CN113470245A - Big data management-based signal matching system - Google Patents
Big data management-based signal matching system Download PDFInfo
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- CN113470245A CN113470245A CN202010178866.7A CN202010178866A CN113470245A CN 113470245 A CN113470245 A CN 113470245A CN 202010178866 A CN202010178866 A CN 202010178866A CN 113470245 A CN113470245 A CN 113470245A
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/2041—Matching statistical distributions, e.g. of particle sizes orientations
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/206—Matching template patterns
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- Computer Vision & Pattern Recognition (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
The invention relates to a signal matching system based on big data management, comprising: the big data management platform is used for storing standard paper money portrait patterns, and the standard paper money portrait patterns are portrait images printed on genuine paper money; the field illumination light source is used for carrying out field illumination on the front surface of a single paper currency to be inspected, which is placed on the inspection table, so as to improve the brightness of the environment where the single paper currency is located; the pinhole video recording equipment is used for carrying out video recording operation on the environment where the single paper currency is located so as to obtain a real-time video recording frame corresponding to the current moment; and the paper currency identification device is used for identifying the image area where the paper currency object is located from the received real-time video recording frame based on the paper currency imaging characteristics to output as the paper currency area. The big data management-based signal matching system is reliable in logic and compact in structure. Due to the fact that a signal matching mechanism of the pixel point level is introduced, the identification precision of the counterfeit money and the genuine money is improved, and the counterfeit money manufacturing behavior is deterred.
Description
Technical Field
The invention relates to the field of big data application, in particular to a signal matching system based on big data management.
Background
In this rapidly evolving intelligent hardware era, an important issue that plagues application developers is how to find that delicate balance between power, coverage, transmission rate, and cost. Enterprise organizations utilizing relevant data and analytics can help them reduce costs, improve efficiency, develop new products, make more informed business decisions, and so forth. For example, by combining big data and high performance analysis, the following may occur for the benefit of the enterprise: (1) resolving the root cause of faults, problems, and defects in a timely manner may save billions of dollars each year for a business. (2) Real-time traffic routes are planned for thousands of express delivery vehicles, and congestion is avoided. (3) All SKUs are analyzed to price and clear inventory with the goal of maximizing profit. (4) According to the purchasing habits of the customers, the customers are pushed with preferential information which may be interested in the customers. (5) A high quality customer is quickly identified from a large number of customers. (6) Click stream analysis and data mining are used to circumvent fraudulent behavior.
At present, the anti-counterfeiting performance of paper money is higher and higher, more and more data are needed to be detected during currency detection, and if the data detection operations are carried out locally, the stability and reliability of the currency detection are difficult to improve when the quantity of the banknotes to be detected is more and more.
Disclosure of Invention
To this end, the present invention has at least the following two key points:
(1) a high-precision signal matching mechanism at a pixel point level is adopted to distinguish whether the portrait of a figure on the paper money to be detected is reliable or not in real time, so that the forged paper money can be accurately identified;
(2) before matching the portrait of the person on the paper money to be detected with the portrait pattern of the standard paper money, in order to avoid image distortion caused in the shooting process and the signal transmission process, size normalization processing is respectively carried out on the portrait of the person on the paper money to be detected and the portrait pattern of the standard paper money.
According to an aspect of the present invention, there is provided a big data management-based signal matching system, the system including:
the big data management platform is used for storing standard paper money portrait patterns, and the standard paper money portrait patterns are portrait images printed on genuine paper money;
the field illumination light source is used for carrying out field illumination on the front surface of a single paper currency to be inspected, which is placed on the inspection table, so as to improve the brightness of the environment where the single paper currency is located;
the pinhole video recording equipment is arranged on the left side of the field lighting light source and is used for carrying out video recording operation on the environment where the single paper currency is located so as to obtain a real-time video recording frame corresponding to the current moment;
the paper currency identification device is connected with the pinhole video recording device and used for identifying the image area where the paper currency object is located in the received real-time video recording frame based on the paper currency imaging characteristics to be output as the paper currency area;
the size adjusting device is in network connection with the big data management platform and is used for respectively executing size normalization processing on the banknote area and the standard banknote portrait pattern so as to respectively obtain a first processed image and a second processed image;
the signal identification device is connected with the size adjusting device and is used for overlapping the first processed image on the second processed image so as to send out a paper money error instruction when the proportion of the number of non-overlapping pixel points between the first processed image and the second processed image to the total number of pixel points of the second processed image exceeds a preset proportion threshold;
the signal authentication equipment is further used for sending a reliable instruction of the paper money when the proportion of the number of non-overlapping pixel points between the two to the total number of the pixel points of the second processed image does not exceed the preset proportion threshold;
wherein, in the signal evaluation device, pixels at the same position in the image, pixels between which there is no overlap, are determined such that the absolute value of the difference between the pixel value in the first processed image and the pixel value in the second processed image is out of limit;
the big data management platform is further connected with the signal identification device and used for pre-storing the preset proportion threshold.
The big data management-based signal matching system is reliable in logic and compact in structure. Due to the fact that a signal matching mechanism of the pixel point level is introduced, the identification precision of the counterfeit money and the genuine money is improved, and the counterfeit money manufacturing behavior is deterred.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a block diagram illustrating a structure of a big data management-based signal matching system according to an embodiment of the present invention.
Fig. 2 is a block diagram illustrating a configuration of a big data management-based signal matching system according to a first embodiment of the present invention.
Fig. 3 is a block diagram illustrating a configuration of a big data management-based signal matching system according to a second embodiment of the present invention.
Detailed Description
Embodiments of a big data management-based signal matching system according to the present invention will be described in detail with reference to the accompanying drawings.
In the prior art, the attack force of each country and region is very large for the behavior of counterfeit paper money, but the counterfeit paper money is identified by adopting either manual mode identification or professional precision instruments, however, the detection precision of the counterfeit paper money is poor, and the detection precision of the counterfeit paper money needs to depend on expensive precision instruments, so that the counterfeit paper money cannot be identified and verified in real time and with high precision.
In order to overcome the defects, the invention builds a signal matching system based on big data management, and can effectively solve the corresponding technical problem.
First embodiment
Fig. 2 is a block diagram illustrating a structure of a big data management-based signal matching system according to a first embodiment of the present invention, the system including:
the big data management platform is used for storing standard paper money portrait patterns, and the standard paper money portrait patterns are portrait images printed on genuine paper money;
the field illumination light source is used for carrying out field illumination on the front surface of a single paper currency to be inspected, which is placed on the inspection table, so as to improve the brightness of the environment where the single paper currency is located;
the pinhole video recording equipment is arranged on the left side of the field lighting light source and is used for carrying out video recording operation on the environment where the single paper currency is located so as to obtain a real-time video recording frame corresponding to the current moment;
the paper currency identification device is connected with the pinhole video recording device and used for identifying the image area where the paper currency object is located in the received real-time video recording frame based on the paper currency imaging characteristics to be output as the paper currency area;
the size adjusting device is in network connection with the big data management platform and is used for respectively executing size normalization processing on the banknote area and the standard banknote portrait pattern so as to respectively obtain a first processed image and a second processed image;
the signal identification device is connected with the size adjusting device and is used for overlapping the first processed image on the second processed image so as to send out a paper money error instruction when the proportion of the number of non-overlapping pixel points between the first processed image and the second processed image to the total number of pixel points of the second processed image exceeds a preset proportion threshold;
the signal authentication equipment is further used for sending a reliable instruction of the paper money when the proportion of the number of non-overlapping pixel points between the two to the total number of the pixel points of the second processed image does not exceed the preset proportion threshold;
wherein, in the signal evaluation device, pixels at the same position in the image, pixels between which there is no overlap, are determined such that the absolute value of the difference between the pixel value in the first processed image and the pixel value in the second processed image is out of limit;
the big data management platform is further connected with the signal identification device and used for pre-storing the preset proportion threshold.
Second embodiment
Fig. 3 is a block diagram illustrating a structure of a big data management-based signal matching system according to a second embodiment of the present invention, the system including:
the pressure detection device is arranged on the shell of the signal identification device and used for measuring the instant pressure currently born by the shell of the signal identification device;
the big data management platform is used for storing standard paper money portrait patterns, and the standard paper money portrait patterns are portrait images printed on genuine paper money;
the field illumination light source is used for carrying out field illumination on the front surface of a single paper currency to be inspected, which is placed on the inspection table, so as to improve the brightness of the environment where the single paper currency is located;
the pinhole video recording equipment is arranged on the left side of the field lighting light source and is used for carrying out video recording operation on the environment where the single paper currency is located so as to obtain a real-time video recording frame corresponding to the current moment;
the paper currency identification device is connected with the pinhole video recording device and used for identifying the image area where the paper currency object is located in the received real-time video recording frame based on the paper currency imaging characteristics to be output as the paper currency area;
the size adjusting device is in network connection with the big data management platform and is used for respectively executing size normalization processing on the banknote area and the standard banknote portrait pattern so as to respectively obtain a first processed image and a second processed image;
the signal identification device is connected with the size adjusting device and is used for overlapping the first processed image on the second processed image so as to send out a paper money error instruction when the proportion of the number of non-overlapping pixel points between the first processed image and the second processed image to the total number of pixel points of the second processed image exceeds a preset proportion threshold;
the signal authentication equipment is further used for sending a reliable instruction of the paper money when the proportion of the number of non-overlapping pixel points between the two to the total number of the pixel points of the second processed image does not exceed the preset proportion threshold;
wherein, in the signal evaluation device, pixels at the same position in the image, pixels between which there is no overlap, are determined such that the absolute value of the difference between the pixel value in the first processed image and the pixel value in the second processed image is out of limit;
the big data management platform is further connected with the signal identification device and used for pre-storing the preset proportion threshold.
Next, a detailed configuration of the big data management-based signal matching system according to each embodiment of the present invention will be further described.
In the big data management-based signal matching system, the method further comprises:
the pressure analysis equipment is connected with the pressure detection equipment and is used for sending a pressure alarm instruction when the received instant pressure exceeds the limit;
and the pressure analysis equipment is also used for sending a normal pressure command when the received instant pressure is not over-limit.
In the big data management-based signal matching system, the method further comprises:
and the alarm execution equipment is connected with the pressure analysis equipment and is used for executing corresponding alarm operation when receiving the pressure alarm instruction.
In the big data management-based signal matching system:
the alarm execution equipment is a buzzer and is used for sending out buzzing sound with preset frequency when corresponding alarm operation is executed.
In the big data management-based signal matching system:
the alarm execution device is a voice playing chip and is used for playing a corresponding alarm file when corresponding alarm operation is executed.
In the big data management-based signal matching system:
the alarm execution device is a display device and is used for displaying corresponding alarm characters when corresponding alarm operation is executed.
In the big data management-based signal matching system, the method further comprises:
and the alarm execution equipment is also used for stopping executing corresponding alarm operation when the normal pressure instruction is received.
In the big data management-based signal matching system, the method further comprises:
and the humidity sensing equipment is arranged on the left side of the signal identification equipment and is used for measuring the field humidity of the current position of the signal identification equipment.
In the big data management-based signal matching system, the method further comprises:
the parameter judgment device is connected with the humidity sensing device and used for sending a humidity alarm signal when the received field humidity exceeds the limit;
and the humidity analysis equipment is also used for sending a humidity reliable signal when the received field humidity is not over-limit.
In addition, the signal identification device is a CPLD device, and the model selection of the CPLD device is based on the maximum computation requirement of the signal identification device.
The Complex Programmable Logic Device (CPLD) is developed from PAL and GAL devices, and is relatively large in scale and complex in structure, belonging to the field of large scale integrated circuit. The digital integrated circuit is a digital integrated circuit which is used by a user to construct logic functions according to respective needs. The basic design method is to generate corresponding target files by means of an integrated development software platform and methods such as schematic diagrams, hardware description languages and the like, and to transmit codes to a target chip through a download cable (programming in the system) so as to realize the designed digital system.
CPLDs are mainly composed of programmable interconnected matrix cells surrounded by programmable logic Macro cells (MC, Macro cells). The MC structure is complex and has a complex I/O unit interconnection structure, and a user can generate a specific circuit structure according to the requirement to complete a certain function. Because the CPLD adopts metal wires with fixed length to interconnect each logic block, the designed logic circuit has time predictability, and the defect of incomplete time sequence prediction of a sectional type interconnection structure is avoided.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (10)
1. A big data management based signal matching system, comprising:
the big data management platform is used for storing standard paper money portrait patterns, and the standard paper money portrait patterns are portrait images printed on genuine paper money;
the field illumination light source is used for carrying out field illumination on the front surface of a single paper currency to be inspected, which is placed on the inspection table, so as to improve the brightness of the environment where the single paper currency is located;
the pinhole video recording equipment is arranged on the left side of the field lighting light source and is used for carrying out video recording operation on the environment where the single paper currency is located so as to obtain a real-time video recording frame corresponding to the current moment;
the paper currency identification device is connected with the pinhole video recording device and used for identifying the image area where the paper currency object is located in the received real-time video recording frame based on the paper currency imaging characteristics to be output as the paper currency area;
the size adjusting device is in network connection with the big data management platform and is used for respectively executing size normalization processing on the banknote area and the standard banknote portrait pattern so as to respectively obtain a first processed image and a second processed image;
the signal identification device is connected with the size adjusting device and is used for overlapping the first processed image on the second processed image so as to send out a paper money error instruction when the proportion of the number of non-overlapping pixel points between the first processed image and the second processed image to the total number of pixel points of the second processed image exceeds a preset proportion threshold;
the signal authentication equipment is further used for sending a reliable instruction of the paper money when the proportion of the number of non-overlapping pixel points between the two to the total number of the pixel points of the second processed image does not exceed the preset proportion threshold;
wherein, in the signal evaluation device, pixels at the same position in the image, pixels between which there is no overlap, are determined such that the absolute value of the difference between the pixel value in the first processed image and the pixel value in the second processed image is out of limit;
the big data management platform is further connected with the signal identification device and used for pre-storing the preset proportion threshold.
2. The big-data-management-based signal matching system of claim 1, further comprising:
and the pressure detection device is arranged on the shell of the signal identification device and used for measuring the instant pressure currently born by the shell of the signal identification device.
3. The big-data-management-based signal matching system of claim 2, further comprising:
the pressure analysis equipment is connected with the pressure detection equipment and is used for sending a pressure alarm instruction when the received instant pressure exceeds the limit;
and the pressure analysis equipment is also used for sending a normal pressure command when the received instant pressure is not over-limit.
4. The big-data-management-based signal matching system of claim 3, further comprising:
and the alarm execution equipment is connected with the pressure analysis equipment and is used for executing corresponding alarm operation when receiving the pressure alarm instruction.
5. The big-data-management-based signal matching system of claim 4, wherein:
the alarm execution equipment is a buzzer and is used for sending out buzzing sound with preset frequency when corresponding alarm operation is executed.
6. The big-data-management-based signal matching system of claim 4, wherein:
the alarm execution device is a voice playing chip and is used for playing a corresponding alarm file when corresponding alarm operation is executed.
7. The big-data-management-based signal matching system of claim 4, wherein:
the alarm execution device is a display device and is used for displaying corresponding alarm characters when corresponding alarm operation is executed.
8. The big-data-management-based signal matching system of claim 4, further comprising:
and the alarm execution equipment is also used for stopping executing corresponding alarm operation when the normal pressure instruction is received.
9. The big-data-management-based signal matching system of claim 8, further comprising:
and the humidity sensing equipment is arranged on the left side of the signal identification equipment and is used for measuring the field humidity of the current position of the signal identification equipment.
10. The big-data-management-based signal matching system of claim 9, further comprising:
the parameter judgment device is connected with the humidity sensing device and used for sending a humidity alarm signal when the received field humidity exceeds the limit;
and the humidity analysis equipment is also used for sending a humidity reliable signal when the received field humidity is not over-limit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202010178866.7A CN113470245A (en) | 2020-03-15 | 2020-03-15 | Big data management-based signal matching system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010178866.7A CN113470245A (en) | 2020-03-15 | 2020-03-15 | Big data management-based signal matching system |
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| CN113470245A true CN113470245A (en) | 2021-10-01 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118025839A (en) * | 2024-03-01 | 2024-05-14 | 广州臻至于善网络科技有限公司 | Intelligent logistics management system based on honeycomb storage |
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2020
- 2020-03-15 CN CN202010178866.7A patent/CN113470245A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118025839A (en) * | 2024-03-01 | 2024-05-14 | 广州臻至于善网络科技有限公司 | Intelligent logistics management system based on honeycomb storage |
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Application publication date: 20211001 |
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