection; can be directly connected or indirectly connected through an intermediate medium. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In the description of the present specification, it should be understood that the orientation or positional relationship indicated by the terms "upper", "lower", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of description and simplification of the description, and do not indicate or imply that the apparatus or unit referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore, should not be construed as limiting the invention.
In the description of the present specification, the terms "one embodiment," "some embodiments," "particular embodiments," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (13)

1. A method for detecting the quality of banknote packing, comprising the steps of:
before the banknote is packaged, identifying and checking the first serial number of each banknote to determine whether the banknote of the current serial number package accords with a preset serial number package;
when the currency note of the current numbering packet accords with a preset numbering packet, boxing the currency note;
and detecting the number of the paper money in the paper money box, the number of the labels in the box and the labels outside the box after the paper money is packaged.
2. The method for detecting the quality of banknote packing according to claim 1, wherein the step of detecting the number of banknote packs in the banknote box, the number of the in-box labels and the out-box labels after the banknote packing specifically comprises:
detecting whether the banknote box has an in-box label or not and whether the in-box label is too many or not on a box filling line;
detecting whether an out-of-box label of the banknote box meets a first preset condition.
3. The method for detecting the quality of banknote packing according to claim 2, wherein the out-of-box label includes a two-dimensional code label, and the step of detecting whether the out-of-box label of the banknote box satisfies a first preset condition specifically includes:
scanning the two-dimensional code label to determine the information of the current banknote box;
and comparing the information of the current banknote box with the information of the current banknote box in a database.
4. A banknote packing quality detection method according to claim 3, wherein said step of comparing said current banknote cassette information with said current banknote cassette information in a database comprises:
determining whether the position of the two-dimensional code label on the banknote box meets a preset position;
when the position of the two-dimensional code label on the banknote box meets the preset position, acquiring an external rectangle of the two-dimensional code label, and judging whether the external rectangle of the two-dimensional code label is skewed;
performing OCR (optical character recognition) on the two-dimensional code label to extract the box number of the banknote box, and comparing the Chinese characters and the numbers in the extracted box number with the Chinese characters and the numbers in a preset template;
acquiring a current two-dimensional code label image and the two-dimensional code label image in the database, comparing the current two-dimensional code label image with the two-dimensional code label image in the database, and performing blob analysis after residual points are obtained.
5. The method of claim 1, wherein the step of detecting the number of sheets in the cassette, the number of labels in the cassette, and the labels outside the cassette after the cassette is packed comprises:
generating the in-box label and the out-box label.
6. The method of claim 1, wherein the out-of-box label comprises a plurality of.
7. The method of claim 6, wherein a plurality of said out-of-box labels are disposed on opposite sides of said banknote box.
8. The method for detecting the quality of banknote packing according to claim 1, wherein the step of detecting the number of banknote packs in the banknote cassette after the banknote packing specifically comprises:
before a label-throwing station of a conveyer belt of a boxing line, a bill image in the bill box is shot to determine the number of the bills in the bill box.
9. The method for detecting the quality of banknote packing according to claim 1, wherein the step of detecting the number of banknote packs in the banknote cassette after the banknote packing specifically comprises:
and determining the number of the paper money in the paper money box according to the thickness of each paper money in the paper money box and the total thickness of the paper money.
10. The coupon packing quality detection method according to claim 1, further comprising: and sending out a prompt when the currency note of the current numbered packet does not accord with the preset numbered packet.
11. A banknote packing quality detection system, comprising:
the boxing detection module is used for identifying and checking the first serial number of each packet of paper money before boxing the paper money so as to determine whether the paper money of the current serial number packet accords with a preset serial number packet;
the boxing module is used for boxing the currency notes of the current numbered packet when the currency notes of the current numbered packet accord with a preset numbered packet;
the box label quality detection module is used for detecting the number of paper money bags in the paper money box, the number of labels in the box and the labels outside the box after the paper money is packaged.
12. A banknote packing quality detection device, comprising:
a memory and a processor, the memory storing a program or instructions that when executed by the processor perform the steps of the banknote casing quality detection method according to any one of claims 1 to 10.
13. A readable storage medium, having stored thereon a program or instructions which, when executed, implement the steps of the banknote casing quality detection method according to any one of claims 1 to 10.
CN202311311307.9A 2023-10-10 2023-10-10 Method, system, device and readable storage medium for detecting banknote packing quality Pending CN117360892A (en)

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Application Number Priority Date Filing Date Title
CN202311311307.9A CN117360892A (en) 2023-10-10 2023-10-10 Method, system, device and readable storage medium for detecting banknote packing quality

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311311307.9A CN117360892A (en) 2023-10-10 2023-10-10 Method, system, device and readable storage medium for detecting banknote packing quality

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CN117360892A true CN117360892A (en) 2024-01-09

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