CN104333694A - Method for preventing store visiting photo from being counterfeited - Google Patents
Method for preventing store visiting photo from being counterfeited Download PDFInfo
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Abstract
The invention discloses a method for preventing store visiting photo from being counterfeited. The method comprises the following steps: 1, storing the information of each store through a server, wherein the information of the store includes the name of the store, the longitude and latitude and the like of the store; 2, logging in the server with a mobile phone to obtain the information of the corresponding store to be visited before performing visiting; 3, calling photographing module through a mobile phone terminal to photograph during performing visiting; meanwhile, calling a positioning module through the mobile phone terminal to obtain the positioning data of longitude and latitude and the positioning date and time during photographing; acquiring a plurality of groups of defocusing pictures timely during the focusing of the photographing module, wherein each group at least includes two defocusing pictures which are acquired under different defocusing conditions and used for calculating the true photographing distance; 4, performing algorithm analysis for the acquired data through the mobile terminal, and sending the analysis result to the server; 5, processing the received information through the server, so as to determine the truth of visiting.
Description
Technical field
The present invention relates to Mobile Location Technology and ranging technology of taking pictures, be specifically related to a kind of shops that prevents adopting mobile terminal to realize and visit the method and system of taking pictures and faking.
Background technology
Take pictures evidence obtaining, mobile phone terminal data acquisition of current phone is widely used in routine work, also this scene is often run in shops's operation visit of the industry that disappears soon, such as, business personnel visits and to need when patrolling shop to carry out that storefront is taken pictures, store arrangement is taken pictures, and in KA sales field, sales promotion is taken pictures and checked.For Kuai Xiao enterprise manager evidence obtaining of taking pictures mainly prevent some imitation behaviors of business personnel and terminal shops, some behaviors of specification business personnel and shops.But, even if general shooting mobile phone and camera applications are taken pictures that can not evade business personnel completely with imitation behavior that is terminal shops.Such as, business personnel person can by prestoring some photos of processing facing to photograph, paid storefront placard publicity, store arrangement operation is not carried out like this even without visiting terminal shops or shops, also can to this existing photograph processed; Also business personnel is had to be faked by the data gathering an other shops in addition, such as, the data of data as this family of taking pictures of an other shops are got in visit, thus gain some marketing promotions expenses of enterprise by cheating, for enterprise, cause the loss of some funds, do not reach marketing promotions effect simultaneously.
In addition, for current mobile phone distance-finding method, what most cell phone manufacturer often adopted is infrared distance measurement and sound wave distance-finding method etc., but the application of the implementation method of these methods all needs on the optimized integration by means of special hardware equipment, realizes complexity, cost is high.
Summary of the invention
Therefore, for above-mentioned problem, the present invention proposes a kind of shops that prevents and visits the method and system of taking pictures and faking, utilize current phone location technology and ranging technology of taking pictures, by gathering the detection of the position of user and the distance of actual photograph subject, thus whether the visit behavior of anticipation user is legal, and then provide foundation for enterprise gathers real terminal view data of taking pictures.
In order to solve the problems of the technologies described above, the present invention makes full use of the principle of optical imagery and can regulate the mechanism of camera of image distance distance, propose one to take pictures implementation method, picture is defocused by the process that the focuses timing acquiring two before taking pictures, and by carrying out comparing calculation to two pictures in real time, thus calculate the reference distance of taking pictures, again in conjunction with the location technology of longitude and latitude position, calculate the distance in visit picture-taking position and shop, thus fraud of taking pictures can be prevented preferably, obtain forensic data of taking pictures really, thus reach the object preventing shops from visiting fraud.
Concrete, the method for taking pictures and faking is visited by a kind of shops that prevents of the present invention, comprises the following steps:
Step 1: server stores each shops information, shops's information comprises the title of shops and the latitude and longitude information etc. of shops;
Step 2: before performing visit operation, mobile phone terminal logon server, obtains corresponding shops information to be visited, i.e. the title of this shops and the latitude and longitude information of shops;
Step 3: when performing visit operation, mobile phone terminal calls photo module and takes pictures; Meanwhile, longitude and latitude locator data and location date-time thereof when mobile phone terminal is taken pictures by calling the acquisition of its locating module; Wherein, photo module open camera take pictures focusing time, by controlling the image distance adjuster of camera, timing Quick Acquisition many picture groups sheet, be designated as out-of-focus image group, often organize out-of-focus image and at least comprise two width and defocus picture, this two width defocuses picture and gathers under difference defocuses situation, also namely this two width defocuses picture is gather, for calculating distance when truly taking pictures after the image distance regulating camera;
Step 4: mobile phone terminal carries out Algorithm Analysis to its data collected, and analysis result is sent to server; Concrete, Algorithm Analysis comprises following content:
Step 41: position information process: first mobile phone terminal is collected take pictures time longitude and latitude locator data and carry out comparing calculation from the latitude and longitude information of the shops that server obtains, according to the computing formula of 2 latitude and longitude value distances in earth plane, calculate the distance s of picture-taking position and shops position;
Step 42: focus shots information processing: mobile phone terminal takes out photo module one group of collecting and defocuses picture, is designated as picture 1 and picture 2, carries out binarization of gray value process to picture 1 and picture 2, obtain two width bianry image ID1, ID2;
Wherein, make clear zone in picture 1, the ratio of dark space and whole image-region is P0, P1, the ratio of clear zone in picture 2, dark space and whole image-region is W0, W1;
According to gaussian lens law of imagery 1/u+1/v=1/f(wherein, u is object distance, v is image distance, f is camera optical parametric focal length), and geometry law, can in the hope of a=r1/r2=P0/W0, (S1-v)/(S2-v)=a, thus v=(S1-aS2)/(1-a) can be obtained (wherein, r1 refers to that pixel P defocuses radius on bianry image ID1, r2 refers to that pixel P defocuses radius on bianry image ID2, a refers to that two width defocus picture and amplify ratio, it can defocus the clear zone value P0/W0 of picture or dark space P1/W1 by two view pictures and obtain, S1 refers to the distance of lens to out-of-focus image ID1, and S2 refers to the distance of lens to out-of-focus image ID2, S1 and S2 must be greater than image distance v.), thus try to achieve the image distance v of optimal imaging, known camera optical parametric focal distance f, according to formula 1/u+1/v=1/f, and then can in the hope of object distance u, i.e. the distance of photo-object;
Step 43: mobile phone terminal is when performing step 3, during mobile phone terminal camera focusing, regularly (general 3 seconds, generally take pictures open camera focusing take pictures all want 3 seconds) obtain out-of-focus image group, according to above algorithm, calculate the object distance u often organizing out-of-focus image, formation apart from list, and is stored in photo module, when photo module press shutter take pictures time, get actual object image the most clearly, this distance s of the distance s(that step 41 is calculated by mobile phone terminal can be calculated line distance according to the positional information of shops and the longitude and latitude positional information of taking pictures, also namely step 41 calculates the distance s of picture-taking position and the shops position obtained), from the object distance list of process of taking pictures of focusing, access time (is also the object distance u of one group of out-of-focus image of up-to-date shooting recently, such as 12:30:01 have taken first group, 12:30:04 have taken second group, then choose the object distance u of the out-of-focus image of 12:30:04 shooting) once focus the object distance u taken pictures, longitude and latitude locator data when what mobile phone terminal collected takes pictures, and actual object image uploading is to server,
Step 5: server receives the information that mobile phone terminal sends, according to the distance s of picture-taking position and shops position, take pictures time formed picture object distance u, take pictures time the actual object image that obtains and the standard empirical value (presetting) preset, the information received is processed, thus determines whether that visit is faked; Its processing procedure is as follows:
Step 51: server compares analysis according to pre-set reference material apart from minimum value, if object distance u(and actual object distance) be less than reference material apart from minimum value, then thinking that vacation is taken pictures, is namely likely facing to photograph, then server is judged as that visit is faked, and terminates whole flow process; If object distance u is more than or equal to reference material apart from minimum value, then continue next step;
Step 52: distance s and the error access criteria value preset are compared, if be greater than this error access criteria value, then think that vision location is abnormal, namely likely Bu Shi shops take pictures on the spot gather data, likely that the data of other shops are pretended to be, then server is judged as that visit is faked, and terminates whole flow process; If be less than or equal to this error access criteria value, then server is judged as normal visit, terminates whole flow process.Wherein, error access criteria value is what preset, is generally empirical value, such as actual in shops visit take pictures general distance all within 10 meters, if played tricks by the visit that other families put data of taking pictures, Liang Jia shops positional distance is all more than 100 meters.
In above step, when taking pictures for the collection of object distance of taking pictures and visit, the accuracy of the collection of people and shop distance is very important, in practical programs processing procedure, because IMAQ calculates image scene irregular in distance process, the object distance of calculating is easily caused to have error, in order to solve this problem, one preferably scheme be: in the photographic intelligence process of described step 42, also comprise following process: two width that mobile phone terminal taking-up photo module collects defocus picture, be designated as picture 1 and picture 2, first, mobile phone terminal does piecemeal process to picture 1 and picture 2, be cut into multiple pieces of pictures, set { the u of object distance u is calculated according to each piece of picture
1, u
2..., u
n, and then to this set { u
1, u
2..., u
nobject distance average, obtain the actual object distance u ' calculated, like this can the accuracy of increment distance.
In addition, in order to improve the accuracy of position information process, in the position latitude and longitude information process of described step 41, longitude and latitude data processing can adopt the multiple longitude and latitude point of buffer memory, when current take pictures do not collect effective locator data time, get the last effective position location, can ensure like this to get more accurate position.Wherein, the multiple longitude and latitude point of buffer memory, namely longitude and latitude point is not that to take pictures be the real-time latitude and longitude value collected in visit, it can be the position latitude and longitude value of taking pictures in first 10 minutes, as long as it is just passable that this value is effective locator data, thus when ensureing owing to taking pictures position be blocked or network do not have signal fixed less than place value time, positional value nearest in 10 minutes before can adopting.
In addition, mobile phone terminal also gathers the type of taking pictures of photo module, type of taking pictures to refer in shops's visit process corresponding the taking pictures of different visit step, and such as storefront is arranged and taken pictures, displays that inspection is taken pictures, competing product are taken pictures, sales promotion person takes pictures, type etc. is taken pictures in asset management.Like this, at step 43, mobile phone terminal except by collect take pictures time longitude and latitude locator data, actual object image, image type of also simultaneously taking pictures uploads onto the server; In step 51, server takes pictures reference material corresponding to type apart from minimum value (such as according to pre-set difference, shops's storefront is taken pictures because storefront is comparatively large, and object distance of generally taking pictures all wants more than 3 meters, and general all within half meter facing to photograph) compare analysis.
The invention provides a kind of image distance that adjusts and clap the technology of getting and defocusing picture and combining with collection longitude and latitude locator data, by position and the object distance of taking pictures of taking pictures when collecting evidence of this technical limit spacing terminal traffic personnel operation, this Technology application is gone out to visit operation at disappear soon industry sale management system and relevant needs of reality and in the business management system of evidence obtaining, can be played and ensure that the data collected are effectively legal evidences.Compare other tradition and adopt square law device that is infrared, ultrasonic technology range finding, cost is cheaper.
Accompanying drawing explanation
Fig. 1 is the system logic structure figure of a specific embodiment of the present invention;
Fig. 2 is one group of two width in photographic intelligence process of the present invention schematic diagram when defocusing picture imaging;
Fig. 3 is the realization flow figure of specific embodiments of the invention.
Embodiment
Now the present invention is further described with embodiment by reference to the accompanying drawings.
The present invention makes full use of the principle of optical imagery and can regulate the mechanism of camera of image distance distance, invention one is taken pictures implementation method, picture is defocused by timing acquiring two before taking pictures, calculate the reference distance of taking pictures by real time contrast two pictures comparing calculation, again in conjunction with the location technology of longitude and latitude position, calculate the distance in visit picture-taking position and shop, by a kind of realization of system, thus fraud of taking pictures can be prevented preferably, thus reach the object preventing shops from visiting fraud.
Concrete, the method for taking pictures and faking is visited by a kind of shops that prevents of the present invention, see Fig. 1, mainly applies to following 4 parts: the APP of mobile phone locating module, photo module, mobile phone terminal visits program, server.
Wherein, mobile phone locating module, can be GPS location and/or architecture and/or WIFI location, require that positioning precision is higher, and its locating information provided can be visited arriving of routine access by APP.This mobile phone locating module is mainly used in gathering effective longitude and latitude position.This mobile phone locating module can be the mobile phone locating template in current function machine, android system mobile phone, iOS system mobile phone.
To take pictures template, take pictures for scene; As a good execution mode, this photo module preferably resolution more than 1,000,000 pixels, possesses snapshots function, and possess optical zoom function, quick adjustment image distance can carry out image focusing, and adjust image distance function can be visited routine call by APP to control, require the parameter knowing photo module in advance, comprise the parameters such as the focal length of camera, image distance.Photo module, for obtaining pictorial information, provides the image data analyzed.
APP visits program, operate in the operating system of mobile phone terminal, can be operate in the APP in various function machine system or intelligent machine system, mainly play the mobile phone locating module information that controls, photo module acquisition location latitude and longitude information, image information of taking pictures, analyzing and processing is carried out to the process picture data of taking pictures, type is taken pictures in record visit, the operation of visit record preserved in record, and the data upload gathered to center Cloud Server.
To visit shops visit gained, server, as center call data cloud storage server, takes pictures that data store, analyzing and processing show result.
See Fig. 1, business personnel utilizes the APP operating in the operating system of mobile phone terminal to visit program, collection position longitude and latitude data, data of taking pictures, other call data and out-of-focus image process of taking pictures, and be sent to server, server stores call data and processes.Represent end, can also upper-layer service management carried out, such as web form visit is being analyzed, visit other management such as process query, shops.
Concrete, the method for taking pictures and faking is visited by a kind of shops that prevents of the present invention, and see Fig. 2, it comprises following handling process:
(1) APP visits program obtains visit shops's information from server, and shops's information comprises the title, latitude and longitude information etc. of shops;
(2) APP program of visiting starts visit operation, according to the difference visit operational motion selected, calls photo module and takes pictures; Longitude and latitude locator data and location date-time thereof when taking pictures by calling the acquisition of its locating module; APP visits programmed acquisition and to take pictures longitude and latitude positional information, the date-time at place and type of taking pictures;
(3) to take pictures IMAQ, photo module take pictures focusing time, timing Quick Acquisition many groups defocuses picture; Often group defocuses picture and at least comprises two and defocus picture, meanwhile, requires that two defocus picture in adjustment camera image distance, gather under difference defocuses situation, thus the object distance that can the distance calculated of the last time is used as when truly taking pictures;
(4) APP program of visiting carries out Algorithm Analysis to the data collected, and first contrasts according to the latitude and longitude information of latitude and longitude information and shops, calculates the distance of picture-taking position and shops position;
(5) APP visit program take out photo module collect wherein one group defocus picture, picture is defocused to two width of this group and carries out binarization of gray value process, two width bianry image ID1, ID2 can be obtained, be designated as image one and image two;
(6) ratio of clear zone in image one, dark space and whole image-region is P0, P1, and the ratio of clear zone in image two, dark space and whole image-region is W0, W1;
(7) as shown in Figure 3, P refers to concrete object pixel point, and D refers to two focus length imaging object point, Q refers to concrete optimal imaging point, A refers to focal plane;
(8) according to gaussian lens law of imagery 1/u+1/v=1/f, and geometry law, can in the hope of a=P0/W0=r1/r2, (S1-v)/(S2-v)=a, release v=(S1-aS2)/(1-a), thus the image distance v asked, known camera optical parametric focal distance f, thus can in the hope of object distance u, i.e. the distance of photo-object; In above formula, u is object distance, and v is image distance, and f is camera optical parametric focal length; R1 refers to that pixel P defocuses radius on bianry image ID1, and r2 refers to that pixel P defocuses radius on bianry image ID2, and a refers to that two width defocus the amplification ratio of picture; S1 refers to the distance of lens to out-of-focus image ID1, and S2 refers to the distance of lens to out-of-focus image ID2, S1 and S2 must be greater than image distance v;
(9) step (5)-step (8) is repeated, in calculating photo module, often group defocuses the object distance u of picture, from the distance of the wherein photo-object of the last time access time, and when pressing shutter rapid adjustment image distance to v(optimal imaging image distance) distance, thus quick obtaining is to actual object image the most clearly, and take pictures longitude and latitude position, the distance (the latitude and longitude value calculated line distance according to shops and people) of people and shops, actual object image, image photographic type of object distance of taking pictures, visit is reported server;
(10) the server stores above basic data of at every turn visiting, starts to carry out data analysis to desired data process, specifically can adopt statement analysis mode;
(11) server report processing procedure 1, takes pictures reference material corresponding to type apart from minimum value according to pre-set difference, compares analysis, if actual object distance is less than minimum sandards value, then think that vacation is taken pictures, and is namely likely facing to photograph;
(12) server report processing procedure 2, according to the error access criteria value of the distance of people and shops when visiting, if be greater than this standard value, think that vision location is abnormal, namely likely Bu Shi shops takes pictures the data gathered on the spot, is likely that the data of other shops are pretended to be;
(13) finally form statistical forms on backstage, when analytical statement field information comprises business personnel's title, shops's title, visit time, visit people and the distance of shops, image of taking pictures, type of taking pictures, object distance of taking pictures, visit describe, whether abnormal;
(14) whether there is abnormal data to draw according to business personnel's consolidated statement, whether visit fraud, then faked by the confirmation of concrete visit detailed data, thus can check the visit process of the industry that disappears soon and play better effect.
In above step, when taking pictures for the collection of object distance of taking pictures and visit, the accuracy of the collection of people and shop distance is very important, in practical programs processing procedure, because IMAQ calculates image scene irregular in distance process, some process can be done to the gatherer process of object distance of taking pictures, defocus picture for two that collect and do piecemeal cutting, the object distance that the picture calculating every block calculates, and then each object distance collected is averaged, like this can the accuracy of increment distance.Longitude and latitude data processing can adopt the multiple point of buffer memory, when current take pictures do not collect effective locator data time, get the last effective position location, can ensure like this to get more accurate position.
Although this mode of collection object distance and the method for longitude and latitude, well can not ensure to get object distance when point-device visit is taken pictures and personnel and shops's distance, but said method as identify whether visit take pictures peek fake enough, said method is simple and easy to use simultaneously, has good practicality.
The invention provides a kind of image distance that adjusts and clap the technology of getting and defocusing picture and combining with collection longitude and latitude locator data, by position and the object distance of taking pictures of taking pictures when collecting evidence of this technical limit spacing terminal traffic personnel operation, this Technology application is gone out to visit operation at disappear soon industry sale management system and relevant needs of reality and in the business management system of evidence obtaining, can be played and ensure that the data collected are effectively legal evidences.Compare other tradition and adopt square law device that is infrared, ultrasonic technology range finding, cost is cheaper.
Disappear in the sale management system of industry soon in reality, realization is needed to go out to visit so function scene, business personnel uses visit functional module in the APP visit program on professional mobile phone to carry out operation, job step comprises storefront and takes pictures, display checks, sales promotion person manages, the inspection of heap head, equipment is thrown in and is checked, visit places an order, the steps such as competing product collection, these steps all need evidence obtaining of taking pictures, by applying this technology in the mobile phone business application system of operation of going out business personnel, the object distance of taking pictures can be got, with the longitude and latitude position of personnel when taking pictures, thus well ensure that these image data validity and authenticities.
Although specifically show in conjunction with preferred embodiment and describe the present invention; but those skilled in the art should be understood that; not departing from the spirit and scope of the present invention that appended claims limits; can make a variety of changes the present invention in the form and details, be protection scope of the present invention.
Claims (4)
1. prevent shops from visiting the method for taking pictures and faking, comprise the following steps:
Step 1: server stores each shops information, shops's information comprises the title of shops and the latitude and longitude information etc. of shops;
Step 2: before performing visit operation, mobile phone terminal logon server, obtains corresponding shops information to be visited, i.e. the title of this shops and the latitude and longitude information of shops;
Step 3: when performing visit operation, mobile phone terminal calls photo module and takes pictures; Meanwhile, longitude and latitude locator data and location date-time thereof when mobile phone terminal is taken pictures by calling the acquisition of its locating module; Wherein, photo module open camera take pictures focusing time, by controlling the image distance adjuster of camera, timing Quick Acquisition many picture groups sheet, be designated as out-of-focus image group, often organize out-of-focus image and at least comprise two width and defocus picture, this two width defocuses picture and gathers under difference defocuses situation;
Step 4: mobile phone terminal carries out Algorithm Analysis to its data collected, and analysis result is sent to server; Concrete, Algorithm Analysis comprises following content:
Step 41: position information process: first mobile phone terminal is collected take pictures time longitude and latitude locator data and carry out comparing calculation from the latitude and longitude information of the shops that server obtains, according to the computing formula of 2 latitude and longitude value distances in earth plane, calculate the distance s of picture-taking position and shops position;
Step 42: focus shots information processing: mobile phone terminal takes out photo module one group of collecting and defocuses picture, is designated as picture 1 and picture 2, carries out binarization of gray value process to picture 1 and picture 2, obtain two width bianry image ID1, ID2; Wherein, make clear zone in picture 1, the ratio of dark space and whole image-region is P0, P1, the ratio of clear zone in picture 2, dark space and whole image-region is W0, W1;
According to gaussian lens law of imagery 1/u+1/v=1/f, wherein, u is object distance, v is image distance, f is camera optical parametric focal length, and geometry law, tries to achieve a=r1/r2=P0/W0, (S1-v)/(S2-v)=a, thus v=(S1-aS2)/(1-a) can be obtained; Wherein, r1 refers to that pixel P defocuses radius on bianry image ID1, r2 refers to that pixel P defocuses radius on bianry image ID2, a refers to that two width defocus picture and amplify ratio, S1 refers to the distance of lens to out-of-focus image ID1, S2 refers to the distance of lens to out-of-focus image ID2, S1 and S2 is all greater than image distance v; Try to achieve the image distance v of optimal imaging according to above formula, known camera optical parametric focal distance f, according to formula 1/u+1/v=1/f, and then tries to achieve object distance u, i.e. the distance of photo-object;
Step 43: mobile phone terminal is when performing step 3, and during mobile phone terminal camera focusing, timing acquisition out-of-focus image group, according to the algorithm of step 42, calculates the object distance u often organizing out-of-focus image, the list of formation distance, and is stored in photo module; When photo module press shutter take pictures time, get actual object image the most clearly; The distance s that step 41 is calculated by mobile phone terminal, from object distance list the last time access time focus that object distance u, the mobile phone terminal of taking pictures collect take pictures time longitude and latitude locator data and actual object image uploading to server;
Step 5: server receives the information that mobile phone terminal sends, according to the distance s of picture-taking position and shops position, take pictures time formed picture object distance u, take pictures time the actual object image that obtains and the standard empirical value preset, the information received is processed, thus determines whether that visit is faked; Its processing procedure is as follows:
Step 51: server compares analysis according to pre-set reference material apart from minimum value, if object distance u is less than reference material apart from minimum value, then thinks that vacation is taken pictures, then server is judged as that visit is faked, and terminates whole flow process; If object distance u is more than or equal to reference material apart from minimum value, then continue next step;
Step 52: distance s and the error access criteria value preset are compared, if be greater than this error access criteria value, then think that vision location is abnormal, then server is judged as that visit is faked, and terminates whole flow process; If be less than or equal to this error access criteria value, then server is judged as normal visit, terminates whole flow process.
2. the method for taking pictures and faking is visited by the shops that prevents according to claim 1, it is characterized in that: in the photographic intelligence process of described step 42, also comprise following process: two width that mobile phone terminal taking-up photo module collects defocus picture, be designated as picture 1 and picture 2, first, mobile phone terminal does piecemeal process to picture 1 and picture 2, is cut into multiple pieces of pictures, calculates the set { u of object distance u according to each piece of picture
1, u
2..., u
n, and then to this set { u
1, u
2..., u
nobject distance average, obtain the actual object distance u ' calculated.
3. the method for taking pictures and faking is visited by the shops that prevents according to claim 1, it is characterized in that: in the position latitude and longitude information process of described step 41, longitude and latitude Data processing, the multiple longitude and latitude point of buffer memory in advance, when current take pictures do not collect effective locator data time, get the last effective position location.
4. the method for taking pictures and faking is visited by the shops that prevents according to claim 1, and it is characterized in that: in step 3, mobile phone terminal also gathers the type of taking pictures of photo module, and type of taking pictures refers to corresponding the taking pictures of different visit step in shops's visit process; Meanwhile, at step 43, mobile phone terminal except by collect take pictures time longitude and latitude locator data, actual object image, image type of also simultaneously taking pictures uploads onto the server; In step 51, server compares analysis according to pre-set difference reference material corresponding to type of taking pictures apart from minimum value.
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| CN109889725A (en) * | 2019-02-27 | 2019-06-14 | 青岛优悠乐联信息有限公司 | A kind of system and method for evading photo reproduction |
| CN112399351A (en) * | 2020-11-04 | 2021-02-23 | 北京金和网络股份有限公司 | Method and device for supervising task execution at non-positioning network |
| CN115514893A (en) * | 2022-09-20 | 2022-12-23 | 北京有竹居网络技术有限公司 | Image uploading method, image uploading device, readable storage medium and electronic equipment |
| CN115860587A (en) * | 2023-03-02 | 2023-03-28 | 广州市玄武无线科技股份有限公司 | Visit assessment method, device, equipment and storage medium based on image-text matching |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1833253A (en) * | 2004-06-04 | 2006-09-13 | 三菱电机株式会社 | Certificate issuance server and certification system for certifying operating environment |
| CN102692635A (en) * | 2011-12-27 | 2012-09-26 | 厦门雅迅网络股份有限公司 | Method for selecting global positioning system (GPS) positioning and base station positioning during store visit |
| CN102999844A (en) * | 2012-09-20 | 2013-03-27 | 北京兆信信息技术股份有限公司 | Intelligent anti-counterfeiting anti-channel-conflict inquiry and forensics method |
-
2014
- 2014-11-05 CN CN201410614027.XA patent/CN104333694B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1833253A (en) * | 2004-06-04 | 2006-09-13 | 三菱电机株式会社 | Certificate issuance server and certification system for certifying operating environment |
| CN102692635A (en) * | 2011-12-27 | 2012-09-26 | 厦门雅迅网络股份有限公司 | Method for selecting global positioning system (GPS) positioning and base station positioning during store visit |
| CN102999844A (en) * | 2012-09-20 | 2013-03-27 | 北京兆信信息技术股份有限公司 | Intelligent anti-counterfeiting anti-channel-conflict inquiry and forensics method |
Non-Patent Citations (1)
| Title |
|---|
| 王海娟: "《中国优秀硕士学位论文全文数据库信息科技辑》", 15 April 2012 * |
Cited By (11)
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| CN108124093A (en) * | 2016-11-30 | 2018-06-05 | 厦门雅迅网络股份有限公司 | Prevent that terminal from taking pictures the method and system of fraud |
| CN108124093B (en) * | 2016-11-30 | 2021-11-16 | 厦门雅迅网络股份有限公司 | Method and system for preventing terminal photographing from counterfeiting |
| CN106730845A (en) * | 2017-02-13 | 2017-05-31 | 淘金科技投资（北京）股份有限公司 | Method for gaming and system |
| CN109743496A (en) * | 2018-12-19 | 2019-05-10 | 孙健鹏 | A kind of method and device of image procossing |
| CN109889725A (en) * | 2019-02-27 | 2019-06-14 | 青岛优悠乐联信息有限公司 | A kind of system and method for evading photo reproduction |
| CN109889725B (en) * | 2019-02-27 | 2021-06-04 | 青岛骐一企业管理有限公司 | System and method for avoiding photo reproduction |
| CN112399351A (en) * | 2020-11-04 | 2021-02-23 | 北京金和网络股份有限公司 | Method and device for supervising task execution at non-positioning network |
| CN112399351B (en) * | 2020-11-04 | 2023-04-28 | 北京金和网络股份有限公司 | Supervision method and device for executing tasks at non-positioning network |
| CN115514893A (en) * | 2022-09-20 | 2022-12-23 | 北京有竹居网络技术有限公司 | Image uploading method, image uploading device, readable storage medium and electronic equipment |
| CN115514893B (en) * | 2022-09-20 | 2023-10-27 | 北京有竹居网络技术有限公司 | Image uploading method, image uploading device, readable storage medium and electronic equipment |
| CN115860587A (en) * | 2023-03-02 | 2023-03-28 | 广州市玄武无线科技股份有限公司 | Visit assessment method, device, equipment and storage medium based on image-text matching |
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