CN1458613A - Artificial intelligent goods anti-fake technology - Google Patents
Artificial intelligent goods anti-fake technology Download PDFInfo
- Publication number
- CN1458613A CN1458613A CN 03137953 CN03137953A CN1458613A CN 1458613 A CN1458613 A CN 1458613A CN 03137953 CN03137953 CN 03137953 CN 03137953 A CN03137953 A CN 03137953A CN 1458613 A CN1458613 A CN 1458613A
- Authority
- CN
- China
- Prior art keywords
- password
- false
- false proof
- software
- commodity
- 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
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The artificial intelligent commodity anti-fake technology consists of cipher, anti-fake mark, digital camera, cellphone and computer with artificial intelligent mode identifying software. By means of the software, one unique cipher for each commodity is created and stored in data base automatically, and anti-fake mark is created and printed onto the package for the commodity. To some commodity to be purchased, the customer takes the image of the anti-fake mark region with digital camera in cellphone and sends the image via the cellphone to the anti-fake center; and the anti-fake center then distinguishes by means of artificial intelligent distinction mode technology and OCR technology, inquires in the data base, judges the truth of the commodity and informs the customer with the conclusion via different communication modes.
Description
Current market, the counterfeit goods wildness remains incessant after repeated prohibition, and has greatly destroyed broad masses of the people's quality of life.Fundamental purpose of the present invention is thoroughly to eradicate counterfeit goods, improves the people's quality of life.One. the technical field inventor has designed a kind of artificial intelligence mode identificating software, and it is quick, accurately differentiates the technology of commodity true and false, belongs to the computer software application scope.Two. the current false proof measure of background technology has laser anti-counterfeit and telephone service.1. laser anti-counterfeit
Use Laser Beam Printing Technology, laser anti-false sign sticks in commodity production producer in commodity packaging.
Shortcoming (1.) cost height.Because need special laser printing equipment.
(2.) laser anti-false sign itself is easily palmed off.The producer that produces counterfeit goods can pass through various ways
The footpath obtains laser anti-false sign.Occur such situation genuine article sometimes and also do not stick laser anti-counterfeit
Sign, fake products have just sticked laser anti-false sign.2. telephone service
Commodity production producer marks a string false-proof digital number on commodity when producing commodity.After the user buys commodity, the user by phone to oral this string false-proof digital number of reading out of the operating personnel of Help Center.Both sides keep phone online, and operating personnel inquire about this string false-proof digital number.
Shortcoming: the cost height, inconvenience, the influence conversation that has an accent in a minute, phone does not often get through, the telephone expenses height.Three. summary of the invention
1. the false proof software of commodity production producer is that each part commodity generates a unique password automatically, and this password is character string type or numeric type, and it is by 0--9; A--Z; A--z, these characters constitute, and this password has the 5--100 position long, can comprise area code, producer's coding, several sections such as production time coding and random number code constitute, and each password all is unique, promptly never repeats.The password content is the character string type or the numeric type field of password record, the password record comprises that also this password is by inquiry times field or the like, false proof software constitutes a password record from employing each password, what this password write down is 0 by the inquiry times field initialization, and this password record is deposited in the password database of false proof central computer and realize identification number register, from now on password is inquired about to make things convenient for the user.
2. the false proof software of commodity production producer can have two kinds of methods to generate the anti-false sign image for each password, first method, false proof software generates anti-false sign image with the former definition symbol of code characters according to certain arrangement mode according to the password content, this method, the anti-false sign image can by the public cognition, as Fig. 6; Second method, false proof software is each numeral or the self-defined graph image symbol of letter in advance, false proof software is according to the password content, numeral that constitutes the password content or letter are replaced to prior self-defining graph image symbol and generate the anti-false sign image by certain arrangement mode, this method, the anti-false sign image cannot by the public cognition, confidentiality is better, as Fig. 5.False proof software is selected wherein a kind of method to generate the anti-false sign image for each password automatically and it is printed on the packing of commodity, has so just produced unique anti-false sign for each commodity.
3. when the user desires to purchase certain commodity, the user takes the anti-false sign zone of desiring to purchase commodity with the digital camera of being furnished with on the mobile phone or common digital camera or scanner, the anti-false sign area image is sent to false proof center by modes such as cell phone multimedia message or Emails, in a single day the false proof software at false proof center find that cell phone multimedia message or Email arrive, then the false proof software automatic using artificial intelligent mode recognition technology at false proof center and OCR technology identify the anti-false sign area image password content of corresponding character string type or numeric type, the false proof software at false proof center is inquired about the password database in the false proof central computer from employing this password content then, and false proof software is analyzed according to following two kinds of situations automatically:
(1.) if do not inquire this password in the password database of false proof software in false proof central computer, illustrate that then these commodity are fake products, the false proof software at false proof center can be turned round and stretched out the hand machine short message or to wire back sub-mail or call computerized speech and generate software and give notice to the user by phone of user from the trend user, tells that these commodity of user are fake products.Poll-final.
(2.) if inquired this password in the password database of false proof software in false proof central computer, then false proof software revise in the password database in false proof central computer automatically this password by inquiry times information, this password is added 1 by inquiry times.And false proof software is divided into following two kinds of situations automatically and analyzes.
(a.) if in the password database in the false proof central computer of false proof software discovery this password by inquiry times greater than some prior preset threshold, such as 5, the packing that these commodity then are described is duplicated by the counterfeiter, therefore these commodity are fake products, the false proof software at false proof center can be turned round and stretched out the hand machine short message or to wire back sub-mail or call computerized speech and generate software and give notice to the user by phone of user from the trend user, tells that these commodity of user are fake products.Poll-final.
(b.) if this password is less than or equal to some prior preset threshold in the password database in the false proof central computer of false proof software discovery by inquiry times, such as 5, the packing that these commodity then are described is not duplicated by the counterfeiter, therefore these commodity are genuine articles, the false proof software at false proof center can be turned round and stretched out the hand machine short message or to wire back sub-mail or call computerized speech and generate software and give notice to the user by phone of user from the trend user, tells that these commodity of user are genuine article.Poll-final four. accompanying drawing of the present invention and explanation:
Fig. 1: the outline flowchart of describing this programme.
Fig. 2: the flow process of commodity production producer part among Fig. 1 is carried out refinement describe.
Fig. 3: the flow process of User Part among Fig. 1 is carried out refinement describe.
Fig. 4: the flow process of false proof core among Fig. 1 is carried out refinement describe.
Fig. 5: the anti-false sign image that second method produces, false proof software is each numeral or the self-defined graph image symbol of letter in advance, false proof software is according to the password content, numeral that constitutes the password content or letter are replaced to prior self-defining graph image symbol and generate the anti-false sign image by certain arrangement mode. this method, the anti-false sign image cannot by the public cognition, confidentiality is better.
Fig. 6: the anti-false sign image that first method produces, false proof software generates anti-false sign image with the former definition symbol of code characters according to certain arrangement mode according to the password content, this method, the anti-false sign image can by the public cognition.
Fig. 7: the phenomenon that the anti-false sign image that the user photographs has deflection occurs, and false proof software application artificial intelligence mode identification technology and OCR technology by image is adjusted in the location of witness marker symbol, are discerned earlier again.
Fig. 8: this is the anti-personation of tobacco business conceptual design, be each numeral or letter self-defined the graph image symbol.
Fig. 9: this is the outline flowchart that designs for tobacco business preventing counterfeit goods scheme.
Figure 10: the flow process of cigarette manufacturer part among Fig. 9 is carried out refinement describe.
Figure 11: the flow process of User Part among Fig. 9 is carried out refinement describe.
Figure 12: the flow process of national cigarette anti-counterfeit core among Fig. 9 is carried out refinement describe.
The invention is characterized in:
A. false proof software is that each part commodity generates a unique password automatically, this password is character string type or numeric type, it is by 0-9, A-Z, a--z, these characters constitute, this password has the 5--100 position long, and it can comprise area code, producer's coding, production time coding and random number code several sections constitute, and each password all has uniqueness;
B. false proof software can have two kinds of methods to generate the anti-false sign image for each password, first method, false proof software generates anti-false sign image with the former definition symbol of code characters according to certain arrangement mode according to the password content: second method, false proof software replaces to code characters the good graph image symbol of predefined and generates the anti-false sign image according to certain arrangement mode according to the password content.False proof software is selected wherein a kind of method to generate the anti-false sign image for each password and it is printed on the packing of commodity, and false proof like this software has just produced unique anti-false sign for each commodity;
C. the user takes the anti-false sign zone of commodity with digital camera of being furnished with on the mobile phone or common digital camera or scanner, the anti-false sign area image is sent to false proof center by cell phone multimedia message or E-mail mode, in a single day the false proof software at false proof center find cell phone multimedia message or Email, then the false proof software of computing machine automatic using artificial intelligent mode recognition technology and OCR technology identify the password content to the anti-false sign area image, false proof software is inquired about this password in the password database at false proof center automatically, in password database, do not have this password or though this password is arranged this password surpassed setting threshold by inquiry times, assert that then the commodity relevant with this password are counterfeit goods, otherwise be genuine article, false proof then software is notified the user conclusion with SMS or Email or electronic speech mode automatically.
The advantage of this anti-counterfeiting technology:
1. cost is low, and commodity production producer does not need to employ any operating personnel's all weather operations, and finishes all inquiry work automatically by the false proof software at false proof center.The user sends out a free multimedia message of mobile phone or Email can not make the user bear any financial burden.And the user need not hold the phone waits Query Result, and Query Result can very fast form with note appears in user's the mobile phone or appears at the form of mail in user's the mailbox or with the form of electronic speech points out to the user.
2. convenient, the user is when buying commodity, as long as one press gently with the anti-false sign zone that the digital camera on the mobile phone is aimed in the commodity packaging, according to this anti-false sign zone down, then according under the image in anti-false sign zone send to false proof center with the form of multimedia message and get final product.User's mobile phone will be received from the short message of false proof center about the qualification result of commodity true and false very soon then.
3. accurate, anti-false sign pattern recognition and inquiry are finished automatically by false proof software, do not exist the user to misspoke the digital problem and the problem of accent.
4. maintain secrecy, the user can't discern the anti-false sign that false proof software forms with second method.
5. response is rapid, and the identification of anti-false sign image and inquiry are finished automatically by false proof software, therefore rapidly.And computing machine can the indefatigable work of twenty four hours in one day.Five. be the case study on implementation of tobacco business preventing counterfeit goods design
1. the false proof software of the computing center of cigarette production firm is that automatically each box cigarette produces a password, this password have 30 long, comprise area code, producer's coding, several sections formations such as production time coding and random coded.Each password all has uniqueness.The password content is the character string type or the numeric type field of password record, the password record comprises that also this password is by inquiry times field or the like, false proof software constitutes a password record from employing each password, what this password write down is 0 by the inquiry times field initialization, false proof software writes down the registration that realizes in the password database that deposits our factory computing center in password to this password automatically, false proof software regularly with the form of batch processing password record in batches, pass through Internet, send in the password total data storehouse at national cigarette anti-counterfeit center, deposit password total data storehouse then in to realize batch registration, in order to inquiry from now on.
2. the false proof software of cigarette manufacturer is according to each password content, numeral that constitutes the password content or letter are replaced to prior self-defining graph image symbol and generate the anti-false sign image by certain arrangement mode, then it is printed on the packing of cigarette, so just produced unique anti-false sign for every box cigarette.Such anti-false sign can not by the public cognition, have confidentiality, as Fig. 5.
3. when the user desires to purchase certain cigarette, with the digital camera of being furnished with on the mobile phone anti-false sign zone of cigarette is taken, the anti-false sign area image is sent to national cigarette anti-counterfeit center by the cell phone multimedia message mode, in a single day the false proof software at cigarette anti-counterfeit center, the whole nation find that cell phone multimedia message arrives, false proof software automatic using artificial intelligent mode recognition technology and OCR technology identify the anti-false sign area image password content of corresponding character string type or numeric type, false proof software is inquired about national cigarette password total data storehouse from employing this password content, false proof then software goes out the true and false of corresponding cigarette according to the interpretation of result of inquiry automatically, false proof software can be turned round and stretched out the hand the machine short message from the trend user, tell the true and false of this cigarette of user, poll-final.
Claims (1)
1. artificial intelligence anti-counterfeiting technology, it is by password, anti-false sign, digital camera, mobile phone and computing machine and artificial intelligence mode identificating software are formed, and it is characterized in that:
A. false proof software is that each part commodity generates a unique password automatically, this password is character string type or numeric type, it is by 0-9, A-Z, a--z, these characters constitute, this password has the 5--100 position long, and it can comprise area code, producer's coding, production time coding and random number code several sections constitute, and each password all has uniqueness;
B. false proof software can have two kinds of methods to be that each password generates anti-false sign image, first method, and false proof software generates anti-false sign image with the former definition symbol of code characters according to certain arrangement mode according to the password content; Second method, false proof software replaces to code characters the good graph image symbol of predefined and generates the anti-false sign image according to certain arrangement mode according to the password content, false proof software is selected wherein a kind of method to generate the anti-false sign image for each password and it is printed on the packing of commodity, and false proof like this software has just produced unique anti-false sign for each commodity;
C. the user takes the anti-false sign zone of commodity with digital camera of being furnished with on the mobile phone or common digital camera or scanner, the anti-false sign area image is sent to false proof center by cell phone multimedia message or E-mail mode, in a single day the false proof software at false proof center find cell phone multimedia message or Email, then the false proof software of computing machine automatic using artificial intelligent mode recognition technology and OCR technology identify the password content to the anti-false sign area image, false proof software is inquired about this password in the password database at false proof center automatically, in password database, do not have this password or though this password is arranged this password surpassed setting threshold by inquiry times, assert that then the commodity relevant with this password are counterfeit goods, otherwise be genuine article, false proof then software is notified the user conclusion with SMS or Email or electronic speech mode automatically.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 03137953 CN1458613A (en) | 2003-06-01 | 2003-06-01 | Artificial intelligent goods anti-fake technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 03137953 CN1458613A (en) | 2003-06-01 | 2003-06-01 | Artificial intelligent goods anti-fake technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN1458613A true CN1458613A (en) | 2003-11-26 |
Family
ID=29430702
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 03137953 Pending CN1458613A (en) | 2003-06-01 | 2003-06-01 | Artificial intelligent goods anti-fake technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN1458613A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010003286A1 (en) * | 2008-07-08 | 2010-01-14 | Wang Tiemei | Method and system of trademark searching |
| CN101976406A (en) * | 2010-07-13 | 2011-02-16 | 江苏金典数据有限公司 | Anti-counterfeiting discrimination method |
| CN102385710A (en) * | 2011-08-15 | 2012-03-21 | 王志刚 | Method and system for verifying fact or fiction |
| CN102693490A (en) * | 2012-05-31 | 2012-09-26 | 东莞市智维数控科技有限公司 | Method and system for product anti-forgery enquiry based on machine vision for individual users |
| CN102737242A (en) * | 2012-06-12 | 2012-10-17 | 丰豪盈彩（北京）科技有限公司 | Automatic bill recognition method and system applied to mobile terminal |
| CN102855574A (en) * | 2012-08-15 | 2013-01-02 | 天长市浩云电子科技有限公司 | Method and system for identifying commodity information based on NFC (Near Field Communication) |
| CN103186593A (en) * | 2011-12-30 | 2013-07-03 | 牟颖 | Method for quickly acquiring quality authentication information of electric product through mobile phone |
| CN104573688A (en) * | 2015-01-19 | 2015-04-29 | 电子科技大学 | Mobile platform tobacco laser code intelligent identification method and device based on deep learning |
| CN104715382A (en) * | 2015-03-23 | 2015-06-17 | 北京金和软件股份有限公司 | Product anti-fake method |
| CN106650868A (en) * | 2016-10-15 | 2017-05-10 | 李秀江 | Visual graphic symbol code authenticity checking method and device |
| CN107491971A (en) * | 2017-08-21 | 2017-12-19 | 合肥康东福双信息科技有限公司 | A kind of commodity traceability system based on cell phone application |
| WO2024113890A1 (en) * | 2022-11-28 | 2024-06-06 | 吉林省高信技术服务有限公司 | High-fidelity anti-counterfeiting method based on rear-facing camera of mobile phone, and rear-facing camera module |
-
2003
- 2003-06-01 CN CN 03137953 patent/CN1458613A/en active Pending
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010003286A1 (en) * | 2008-07-08 | 2010-01-14 | Wang Tiemei | Method and system of trademark searching |
| CN101976406A (en) * | 2010-07-13 | 2011-02-16 | 江苏金典数据有限公司 | Anti-counterfeiting discrimination method |
| CN102385710B (en) * | 2011-08-15 | 2013-01-16 | 王志刚 | Method and system for verifying fact or fiction |
| CN102385710A (en) * | 2011-08-15 | 2012-03-21 | 王志刚 | Method and system for verifying fact or fiction |
| CN103186593A (en) * | 2011-12-30 | 2013-07-03 | 牟颖 | Method for quickly acquiring quality authentication information of electric product through mobile phone |
| CN102693490A (en) * | 2012-05-31 | 2012-09-26 | 东莞市智维数控科技有限公司 | Method and system for product anti-forgery enquiry based on machine vision for individual users |
| CN102693490B (en) * | 2012-05-31 | 2014-04-30 | 东莞市智维数控科技有限公司 | Method and system for product anti-forgery enquiry based on machine vision for individual users |
| CN102737242A (en) * | 2012-06-12 | 2012-10-17 | 丰豪盈彩（北京）科技有限公司 | Automatic bill recognition method and system applied to mobile terminal |
| CN102855574A (en) * | 2012-08-15 | 2013-01-02 | 天长市浩云电子科技有限公司 | Method and system for identifying commodity information based on NFC (Near Field Communication) |
| CN104573688A (en) * | 2015-01-19 | 2015-04-29 | 电子科技大学 | Mobile platform tobacco laser code intelligent identification method and device based on deep learning |
| CN104573688B (en) * | 2015-01-19 | 2017-08-25 | 电子科技大学 | Mobile platform tobacco laser code intelligent identification Method and device based on deep learning |
| CN104715382A (en) * | 2015-03-23 | 2015-06-17 | 北京金和软件股份有限公司 | Product anti-fake method |
| CN106650868A (en) * | 2016-10-15 | 2017-05-10 | 李秀江 | Visual graphic symbol code authenticity checking method and device |
| CN107491971A (en) * | 2017-08-21 | 2017-12-19 | 合肥康东福双信息科技有限公司 | A kind of commodity traceability system based on cell phone application |
| WO2024113890A1 (en) * | 2022-11-28 | 2024-06-06 | 吉林省高信技术服务有限公司 | High-fidelity anti-counterfeiting method based on rear-facing camera of mobile phone, and rear-facing camera module |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101887570B (en) | For stoping the method and system of product counterfeiting, transfer and piracy | |
| CN1458613A (en) | Artificial intelligent goods anti-fake technology | |
| CN109190736B (en) | Anti-counterfeiting two-dimensional code and generation method and generation application system thereof | |
| CN103208067B (en) | Antiforge system and the formation of label thereof, embed, understand, differentiate and ownership change method | |
| CN105740931B (en) | Multidimensional security code label, its production method and recognition methods | |
| WO2007028170A2 (en) | Method and device for product and document authentication | |
| CN103745247A (en) | Mark and anti-fake identification method | |
| RU2651167C2 (en) | Method and system for marking item, item so marked and method and system for authenticating marked item | |
| CN104156864A (en) | Two-dimensional code anti-counterfeit system and anti-counterfeit method thereof | |
| CN105303223A (en) | Random image anti-fake conflict logistics logo preparation method, logos and identification method | |
| CN1416092A (en) | Method for anti false of products and general management of materials circulation as well as system | |
| CN103310344A (en) | CCQR (Colorful Coded Quick Response) anti-counterfeiting method | |
| CN111639734A (en) | Novel QR code embedded two-dimensional code coding and anti-counterfeiting application method | |
| CN109831309A (en) | A kind of safety code principle and method with multiple-authentication | |
| CN102880902A (en) | Texture anti-counterfeit structure combining barcode inquiry with short message inquiry, texture anti-counterfeit logistics system, and texture anti-counterfeit logistics method | |
| CN108647980A (en) | A kind of Antiforge recognizing method of fine diffusion trace | |
| CN104715382A (en) | Product anti-fake method | |
| CN201022027Y (en) | 3-dimenstion image and text counterfeit proof identifier | |
| CN1186886C (en) | Anti-fake recognition communication system and using method | |
| CN1492364A (en) | Method for producing anti-fake label capable of inquiring random figure arrangement matrix | |
| CN110210877B (en) | Anti-counterfeiting management method and anti-counterfeiting data input method | |
| CN107481020B (en) | Anti-counterfeiting method of two-dimensional code, anti-counterfeiting two-dimensional code and commodity anti-counterfeiting method | |
| CN106570545A (en) | Mobile phone screening technology of brand tiles | |
| CN1545053A (en) | General false-proof system composing method and apparatus | |
| CN109299770B (en) | Anti-counterfeiting two-dimensional code and laser hologram encryption method and production application system thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Open date: 20031126 |