CN114360139A - Intelligent discriminator and intelligent discrimination method - Google Patents
Intelligent discriminator and intelligent discrimination method Download PDFInfo
- Publication number
- CN114360139A CN114360139A CN202111664976.5A CN202111664976A CN114360139A CN 114360139 A CN114360139 A CN 114360139A CN 202111664976 A CN202111664976 A CN 202111664976A CN 114360139 A CN114360139 A CN 114360139A
- Authority
- CN
- China
- Prior art keywords
- detection
- identified
- module
- control center
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012850 discrimination method Methods 0.000 title description 3
- 238000001514 detection method Methods 0.000 claims abstract description 221
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000009471 action Effects 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 238000001917 fluorescence detection Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 6
- 238000012360 testing method Methods 0.000 abstract description 2
- 238000007689 inspection Methods 0.000 description 17
- 238000005457 optimization Methods 0.000 description 6
- 230000005540 biological transmission Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000003384 imaging method Methods 0.000 description 4
- 230000003321 amplification Effects 0.000 description 3
- 238000003199 nucleic acid amplification method Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 241000894007 species Species 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000002337 anti-port Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010422 painting Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 239000012780 transparent material Substances 0.000 description 1
- 238000000825 ultraviolet detection Methods 0.000 description 1
Images
Landscapes
- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
The invention relates to the technical field of identification, and provides an intelligent identifier, which comprises a detection module, a control center and a mobile module, wherein the detection module is used for detecting different counterfeit identification points of an object to be identified and sending detected data to the control center; the control center is used for receiving the data transmitted by the detection module and judging the data so as to discriminate the authenticity of the object to be identified; the mobile module is used for sending the object to be identified to the detection module for detection. An intelligent authentication method is also provided, which comprises four steps. After the object to be detected is placed, the counterfeit identifying instrument can automatically run, the operation is simple, and common people who do not know the counterfeit identifying technology can easily get on the hands; the manual operation function is reserved, and the judgment is carried out through manual identification and machine identification, so that the counterfeit identification accuracy is improved; drive the objective table through the cross guide rail and remove, can make each false point of distinguishing of waiting to appraise the thing all detected by the test station that corresponds, easy operation detects comprehensively and detection efficiency is high.
Description
Technical Field
The invention relates to the technical field of identification, in particular to an intelligent identifier and an intelligent identification method.
Background
The bill discriminator is one developed equipment for bill anti-fake technology. The bill discriminator has the functions of long and short wave ultraviolet, fluorescence, amplification, watermarking and the like, can not only discriminate the currencies of all countries in the world such as RMB, dollars, Euro and the like, but also discriminate various bank draft, commercial acceptance bill, bank note, check certificate, cash transfer check, deposit book, certificate and the like. The bill discriminator can observe, detect and identify the paper quality, the fluorescence characteristic, the infrared characteristic, the printing characteristic and the like of the bill and the bank note, and can amplify the imaging by multiple times and integrate a plurality of functions.
However, the identifier in the market is mainly for professional personnel, and can only be operated manually, and needs to be identified and operated by professionals familiar with the counterfeit identification technology, so that the identifier is not easy to operate for the general public. And because the manual evaluation is mainly used, after the imaging is amplified by multiple times, the specific part of the imaging cannot be easily determined by human eyes, and the difficulty is caused to counterfeit identification.
Disclosure of Invention
The invention aims to provide an intelligent discriminator and an intelligent discrimination method, which can at least solve part of defects in the prior art.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions: an intelligent discriminator comprises a detection module, a control center and a mobile module,
the detection module is used for detecting different counterfeit identification points of the object to be identified and sending the detected data to the control center;
the control center is used for receiving the data transmitted by the detection module and judging the data so as to discriminate the authenticity of the object to be identified;
the mobile module is used for sending the object to be identified to the detection module for detection.
Further, the detection module comprises a plurality of detection stations, at least part of the detection stations correspond to different counterfeit identification points of the object to be authenticated, and each detection station detects the counterfeit identification point on the object to be authenticated corresponding to the detection station.
Further, when part of the detection stations correspond to different counterfeit detection points of the object to be authenticated, another detection station is a panoramic detection station, the panoramic detection station is used for shooting a panoramic image of the object to be authenticated and sending the panoramic image to the control center, the control center determines the counterfeit detection point and the counterfeit detection mode of the object to be authenticated after analyzing the type of the object to be authenticated, and generates a driving instruction for controlling the action of the mobile module according to the counterfeit detection point and the counterfeit detection mode, and the mobile module sends the object to be authenticated to the corresponding detection station in the detection module for detection according to the driving instruction.
Further, the detection module still includes the cabin body, the cabin body is separated and is formed a plurality ofly detect the station, the cabin body is located the top or the below of mobile module, wait to identify the thing locate the cabin body with in the clearance between the mobile module.
Further, each detection station comprises one or more of an infrared detection station, a fluorescence detection station, a visible light detection station, a multispectral detection station and a laser detection station.
Further, the moving module comprises an object stage for bearing the object to be identified and a cross guide rail for driving the object stage to move.
Furthermore, the cross guide rail comprises an X-axis guide rail and a Y-axis guide rail, the objective table is arranged on the X-axis guide rail in a sliding mode through a sliding block, and the X-axis guide rail is arranged on the Y-axis guide rail in a sliding mode.
The device further comprises a display, wherein the display is used for outputting the judgment result of the control center and displaying the full image of the object to be identified, highlighting the detection point, highlighting the suspected point and amplifying or reducing the area being detected in real time.
The embodiment of the invention provides another technical scheme: an intelligent authentication method, comprising the steps of:
s1, the object to be identified is sent to the detection module by the moving module,
s2, the detection module carries out panoramic photographing on the object to be identified, and transmits the panoramic image of the object to be identified to the control center after the photographing is finished;
s3, the control center analyzes the species of the object to be identified, then determines the identification point and the identification mode of the object to be identified, and generates a driving instruction according to the identification point and the identification mode;
and S4, in the step S4, during detection, a moving module is adopted to send the object to be identified to one of the detection stations for detection, the detection result is sent to the control center to judge whether the identification point is true or false, then the action is repeated, the moving module sends the object to be identified to the rest detection stations in sequence, after the detection of all the detection stations is completed, the control center comprehensively analyzes and processes and outputs result information of the authenticity of the object to be identified, and the result information shows the judgment condition of each identification point.
Further, in the step S4, during the detection, the mobile module is first adopted to send the object to be identified to one of the detection stations for detection, and send the detection result to the control center to determine whether the identification point is true or false, and then repeat the operation, the mobile module sends the object to be identified to the remaining detection stations in sequence, until the detection of all the detection stations is completed, the control center performs comprehensive analysis and processes and outputs the result information of whether the object to be identified is true or false, and the result information shows the determination condition of each identification point.
Compared with the prior art, the invention has the beneficial effects that:
1. after the object to be detected is placed, the counterfeit identifying instrument can automatically run, the operation is simple, and common people who do not know the counterfeit identifying technology can easily use the instrument.
2. The manual operation function is reserved, the judgment is carried out through manual identification and machine identification, and the counterfeit identification accuracy is improved.
3. Drive the objective table through the cross guide rail and remove, can make each false point of distinguishing of waiting to appraise the thing all detected by the test station that corresponds, easy operation detects comprehensively and detection efficiency is high.
4. A plurality of independent detection stations are arranged, and the detection accuracy is improved.
5. By means of the automatic technology and advanced detection technologies such as infrared, side infrared, infrared light transmission, ultraviolet, white light, side white light, laser and the like, professional authenticity identification is performed through full-width amplification, local amplification and the like, and automatic operation of the identification process is achieved.
6. The method can automatically generate an authentic and fake identification analysis report for relevant personnel to correct and examine to form a formal identification report.
Drawings
Fig. 1 is a schematic diagram of an internal structure of an intelligent discriminator according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a mobile module of an intelligent discriminator according to an embodiment of the present invention;
fig. 3 is a schematic diagram of data transmission among the detection module, the control center, the mobile module and the display of the intelligent discriminator according to the embodiment of the present invention;
fig. 4 is a block diagram illustrating connections between components of an intelligent discriminator according to an embodiment of the present invention;
in the reference symbols: 1-a mobile module; 2-a detection module; 3-a control center; 5-a network port; 6-USB interface; 7-a display interface; 10-X axis guide rails; 11-Y-axis guide rails; 14-a stage; 15-moving the handle.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 4, an embodiment of the invention provides an intelligent discriminator, which includes a detection module 2, a control center 3 and a mobile module 1. The detection module 2 is used for detecting different counterfeit identification points of the object to be identified and sending the detected data to the control center 3; the control center 3 is used for receiving the data transmitted by the detection module 2 and judging the data so as to discriminate the authenticity of the object to be identified; the mobile module 1 is used for sending the object to be identified to the detection module 2 for detection. In this embodiment, during authentication, the object to be authenticated is placed on the moving module 1, the moving module 1 brings the object to be authenticated to the detecting module 2 for detection, the detecting module 2 can detect different counterfeit authentication points of the object to be authenticated, and overall detection can ensure authentication accuracy. And the control center 3 is used as a core controller, and can receive the data transmitted by the detection module 2 and judge the data to discriminate the authenticity of the object to be authenticated, so that the efficiency is higher compared with the existing manual authentication.
Referring to fig. 1 as an optimization scheme of the embodiment of the present invention, the detecting module 2 includes a plurality of detecting stations, at least some of the detecting stations correspond to different counterfeit detection points of the object to be authenticated, and each detecting station detects the counterfeit detection point on the object to be authenticated corresponding to the detecting station. Preferably, when part of the detecting stations correspond to different counterfeit detection points of the object to be authenticated, another detecting station is a panoramic detecting station, the panoramic detecting station is used for shooting a panoramic image of the object to be authenticated and sending the panoramic image to the control center 3, the control center 3 determines the counterfeit detection point and the counterfeit detection mode of the object to be authenticated after analyzing the type of the object to be authenticated, and generates a driving instruction for controlling the action of the mobile module 1 according to the counterfeit detection point and the counterfeit detection mode, and the mobile module 1 sends the object to be authenticated to the corresponding detecting station in the detecting module 2 according to the driving instruction for detection. In this embodiment, the detection stations are divided into two types, one type is a panoramic detection station, and the other type is a detection station for detecting different counterfeit detection points, wherein only one panoramic detection station can be provided, and a plurality of detection stations for detecting different counterfeit detection points can be provided, so as to ensure omnibearing identification. During operation, the panorama of waiting to identify the thing is shot earlier to the panorama inspection station, then sends to control center 3, and control center 3 compares with the panorama of obtaining according to its inside all kinds of images of waiting to identify the thing of storing in advance to judge out this and wait to identify the thing rapidly. Then, a driving command can be generated according to the counterfeit detection point and the counterfeit detection mode of the object to be authenticated, and then the driving command drives the moving module 1 to move, wherein the moving logic drives the object to be authenticated to move to the corresponding detection station in sequence according to the preset counterfeit detection point sequence, so that the condition of missing detection can be avoided. Specifically, the control center 3 judges the received image information, determines the attribute of the object to be authenticated, and obtains the authentication point and the authentication mode of the object to be authenticated according to the attribute, and sends the information to the object stage 14 and the inspection station, and the object to be authenticated is moved to the corresponding inspection station by the object stage 14. The detection station identifies the counterfeit identification points according to the information sent by the control center 3, the identification is completed, the result is sent to the control center 3, meanwhile, the object to be identified is moved to the next detection station by the object stage 14, and after all detections are completed, the control center 3 comprehensively analyzes the information of the counterfeit identification points according to the summary to obtain the result. Taking the paper currency identification as an example, after the paper currency is placed on the object stage 14, the panoramic detection station is responsible for shooting the whole image of the paper currency and sending the whole image to the control center 3, the control center 3 distinguishes the currency, version and denomination of the paper currency, determines the identification point and identification mode of the paper currency according to the information, then the object stage 14 sends the paper currency to the corresponding detection station for detection, the detection stations respectively send the detection images to the control center 3, the control center 3 comprehensively judges the detection results according to the detection images to obtain the authenticity of the paper currency, and sends the results to the display. The detection principle of the detection station is the same as that of the panoramic detection station, images of the counterfeit detection points are shot and then transmitted to the control center 3, the control center 3 compares the images with pre-stored sample images, the authenticity of the counterfeit detection points can be rapidly judged by judging the similarity of the two images, and then the counterfeit detection points are broken one by one through the detection of each detection station, so that the identification accuracy can be ensured.
In order to further optimize the above solution, referring to fig. 1, the detection module 2 further includes a cabin, the cabin is partitioned to form a plurality of detection stations, the cabin is located above or below the mobile module 1, and the object to be identified is located in a gap between the cabin and the mobile module 1. In this embodiment, each inspection station may be separated by a cabin, each inspection station is relatively independent, and each cabin may be provided with different modules according to the functional requirements. Preferably, each inspection station includes a separate light source module, camera or other signal acquisition device for collecting characteristic information of the object to be inspected. The embodiment shown in fig. 1 is a case where the detection module 2 is located above the moving module 1 with a gap between the detection module 2 and the moving module 1, from where the object to be authenticated can be placed on the moving module 1. The detection stations are gathered together so as to complete the detection of each detection station in a small moving stroke. The detection module 2 is arranged above or below the cross guide rail to achieve the purpose of detection. Preferably, the detection module 2 is square or circular, the detection module 2 is defined as square or circular, and the detection stations can be gathered together, of course, the square includes rectangle and square, the circular includes ellipse, and other shapes such as triangle and trapezoid are also possible, as long as the detection stations are gathered together, which is not limited in this embodiment. In order to allow the detection station located a little further away to detect the counterfeit detection point, the detection range of the detection station may be adjusted. The detection principle is that the false identification points in the image are analyzed by a corresponding detection station through photographing and then amplifying the image. The moving process of the object to be identified carried by the object stage 14 on the cross guide rail can obtain more comprehensive images, thereby ensuring the comprehensive and accurate detection. Fig. 1 shows the internal structure of the intelligent discriminator, and the outside of the discriminator is also provided with a shell, and a detection module 2, a control center 3 and a mobile module 1 are arranged in the shell.
As an optimization scheme of the embodiment of the invention, each detection station comprises one or more of an infrared detection station, a fluorescence detection station, a visible light detection station, a multispectral detection station and a laser detection station. In this embodiment, the inspection station may be configured to perform crown word number identification, infrared reflectance image inspection, infrared projection image inspection, multispectral image inspection, visible light image inspection, ultraviolet optical inspection, infrared optical inspection, security line inspection, and watermark feature inspection. Preferably, the detection stations can be four detection stations which are respectively used for detecting panoramic, infrared and optically variable ink and ultraviolet detection. After the object to be detected enters the discriminator, the panoramic module is responsible for shooting and imaging the object to be detected so as to determine the object to be detected, after the object to be detected enters the counterfeit distinguishing main body, the panoramic detection station automatically shoots a full image and transmits the full image to the control center 3, the control center 3 identifies the property of the object to be detected and defines places as counterfeit distinguishing points, and visible counterfeit distinguishing points such as the crown word number are extracted timely for identification. The infrared optical detection station comprises a camera and infrared light and is used for infrared, side infrared and infrared light transmission detection. The optically variable ink detection station is used for extracting a transmission image on paper money, and in a module related to optically variable ink detection according to the characteristics of the extracted transmission image, because optically variable ink needs to be checked at different angles, light at different angles is set in the detection station, and the angle conversion of light is used for detecting the ink. Taking paper money identification as an example, light-variable ink reflecting effects of light-variable ink parts of real money and fake money are different in Infrared (IR) and red (R) channels, the light-variable ink part of the real money can change along with different light reflecting positions of angles, the change of the fake money in the two channels is the same and is not different, and the authenticity can be judged according to the light reflecting changes of the light-variable ink in the R channel and the IR channel. The spectrometer is an existing device, and the specific structure and the working principle of the spectrometer are not described in detail here. Ultraviolet rays are used for detecting characteristics of fluorescent marks, fluorescent fibers and the like.
Referring to fig. 2, as an optimization solution of the embodiment of the present invention, the moving module 1 includes an object stage 14 for carrying an object to be identified and a cross rail for driving the object stage 14 to move. Preferably, the cross guide rail comprises an X-axis guide rail 10 and a Y-axis guide rail 11, the stage 14 is slidably disposed on the X-axis guide rail 10 through a slider, and the X-axis guide rail 10 is slidably disposed on the Y-axis guide rail 11. In this embodiment, X axle guide rail 10 can drive objective table 14 and remove in X axle direction, Y axle guide rail 11 can drive objective table 14 and remove in Y axle antiport, the two cooperation can drive objective table 14 and reach each position in the plane, so that every checkpoint can both treat the article to be identified and detect, X axle guide rail 10 and Y axle guide rail 11's cooperation can order about the article of treating to identify and move any position on the horizontal direction promptly, compare in present manual movement back and enlarge, therefore, the operation is simple, detect comprehensively and detection efficiency is high. The detection range of the detection module 2 covers the driving range of the moving module 1 so that the moving module 1 can move the object to be authenticated to each detection station. Preferably, the X-axis guide rail 10 and the Y-axis guide rail 11 are both connected with a stepping motor, and the stepping motor provides power. Of course, the cross-shaped guide rail can also be connected with a moving handle 15, and the moving handle 15 is arranged outside the shell, so that an operator can control the movement of the object stage 14 through the moving handle 15 conveniently. This is two different ways of providing power. Preferably, the cross guide rail is installed on a base, the upper surface of the base is a transparent medium, and a light source is arranged below the transparent medium. Preferably, the stage 14 is a translucent or transparent stage 14. In this embodiment, the object stage 14 may be made of a translucent or transparent material, and the middle portion of the object stage may be transparent when the object stage is translucent, so as to facilitate detection by the detection station.
As an optimization scheme of the patent embodiment of the invention, the scheme has two modes, namely a simple mode and an expert mode, wherein in the simple mode, the object stage 14 automatically moves the object to be authenticated to the corresponding detection station according to the system setting, the detection image is projected to the display in real time, and finally the system judges the authenticity of the object to be authenticated according to the comprehensive evaluation result of each detection station. In the expert mode, especially for new currency or new calligraphy and painting, the object to be identified which is not yet included in the database of the system needs to be identified by human operation and the specific point needs to be enlarged or reduced to judge the object to be identified. In a specific operation, after the slide table is moved to the proper position, the object stage 14 disposed on the slide seat is rotated by the moving handle 15, which is not limited in this embodiment.
As an optimization scheme of the embodiment of the present invention, please refer to fig. 3, the intelligent discriminator further includes a display, the display is configured to output the determination result of the control center 3, and the display is further configured to display a full graph of the object to be authenticated, highlight the detection point, highlight the suspected point, and enlarge or reduce the area being detected. In this embodiment, it is assumed that the display has two functions, one is used for displaying the result, and the other is used for displaying the picture, because the display screen is a touch screen, the whole picture of the object to be identified can be displayed in real time, the detection point and the suspected point can be simultaneously highlighted on the screen, and the area being detected can be amplified or reduced for display, the picture-in-picture effect is presented, the manual identification by people is facilitated, and the identification accuracy can be greatly improved by matching with the automatic identification.
Referring to fig. 1, as an optimization scheme of the embodiment of the present invention, a network port 5, a USB interface 6, and a display interface 7 are connected to a control center 3 for completing interaction with external data, so as to perform comparative analysis on the data.
Referring to fig. 1 to 4, an embodiment of the invention provides an intelligent authentication method, including the following steps: s1, the object to be identified is sent to the detection module 2 by the mobile module 1; s2, the detection module 2 carries out panoramic photographing on the object to be identified, and transmits the panoramic image of the object to be identified to the control center 3 after the photographing is finished; s3, the control center 3 analyzes the species of the object to be identified, then determines the identification point and identification mode of the object to be identified, and generates a driving instruction according to the identification point and identification mode; and S4, after receiving the driving instruction, the mobile module 1 sends the object to be authenticated to each detection station of the detection module 2 for detection, and after the detection is finished, the control center 3 judges to discriminate the authenticity of the object to be authenticated. In this embodiment, during authentication, the object to be authenticated is placed on the moving module 1, the moving module 1 brings the object to be authenticated to the detecting module 2 for detection, the detecting module 2 can detect different counterfeit authentication points of the object to be authenticated, and overall detection can ensure authentication accuracy. And the control center 3 is used as a core controller, and can receive the data transmitted by the detection module 2 and judge the data to discriminate the authenticity of the object to be authenticated, so that the efficiency is higher compared with the existing manual authentication. The detection stations are divided into two types, one type is a panoramic detection station, the other type is a detection station for detecting different counterfeit detection points, wherein only one panoramic detection station can be arranged, and a plurality of detection stations for detecting different counterfeit detection points can be arranged to ensure omnibearing identification. During operation, the panorama of waiting to identify the thing is shot earlier to the panorama inspection station, then sends to control center 3, and control center 3 compares with the panorama of obtaining according to its inside all kinds of images of waiting to identify the thing of storing in advance to judge out this and wait to identify the thing rapidly. Then, a driving command can be generated according to the counterfeit detection point and the counterfeit detection mode of the object to be authenticated, and then the driving command drives the moving module 1 to move, wherein the moving logic drives the object to be authenticated to move to the corresponding detection station in sequence according to the preset counterfeit detection point sequence, so that the condition of missing detection can be avoided. Specifically, the control center 3 determines the received image information, determines the attribute of the object to be authenticated, and obtains the authentication point and the authentication mode of the object to be authenticated according to the attribute, and sends these information to the object stage 14, and the object to be authenticated is moved to the corresponding inspection station by the object stage 14. After all the detection is finished, the control center 3 comprehensively analyzes the information of the counterfeit identifying points according to the summary information to obtain a result, and can automatically generate a counterfeit identifying analysis report for relevant personnel to correct and examine to form a formal identification report.
As an optimized solution of the embodiment of the present invention, in the step S4, during the detection, the mobile module 1 is first adopted to send the object to be authenticated to one of the detection stations for detection, and send the detection result to the control center 3 to determine whether the counterfeit point is authentic, and then repeat the operation, and the mobile module 1 sequentially sends the object to be authenticated to the remaining detection stations until the detection of all the detection stations is completed, the control center 3 performs comprehensive analysis processing and outputs the result information of the authenticity of the object to be authenticated, and the result information shows the determination condition of each counterfeit point. In this embodiment, when the object to be authenticated moves to the detection station, the detection station takes a picture of the counterfeit detection point and then sends the picture to the control center 3, the control center 3 compares the picture with the picture of the counterfeit detection point stored in advance, and since the picture stored in advance is a true picture, the authenticity of the counterfeit detection point can be rapidly judged by comparing the similarity between the picture of the counterfeit detection point taken at the site and the picture stored in advance, and then the authenticity information is sent to the control center 3, and then the above actions are repeated, after each detection station detects once, the control center 3 can comprehensively analyze and output the authenticity result information of the object to be authenticated, and the object to be authenticated can be clearly displayed regardless of several suspicious points.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent discriminator, which is characterized in that: comprises a detection module, a control center and a mobile module,
the detection module is used for detecting different counterfeit identification points of the object to be identified and sending the detected data to the control center;
the control center is used for receiving the data transmitted by the detection module and judging the data so as to discriminate the authenticity of the object to be identified;
the mobile module is used for sending the object to be identified to the detection module for detection.
2. An intelligent discriminator according to claim 1, wherein: the detection module comprises a plurality of detection stations, at least part of the detection stations correspond to different counterfeit identification points of the object to be authenticated, and each detection station detects the counterfeit identification point on the object to be authenticated corresponding to the detection station.
3. An intelligent discriminator according to claim 2, wherein: when part of the detection stations correspond to different counterfeit identification points of the object to be identified, another detection station is a panoramic detection station, the panoramic detection station is used for shooting a panoramic image of the object to be identified and sending the panoramic image to the control center, the control center determines the counterfeit identification point and the counterfeit identification mode of the object to be identified after analyzing the type of the object to be identified, and generates a driving instruction for controlling the action of the mobile module according to the counterfeit identification point and the counterfeit identification mode, and the mobile module sends the object to be identified to the corresponding detection station in the detection module for detection according to the driving instruction.
4. An intelligent discriminator according to claim 2, wherein: the detection module still includes the cabin body, the cabin body is separated and is formed a plurality ofly detect the station, the cabin body is located the top or the below of mobile module, treat that the article of appraising is located the cabin body with in the clearance between the mobile module.
5. An intelligent discriminator according to claim 2, wherein: each detection station comprises one or more of an infrared detection station, a fluorescence detection station, a visible light detection station, a multispectral detection station and a laser detection station.
6. An intelligent discriminator according to claim 1, wherein: the moving module comprises an object stage for bearing the object to be identified and a cross guide rail for driving the object stage to move.
7. An intelligent discriminator according to claim 6, wherein: the cross guide rail comprises an X-axis guide rail and a Y-axis guide rail, the objective table is arranged on the X-axis guide rail in a sliding mode through a sliding block, and the X-axis guide rail is arranged on the Y-axis guide rail in a sliding mode.
8. An intelligent discriminator according to claim 1, wherein: the device also comprises a display, wherein the display is used for outputting the judgment result of the control center, and is also used for displaying the full picture of the object to be identified, highlighting the detection point, highlighting the suspected point and amplifying or reducing the area being detected in real time.
9. An intelligent identification method is characterized by comprising the following steps:
s1, the object to be identified is sent to the detection module by the moving module,
s2, the detection module carries out panoramic photographing on the object to be identified, and transmits the panoramic image of the object to be identified to the control center after the photographing is finished;
s3, the control center analyzes the species of the object to be identified, then determines the identification point and the identification mode of the object to be identified, and generates a driving instruction according to the identification point and the identification mode;
and S4, the moving module receives the driving instruction and then sends the object to be authenticated to each detection station of the detection module for detection, and the control center judges the object to be authenticated after the detection is finished so as to discriminate the authenticity of the object to be authenticated.
10. The intelligent authentication method as claimed in claim 9, wherein: in the step S4, during the detection, the mobile module is first used to send the object to be identified to one of the detection stations for detection, and send the detection result to the control center to determine whether the identification point is true or false, and then the operation is repeated, the mobile module sends the object to be identified to the remaining detection stations in sequence, until the detection of all the detection stations is completed, the control center performs comprehensive analysis and processes and outputs the result information of the true or false of the object to be identified, and the result information shows the determination condition of each identification point.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111664976.5A CN114360139A (en) | 2021-12-31 | 2021-12-31 | Intelligent discriminator and intelligent discrimination method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111664976.5A CN114360139A (en) | 2021-12-31 | 2021-12-31 | Intelligent discriminator and intelligent discrimination method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114360139A true CN114360139A (en) | 2022-04-15 |
Family
ID=81104895
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111664976.5A Pending CN114360139A (en) | 2021-12-31 | 2021-12-31 | Intelligent discriminator and intelligent discrimination method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114360139A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11185097A (en) * | 1997-12-22 | 1999-07-09 | Hitachi Ltd | Method and system for identifying truth/false of securities |
| CN1396560A (en) * | 2001-03-16 | 2003-02-12 | 光荣工业株式会社 | Money checking machine |
| CN202995873U (en) * | 2012-10-18 | 2013-06-12 | 湖南求真电子有限公司 | Bank bill detection and discrimination device |
| CN106887075A (en) * | 2015-12-21 | 2017-06-23 | 小米科技有限责任公司 | The method and device of currency examination is carried out using mobile terminal |
| CN209116970U (en) * | 2018-12-29 | 2019-07-16 | 浙江科技学院 | Cable is sliced automatic apparatus for placing and the detector with the device |
| CN111080894A (en) * | 2019-12-30 | 2020-04-28 | 沈阳中钞信达金融设备有限公司 | Intelligent currency counting and detecting machine local foreign currency and paper currency automatic coin sorting system and coin sorting method thereof |
-
2021
- 2021-12-31 CN CN202111664976.5A patent/CN114360139A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11185097A (en) * | 1997-12-22 | 1999-07-09 | Hitachi Ltd | Method and system for identifying truth/false of securities |
| CN1396560A (en) * | 2001-03-16 | 2003-02-12 | 光荣工业株式会社 | Money checking machine |
| CN202995873U (en) * | 2012-10-18 | 2013-06-12 | 湖南求真电子有限公司 | Bank bill detection and discrimination device |
| CN106887075A (en) * | 2015-12-21 | 2017-06-23 | 小米科技有限责任公司 | The method and device of currency examination is carried out using mobile terminal |
| CN209116970U (en) * | 2018-12-29 | 2019-07-16 | 浙江科技学院 | Cable is sliced automatic apparatus for placing and the detector with the device |
| CN111080894A (en) * | 2019-12-30 | 2020-04-28 | 沈阳中钞信达金融设备有限公司 | Intelligent currency counting and detecting machine local foreign currency and paper currency automatic coin sorting system and coin sorting method thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8649590B2 (en) | Paper sheet management apparatus, paper sheet management method, and paper sheet management program | |
| CN100595799C (en) | Two-dimensional currency automatic recognition method and system | |
| JP6002921B2 (en) | Disc discrimination method, disc discrimination device, and disc sorting device | |
| US8682056B2 (en) | Media identification | |
| EP2645339B1 (en) | Stain detection | |
| JP2008524683A (en) | Sheet receiving device | |
| CN102096961A (en) | Paper currency identifying method and device | |
| CN102005078A (en) | Method and device for recognizing paper currencies and tickets | |
| CN108320373A (en) | A kind of method and device of the detection of guiding against false of paper currency mark | |
| WO2011127808A1 (en) | Coin image identification method and device | |
| CN111323397B (en) | Optical imaging system, imaging detection system and method and gene sequencing method | |
| CN104050749B (en) | A kind of method automatically selecting valuable papers's different characteristic point judgement | |
| CN101661644A (en) | Passport and certificate automatic checking technology | |
| JPH08279042A (en) | Method and apparatus for certification of documents | |
| CN202018690U (en) | Paper currency discrimination detector | |
| CN202093595U (en) | Novel bill identifier with real-time contrast function for multiple liquid crystal display images | |
| EP1324283A1 (en) | Document authenticity discriminating apparatus and method therefor | |
| WO2012119409A1 (en) | Paper currency discrimination detector | |
| KR101509399B1 (en) | A identification recognition system | |
| JPWO2010035314A1 (en) | Coin damage determination apparatus and damage determination method | |
| CN114360139A (en) | Intelligent discriminator and intelligent discrimination method | |
| CN202331629U (en) | Novel ticket discriminator with function of comparing a plurality of groups of images in same display screen in real time | |
| KR20120117049A (en) | Method and apparatus for indentifying fake banknote in a poratable terminal | |
| CN111462392A (en) | Method and device for identifying paper money based on multispectral image similarity algorithm | |
| CN107767534A (en) | A kind of method of comprehensive detection guiding against false of paper currency feature |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |