CN109858306A - Internet method for anti-counterfeit and system based on natural grain - Google Patents
Internet method for anti-counterfeit and system based on natural grain Download PDFInfo
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- CN109858306A CN109858306A CN201910115167.5A CN201910115167A CN109858306A CN 109858306 A CN109858306 A CN 109858306A CN 201910115167 A CN201910115167 A CN 201910115167A CN 109858306 A CN109858306 A CN 109858306A
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Abstract
Internet method for anti-counterfeit and system based on natural grain, including following part: needing the anti-fake and product with irreproducible textural characteristics or the key components and parts above product, the key components and parts of product or product need unique texture, product passes over specific label simultaneously, with specific label, and label and texture information have been entered into the database of server；Mobile phone app, for realizing: friendly operation interface is provided for user, the photo for the specific position for shooting product, photo is analyzed and is handled, by analysis and treated that file is sent to server, receive returning the result from server, the results are shown in face of user；Server is arranged in specific computer room, for realizing: data from mobile phone app are received, received data and stored good data are compared, the result after comparison is returned to the log informations such as app, the time currently compared in server record.
Description
Technical field
Internet method for anti-counterfeit and system based on natural grain, applied to anti-fake field is verified by internet, especially
Its application field anti-fake by mobile phone app.
Background technique
Internet method for anti-counterfeit and system based on natural grain, the basic condition first of realization are certain specific in the world
The natural grain of the stock friend of object.It is well known that the identical leaf of two panels is not present in the world, all leaves have oneself
Specific lines, the either size or the depth of lines.Same reason, in addition to leaf, there are also many things, each
Lines be all it is unique, it is not identical to replicate yet, such as: fingerprint, wood grain etc..
Product it is anti-fake, have in life and be quite widely applied, including use exclusive and complicated production technology, or
The technical method that the production cost is very high, certified products to be marked, such as radium-shine comparison, color shifting ink, the intaglio printing of banknote
Etc., although these anti-fake methods are effectively, process is very complicated, because the range of application is not extensive.
At the same time, also occur some novel being verified anti-fake side by way of internet on the market at present
Method, such as:
Two-dimension code anti-counterfeit: two dimensional code is stamped on paper, and is covered on surface with special material, user needs to verify the true of product
When pseudo-, the figure layer on surface is scraped off, is then scanned the two-dimensional code with mobile phone app, scan to two dimensional code can be to going above server
Verifying, to obtain result.If the two dimensional code that Current Scan arrives is authenticated by other people, that is, represent current product as
It forges.
Electronic chip is anti-fake: with one piece of electronic chip, the inside write-in program, then there are also display screen, above display screen
Number can convert at the moment, after scanning chip by mobile phone, can be carried out the algorithm of the transformation of number and server by server
It compares, to judge the true and false of product.
The two kinds of above internet method for anti-counterfeit, each have their own advantage, also each have their own disadvantage.The advantages of method one,
In at low cost, the disadvantage is that, can only verify after sale, if user verifies before purchase, it will cause it is subsequent can not be again
Continue to sell.The advantages of method two, is the repeated multiple times verifying true and false, but there is also a problems, that is, it is at high cost, only
Can just there are the value used, the lesser place of unit price, without use value in very high-end field.
Summary of the invention
Internet method for anti-counterfeit and system based on natural grain, for providing low cost, high efficiency, highly reliable anti-fake
Solution.
Realization of the invention needs to include following part:
Need products or the key components and parts above product, product or product anti-fake and with irreproducible textural characteristics
Key components and parts need unique texture, these textures, including it is natural or it is made be ok, natural texture
Including wood grain, woven pattern, cell line, fiber line, dyeing water wave, artificial texture includes irregular scratch, corrosion line；Simultaneously
Product passes over specific label, has specific label, and label and texture information have been entered into the data of server
Library.
Mobile phone app is developed based on different operating system platforms, the specific different form of expression, for realizing: for user
Friendly operation interface, the photo for the specific position for shooting product are provided, photo is analyzed and handled, will analysis and processing
File afterwards be sent to server, receive returning the result from server, the results are shown in face of user.
Server is arranged in specific computer room, for realizing: receive data from mobile phone app, by received data and
Stored good data are compared, the result after comparison is returned to app, record time currently compared etc. in server
Log information.
The process of realization is needed by following steps:
1. label, on the product or key components and parts with clear lines, the label of range is carried out with machine, while in range
Outside, be numbered with number or the mode of two dimensional code.
2. typing is taken pictures the range of label with camera, together with the database of number deposit server.
3. uploading feature: user uses specific mobile phone app, and the range marked and number are taken pictures, mobile phone app
The number of number or two dimensional code can be gone out automatically by picture recognition, while the photo after lines can be taken pictures centainly is located
Reason, is then sent to server.
4. verifying: server is according to number or the number of two dimensional code, and stored good number is corresponding before finding
Picture, and the picture and mobile phone app are caught to the comparison that the picture come carries out feature, if characteristic similarity is more than specified
Ratio is judged as certified products, and return result to mobile phone app, if the ratio that characteristic similarity region is specified, that is, be judged as
Personation, and cell phone application is returned result to, while reminding app to take pictures again and verifying again.
In above-mentioned component part, have textured product or key components and parts, including natural lines attribute, and line
Road is irreproducible, also the industrialization product including having the stone of irregular scratch, steel, plastics.
In above-mentioned component part, texture is the display effect of not reproducible or a kind of very high material surface of cost of reproduction
Fruit.
In step 2, the image after taking pictures can pass through special processing, so that the picture for reducing storage is occupied
Space size includes but is not limited to the picture compression method including colour, reduction greyscale level.
In step 4, before comparison, picture can also be carried out a certain range of correction and processing by server.
By using the present invention, following effect at least may be implemented:
1. it is highly reliable, because of the generation of the textures such as biological veins or scratch, can not 100% completely duplication, it is possible to will be big absolutely
Most products are handled, and allow product before selling, and the people of purchase is facilitated to carry out true and false differentiation.
2. low cost allows product to have the attribute of simple true and false differentiation, does not need too many manufacturing cost, it is only necessary to
The pattern formulated in printing on product, is highly suitable for the large-scale use of cheap product.
Detailed description of the invention
Fig. 1 is composition schematic diagram of the invention.
Fig. 2 is realization procedure chart of the invention.
Fig. 3 is the product situation figure that an example of the invention marks.
Fig. 4 is the product situation figure that other an example of the invention marks.
Specific embodiment
Internet method for anti-counterfeit and system based on natural grain are realized and need three component parts, as shown in Figure 1, main
Include:
Mobile phone app101: being developed based on different operating system platforms, the specific different form of expression, for realizing: for user
Friendly operation interface, the photo for the specific position for shooting product are provided, photo is analyzed and handled, will analysis and processing
File afterwards be sent to server, receive returning the result from server, the results are shown in face of user.Current mobile phone
App includes mainly 2 large platforms, ios and Android, so mobile phone app is based primarily upon the above platform development.Mobile phone app according to
Different product managers and designer has the different forms of expression, provides different still friendly operation interfaces.
It between mobile phone app101 and server, is communicated by network, data exchange can be carried out.
Server 102: being arranged in specific computer room, for realizing: receive data from mobile phone app, by received number
According to be compared with stored good data, the result after comparison is returned to app, server record currently compare when
Between equal log informations.Server itself has accessed internet, and the operation and access as server itself belong to ready-made
Technology, the present invention will not be described in great detail.
The data of server internal storage need to be obtained using the mode including printing, camera shooting, the production of these data
It is raw, belong to the technology of ready-made batch production, the present invention repeats no more.
Needing anti-fake product 103, the key components and parts of product or product need unique texture, these textures,
Including it is natural or it is made be ok, natural texture includes wood grain etc., and artificial texture includes irregular scratch
Etc.；Product passes over specific industrial treatment simultaneously, has specific label, has been entered into the texture of server.
Have textured product or key components and parts, including natural lines attribute, and lines is irreproducible, also wraps
Include the industrialization product including stone with irregular scratch, steel, plastics.Texture is that reproducible or cost of reproduction be not very
A kind of display effect of high material surface.
Fig. 2 is implementation flow chart of the invention, and realization of the invention is needed by following steps:
Step 201: label.On the product or key components and parts with clear lines, the label of range is carried out with machine, simultaneously
In the outside of range, it is numbered with the mode of number or two dimensional code.
Step 202: typing.The range of label is taken pictures with camera, together with the data of number deposit server
Library.
Step 203 uploads feature.User uses specific mobile phone app, and the range marked and number are taken pictures, hand
Machine app can go out the number of number or two dimensional code automatically by picture recognition, while the photo after lines can be taken pictures carries out one
Fixed processing, is then sent to server.
Step 204: verifying.Server is according to number or the number of two dimensional code, stored good volume before finding
Number corresponding picture, and the picture and mobile phone app are caught to the comparison that the picture come carries out feature, if characteristic similarity is more than
Specified ratio is judged as certified products, and return result to mobile phone app, if the ratio that characteristic similarity region is specified, i.e.,
It is judged as personation, and returns result to cell phone application, while reminds app to take pictures again and verifying again.
Fig. 3 is the product situation figure that an example of the invention marks.In Fig. 3, background is one piece of wooden planar portions
Part 301, from wood furniture or other products, box 302 is the label done before dispatching from the factory, and the number 303 outside box is
The number given before factory, when user takes pictures to the picture using mobile phone app, mobile phone app being capable of side in automatic identification figure
The number 303 of outer frame, while identifying box 302, then calibrated the image of 302 the inside of box and being sent to service
Device.
Fig. 4 is that other an example of the invention carries out the product situation figure compared.In Fig. 4, background is one piece by sharp object
Body scrapes the stainless steel 401 of scratch, and stainless steel material can be applied to very more product and component, before box 402 is factory
The label done, the two dimensional code 403 outside box are that the number of printing up can be by two by two dimensional code analysis program before factory
Tieing up code parsing becomes binary data, and finally parsing becomes number, when user takes pictures to the picture using mobile phone app
When, mobile phone app can the automatic identification two dimensional code outside box on the way, and two dimensional code is parsed, to be numbered, simultaneously
According to the box 402 marked, the texture in box is intercepted, after then calibrating texture, is sent to server.
Claims (5)
1. internet method for anti-counterfeit and system based on natural grain, specifically include that
Need products or the key components and parts above product, product or product anti-fake and with irreproducible textural characteristics
Key components and parts need unique texture, these textures, including it is natural or it is made be ok, natural texture
Including wood grain, woven pattern, cell line, fiber line, dyeing water wave, artificial texture includes irregular scratch, corrosion line；Simultaneously
Product passes over specific label, has specific label, and label and texture information have been entered into the data of server
Library；
Mobile phone app is developed based on different operating system platforms, the specific different form of expression, for realizing: it is provided for user
Friendly operation interface, shoot product specific position photo, photo analyzed and handled, will analysis and treated
File be sent to server, receive returning the result from server, the results are shown in face of user；
Server is arranged in specific computer room, for realizing: receive data from mobile phone app, by received data and
The data stored are compared, the result after comparison are returned to the logs such as app, the time currently compared in server record
Information；
Composition described above part needs to realize by following steps:
1) it marks, on the product or key components and parts with clear lines, the label of range is carried out with machine, while in range
Outside, be numbered with number or the mode of two dimensional code；
2) typing is taken pictures the range of label with camera, together with the database of number deposit server；
3) upload feature: user uses specific mobile phone app, and the range marked and number are taken pictures, and mobile phone app can be certainly
The dynamic number for going out number or two dimensional code by picture recognition, while the photo after lines can be taken pictures centainly is handled, so
After be sent to server；
4) verify: server is according to number or the number of two dimensional code, the stored good corresponding figure of the number before finding
Piece, and the picture and mobile phone app are caught to the comparison that the picture come carries out feature, if characteristic similarity is more than specified ratio
Example, that is, be judged as certified products, and return result to mobile phone app, if the ratio that characteristic similarity region is specified, that is, is judged as false
It emits, and returns result to cell phone application, while reminding app to take pictures again and verifying again.
2. the internet method for anti-counterfeit and system according to claim 1 based on natural grain, it is characterized in that: having lines
Product or key components and parts, including natural lines attribute, and lines is irreproducible, also include have irregular scratch
Stone, steel, the industrialization product including plastics.
3. the internet method for anti-counterfeit and system according to claim 1 based on natural grain, it is characterized in that: texture is not
Reproducible or a kind of very high display effect of material surface of cost of reproduction.
4. the internet method for anti-counterfeit and system according to claim 1 based on natural grain, it is characterized in that: in step 2
In, the image after taking pictures, can pass through special processing, the occupied space size of picture to reduce storage, including but
It is not limited to picture compression method colored, including reduction greyscale level.
5. the internet method for anti-counterfeit and system according to claim 1 based on natural grain, it is characterized in that: in step 4
In, before comparison, picture can also be carried out a certain range of correction and processing by server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910115167.5A CN109858306A (en) | 2019-02-14 | 2019-02-14 | Internet method for anti-counterfeit and system based on natural grain |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910115167.5A CN109858306A (en) | 2019-02-14 | 2019-02-14 | Internet method for anti-counterfeit and system based on natural grain |
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| CN109858306A true CN109858306A (en) | 2019-06-07 |
Family
ID=66897886
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| CN201910115167.5A Pending CN109858306A (en) | 2019-02-14 | 2019-02-14 | Internet method for anti-counterfeit and system based on natural grain |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110245962A (en) * | 2019-06-14 | 2019-09-17 | 广州市中煌科技有限公司 | A kind of method for anti-counterfeit of product |
| CN111325719A (en) * | 2020-02-02 | 2020-06-23 | 南京工业大学 | Workpiece anti-counterfeiting method based on part surface image matching |
| CN112132593A (en) * | 2020-09-10 | 2020-12-25 | 华东师范大学 | Article anti-counterfeiting method and system based on mobile phone image comparison |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105224976A (en) * | 2015-08-31 | 2016-01-06 | 杨骏 | A kind of making of anti-counterfeiting mark and recognition methods, Apparatus and system |
| CN105740926A (en) * | 2016-01-28 | 2016-07-06 | 廖江龙 | Anti-counterfeiting method and anti-counterfeiting system |
| US20180178579A1 (en) * | 2015-05-01 | 2018-06-28 | Hainan Yayuan Anti-Counterfeit Tech Res Inst (General Partnership) | Ink Edge Anti-counterfeiting Method and Ink Edge Anti-counterfeiting Network Verification System |
| CN108694370A (en) * | 2017-03-29 | 2018-10-23 | 海南亚元防伪技术研究所（普通合伙） | The true and false method for anti-counterfeit of non-dedicated APP automatic identifications texture |
-
2019
- 2019-02-14 CN CN201910115167.5A patent/CN109858306A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180178579A1 (en) * | 2015-05-01 | 2018-06-28 | Hainan Yayuan Anti-Counterfeit Tech Res Inst (General Partnership) | Ink Edge Anti-counterfeiting Method and Ink Edge Anti-counterfeiting Network Verification System |
| CN105224976A (en) * | 2015-08-31 | 2016-01-06 | 杨骏 | A kind of making of anti-counterfeiting mark and recognition methods, Apparatus and system |
| CN105740926A (en) * | 2016-01-28 | 2016-07-06 | 廖江龙 | Anti-counterfeiting method and anti-counterfeiting system |
| CN108694370A (en) * | 2017-03-29 | 2018-10-23 | 海南亚元防伪技术研究所（普通合伙） | The true and false method for anti-counterfeit of non-dedicated APP automatic identifications texture |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110245962A (en) * | 2019-06-14 | 2019-09-17 | 广州市中煌科技有限公司 | A kind of method for anti-counterfeit of product |
| CN111325719A (en) * | 2020-02-02 | 2020-06-23 | 南京工业大学 | Workpiece anti-counterfeiting method based on part surface image matching |
| CN112132593A (en) * | 2020-09-10 | 2020-12-25 | 华东师范大学 | Article anti-counterfeiting method and system based on mobile phone image comparison |
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Application publication date: 20190607 |