CN104794519A - Cloud identification system and cloud identification method - Google Patents
Cloud identification system and cloud identification method Download PDFInfo
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- CN104794519A CN104794519A CN201510230728.8A CN201510230728A CN104794519A CN 104794519 A CN104794519 A CN 104794519A CN 201510230728 A CN201510230728 A CN 201510230728A CN 104794519 A CN104794519 A CN 104794519A
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Abstract
The invention discloses a cloud identification system and a cloud identification method. The cloud identification method comprises the following steps: applying for a bar code for commodity by a merchant; carrying out feature extraction and compression on factory textures, binding with a bar code corresponding to the commodity and uploading to a server of a cloud data identification system; labeling the commodity; scanning the bar code on the label by a client side, carrying out feature extraction on the textures on the label and uploading to the cloud data identification system; and acquiring the entered factory texture features according to the bar code by the cloud data identification system, identifying the texture features uploaded by the client side, and returning the identification result and the related commodity information bound by the bar code to a mobile phone client. According to the cloud identification system and the cloud identification method, the factory texture uploading speed is high, a locating frame can be set freely, the textures can be set randomly, the applying time of the bar code can be inquired in the system, networking geographical coordinate verification can be realized, textural features cannot be copied and imitated easily and accurate and effectively identification can be realized.
Description
Technical field
The invention belongs to field of anti-counterfeit technology, particularly relate to a kind of cloud identification system and cloud discrimination method.
Background technology
Existing grain anti-fake method mainly contains:
Texture anti-fake, its principle is: in paper pulp or film, sprinkle fiber at random, produce Stability Analysis of Structures, visual signature identifies clearly, and each mark is randomly formed, and uniquely and not reproducible, is printed as antifalsification label; Publish a plain code sequence number to each piece of antifalsification label, produce corresponding Quick Response Code according to sequence number; Scan the Quick Response Code on each piece of antifalsification label, and take the digital photograph of original factory product; By each photo storage in the Antiforge inquiry system database on internet, consult for masses.Consumer and supvr all can utilize to pat and see that searching platform transfers sticker photo, by checking some filametntary positions and whether direction conforms to, carrying out comparison inquiry, telling truth from falsehood.
Advantage: principle is classical, and theoretical foundation is strong, differentiate that accuracy rate is high, imitation difficulty is large.
Shortcoming: (1) picture on-line normalization data volume is comparatively large, at least requires 3g network, and expends flow, or can only inquire about on computers; (2) human eye comparison is an arduous thing comparatively speaking, just exist by counterfeit danger if texture is too simple, if texture is too intensive and complicated, suitable patience of will asking for help, even some specific texture, resolution characteristic is the scope exceeding human eye.
Networking anti-false fiber mark, principle is: networking anti-false fiber tag system, at carrier, query specification, the knowledge of tiny sign, posting, fiber mark, easy-torn line, primary key, inquiry code, start line, terminated line are set, described primary key: be made up of Antiforge system code, plant code, sequence number, described primary key, inquiry code and fiber identification image are stored into Antiforge system; Described fiber is designated the circle or flat or the long fibre of circle and flat and the fleece of random staple fibre composition or single that width is 0.1mm-1.0mm; Described fiber is one or more combinations in colored fiber, heat discoloration fiber, ultraviolet photosensitive color-changing fiber, Ultraluminescence chameleon fibre, infrared excitation chameleon fibre, magnetic fibre.
Advantage: while inheriting texture anti-fake advantage, utilizes smart machine and software engineering, enormously simplify flow process.
Shortcoming: do not liberate production technology completely, is confined to label and adopts specific production technology.
Summary of the invention
The object of the present invention is to provide a kind of cloud identification system and cloud discrimination method, be intended to solve existing texture anti-fake technology picture on-line normalization data volume is comparatively large, resolution characteristic exceeds human eye scope, be confined to label and adopt the problem of specific production technology.
The present invention is achieved in that a kind of cloud identification system comprises texture automated production input system, cloud data identification system, smart mobile phone client;
Described texture automated production input system is for the production of dispatching from the factory texture or utilize the three-D grain of existing indicant as the texture that dispatches from the factory, bar code after the texture that dispatches from the factory being carried out feature extraction and compression and corresponding to commodity is bound, and uploads the server in cloud data identification system after binding together;
Described texture cloud identification system is used for the textural characteristics that dispatches from the factory be stored in cloud data identification system server to carry out mating with the textural characteristics that smart mobile phone client scan obtains to differentiate, and the merchandise news that identification result and bar code are bound is returned smart mobile phone client;
The bar code of described smart mobile phone client in items scanning also carries out texture feature extraction to the texture that dispatches from the factory on commodity, together uploads in cloud data identification system after being compressed into feature string with bar code, carries out discriminating coupling for cloud data identification system.
A kind of concrete steps of cloud discrimination method are:
Step one, businessman's application bar code also specify the commodity bound;
Step 2, produce the texture or utilize the three-D grain of existing indicant as the texture that dispatches from the factory of dispatching from the factory, the bar code after the texture that dispatches from the factory being carried out feature extraction and compression and corresponding to commodity is bound, and uploads the server in cloud data identification system after binding together;
Step 3, by dispatching from the factory, texture and described bar code are made into label and are pasted onto on commodity;
Bar code on step 4, smart mobile phone client scan label, does feature extraction to the texture on label, together uploads in cloud data identification system after being compressed into feature string with bar code;
Step 5, cloud data identification system go out the textural characteristics that dispatches from the factory of typing according to barcode inquiry, enable the textural characteristics of matching algorithm to smart mobile phone client upload to differentiate, the regarding commodity information that identification result and bar code are bound, return to cell-phone customer terminal.
Further, described label is with the paper of bar code and posting or plastic foil hollow out or the three-D grain appearing indicant.
Further, described indicant is natural object or the manufactured products with three-D grain feature.
Further, the described texture that dispatches from the factory can also be obtained by the mode spilling into coloured fibre at the glue-line of adhesive tape, adhesive tape is provided with square posting, the adhesive tape of described square posting inside by the texture display of coloured fibre that spills into out, is provided with bar code below posting.
Further, the method that the described texture that dispatches from the factory can also use chemical reagent to make texture in metal surface obtains.
Further, for the production in enormous quantities of enterprise, texture automated production input system is used for the label of rolling, robotization completes texture binding successively, this texture automated production input system, by the rolling of Serve Motor Control and unwinding device, controls the servo roller of paper bag form, returns the synergitic tenslator of each roller according to paper bag tension coordinating, with the high-speed camera head of responsible texture collection and master control, and host computer computer is formed.
The advantage of cloud identification system of the present invention and cloud discrimination method is:
(1) experience property of flow and speed, client is not taken pictures and is uploaded, but processes and feature extraction image in this locality, is finally compressed into the feature interpretation packet upload server of about 20k, also can realize uploading fast for 3g network;
(2) randomness of posting, high efficiency is software original creation, the algorithm of independent research, can rectangular area in efficient detection figure, and analyzes inner vein, provides validity conclusion.
(3) texture is random, texture does not need specific production technology, specific label equipment batch making can be used, also random marks can be produced with chemical reaction in metal surface, even can each one identity use, draw posting voluntarily, then adopt the label identifying oneself unique to be placed on inside, paste with transparent adhesive tape.Software can assist the validity of Intelligent Measurement texture.
(4) data are comprehensive, and the application time of bar code can inquire about in system, if the date of manufacture of commodity mark and bar code application time difference are too much, can assert that goods has problem.
(5) large data analysis, give full play to the advantage of smart machine, geographic coordinate is carried in networking checking, system background provides large data analysis, in conjunction with gis Geographic Information System, data and spatial analysis, the channel that effectively can excavate fake products circulation and put on market, provides effective guidance to manufacturer and industrial and commercial bureau.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the cloud discrimination method that the embodiment of the present invention provides;
Fig. 2 is the structural representation of the adhesive tape label that the embodiment of the present invention provides;
In figure: 1, adhesive tape; 2, coloured fibre; 3, posting; 4, bar code.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Below in conjunction with drawings and the specific embodiments, application principle of the present invention is further described.
The present invention is achieved in that a kind of cloud identification system comprises texture automated production input system, cloud data identification system, smart mobile phone client;
Described texture automated production input system is for the production of dispatching from the factory texture or utilize the three-D grain of existing indicant as the texture that dispatches from the factory, bar code after the texture that dispatches from the factory being carried out feature extraction and compression and corresponding to commodity is bound, and uploads the server in cloud data identification system after binding together;
Described texture cloud identification system is used for the textural characteristics that dispatches from the factory be stored in cloud data identification system server to carry out mating with the textural characteristics that smart mobile phone client scan obtains to differentiate, and the merchandise news that identification result and bar code are bound is returned smart mobile phone client;
The bar code of described smart mobile phone client in items scanning also carries out texture feature extraction to the texture that dispatches from the factory on commodity, together uploads in cloud data identification system after being compressed into feature string with bar code, carries out discriminating coupling for cloud data identification system.
As shown in Figure 1, a kind of concrete steps of cloud discrimination method are:
S101, businessman's application bar code also specify the commodity bound;
S102, produce the texture or utilize the three-D grain of existing indicant as the texture that dispatches from the factory of dispatching from the factory, the bar code after the texture that dispatches from the factory being carried out feature extraction and compression and corresponding to commodity is bound, and uploads the server in cloud data identification system after binding together;
S103, by dispatching from the factory, texture and described bar code are made into label and are pasted onto on commodity;
Bar code on S104, smart mobile phone client scan label, does feature extraction to the texture on label, together uploads in cloud data identification system after being compressed into feature string with bar code;
S105, cloud data identification system go out the textural characteristics that dispatches from the factory of typing according to barcode inquiry, enable the textural characteristics of matching algorithm to smart mobile phone client upload to differentiate, the regarding commodity information that identification result and bar code are bound, return to cell-phone customer terminal.
Further, described label is with the paper of bar code and posting or plastic foil hollow out or the three-D grain appearing indicant.
Further, described indicant is natural object or the manufactured products with three-D grain feature.
Further, the described texture that dispatches from the factory can also be obtained by the mode spilling into coloured fibre at the glue-line of adhesive tape, as shown in Figure 2, adhesive tape 1 is provided with square posting 3, the adhesive tape of described square posting 3 inside by the texture display of coloured fibre 2 that spills into out, is provided with bar code 4 below posting 3.
Further, the method that the described texture that dispatches from the factory can also use chemical reagent to make texture in metal surface obtains.
Further, for the production in enormous quantities of enterprise, texture automated production input system is used for the label of rolling, robotization completes texture binding successively, this texture automated production input system, by the rolling of Serve Motor Control and unwinding device, controls the servo roller of paper bag form, returns the synergitic tenslator of each roller according to paper bag tension coordinating, with the high-speed camera head of responsible texture collection and master control, and host computer computer is formed.
Further, described cloud identification system adopts threshold process, filter operation, vectored calculations, and carries out principal component analysis (PCA) and complex calculation to coordinate sequence, from definition frame, find rectangular area.
The software section of whole cloud identification system can be divided into:
1, detection and location part
The roughly following global filtering process of detection method, local threshold process, obtain bianry image, bianry image vector quantization, search potential closed polygon, area is carried out to polygon point sequence, the trial inspections such as girth, if by checking and then splitting into four sections according to four solstics, and principal component analysis (PCA) is carried out to each section, check the linearity, when the eigenwert of the second feature vector of four sections of sequences is all enough little, illustrate that this polygon is made up of four sections of enough straight point sequences of arrangement, then rectangle posting detected.Compare traditional Hough transform, the methods such as template matches, whole computation process memory consumption is little, ultrahigh in efficiency, and mobile phone also only needs 10 milliseconds.
2, characteristic extraction part
To adopt method for describing local characteristic, a series of improvement is made on the basis of classical way, in conjunction with angle point grid, numerous methods such as metric space point, from different scale, different frequency, different color passage has carried out a series of feature collection and description to image, is finally compressed into the characteristic character of about 20k, through encryption upload server, relative classical way, extract feature stability higher, data volume is less.
3, characteristic matching part
Adopt complete independent research, in conjunction with the SEQUENTIAL ALGORITHM of feature interpretation and spatial relationship, system maintenance one describes state matrix and the covariance thereof of its affine or photography relation, and make initial covariance be tending towards infinite to receive any initial point, afterwards according to the sequence of match point matching degree, include prediction-update the system successively in, make system while adjustment state matrix, covariance matrix is restrained gradually, and then possesses more and more stronger discriminating power, can well repel wrong match point.Algorithm is an adaptive intelligent learning system, and owing to have employed SEQUENTIAL ALGORITHM, compare ransac etc. based on the matching algorithm with machine frame, efficiency far is won, and owing to not being that the overall situation is soundd out, thus stronger to the resistance ability of mistake.
Embodiment one
When sending out quick despatch, utilize cell-phone customer terminal application barcode number, texture and the bar code of dispatching from the factory makes a label, and with mobile telephone scanning, binding dispatches from the factory texture in numbering, and the texture that will dispatch from the factory is sent to Cloud Server, numbering note or propelling movement are sent to consignee, and consignee obtains the texture that dispatches from the factory, when consignee receives goods by numbering from Cloud Server, use mobile telephone scanning indicant, just can differentiate whether be send from delivery staff by contrast texture.
The described texture that dispatches from the factory obtains by spiced salt method, is specially:
(1) mode that the chip black and white that the preparation black and white degree of depth does not wait does not wait makes it be randomly dispersed on paper;
(2) draw posting with carbon pen, and be pasted onto surface with transparent adhesive tape;
(3) figure in use posting is as the texture that dispatches from the factory
Embodiment two
Chemically make the method for texture in metal surface, then utilize cloud identification system to realize false proof; Copper sulphate reagent is sprayed at iron surface, because concentration is different, defines mottled vestige, the vestige using these mottled as the texture that dispatches from the factory, as the mark that cloud is differentiated.
Embodiment three
In the paper of invoice, embed fiber, utilize the texture of the fiber embedded as the texture that dispatches from the factory, flowing water receipt printing machine is the source that bar code printing just can utilize cloud differentiate to identify bill.
The advantage of cloud identification system of the present invention and cloud discrimination method is:
(1) experience property of flow and speed, client is not taken pictures and is uploaded, but processes and feature extraction image in this locality, is finally compressed into the feature interpretation packet upload server of about 20k, also can realize uploading fast for 3g network;
(2) randomness of posting, high efficiency is software original creation, the algorithm of independent research, can rectangular area in efficient detection figure, and analyzes inner vein, provides validity conclusion.
(3) texture is random, texture does not need specific production technology, specific label equipment batch making can be used, also random marks can be produced with chemical reaction in metal surface, even can each one identity use, draw posting voluntarily, then adopt the label identifying oneself unique to be placed on inside, paste with transparent adhesive tape.Software can assist the validity of Intelligent Measurement texture.
(4) data are comprehensive, and the application time of bar code can inquire about in system, if the date of manufacture of commodity mark and bar code application time difference are too much, can assert that goods has problem.
(5) large data analysis, give full play to the advantage of smart machine, geographic coordinate is carried in networking checking, system background provides large data analysis, in conjunction with gis Geographic Information System, the data statistics based on space and analysis can be completed, when scanning input label is differentiated, scanning record upload server is while completing discriminating, also think that platform provides an information, certain part commodity reaches somewhere through logistics, when these authentication datas are abundant, can be faked by the auxiliary detection of data mining on the one hand, these data are through gathering and analyzing in addition, the information that some are favourable to businessman can be obtained, manufacturer can be allowed to know, and where oneself kinds of goods are sold for, local fast-selling at which, and then adjust next step the production schedule.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (7)
1. a cloud identification system, is characterized in that, described cloud identification system comprises texture automated production input system, cloud data identification system, smart mobile phone client;
Described texture automated production input system is for the production of dispatching from the factory texture or utilize the three-D grain of existing indicant as the texture that dispatches from the factory, bar code after the texture that dispatches from the factory being carried out feature extraction and compression and corresponding to commodity is bound, and uploads the server in cloud data identification system after binding together;
Described texture cloud identification system is used for the textural characteristics that dispatches from the factory be stored in cloud data identification system server to carry out mating with the textural characteristics that smart mobile phone client scan obtains to differentiate, and the merchandise news that identification result and bar code are bound is returned smart mobile phone client;
The bar code of described smart mobile phone client in items scanning also carries out texture feature extraction to the texture that dispatches from the factory on commodity, together uploads in cloud data identification system after being compressed into feature string with bar code, carries out discriminating coupling for cloud data identification system.
2. a cloud discrimination method, is characterized in that, the concrete steps of described cloud discrimination method are:
Step one, businessman's application bar code also specify the commodity bound;
Step 2, produce the texture or utilize the three-D grain of existing indicant as the texture that dispatches from the factory of dispatching from the factory, the bar code after the texture that dispatches from the factory being carried out feature extraction and compression and corresponding to commodity is bound, and uploads the server in cloud data identification system after binding together;
Step 3, by dispatching from the factory, texture and described bar code are made into label and are pasted onto on commodity;
Bar code on step 4, smart mobile phone client scan label, does feature extraction to the texture on label, together uploads in cloud data identification system after being compressed into feature string with bar code;
Step 5, cloud data identification system go out the textural characteristics that dispatches from the factory of typing according to barcode inquiry, enable the textural characteristics of matching algorithm to smart mobile phone client upload to differentiate, the regarding commodity information that identification result and bar code are bound, return to cell-phone customer terminal.
3. cloud discrimination method as claimed in claim 2, is characterized in that, described label is with the paper of bar code and posting or plastic foil hollow out or the three-D grain appearing indicant.
4. cloud discrimination method as claimed in claim 2, it is characterized in that, described indicant is natural object or the manufactured products with three-D grain feature.
5. cloud discrimination method as claimed in claim 2, it is characterized in that, the described texture that dispatches from the factory can also be obtained by the mode spilling into coloured fibre at the glue-line of adhesive tape, adhesive tape is provided with square posting, the adhesive tape of described square posting inside by the texture display of coloured fibre that spills into out, is provided with bar code below posting.
6. cloud discrimination method as claimed in claim 2, is characterized in that, the method that the described texture that dispatches from the factory can also use chemical reagent to make texture in metal surface obtains.
7. cloud discrimination method as claimed in claim 4, it is characterized in that, for the production in enormous quantities of enterprise, texture automated production input system is used for the label of rolling, robotization completes texture binding successively, this texture automated production input system is by the rolling of Serve Motor Control and unwinding device, control the servo roller of paper bag form, the synergitic tenslator of each roller is returned according to paper bag tension coordinating, with the high-speed camera head of responsible texture collection and master control, and host computer computer is formed.
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| CN106204057A (en) * | 2016-06-27 | 2016-12-07 | 惠众商务顾问（北京）有限公司 | Physical message accidental validation block chain method for anti-counterfeit, system and device |
| CN107247986A (en) * | 2017-06-23 | 2017-10-13 | 邓学胜 | Figure code anti-fake card, figure code anti-fake system and figure code anti-counterfeiting method |
| CN107633410A (en) * | 2017-07-16 | 2018-01-26 | 广州矽云信息科技有限公司 | A kind of error correction system and method for dual code anti-faking |
| CN107798544A (en) * | 2017-09-28 | 2018-03-13 | 邓学胜 | Anti-fake card, Antiforge system, the manufacture method of anti-fake processing method and anti-fake card |
| CN108573297A (en) * | 2017-03-14 | 2018-09-25 | 北京德豹科技有限公司 | A kind of cloud data method for anti-counterfeit based on calibration feature |
| CN108960861A (en) * | 2018-07-02 | 2018-12-07 | 任伟峰 | Product fidelity verification method and device, storage medium, processor |
| CN109256031A (en) * | 2018-11-28 | 2019-01-22 | 程昔恩 | A kind of tamper method of the packing container of marketed material |
| WO2019034181A1 (en) * | 2017-08-17 | 2019-02-21 | 上海焕云网络技术有限公司 | Product anti-counterfeiting verification system based on natural biological information |
| CN109981244A (en) * | 2019-03-08 | 2019-07-05 | 西安电子科技大学 | A kind of method of novel distributed cloud Encryption Algorithm |
| CN115171108A (en) * | 2022-06-08 | 2022-10-11 | 青岛通产智能科技股份有限公司 | Method, device and medium for authenticating production date of article |
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| CN105741122A (en) * | 2016-02-24 | 2016-07-06 | 张忠祥 | Anti-counterfeiting polymer film and anti-counterfeiting method |
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| CN109256031A (en) * | 2018-11-28 | 2019-01-22 | 程昔恩 | A kind of tamper method of the packing container of marketed material |
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| CN115171108A (en) * | 2022-06-08 | 2022-10-11 | 青岛通产智能科技股份有限公司 | Method, device and medium for authenticating production date of article |
| CN115171108B (en) * | 2022-06-08 | 2022-11-18 | 青岛通产智能科技股份有限公司 | Method, device and medium for authenticating production date of article |
| CN116958135A (en) * | 2023-09-18 | 2023-10-27 | 支付宝(杭州)信息技术有限公司 | Texture detection processing method and device |
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