[go: nahoru, domu]

CN104333694B - A method of prevent shops from visiting fraud of taking pictures - Google Patents

A method of prevent shops from visiting fraud of taking pictures Download PDF

Info

Publication number
CN104333694B
CN104333694B CN201410614027.XA CN201410614027A CN104333694B CN 104333694 B CN104333694 B CN 104333694B CN 201410614027 A CN201410614027 A CN 201410614027A CN 104333694 B CN104333694 B CN 104333694B
Authority
CN
China
Prior art keywords
shops
picture
distance
mobile phone
pictures
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.)
Active
Application number
CN201410614027.XA
Other languages
Chinese (zh)
Other versions
CN104333694A (en
Inventor
余建成
洪志新
解玉芳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xiamen Yaxun Zhilian Technology Co ltd
Original Assignee
XIAMEN YAXUN NETWORK CO Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by XIAMEN YAXUN NETWORK CO Ltd filed Critical XIAMEN YAXUN NETWORK CO Ltd
Priority to CN201410614027.XA priority Critical patent/CN104333694B/en
Publication of CN104333694A publication Critical patent/CN104333694A/en
Application granted granted Critical
Publication of CN104333694B publication Critical patent/CN104333694B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Telephone Function (AREA)
  • Telephonic Communication Services (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The present invention discloses a kind of method for preventing shops from visiting fraud of taking pictures comprising following process: step 1: each shops's information is stored on server, shops's information includes the title of shops and the latitude and longitude information of shops etc.;Step 2: before executing visit operation, mobile phone terminal login service device obtains corresponding shops's information to be visited;Step 3: when executing visit operation, mobile phone terminal calls photo module to take pictures;Meanwhile mobile phone terminal passes through longitude and latitude location data and its positioning date-time when the acquisition of its locating module being called to take pictures;Wherein, timing acquiring multiple groups defocus picture when photo module is focused, and every group at least acquires two width and defocus picture, this two width, which defocuses picture, to be acquired when difference defocuses, distance when really taking pictures for calculating;Step 4: mobile phone terminal carries out algorithm analysis to its collected data, and analysis result is sent to server;Step 5: server handles the information received, fakes to judge whether it is visit.

Description

A method of prevent shops from visiting fraud of taking pictures
Technical field
The present invention relates to Mobile Location Technologies and ranging technology of taking pictures, and in particular to a kind of to be prevented using what mobile terminal was realized Only the method and system for fraud of taking pictures is visited by shops.
Background technique
Current phone take pictures evidence obtaining, mobile phone end data acquisition be widely used in routine work, in the shops for the industry that disappears fastly Operation visit in also frequently encounter the scene, for example, business personnel visit need to carry out when patrolling shop storefront take pictures, store arrangement clap According to, in the sales field KA promotion take pictures inspection etc..It takes pictures to collect evidence for the manager of Kuai Xiao enterprise and mainly prevents business personnel and end Some behaviors of some imitation behaviors in end door shop, specification business personnel and shops.However, general shooting mobile phone and camera applications Even if taking pictures can not evade business personnel completely and terminal shops imitation behavior.For example, business personnel person can be by preparatory Storage processes some photos against photograph, accordingly even when not visiting terminal shops or shops is not had The publicity of storefront poster, the store arrangement operation repaid, can also have the photograph processed to this;In addition also there is business personnel logical It crosses and acquires the data of an other shops and fake, for example, visit takes the data of taking pictures of an other shops as this family Data for enterprise, cause some funds to lose while not reaching to gain some marketing promotions expenses of enterprise by cheating To marketing promotions effect.
In addition, most cell phone manufacturer is often using infrared distance measurement and cement bond logging for current mobile phone distance measuring method Away from method etc., however the application of the implementation method of these methods requires on the optimized integration by means of special hardware equipment, real It is existing complicated, at high cost.
Summary of the invention
Therefore, for above-mentioned problem, the present invention proposes a kind of method and system for preventing shops from visiting fraud of taking pictures, benefit With current phone location technology and ranging technology of taking pictures, pass through the inspection of the distance of the position and practical photograph subject of acquisition user Survey, so that whether the visit behavior for prejudging user legal, and then for enterprise's true terminal of acquisition take pictures image data provide according to According to.
In order to solve the above-mentioned technical problem, the present invention makes full use of the principle of optical imagery and is adjustable taking the photograph for image distance distance As the mechanism of head, propose that one kind is taken pictures implementation method, is opened by the fixed-focus process timing acquiring two before taking pictures and defocuses picture, and led to Calculating is compared to two pictures after in real time, so that the reference distance taken pictures is calculated, in conjunction with the positioning skill of longitude and latitude position Art calculates the distance of visit picture-taking position and shop, so as to the fraud that preferably prevents from taking pictures, obtains number of collecting evidence of really taking pictures According to achieve the purpose that prevent shops's visit from faking.
Specifically, a kind of method for preventing shops from visiting fraud of taking pictures of the invention, comprising the following steps:
Step 1: each shops's information is stored on server, shops's information includes the title of shops and the latitude and longitude information of shops Deng;
Step 2: before executing visit operation, mobile phone terminal login service device obtains corresponding shops's information to be visited, i.e., The title of the shops and the latitude and longitude information of shops;
Step 3: when executing visit operation, mobile phone terminal calls photo module to take pictures;Meanwhile mobile phone terminal passes through tune Longitude and latitude location data and its positioning date-time when being taken pictures with the acquisition of its locating module;Wherein, photo module opens camera It takes pictures when focusing, by controlling the image distance adjuster of camera, timing Quick Acquisition multiple groups picture is denoted as out-of-focus image group, often Group out-of-focus image include at least two width defocus picture, this two width defocus picture be in the case that difference defocus acquire namely this Two width, which defocus picture, to be acquired after the image distance for adjusting camera, for calculating distance when really taking pictures;
Step 4: mobile phone terminal carries out algorithm analysis to its collected data, and analysis result is sent to server; Specifically, algorithm analysis includes following content:
Step 41: position information process: first by mobile phone terminal is collected take pictures when longitude and latitude location data and from clothes The latitude and longitude information of the shops obtained on business device compares calculating, according to the calculating of two o'clock latitude and longitude value distance in earth plane Formula calculates the distance s of picture-taking position and shops position;
Step 42: focus shots information processing: mobile phone terminal takes out collected one group of photo module and defocuses picture, is denoted as Picture 1 and picture 2 carry out binarization of gray value processing to picture 1 and picture 2, obtain two width bianry image ID1, ID2;
Wherein, the ratio for enabling clear zone, dark space and whole image region in picture 1 is P0, P1, clear zone in picture 2, dark space with The ratio in whole image region is W0, W1;
Wherein according to gaussian lens law of imagery 1/u+1/v=1/f(, u is object distance, and v is image distance, and f is camera Optical Parametric Number focal length) and geometry law, it can be in the hope of a=r1/r2=P0/W0, (S1-v)/(S2-v)=a, so as to obtain v=(S1- AS2 (wherein, r1 refers to that pixel P defocuses radius on bianry image ID1 to)/(1-a), and r2 refers to pixel P in binary map As the radius that defocuses on ID2, a refers to that two width defocus picture amplification ratio, it can defocus the clear zone of picture by two whole pictures Value P0/W0 or dark space P1/W1 is obtained;S1 refers to lens to the distance of out-of-focus image ID1, and S2 refers to lens to out-of-focus image The distance of ID2, S1 and S2 have to be larger than image distance v.), to acquire the image distance v of optimal imaging, it is known that camera optical parameter is burnt Away from f, according to formula 1/u+1/v=1/f, and then can be in the hope of object distance u, the i.e. distance of photo-object;
Step 43: mobile phone terminal is when executing step 3, when mobile phone terminal camera focusing, timing (general 3 seconds, it is general to clap Will be 3 seconds according to opening that camera focusing takes pictures) it obtains out-of-focus image group the object of every group of out-of-focus image is calculated according to algorithm above Away from u, formation is stored in photo module away from list;When photo module, which presses shutter, takes pictures, clearest reality is got Border subject image;Mobile phone terminal distance s(distance s that step 41 is calculated can be according to the location information of shops and The longitude and latitude positional information taken pictures and calculate linear distance namely step 41 calculate the picture-taking position and shops position obtained away from From s), access time (namely the object distance of one group of out-of-focus image of newest shooting recently in the object distance list for process of taking pictures from focusing U, such as 12:30:01 have taken first group, and 12:30:04 has taken second group, then choose the out-of-focus image of 12:30:04 shooting Object distance u) longitude and latitude location data and actual object when once focusing that object distance u, the mobile phone terminal taken pictures are collected to take pictures Image is uploaded to server;
Step 5: server receives the information that mobile phone terminal is sent, and according to picture-taking position and the distance s of shops position, takes pictures When formed picture object distance u, the actual object image that obtains when taking pictures and preset standard empirical value (presetting), The information received is handled, is faked to judge whether it is visit;Its treatment process is as follows:
Step 51: server is compared analysis away from minimum value according to pre-set reference substance, if object distance u(is Practical object distance) it is less than reference substance away from minimum value, then it is assumed that it is that vacation is taken pictures, that is, is likely to be against photograph, then server is sentenced Break and fake for visit, terminates whole flow process;If object distance u is greater than or equal to reference substance away from minimum value, continue in next step;
Step 52: distance s being compared with preset error access standard value, accesses standard if it is greater than the error Value, then it is assumed that be vision location exception, i.e., it is possible that not being that shops takes pictures the data of acquisition on the spot, it may be possible to other shops Data are pretended to be, then server is judged as that visit is faked, and terminate whole flow process;Standard is accessed if it is less than or equal to the error Value, then server is judged as normal visit, terminates whole flow process.Wherein, error access standard value is preset, generally Empirical value, such as the practical visit in shops take pictures general distance all within 10 meters, if taken pictures with the visit of other family's points Data are played tricks, and Liang Jia shops positional distance is all at 100 meters or more.
In above step, the accuracy of the acquisition of people and shop distance is very heavy when acquisition and visit for object distance of taking pictures are taken pictures It wants, in practical programs treatment process, since Image Acquisition is calculated apart from the irregular of image scene in the process, be easy to cause calculating Object distance has error, and in order to solve this problem, a preferable scheme is: in the photographic intelligence processing of the step 42, further including Following process: mobile phone terminal takes out collected two width of photo module and defocuses picture, picture 1 and picture 2 is denoted as, firstly, mobile phone Terminal does piecemeal processing to picture 1 and picture 2, is cut into multiple pieces of pictures, calculates object distance u's according to each piece of picture Gather { u1, u2, …, un, then again to the set { u1, u2, …, unObject distance average, calculated Practical object distance u ', the accuracy of object distance can be increased in this way.
In addition, in order to improve the accuracy of position information process, the position latitude and longitude information of the step 41 passes through in handling Latitude data processing can using caching multiple longitude and latitude points, when currently take pictures do not acquire effective location data when, take most Nearly primary effective position location, can guarantee that more accurate position can be got in this way.Wherein, multiple longitude and latitude points are cached, I.e. longitude and latitude point is not that take pictures be collected real-time latitude and longitude value for visit, can be the position longitude and latitude taken pictures in first 10 minutes Value, as long as this value is effective location data, so that position is blocked when guaranteeing due to taking pictures or network does not have It, can be using positional value nearest in 10 minutes before when signal is determined less than place value.
In addition, mobile phone terminal also acquires the type of taking pictures of photo module, type of taking pictures refers to difference during shops's visit Step is corresponding takes pictures for visit, for example, storefront arrangement take pictures, display check take pictures, competing product are taken pictures, sales promotion person takes pictures, asset management Type of taking pictures etc..In this way, at step 43, mobile phone terminal is in addition to by longitude and latitude location data, practical object when collected take pictures Body image, the image type that will also take pictures simultaneously are uploaded to server;In step 51, server is according to pre-set difference (for example, shops's storefront is taken pictures since storefront is larger, object distance of generally taking pictures will 3 away from minimum value for the corresponding reference substance of type of taking pictures Meter or more, and against photograph generally all within half meter) it is compared analysis.
The present invention, which provides a kind of adjustment image distance and claps to take, to be defocused picture and acquires the technology that combines of longitude and latitude location data, is led to The object distance of taking pictures that the technology obtains the position of terminal traffic personnel operation and takes pictures when collecting evidence is crossed, this Technology application in reality In the industry that disappears fastly sale management system and the relevant business management system for needing outgoing visit operation and collecting evidence, it can play Guarantee that collected data are effectively legal evidences.Compared to other conventionally employed infrared, ultrasonic technology ranging method dresses It sets, cost is less expensive.
Detailed description of the invention
Fig. 1 is the system logic structure figure of a specific embodiment of the invention;
Fig. 2 defocuses schematic diagram when picture imaging for one group of two width in photographic intelligence processing of the invention;
Fig. 3 is the implementation flow chart of specific embodiments of the present invention.
Specific embodiment
Now in conjunction with the drawings and specific embodiments, the present invention is further described.
The present invention makes full use of the principle of optical imagery and is adjustable the mechanism of the camera of image distance distance, invents a kind of bat It according to implementation method, is opened by timing acquiring two before taking pictures and defocuses picture, calculated by two picture comparing calculation of real time contrast The reference distance taken pictures out calculates the distance of visit picture-taking position and shop, passes through one in conjunction with the location technology of longitude and latitude position The realization of kind system, so as to the fraud that preferably prevents from taking pictures, to achieve the purpose that prevent shops's visit from faking.
Specifically, a kind of method for preventing shops from visiting fraud of taking pictures of the invention mainly applies to following 4 referring to Fig. 1 Part: mobile phone locating module, photo module, APP the visit program, server of mobile phone terminal.
Wherein, mobile phone locating module can be GPS positioning, and/or base station location, and/or WIFI positioning, it is desirable that positioning Precision is higher, and its location information provided can visit arriving for routine access by APP.The mobile phone locating module is mainly used for acquiring Effective longitude and latitude position.The mobile phone locating module can be current function machine, android system mobile phone, iOS system mobile phone In mobile phone locating template.
It takes pictures template, with taking pictures on site;As a preferable embodiment, which is preferably that resolution ratio exists More than 1000000 pixels, have snapshots function, and have optical zoom function, image distance can be adjusted quickly to carry out image Focusing, and adjust image distance function that can visit routine call by APP and control, it is desirable that the parameter of photo module is known in advance, including The parameters such as focal length, the image distance of camera.Photo module provides the image data of analysis for obtaining pictorial information.
APP visit program, operate in the operating system of mobile phone terminal, can be operate in various function machine systems or APP in intelligent machine system primarily serves control mobile phone locating module information, photo module obtains positioning latitude and longitude information, claps It is analyzed and processed according to image information, to the process picture data of taking pictures, records and visit type of taking pictures, record saves visit record and grasps Make, and the data of acquisition are uploaded to central cloud server.
Server, centered on call data cloud storage service device, visit shops visit gained data of taking pictures are deposited Storage, analysis handle and show result.
Referring to Fig. 1, APP visit program of the business personnel using the operating system for operating in mobile phone terminal, acquisition position longitude and latitude Degree evidence, data of taking pictures, other call datas and out-of-focus image of taking pictures processing, and it is sent to server, server is to visit Data are stored and are handled.Showing end, upper-layer service management can also be carried out, such as web report visit analysis, visit process are looked into Other management such as inquiry, shops.
Specifically, a kind of method for preventing shops from visiting fraud of taking pictures of the invention, referring to fig. 2 comprising following processing Process:
(1) APP visits shops's information that program obtains visit from server, and shops's information includes the title of shops, longitude and latitude Spend information etc.;
(2) APP visits program and starts visit operation, according to the different visit operational motions of selection, call photo module into Row is taken pictures;Longitude and latitude location data and its positioning date-time when by calling the acquisition of its locating module to take pictures;APP visits program Acquire longitude and latitude positional information, date-time and the type of taking pictures where taking pictures;
(3) it takes pictures Image Acquisition, photo module is taken pictures when focusing, and timing Quick Acquisition multiple groups defocus picture;Every group defocuses Picture includes at least two and defocuses picture, simultaneously, it is desirable that it is to adjust camera image distance, defocusing feelings in difference that two, which defocus picture, It is acquired under condition, so as to the distance of the last calculating is used as object distance when really taking pictures;
(4) APP visits program and carries out algorithm analysis to collected data, first according to the warp of latitude and longitude information and shops Latitude information compares, and calculates the distance of picture-taking position and shops position;
(5) APP visit program take out photo module it is collected wherein one group defocus picture, two width of the group are defocused Picture carries out binarization of gray value processing, and available two width bianry image ID1, ID2 are denoted as image one and image two;
(6) ratio in clear zone, dark space and whole image region is P0, P1 in image one, clear zone in image two, dark space with it is whole The ratio of a image-region is W0, W1;
(7) as shown in figure 3, P refers to that specific object picture vegetarian refreshments, D refer to that two focus length imaging object point, Q refer to specifically most Good imaging point, A refer to focal plane;
It (8), can be in the hope of a=P0/W0=r1/ according to gaussian lens law of imagery 1/u+1/v=1/f and geometry law R2, (S1-v)/(S2-v)=a release v=(S1-aS2)/(1-a), thus the image distance v asked, it is known that camera optical parameter focal length F, so as 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 parameter Focal length;R1 refers to that pixel P defocuses radius on bianry image ID1, and r2 refers to pixel P dissipating on bianry image ID2 Focal radius, a refer to that two width defocus the amplification ratio of picture;S1 refers to lens to the distance of out-of-focus image ID1, and S2 refers to that lens arrive The distance of out-of-focus image ID2, S1 and S2 have to be larger than image distance v;
(9) step (5)-step (8) are repeated, every group of object distance u for defocusing picture in photo module is calculated, from when wherein choosing Between the last photo-object distance, and quickly adjust image distance to v(optimal imaging image distance when pressing shutter) distance, To which quick obtaining is to clearest actual object image, and object distance of taking pictures, visit and take pictures longitude and latitude position, people and shops Distance (calculating linear distance according to the latitude and longitude value of shops and people), actual object image, image photographic type are reported to service Device;
(10) server stores the above basic data visited every time, starts to carry out data analysis to required data procedures, Statement analysis mode specifically can be used;
(11) server report treatment process 1 takes pictures the corresponding reference substance of type away from most according to pre-set difference Small value is compared analysis, if practical object distance is less than minimum sandards value, then it is assumed that is that vacation is taken pictures, that is, is likely to be against photograph Piece is taken pictures;
(12) server report treatment process 2 accesses standard value according to the error of people when visit and the distance of shops, if Vision location exception is then considered greater than this standard value, i.e., it is possible that not being that shops takes pictures the data of acquisition on the spot, it is possible to It is that the data of other shops are pretended to be;
(13) statistical forms finally are formed on backstage, analytical statement field information includes business personnel's title, shops's name Whether people and the distance of shops, image of taking pictures, type of taking pictures, object distance of taking pictures, visit describe, are different when claiming, visiting time, visit Often;
(14) whether abnormal data obtains according to business personnel's consolidated statement, if visit is faked, then by specifically visiting The confirmation of detailed data is faked, checked so as to the visit process to the industry that disappears fastly play the role of it is preferable.
In above step, the accuracy of the acquisition of people and shop distance is very heavy when acquisition and visit for object distance of taking pictures are taken pictures It wants, it, can be to object distance of taking pictures since Image Acquisition is calculated apart from the irregular of image scene in the process in practical programs treatment process Collection process do some processing, defocus picture for collected two and do piecemeal cutting, calculate what every piece of picture calculated Then object distance again averages to each collected object distance, can increase the accuracy of object distance in this way.Longitude and latitude data processing Can using caching multiple points, when currently take pictures do not acquire effective location data when, take the last effective sprocket bit It sets, can guarantee that more accurate position can be got in this way.
Although the method for the mode and longitude and latitude of this acquisition object distance, cannot guarantee to get point-device visit well Object distance and personnel and shops's distance when visit is taken pictures, but the above method is used as to identify whether to visit to take pictures to fetch to fake and reach With, while the above method is easy to use, has good practicability.
The present invention, which provides a kind of adjustment image distance and claps to take, to be defocused picture and acquires the technology that combines of longitude and latitude location data, is led to The object distance of taking pictures that the technology obtains the position of terminal traffic personnel operation and takes pictures when collecting evidence is crossed, this Technology application in reality In the industry that disappears fastly sale management system and the relevant business management system for needing outgoing visit operation and collecting evidence, it can play Guarantee that collected data are effectively legal evidences.Compared to other conventionally employed infrared, ultrasonic technology ranging method dresses It sets, cost is less expensive.
In the actual sale management system for disappearing industry fastly, need to realize outgoing visit so function scene, industry Business person carries out operation using the visit functional module in the APP visit program on professional mobile phone, and job step includes that storefront is clapped According to, display inspections, sales promotion person's management, the inspection of heap head, equipment launch check, visit place an order, competing product acquire and etc., these steps Evidence obtaining of taking pictures is required, by applying this technology in the mobile phone business application system that business personnel goes out operation, can be got The object distance taken pictures and when taking pictures personnel longitude and latitude position, to ensure that these acquisition data validitys and true well Property.
Although specifically showing and describing the present invention in conjunction with preferred embodiment, those skilled in the art should be bright It is white, it is not departing from the spirit and scope of the present invention defined by the appended claims, it in the form and details can be right The present invention makes a variety of changes, and is protection scope of the present invention.

Claims (4)

1. a kind of method for preventing shops from visiting fraud of taking pictures, comprising the following steps:
Step 1: each shops's information is stored on server, shops's information includes the title of shops and the latitude and longitude information of shops etc.;
Step 2: before executing visit operation, mobile phone terminal login service device obtains corresponding shops's information to be visited, the i.e. door The title in shop and the latitude and longitude information of shops;
Step 3: when executing visit operation, mobile phone terminal calls photo module to take pictures;Meanwhile mobile phone terminal is by calling it Longitude and latitude location data and its positioning date-time when locating module acquisition is taken pictures;Wherein, photo module opens camera and takes pictures When focusing, by controlling the image distance adjuster of camera, timing Quick Acquisition multiple groups picture is denoted as out-of-focus image group, and every group dissipates Burnt image includes at least two width and defocuses picture, this two width, which defocuses picture, to be acquired when difference defocuses;
Step 4: mobile phone terminal carries out algorithm analysis to its collected data, and analysis result is sent to server;Specifically , algorithm analysis includes following content:
Step 41: position information process: first by mobile phone terminal is collected take pictures when longitude and latitude location data and from server The latitude and longitude information of the shops of upper acquisition compares calculating, public according to the calculating of two o'clock latitude and longitude value distance in earth plane Formula calculates the distance s of picture-taking position and shops position;
Step 42: focus shots information processing: mobile phone terminal takes out collected one group of photo module and defocuses picture, is denoted as picture 1 and picture 2, binarization of gray value processing is carried out to picture 1 and picture 2, obtains two width bianry image ID1, ID2;Wherein, picture is enabled The ratio in clear zone, dark space and whole image region is P0, P1, the ratio of clear zone, dark space and whole image region in picture 2 in 1 For W0, W1;
According to gaussian lens law of imagery 1/u+1/v=1/f, wherein u is object distance, and v is image distance, and f is that camera optical parameter is burnt Away from and geometry law, acquire a=r1/r2=P0/W0, (S1-v)/(S2-v)=a, so as to obtain v=(S1-aS2)/(1- a);Wherein, r1 refers to that pixel P defocuses radius on bianry image ID1, and r2 refers to pixel P on bianry image ID2 Defocus radius, a refers to that two width defocus picture amplification ratio, and S1 refers to lens to the distance of out-of-focus image ID1, and S2 refers to that lens arrive The distance of out-of-focus image ID2, S1 and S2 are all larger than image distance v;The image distance v of optimal imaging is acquired according to above formula, it is known that camera shooting Head optical parameter focal length f, according to formula 1/u+1/v=1/f, and then acquires object distance u, i.e. the distance of photo-object;
Step 43: mobile phone terminal is when executing step 3, when mobile phone terminal camera focusing, timing acquisition out-of-focus image group, according to The algorithm of step 42, calculates the object distance u of every group of out-of-focus image, and formation is stored in photo module away from list;When mould of taking pictures When block presses shutter and takes pictures, clearest actual object image is got;Distance s that mobile phone terminal calculates step 41, Longitude and latitude positioning when taking pictures that the focusing of the last time access time object distance u, the mobile phone terminal taken pictures are collected from object distance list Data and actual object image are uploaded to server;
Step 5: server receives the information that mobile phone terminal is sent, according to picture-taking position and the distance s of shops position, when institute of taking pictures The actual object image obtained when forming the object distance u of picture, taking pictures and preset standard empirical value, to the information received It is handled, is faked to judge whether it is visit;Its treatment process is as follows:
Step 51: server is compared analysis away from minimum value according to pre-set reference substance, if object distance u is less than standard Object distance minimum value, then it is assumed that be that vacation is taken pictures, then server is judged as that visit is faked, and terminates whole flow process;If object distance u be greater than or Equal to reference substance away from minimum value, then continue in next step;
Step 52: distance s being compared with preset error access standard value, accesses standard value if it is greater than the error, then It is considered vision location exception, then server is judged as that visit is faked, and terminates whole flow process;If it is less than or equal to the error Standard value is accessed, then server is judged as normal visit, terminates whole flow process.
2. the method according to claim 1 for preventing shops from visiting fraud of taking pictures, it is characterised in that: the photograph of the step 42 Further include following process in piece information processing: mobile phone terminal takes out collected two width of photo module and defocuses picture, is denoted as picture 1 and picture 2 firstly, mobile phone terminal does piecemeal processing to picture 1 and picture 2 multiple pieces of pictures are cut into, according to each Block picture calculates the set { u of object distance u1, u2, …, un, then again to the set { u1, u2, …, unObject distance ask Average value, the practical object distance u ' calculated.
3. the method according to claim 1 for preventing shops from visiting fraud of taking pictures, it is characterised in that: the position of the step 41 It sets in latitude and longitude information processing, longitude and latitude Data processing caches multiple longitude and latitude points in advance, has not acquired when currently taking pictures When the location data of effect, the last effective position location is taken.
4. the method according to claim 1 for preventing shops from visiting fraud of taking pictures, it is characterised in that: in step 3, mobile phone is whole End also acquires the type of taking pictures of photo module, and type of taking pictures, which refers to during shops's visit different visits step is corresponding, takes pictures; Meanwhile at step 43, mobile phone terminal is in addition to going back longitude and latitude location data, actual object image when collected take pictures same When the image type that will take pictures be uploaded to server;In step 51, server is taken pictures type pair according to pre-set difference The reference substance answered is compared analysis away from minimum value.
CN201410614027.XA 2014-11-05 2014-11-05 A method of prevent shops from visiting fraud of taking pictures Active CN104333694B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410614027.XA CN104333694B (en) 2014-11-05 2014-11-05 A method of prevent shops from visiting fraud of taking pictures

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410614027.XA CN104333694B (en) 2014-11-05 2014-11-05 A method of prevent shops from visiting fraud of taking pictures

Publications (2)

Publication Number Publication Date
CN104333694A CN104333694A (en) 2015-02-04
CN104333694B true CN104333694B (en) 2019-10-08

Family

ID=52408336

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410614027.XA Active CN104333694B (en) 2014-11-05 2014-11-05 A method of prevent shops from visiting fraud of taking pictures

Country Status (1)

Country Link
CN (1) CN104333694B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
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
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
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

Citations (3)

* Cited by examiner, † Cited by third party
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

Patent Citations (3)

* Cited by examiner, † Cited by third party
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

Also Published As

Publication number Publication date
CN104333694A (en) 2015-02-04

Similar Documents

Publication Publication Date Title
CN104333694B (en) A method of prevent shops from visiting fraud of taking pictures
US11671702B2 (en) Real time assessment of picture quality
TWI709091B (en) Image processing method and device
US20190012382A1 (en) Coordinating communication and/or storage based on image analysis
CN111046752B (en) Indoor positioning method, computer equipment and storage medium
US20120288165A1 (en) Surveillance-based high-resolution facial recognition
CN109063590A (en) Information processing method, apparatus and system based on recognition of face
CN109905641B (en) Target monitoring method, device, equipment and system
CN106503621A (en) A kind of method for collecting iris and system
CN111523109B (en) Method and device for verifying electronic equipment application
US20240013246A1 (en) Portable evaluation device, associated systems and methods
CN115171197B (en) High-precision image information identification method, system, equipment and storage medium
Abuolaim et al. Revisiting autofocus for smartphone cameras
KR101554776B1 (en) A method providing source information of a subject according to photographing the subject, and a server and a hand-held terminal therefor
CN111225340A (en) Scenic spot object searching method and device and storage medium
CN114648412A (en) Insurance implementation method and device for electronic equipment
CN114882003A (en) Method, medium and computing device for detecting shooting pose change of camera
KR101695655B1 (en) Method and apparatus for analyzing video and image
CN108961098A (en) Vehicle supervision method, apparatus, system and computer readable storage medium
KR20180036083A (en) Method and system for preventing a registration of a fraudulent product for sale
CN114596102B (en) Block chain-based anti-counterfeiting traceability federated learning training method and device
WO2019187290A1 (en) Information processing device, information processing system, information processing method, and non-transient computer-readable medium whereon program has been stored
CN111078804A (en) Information association method, system and computer terminal
CN110958608A (en) Wireless network connection method, device, storage medium and computer equipment
CN115619832B (en) Multi-camera collaborative multi-target track confirmation method, system and related device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: 303-e, Zone C, innovation building, software park, torch hi tech Zone, Xiamen City, Fujian Province

Patentee after: Xiamen Yaxun Zhilian Technology Co.,Ltd.

Country or region after: China

Address before: No.46 guanri Road, phase II, software park, Xiamen City, Fujian Province, 361000

Patentee before: XIAMEN YAXON NETWORK Co.,Ltd.

Country or region before: China