CN113095851A - Tobacco information acquisition method, device and system and readable storage medium - Google Patents
Tobacco information acquisition method, device and system and readable storage medium Download PDFInfo
- Publication number
- CN113095851A CN113095851A CN202110363506.9A CN202110363506A CN113095851A CN 113095851 A CN113095851 A CN 113095851A CN 202110363506 A CN202110363506 A CN 202110363506A CN 113095851 A CN113095851 A CN 113095851A
- Authority
- CN
- China
- Prior art keywords
- information
- cigarette
- violation
- tobacco
- image
- 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
- 235000002637 Nicotiana tabacum Nutrition 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 title claims abstract description 24
- 244000061176 Nicotiana tabacum Species 0.000 title 1
- 235000019504 cigarettes Nutrition 0.000 claims abstract description 170
- 241000208125 Nicotiana Species 0.000 claims abstract description 62
- 230000002159 abnormal effect Effects 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 abstract description 8
- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 230000001788 irregular Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 3
- 230000008676 import Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Multimedia (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Finance (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
The invention relates to the technical field of cigarette inspection, and particularly discloses a tobacco information acquisition method, a device, a system and a storage medium, wherein the method comprises the steps of acquiring a circulation information inquiry code image on a cigarette; carrying out image recognition on the circulation information inquiry code image to obtain a circulation information inquiry code; judging whether the cigarette is produced in a regular channel according to whether the circulation information can be inquired by the circulation information inquiry code, and automatically generating a second electronic ticket if the cigarette is a smuggled cigarette; and comparing the circulation information with the basic information of the point of sale to be checked in the production of a regular channel, judging whether violation occurs, and automatically issuing a second electronic ticket for violation sales. By adopting the technical scheme of the invention, the feeding channel can be automatically inquired and whether the cigarette is fed by a normal channel can be identified, and the electronic penalty ticket is intelligently generated for the unqualified cigarette, so that the cigarette inspection efficiency is more efficient.
Description
Technical Field
The invention relates to the technical field of tobacco inspection, in particular to a tobacco information acquisition method, a device, a system and a readable storage medium.
Background
In order to standardize the tobacco monopoly market, tobacco bureaus often send auditors to conduct inspections in the tobacco market. The existing tobacco inspection mode is that an inspector detects the sale qualification of tobacco, a purchase channel, the truth of sold tobacco and the like at a tobacco sale point and performs punishment on illegal sold tobacco filling in a ticket. Because the source of the feeding channel is traced and whether the tobacco is fed by a normal channel is identified, manual identification is difficult and inspection efficiency is low. Therefore, a system or a device capable of automatically discriminating whether the point of sale illegally sells tobacco is urgently needed to solve the problem.
Disclosure of Invention
In order to solve the technical problems of low inspection efficiency caused by difficult identification of traceability of a feeding channel, whether tobacco is fed in an orbit channel and the like in a manual field, the invention provides tobacco information acquisition.
The basic scheme of the invention is as follows:
the tobacco information acquisition method comprises the following steps:
an information acquisition step, wherein a circulation information inquiry code image on the cigarette is acquired;
an information extraction step, namely performing image recognition on the flow communication information inquiry code image to obtain a flow communication information inquiry code;
an information inquiry step, namely inquiring according to the circulation information inquiry code, and if circulation information is inquired, executing a violation checking step; if the query result is null, executing a second ticket generation step;
the violation checking step, namely comparing and analyzing the circulation information with the basic information of the point of sale to be checked to obtain an information comparison result, and if the information comparison result is different, executing a first ticket generation step, wherein the basic information comprises tobacco monopoly license information of the point of sale to be checked, identity card information of a salesman, receipt information and a driving license image of a cigarette transportation staff;
a first ticket generation step, wherein basic information, circulation information and corresponding cigarette violation item selection information of the point of sale to be detected are imported into a first ticket template to generate a first electronic ticket;
and a second ticket generation step, namely importing the basic information of the point of sale to be detected into a second ticket template to generate a second electronic ticket.
The basic scheme has the beneficial effects that: 1. the circulation information on the cigarette is small in inquiry code, the number of the codes is large, the traditional check personnel can input the information by themselves and the check personnel is complex and prone to making mistakes. According to the technical scheme, the circulation information inquiry code on the cigarette carton is automatically identified by shooting/scanning the circulation information inquiry code image, so that not only is the manual information filling error avoided, but also the information input efficiency is higher.
2. Circulation information of the cigarette carton such as production, circulation, sale and the like is recorded into a database of the circulation information inquiry platform and corresponds to a unique circulation information inquiry code, so that whether the circulation information is obtained or not is inquired through the circulation information inquiry code, whether the cigarette carton is an irregular cigarette carton such as a smuggled cigarette/fake cigarette or not can be judged, a second electronic ticket for punishing the sale of the irregular cigarette carton such as the smuggled cigarette/fake cigarette is automatically generated if an inquiry result is empty.
3. Compared with the traditional paper ticket, the electronic ticket has the effects of printing, conveniently storing and retaining files, reducing the cost of issuing tickets and the like.
4. The circulation information that will inquire out carries out the second grade information comparison of the same kind with the basic information of being examined the point of sale, when the comparison result appears and has the difference, the strip cigarette of confirming promptly selling is not conform to the regulation, obtains the strip cigarette according to the part that appears unusually in the comparison result and violates the matter, and then the automatic generation punishs the No. two electronic ticket of violating the punishment, compares in traditional manual ticket information of filling in, generates the mode of ticket, and is more intelligent, simple and convenient, high-efficient.
Further, the method also comprises an intelligent counting step, which comprises the following steps:
s1, collecting a cigarette carton pile image of the number of cigarettes to be counted;
s2, carrying out feature recognition on the cigarette carton pile images through a feature recognition model, and carrying out feature marking on the cigarette carton pile images;
and S3, counting the quantity of the characteristic marks in the cigarette stack image to obtain the quantity information of the cigarettes in the cigarette stack image.
Has the advantages that: traditionally, when an inspector checks the number of cigarettes, the number of the cigarettes is counted one by one, and when the number of the cigarettes needing to be checked is large, errors are easily checked. According to the scheme, the automatic feature recognition is carried out on the cigarette stack images of the number of the cigarettes to be checked, the cigarettes in the image of the cigarette stack are recognized, the cigarette stack images are marked, and the number of the marked features in the cigarette stack images is counted, so that the number of the checked cigarettes is obtained. Therefore, intelligent counting of the cigarettes is realized, and counting of the cigarettes is more efficient and accurate.
Further, the first ticket generation step also comprises a cigarette violation item checking step, and specifically comprises the following steps:
s1, retrieving and pushing information comparison results and preset cigarette violation options;
and S2, acquiring the tobacco carton violation information fed back.
Has the advantages that: and when the cigarette violation information cannot be intelligently selected according to the difference part of the comparison results, namely the violation condition with weak directivity, the information comparison result is called and pushed to an inspector, and the inspector performs manual judgment, so that accurate feedback of the cigarette violation information is obtained when the cigarette violation information cannot be judged only from the category to which the cigarette violation information belongs, and the normal issuing of the electronic ticket II is facilitated.
Further, the first ticket generation step also comprises a cigarette violation intelligent selection step, and specifically comprises the following steps:
s1, capturing difference part information in the information comparison result;
s2, carrying out information category analysis on the difference part information to obtain the category of the difference part information;
and S3, finding out the violation information of the cigarette from the preset category-violation regulation comparison table according to the category.
Has the advantages that: if the category of the different part information in the information comparison result is associated with the violation of the cigarette carton, if the sale license of the cigarette carton goes wrong, the thirty-second item violating the 'Chinese people' republic of China 'tobacco monopoly law' and the fifty-seventh item violating the 'Chinese people' republic of China 'tobacco monopoly law' embodiment can be automatically searched from the preset category-violation regulation comparison table. By the method, the cigarette violation information is automatically selected for the category to which the cigarette violation information is associated, so that intelligent generation of the second electronic ticket is facilitated.
The tobacco information acquisition system comprises an information acquisition module, an information identification module, an information inquiry module, an information analysis module, a violation regulation acquisition module and a document generation module, wherein:
the information acquisition module is used for acquiring a detected document image of a detected point of sale and a circulation information inquiry code image on a cigarette;
the information identification module is used for respectively carrying out image identification on the detected file image and the circulation information inquiry code image to obtain basic information and a circulation information inquiry code;
the information inquiry module is used for inquiring according to the circulation information inquiry code, and generating violation check information if circulation information is inquired; if the query result is empty, generating fake cigarette identification information;
the information analysis module is used for comparing the basic information with the circulation information when the violation detection information is received, and generating abnormal sales information if the comparison result is abnormal;
the violation regulation acquisition module is used for acquiring violation information of the cigarettes when the abnormal sales information is received;
the document generation module is used for importing the basic information, the circulation information and the cigarette violation information into a preset ticket template to generate an electronic ticket; and the system is also used for importing the basic information into a preset second ticket template to generate a second electronic ticket when the fake cigarette identification information is received.
Has the advantages that: 1. the detected files comprise tobacco sales licenses of detected sales points, identity cards of sales personnel, bills of goods and driver licenses of tobacco transportation personnel, and the like, the information is more, circulation information query codes on the cigarettes are smaller, the number of the codes is more, and the traditional inspection personnel can enter the codes by themselves more complicatedly and easily make mistakes. According to the technical scheme, the basic information on the detected file and the circulation information inquiry code on the cigarette are automatically identified by shooting/scanning the detected file image and the circulation information inquiry code image, so that not only is the manual information filling error avoided, but also the information input efficiency is higher.
2. Circulation information of the cigarette carton, such as production, circulation, sale and the like, is recorded into a database of the circulation information inquiry platform and corresponds to a unique circulation information inquiry code, so that whether the circulation information is obtained through the circulation information inquiry code can be judged, whether the cigarette carton is an irregular cigarette carton such as a smuggled cigarette carton or a fake cigarette can be judged, an inquiry result is empty, a second electronic ticket for punishing and selling the irregular cigarette carton such as the smuggled cigarette carton or the fake cigarette is automatically generated, the second electronic ticket is internally provided with information of the violation of the cigarette carton for selling the irregular cigarette carton, the selection steps of the violation of the cigarette carton are reduced, and the opening efficiency of the ticket is improved.
3. Circulation information and basic information that will inquire out carry out the information comparison of the same kind, appear when the comparison result having different, the strip cigarette of affirming to sell promptly does not conform to the regulation, and the part that appears unusually in the comparison result obtains the strip cigarette and violates the item, and then the automatic generation punishs No. two electronic ticket of violating the rule, compares in traditional manual filling in ticket information, generates the mode of ticket, and is more intelligent, simple and convenient, high-efficient.
Compared with the traditional paper ticket, the electronic ticket has the effects of printing, conveniently storing and retaining files, reducing the cost of issuing tickets and the like.
The system further comprises a quantity identification module, and the information acquisition module is also used for acquiring a cigarette carton pile image of the number of cigarettes to be checked;
the quantity counting module is used for carrying out feature recognition on the image of the cigarette carton through the feature recognition model, marking the recognized features in the image of the cigarette carton pile, and counting the number of the marked features in the image of the cigarette carton pile to obtain the quantity information of the cigarette carton in the image of the cigarette carton pile.
Has the advantages that: according to the scheme, the automatic feature recognition is carried out on the cigarette stack images of the number of the cigarettes to be checked, the cigarettes in the image are recognized, the cigarette stack images are marked, and the number of the marked features in the cigarette stack images is counted to obtain the number of the checked cigarettes. Thereby realize the intelligent point of strip cigarette, compare in the mode of inspector in turn counting in tradition, the strip cigarette is checked the rate of accuracy and is higher, more high-efficient.
Further, the violation regulation acquisition module comprises a first violation regulation acquisition module, and the first violation regulation acquisition module is used for calling and pushing the information comparison result and the preset cigarette violation item option when receiving the abnormal sales information, and acquiring the fed back cigarette violation item information.
Has the advantages that: when the cigarette violation information cannot be intelligently selected according to the comparison result difference part, the information comparison result is called and pushed to the inspector, and the inspector performs manual judgment, so that accurate feedback of the cigarette violation information is obtained when the cigarette violation information cannot be judged only from the category to which the cigarette violation information belongs, and normal opening of the second electronic ticket is facilitated.
Further, the violation regulation acquisition module comprises a second violation regulation acquisition module, and the second violation regulation acquisition module is configured to capture the difference part information in the information comparison result when the abnormal sales information is received, perform information category analysis on the difference part information to obtain a category of the difference part information, and search the preset category-violation regulation comparison table according to the category to obtain the cigarette violation item information.
Has the advantages that: if the category of the different part information in the information comparison result is associated with the violation of the cigarette carton, if the sale license of the cigarette carton goes wrong, the thirty-second item violating the 'Chinese people' republic of China 'tobacco monopoly law' and the fifty-seventh item violating the 'Chinese people' republic of China 'tobacco monopoly law' embodiment can be automatically searched from the preset category-violation regulation comparison table. By the method, the cigarette violation information is automatically selected for the category to which the cigarette violation information is associated, so that intelligent generation of the second electronic ticket is facilitated.
Readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the tobacco information collecting method according to any one of claims 1 to 4.
The tobacco information acquisition device is characterized by comprising a processor and a memory; the memory has stored therein an application executable by the processor for causing the processor to perform the steps of the tobacco information gathering method as claimed in any one of claims 1 to 4.
Drawings
FIG. 1 is a flow chart of embodiments of a method, apparatus, system, and storable medium for tobacco information collection;
FIG. 2 is a logic diagram of embodiments of a method, apparatus, system, and storage medium for tobacco information collection.
Detailed Description
The following is further detailed by way of specific embodiments:
examples
The tobacco information acquisition method, as shown in fig. 1, comprises the following steps:
and an information acquisition step, wherein a circulation information inquiry code image on the cigarette carton is acquired.
And an information extraction step, namely performing image recognition on the flow communication information inquiry code image to obtain a flow communication information inquiry code. In this embodiment, the circulation information inquiry code is a 32-bit code, and the 32 bits are composed of numbers and letters. Because the circulation information inquiry code sprayed on the cigarette carton is relatively small, the acquired circulation information inquiry code of the circulation information inquiry code image clock is usually not clear enough, and the accurate extraction of the circulation information inquiry code is influenced. Therefore, different circulation information inquiry codes are sampled and machine learning training is carried out, and a circulation information inquiry code identification model is obtained. The flow information inquiry code image is identified with high precision through the flow information inquiry code identification model to obtain the flow information inquiry code, so that the problem of identification error or incapability of identification caused by unclear flow information inquiry code is solved.
And an information inquiry step, namely inquiring from the circulation information inquiry platform according to the circulation information inquiry code, if circulation information is inquired, executing the violation checking step, and if the inquiry result is empty, executing the second ticket generation step.
The violation checking step specifically comprises the following steps:
s1, collecting basic information of the point of sale to be detected; the basic information comprises tobacco monopoly license information of a detected point of sale, identity card information of a salesperson, receipt information, a driving license image of a cigarette transportation person and the like. The acquisition mode of the basic information comprises manual input, scanning identification and other input modes. The scanning and recording mode comprises the following steps: and acquiring a detected document image of a detected point of sale, and performing image identification on the detected document image to obtain basic information. The detected document image comprises a tobacco monopoly license image of a detected point of sale, an identity card image of a salesperson, a delivery bill image, a driver license image of a tobacco transporting person and the like. Because the detected document includes the tobacco sale license of the detected point of sale, the identification card of the salesperson, the invoice, the driver's license of the tobacco transporting worker, and the like, and the information is more, the basic information is preferably obtained by scanning and identifying in the embodiment.
And S2, comparing the inquired circulation information with the basic information to obtain an information comparison result, and executing a first ticket generation step if the information comparison result is different.
And a first ticket generation step of introducing the basic information of the point of sale to be detected and the corresponding cigarette violation selection information into a first ticket template to generate a first electronic ticket. The method specifically comprises a half-structure ticket generation step, a cigarette violation item selection step and a ticket generation step, wherein:
and a step of generating a semi-structure ticket, which is to introduce the basic information and the circulation information of the point of sale to be detected into a ticket template to generate a semi-structure electronic ticket.
The cigarette violation selecting step specifically comprises a cigarette violation checking step and a cigarette violation intelligent selecting step in parallel relation, wherein:
the method comprises the following steps of:
s1, retrieving and pushing information comparison results and preset cigarette violation options;
and S2, acquiring the tobacco carton violation information fed back.
The intelligent selection step of the cigarette violation event specifically comprises the following steps:
s1, capturing difference part information in the information comparison result;
s2, carrying out information category analysis on the difference part information to obtain the category of the difference part information, wherein the category comprises a seller, a point of sale, a driver' S license number of a transporter, a bill of lading and the like;
and S3, finding out the cigarette violation item selection information from the preset category-violation regulation comparison table according to the category.
And a ticket generation step of introducing the cigarette violation item selection information into the semi-structure electronic ticket to generate a first electronic ticket.
And a second ticket generation step, namely importing the basic information of the point of sale to be detected into a second ticket template to generate a second electronic ticket.
The intelligent counting step comprises the following steps:
s1, collecting a cigarette carton pile image of the number of cigarettes to be counted;
s2, carrying out feature recognition on the cigarette carton pile images through a feature recognition model, and carrying out feature labeling on the cigarette carton pile images, wherein the feature recognition model is a neural network model generated by training a plurality of groups of cigarette carton features;
and S3, counting the quantity of the characteristic marks in the cigarette stack image to obtain the quantity information of the cigarettes in the cigarette stack image.
The invention also provides a tobacco information acquisition system, as shown in fig. 2, comprising an information acquisition module, an information identification module, an information inquiry module, an information analysis module, a violation regulation acquisition module, a document generation module and a communication module, wherein:
the information acquisition module is used for acquiring the image of the detected document at the detected point of sale and the image of the circulation information inquiry code on the cigarette carton. The information acquisition module is also used for acquiring the cigarette carton pile images of the number of cigarettes to be checked.
The information identification module is used for respectively carrying out image identification on the detected file image and the circulation information inquiry code image to obtain basic information and a circulation information inquiry code;
the information inquiry module is used for inquiring according to the circulation information inquiry code, and generating violation check information if circulation information is inquired; if the query result is empty, generating fake cigarette identification information;
the information analysis module is used for comparing the basic information with the circulation information when the violation detection information is received, and generating abnormal sales information if the comparison result is abnormal;
the violation regulation acquisition module is used for acquiring violation information of the cigarette carton when the abnormal sales information is received. The violation regulation acquisition module comprises a first violation regulation acquisition module and a second violation regulation acquisition module. Specifically, the method comprises the following steps:
the first violation regulation obtaining module is used for calling and pushing the information comparison result and the preset cigarette violation option when receiving the abnormal sales information, and obtaining the fed back cigarette violation information.
And the second violation regulation acquisition module is used for capturing the difference part information in the information comparison result when the abnormal sales information is received, performing information category analysis on the difference part information to obtain the category of the difference part information, and searching the preset category-violation regulation comparison table according to the category to obtain the cigarette violation item information.
The document generation module is used for importing the basic information, the circulation information and the cigarette violation information into a preset ticket template to generate an electronic ticket; and the system is also used for importing the basic information into a preset second ticket template to generate a second electronic ticket when the fake cigarette identification information is received.
The communication module is used for being in communication connection with the printing terminal and sending the generated first electronic ticket or second electronic ticket to the printing terminal.
The quantity counting module is used for carrying out feature recognition on the image of the cigarette carton through the feature recognition model, marking the recognized features in the image of the cigarette carton pile, and counting the number of the marked features in the image of the cigarette carton pile to obtain the quantity information of the cigarette carton in the image of the cigarette carton pile.
The invention also provides a tobacco information collecting device and a readable storage medium, wherein the device comprises a processor and a memory, the memory is a computer readable storage medium, an application program which can be executed by the processor is stored on the memory, and when the application program is executed by the processor, the tobacco information collecting method according to the above embodiment of the invention is realized.
Specific uses of this example: the auditor shoots the images of the tobacco sale license at the point of sale to be inspected, the identity card image of the auditor, the driving license image of the tobacco delivery personnel, the goods loading list image, the driving license image of the tobacco delivery personnel and the circulation information inquiry image on the cigarette carton. Then, an information extraction module in the system extracts basic information in the spare part file image and a circulation information inquiry code in the circulation information inquiry code image.
If the checked cigarette is a fake cigarette, the information query module queries that the result is empty from the circulation information query platform according to the circulation information query code, and at the moment, the document generation module imports the basic information into the second ticket template to generate a second electronic ticket.
If the detected cigarette is a real cigarette, the information query module queries the circulation information of the detected cigarette from the circulation information query platform according to the circulation information query code. Then, the information analysis module compares the basic information with the circulation information, and if the comparison result is normal, the situation that the violation condition does not occur at the point of sale to be detected is indicated; if the comparison result is abnormal, the violation situation of the detected point of sale is shown, and a ticket needs to be issued.
And the violation regulation acquisition module captures the difference part information in the information comparison result, performs information category analysis on the difference part information to obtain the category of the difference part information, and searches the preset category-violation regulation comparison table according to the category to obtain the cigarette violation item information. Or the violation regulation acquiring module calls the information comparison result, pushes the information comparison result and a preset tobacco violation item option to the inspector and acquires the tobacco violation item information fed back by the inspector.
And the document generation module imports the basic information, the circulation information and the tobacco carton violation information into a preset ticket template to generate an electronic ticket.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. The tobacco information acquisition method is characterized by comprising the following steps:
an information acquisition step, wherein a circulation information inquiry code image on the cigarette is acquired;
an information extraction step, namely performing image recognition on the flow communication information inquiry code image to obtain a flow communication information inquiry code;
an information inquiry step, namely inquiring according to the circulation information inquiry code, and if circulation information is inquired, executing a violation checking step; if the query result is null, executing a second ticket generation step;
the violation checking step, namely comparing and analyzing the circulation information with the basic information of the point of sale to be checked to obtain an information comparison result, and if the information comparison result is different, executing a first ticket generation step, wherein the basic information comprises tobacco monopoly license information of the point of sale to be checked, identity card information of a salesman, receipt information and a driving license image of a cigarette transportation staff;
a first ticket generation step, wherein basic information, circulation information and corresponding cigarette violation item selection information of the point of sale to be detected are imported into a first ticket template to generate a first electronic ticket;
and a second ticket generation step, namely importing the basic information of the point of sale to be detected into a second ticket template to generate a second electronic ticket.
2. The tobacco information collection method according to claim 1, further comprising an intelligent point counting step, comprising the steps of:
s1, collecting a cigarette carton pile image of the number of cigarettes to be counted;
s2, carrying out feature recognition on the cigarette carton pile images through a feature recognition model, and carrying out feature marking on the cigarette carton pile images;
and S3, counting the quantity of the characteristic marks in the cigarette stack image to obtain the quantity information of the cigarettes in the cigarette stack image.
3. The tobacco information collection method according to claim 1, wherein the first ticket generation step further comprises a tobacco carton violation check step, and specifically comprises the following steps:
s1, retrieving and pushing information comparison results and preset cigarette violation options;
and S2, acquiring the tobacco carton violation information fed back.
4. The tobacco information collection method according to claim 1, wherein the first ticket generation step further comprises a tobacco carton violation intelligent selection step, specifically comprising the steps of:
s1, capturing difference part information in the information comparison result;
s2, carrying out information category analysis on the difference part information to obtain the category of the difference part information;
and S3, finding out the violation information of the cigarette from the preset category-violation regulation comparison table according to the category.
5. The tobacco information acquisition system is characterized by comprising an information acquisition module, an information identification module, an information query module, an information analysis module, a violation regulation acquisition module and a document generation module, wherein:
the information acquisition module is used for acquiring a detected document image of a detected point of sale and a circulation information inquiry code image on a cigarette;
the information identification module is used for respectively carrying out image identification on the detected file image and the circulation information inquiry code image to obtain basic information and a circulation information inquiry code;
the information inquiry module is used for inquiring according to the circulation information inquiry code, and generating violation check information if circulation information is inquired; if the query result is empty, generating fake cigarette identification information;
the information analysis module is used for comparing the basic information with the circulation information when the violation detection information is received, and generating abnormal sales information if the comparison result is abnormal;
the violation regulation acquisition module is used for acquiring violation information of the cigarettes when the abnormal sales information is received;
the document generation module is used for importing the basic information, the circulation information and the cigarette violation information into a preset ticket template to generate an electronic ticket; and the system is also used for importing the basic information into a preset second ticket template to generate a second electronic ticket when the fake cigarette identification information is received.
6. The tobacco information collection system of claim 5, wherein: the cigarette counting system further comprises a quantity identification module, and the information acquisition module is also used for acquiring a cigarette stack image of the quantity of cigarettes to be counted;
the quantity counting module is used for carrying out feature recognition on the image of the cigarette carton through the feature recognition model, marking the recognized features in the image of the cigarette carton pile, and counting the number of the marked features in the image of the cigarette carton pile to obtain the quantity information of the cigarette carton in the image of the cigarette carton pile.
7. The tobacco information collection system of claim 5, wherein: the violation regulation acquisition module comprises a first violation regulation acquisition module, and the first violation regulation acquisition module is used for calling and pushing the information comparison result and the preset cigarette violation item option when receiving the abnormal sales information, and acquiring the fed back cigarette violation item information.
8. The tobacco information collection system of claim 5, wherein: the violation regulation acquisition module comprises a second violation regulation acquisition module, and the second violation regulation acquisition module is used for capturing the difference part information in the information comparison result when the abnormal sales information is received, performing information category analysis on the difference part information to obtain the category of the difference part information, and searching the preset category-violation regulation comparison table according to the category to obtain the cigarette violation item information.
9. Readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, carries out the steps of the tobacco information collecting method according to any one of claims 1 to 4.
10. The tobacco information acquisition device is characterized by comprising a processor and a memory; the memory has stored therein an application executable by the processor for causing the processor to perform the steps of the tobacco information gathering method as claimed in any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110363506.9A CN113095851A (en) | 2021-04-02 | 2021-04-02 | Tobacco information acquisition method, device and system and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110363506.9A CN113095851A (en) | 2021-04-02 | 2021-04-02 | Tobacco information acquisition method, device and system and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113095851A true CN113095851A (en) | 2021-07-09 |
Family
ID=76673632
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110363506.9A Pending CN113095851A (en) | 2021-04-02 | 2021-04-02 | Tobacco information acquisition method, device and system and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113095851A (en) |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1707487A (en) * | 2004-06-09 | 2005-12-14 | 袁玉宇 | Legal information intelligent analysing and processing method and system |
| CN101599068A (en) * | 2009-07-09 | 2009-12-09 | 耿泉生 | A kind of method and system of advertising bound with anti-forgery check of medicine point-of-sale terminal issue |
| CN101944215A (en) * | 2009-07-10 | 2011-01-12 | 陕西省烟草公司铜川市公司 | Method for cigarette identification and fake cigarette network analysis |
| CN203773568U (en) * | 2014-04-08 | 2014-08-13 | 江苏省连云港市烟草专卖局 | Tobacco monopoly mobile law enforcement integrated machine |
| CN203773587U (en) * | 2014-03-04 | 2014-08-13 | 范颖 | Tobacco anti-fake traceability system |
| KR20150053070A (en) * | 2013-11-07 | 2015-05-15 | 유넷시스템주식회사 | Unusual action decision system |
| CN105046501A (en) * | 2015-06-26 | 2015-11-11 | 河南省烟草公司商丘市公司 | Cigarette authenticity electronic identification method and device |
| KR101747670B1 (en) * | 2016-01-07 | 2017-06-15 | 한국인터넷진흥원 | Method for detecting secure ploicy contravention |
| CN107818138A (en) * | 2017-09-28 | 2018-03-20 | 银江股份有限公司 | A kind of case legal regulation recommends method and system |
| CN109493174A (en) * | 2018-11-06 | 2019-03-19 | 南阳市烟草公司城区分公司 | A kind of tobacco monopoly administration method, apparatus and system |
| CN109508998A (en) * | 2017-09-11 | 2019-03-22 | 中兴通讯股份有限公司 | A kind of tobacco based on block chain is traced to the source method for anti-counterfeit and system |
| CN109858584A (en) * | 2019-01-18 | 2019-06-07 | 深圳壹账通智能科技有限公司 | Auxiliary enforcement approach, device, equipment and storage medium based on artificial intelligence |
| CN110111002A (en) * | 2019-05-07 | 2019-08-09 | 贵州省烟草公司贵阳市公司 | Tobacco monopolization site intelligent checking method, device and electronic equipment |
| WO2019237243A1 (en) * | 2018-06-12 | 2019-12-19 | 深圳前海达闼云端智能科技有限公司 | Article identification method and apparatus, and server and readable storage medium |
| CN111046730A (en) * | 2019-11-08 | 2020-04-21 | 北京海益同展信息科技有限公司 | Plant data processing method and device, computer equipment and storage medium |
| US20200265540A1 (en) * | 2019-02-15 | 2020-08-20 | Everett Ogden | System, Method and Device for Registration and Identification of Prescribed and Legally Dispensed Cannabis Products |
-
2021
- 2021-04-02 CN CN202110363506.9A patent/CN113095851A/en active Pending
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1707487A (en) * | 2004-06-09 | 2005-12-14 | 袁玉宇 | Legal information intelligent analysing and processing method and system |
| CN101599068A (en) * | 2009-07-09 | 2009-12-09 | 耿泉生 | A kind of method and system of advertising bound with anti-forgery check of medicine point-of-sale terminal issue |
| CN101944215A (en) * | 2009-07-10 | 2011-01-12 | 陕西省烟草公司铜川市公司 | Method for cigarette identification and fake cigarette network analysis |
| KR20150053070A (en) * | 2013-11-07 | 2015-05-15 | 유넷시스템주식회사 | Unusual action decision system |
| CN203773587U (en) * | 2014-03-04 | 2014-08-13 | 范颖 | Tobacco anti-fake traceability system |
| CN203773568U (en) * | 2014-04-08 | 2014-08-13 | 江苏省连云港市烟草专卖局 | Tobacco monopoly mobile law enforcement integrated machine |
| CN105046501A (en) * | 2015-06-26 | 2015-11-11 | 河南省烟草公司商丘市公司 | Cigarette authenticity electronic identification method and device |
| KR101747670B1 (en) * | 2016-01-07 | 2017-06-15 | 한국인터넷진흥원 | Method for detecting secure ploicy contravention |
| CN109508998A (en) * | 2017-09-11 | 2019-03-22 | 中兴通讯股份有限公司 | A kind of tobacco based on block chain is traced to the source method for anti-counterfeit and system |
| CN107818138A (en) * | 2017-09-28 | 2018-03-20 | 银江股份有限公司 | A kind of case legal regulation recommends method and system |
| WO2019237243A1 (en) * | 2018-06-12 | 2019-12-19 | 深圳前海达闼云端智能科技有限公司 | Article identification method and apparatus, and server and readable storage medium |
| CN109493174A (en) * | 2018-11-06 | 2019-03-19 | 南阳市烟草公司城区分公司 | A kind of tobacco monopoly administration method, apparatus and system |
| CN109858584A (en) * | 2019-01-18 | 2019-06-07 | 深圳壹账通智能科技有限公司 | Auxiliary enforcement approach, device, equipment and storage medium based on artificial intelligence |
| US20200265540A1 (en) * | 2019-02-15 | 2020-08-20 | Everett Ogden | System, Method and Device for Registration and Identification of Prescribed and Legally Dispensed Cannabis Products |
| CN110111002A (en) * | 2019-05-07 | 2019-08-09 | 贵州省烟草公司贵阳市公司 | Tobacco monopolization site intelligent checking method, device and electronic equipment |
| CN111046730A (en) * | 2019-11-08 | 2020-04-21 | 北京海益同展信息科技有限公司 | Plant data processing method and device, computer equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 原创立文档知识共享平台: "烟草防伪防窜货系统整体解决方案", pages 3, Retrieved from the Internet <URL:《https://wenku.baidu.com/view/1fde564752d380eb63946d0c.html?fr=hp_Database&_wkts_=1712568279445&bdQuery=%E7%83%9F%E8%8D%89%E9%98%B2%E4%B8%B2%E8%B4%A7%E7%B3%BB%E7%BB%9F》> * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP5105561B2 (en) | Method for processing mail pieces using client code associated with digital imprint | |
| US7720256B2 (en) | Idenitfication tag for postal objects by image signature and associated mail handling | |
| US20080272585A1 (en) | Method and programmable product for unique document identification using stock and content | |
| US8117071B1 (en) | Method and system for matching via an image search query at a point of sale | |
| CN103597434B (en) | Personal information display system and correlation technique | |
| CN108108744B (en) | Method and system for radiation image auxiliary analysis | |
| CN111459975B (en) | Bill verification system and method for enterprise reimbursement | |
| WO2016186137A1 (en) | Accounting assistance system | |
| CN115358751B (en) | Automatic auditing method and device for transaction receipt and electronic equipment | |
| CN113379526A (en) | Intelligent invoice reimbursement method and device, electronic equipment and computer storage medium | |
| JP6507459B2 (en) | Accounting system | |
| CN111950560A (en) | Invoice checking device and method | |
| CN115063084A (en) | Inventory checking method and system for cigarette retail merchants | |
| JP5456776B2 (en) | How to classify multiple objects in data analysis | |
| CN112632926B (en) | Bill data processing method and device, electronic equipment and storage medium | |
| CN113191448A (en) | Auditing method, device and equipment based on picture identification and storage medium | |
| CN113095851A (en) | Tobacco information acquisition method, device and system and readable storage medium | |
| CN111429645A (en) | True checking and weight checking system for bills | |
| CN108557364B (en) | Automatic inventory making method and device | |
| CN111415234A (en) | Bill reimbursement management system and method for enterprise | |
| CN111382710A (en) | Drawing comparison method based on image recognition | |
| US9199282B2 (en) | Method of tracking mailpieces for measuring journey times through a multi-network postal sorting system | |
| CN101425141B (en) | Image recognition apparatus and image recognition method | |
| EP3125185A1 (en) | Transaction slip search method, information processing apparatus, and transaction slip search program | |
| CN112862409A (en) | Picking bill verification method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |