CN106780958B - Method and device for detecting the crossing of a banknote in the detection range of a thickness sensor - Google Patents
Method and device for detecting the crossing of a banknote in the detection range of a thickness sensor Download PDFInfo
- Publication number
- CN106780958B CN106780958B CN201611121455.4A CN201611121455A CN106780958B CN 106780958 B CN106780958 B CN 106780958B CN 201611121455 A CN201611121455 A CN 201611121455A CN 106780958 B CN106780958 B CN 106780958B
- Authority
- CN
- China
- Prior art keywords
- paper money
- channel
- detection range
- thickness
- detection
- 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.)
- Expired - Fee Related
Links
Images
Classifications
-
- 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
- G07D7/16—Testing the dimensions
- G07D7/164—Thickness
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
- Testing Of Coins (AREA)
Abstract
The invention discloses a method and a device for detecting the border crossing of paper money in the detection range of a thickness sensor. The method comprises the following steps: judging whether four angular points of the paper money in the paper money passing channel are completely in the detection range of the thickness sensor; if not, acquiring the position of the thickness data in the detection range of the thickness sensor; and judging the out-of-range position of the paper money on the detection range of the thickness sensor according to the position of the thickness data. The invention can judge the out-of-range condition of the paper money on the detection range of the thickness sensor before calculating the thickness detection related algorithm of the paper money, and avoids the waste of time caused by calculating abnormal data.
Description
Technical Field
The invention relates to the technical field of paper money thickness detection, in particular to a method and a device for detecting that paper money is out of range in the detection range of a thickness sensor.
Background
In a self-service teller machine and a paper currency sorter, thickness detection of paper currency is a necessary function, and adhesive tapes, folding angles and the like adhered to the paper currency can be identified through the thickness characteristics of the paper currency, so that unqualified paper currency is removed. Since the tape may be stuck anywhere on the banknote, the thickness measurement must be able to cover the entire banknote.
Because the width of the paper money passing channel of the paper money is larger than the detection width of the thickness sensor, the paper money can deviate after entering the paper money passing channel. In the thickness algorithm, a machine needs to process thickness data acquired by a thickness sensor, and the prior art cannot judge whether paper money is completely in the detection range of the thickness sensor before processing, so that relevant operation can be performed on all the thickness data, and if the paper money is out of range, the operation is abnormal, so that time waste can be caused. Therefore, it is necessary to determine whether or not the banknote is out of bounds before performing the correlation calculation of the thickness data.
Disclosure of Invention
The invention aims to provide a method and a device for detecting the boundary crossing of paper money on the detection range of a thickness sensor, which are used for judging the boundary crossing condition of the paper money on the detection range of the thickness sensor before the calculation of the thickness correlation algorithm of the paper money.
In order to achieve the purpose, the invention adopts the following technical scheme:
in one aspect, the present invention provides a method of detecting a banknote out of range over a detection range of a thickness sensor, comprising:
judging whether four angular points of the paper money in the paper money passing channel are completely in the detection range of the thickness sensor;
if not, acquiring the position of the thickness data in the detection range of the thickness sensor;
and judging the out-of-range position of the paper money on the detection range of the thickness sensor according to the position of the thickness data.
Wherein, the position of the thickness data appearing in the detection range of the thickness sensor is obtained, and the method comprises the following steps:
dividing the detection range of the thickness sensor into a plurality of parallel detection channels, wherein the detection channels comprise a first channel close to a first boundary of the detection range, a second channel close to a second boundary of the detection range and a plurality of third channels between the first channel and the second channel, and the widths of the first channel, the second channel and the third channels are the same;
and acquiring a detection channel where the thickness data appear as a position where the thickness data appear.
Wherein, judging the out-of-range position of the paper money on the detection range of the thickness sensor according to the position of the thickness data, comprises:
when the number of the detection channels with the thickness data is less than the number of the channels which are occupied by the width of the paper money, if the thickness data appears in the first channel, the paper money is out of bounds at the first boundary of the detection range, and if the thickness data appears in the second channel, the paper money is out of bounds at the second boundary of the detection range.
The method for judging whether four angular points of paper money in the paper money passing channel are completely in the detection range of the thickness sensor comprises the following steps:
acquiring an image of paper money in a paper money conveying channel;
determining the positions of four corner points of the paper money through image recognition;
and judging whether the four corner points are completely in the detection range of the thickness sensor.
In another aspect, the present invention provides an apparatus for detecting that a bill is out of range on a detection range of a thickness sensor, comprising:
the angular point position judging module is used for judging whether four angular points of the paper money in the paper money feeding channel are completely in the detection range of the thickness sensor;
the thickness data acquisition module is used for acquiring the position of thickness data in the detection range of the thickness sensor when four corner points of paper money in the paper money walking channel are not completely in the detection range of the thickness sensor;
and the boundary crossing position determining module is used for judging the boundary crossing position of the paper money on the detection range of the thickness sensor according to the position of the thickness data.
Wherein the thickness data acquisition module is specifically configured to:
dividing the detection range of the thickness sensor into a plurality of parallel detection channels, wherein the detection channels comprise a first channel close to a first boundary of the detection range, a second channel close to a second boundary of the detection range and a plurality of third channels between the first channel and the second channel, and the widths of the first channel, the second channel and the third channels are the same;
and acquiring a detection channel where the thickness data appear as a position where the thickness data appear.
Wherein the out-of-range position determination module is specifically configured to:
and when the number of the detection channels with the thickness data is less than the number of channels which are occupied by the width of the paper money, if the thickness data appears in the first channel, determining that the paper money is out of bounds at a first boundary of the detection range, and if the thickness data appears in the second channel, determining that the paper money is out of bounds at a second boundary of the detection range.
The corner position determining module is specifically configured to:
acquiring an image of paper money in a paper money conveying channel;
determining the positions of four corner points of the paper money through image recognition;
and judging whether the four corner points are completely in the detection range of the thickness sensor.
The invention has the beneficial effects that:
under the condition that four corner points of paper money in the paper money conveying channel are not completely positioned in the detection range of the thickness sensor, the position of thickness data in the detection range of the thickness sensor is obtained, and the position of the paper money out of range on the detection range of the thickness sensor is judged according to the position of the thickness data. The invention can judge the out-of-range condition of the paper money on the detection range of the thickness sensor before calculating the thickness detection related algorithm of the paper money, and avoids the waste of time caused by calculating abnormal data.
Drawings
FIG. 1 is a flowchart of a method for detecting a paper currency crossing a boundary of a detection range of a thickness sensor according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a device for detecting that a banknote is out of range on a detection range of a thickness sensor according to a third embodiment of the present invention.
Detailed Description
In order to make the technical problems solved, technical solutions adopted and technical effects achieved by the present invention clearer, the technical solutions of the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments.
Example one
The embodiment provides a method for detecting the border crossing of paper money in the detection range of a thickness sensor, which is suitable for border crossing abnormity examination before the thickness of the paper money is detected by various self-service teller machines, paper money sorting machines and the like. The method is generally carried out by a device for detecting the crossing of a banknote over the detection range of a thickness sensor, implemented in software and/or hardware, generally integrated in various types of banknote checking apparatuses.
FIG. 1 is a flowchart of a method for detecting a paper currency crossing a boundary of a detection range of a thickness sensor according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
and S11, judging whether the four corner points of the paper money in the paper money passing channel are completely in the detection range of the thickness sensor, if so, normally performing thickness detection, and if not, executing the step S12.
Acquiring an image of paper money in the paper money passing channel in a mode including but not limited to image scanning, infrared light transmission and the like; identifying the acquired image, and determining the positions of four corner points of the paper money in the modes of image identification and the like, wherein the four corner points are the vertexes of four corners of the paper money; and judging whether the four corner points are completely in the detection range of the thickness sensor.
And S12, acquiring the position of the thickness data in the detection range of the thickness sensor.
The detection range of the thickness sensor is determined by the effective detection range of the thickness sensor in the currency detection equipment. The thickness sensor acquires the thickness data of the paper money in the paper money conveying channel and feeds back the position where the thickness data appears.
The detection range of the thickness sensor is divided into a plurality of parallel detection channels, the detection channels comprise a first channel close to a first boundary of the detection range, a second channel close to a second boundary of the detection range and a plurality of third channels between the first channel and the second channel, and the widths of the first channel, the second channel and the third channels are the same.
And acquiring a detection channel for the thickness data as the position where the thickness data appears, namely the position where the paper money appears.
For example, the detection range of the thickness sensor is averagely divided into 10 detection channels, the first channel is the channel No. 1 channel close to the left boundary of the detection range, the second channel is the channel No. 10 channel close to the right boundary of the detection range, the third channel is the channel No. 2 to 9, and which detection channels for detecting the thickness data are respectively determined as the positions where the thickness data appear.
And S13, judging the position of the paper money out of range on the detection range of the thickness sensor according to the position of the thickness data.
When the number of the detection channels with the thickness data is less than the number of the channels which are occupied by the width of the paper money, if the thickness data appears in the first channel, the paper money is out of bounds at the first boundary of the detection range, and if the thickness data appears in the second channel, the paper money is out of bounds at the second boundary of the detection range.
For example, if the number of channels to be occupied by the width of a 100-yuan RMB is 8, if the channels with thickness data are channels 1 to 7, that is, the number of detection channels with thickness data is less than 8, it indicates that the banknote is out of bounds on the detection range of the thickness sensor, and at this time, the channel 1 has thickness data, it can be determined that the banknote is out of bounds on the left boundary of the detection range, that is, the banknote is out of the left boundary of the detection range.
And determining that the paper money is out of range on the detection range of the thickness sensor, and determining the out-of-range position, so that subsequent calculation of a thickness detection related algorithm is not required, or corresponding calculation adjustment is made according to the out-of-range result.
And S14, normally performing thickness detection.
And if it is determined through image recognition that the four corner points of the paper money in the paper money passing channel are completely in the detection range of the thickness sensor, performing subsequent thickness detection calculation.
According to the embodiment, the out-of-range condition of the paper money on the detection range of the thickness sensor can be judged before the calculation of the thickness detection related algorithm of the paper money is carried out, and the waste of time caused by the calculation of abnormal data is avoided. The position of the boundary crossing can be accurately judged, the debugging is convenient, and the recognition rate of the thickness detection related algorithm is improved.
Example two
The present embodiment provides a device for detecting that a banknote is out of range in a detection range of a thickness sensor, which is used for implementing the method described in the above embodiments, solving the same technical problems and achieving the same technical effects, and is generally integrated in various banknote detection devices, such as a self-service teller machine, a banknote sorter, and the like.
Fig. 2 is a schematic structural diagram of a device for detecting that a banknote is out of range on a detection range of a thickness sensor according to a third embodiment of the present invention. As shown in fig. 2, the apparatus includes: a corner position judging module 21, a thickness data acquiring module 22 and an out-of-range position determining module 23.
And the angular point position judging module 21 is configured to judge whether four angular points of the banknote in the banknote passing channel are completely within a detection range of the thickness sensor.
And the thickness data acquisition module 22 is used for acquiring the position of the thickness data within the detection range of the thickness sensor when the four corners of the paper money in the paper money passing channel are not completely within the detection range of the thickness sensor.
And the boundary crossing position determining module 23 is used for judging the boundary crossing position of the paper money on the detection range of the thickness sensor according to the position of the thickness data.
The thickness data obtaining module 22 is specifically configured to:
dividing the detection range of the thickness sensor into a plurality of parallel detection channels, wherein the detection channels comprise a first channel close to a first boundary of the detection range, a second channel close to a second boundary of the detection range and a plurality of third channels between the first channel and the second channel, and the widths of the first channel, the second channel and the third channels are the same; and acquiring a detection channel where the thickness data appear as a position where the thickness data appear.
The out-of-range position determining module 23 is specifically configured to:
and when the number of the detection channels with the thickness data is less than the number of channels which are occupied by the width of the paper money, if the thickness data appears in the first channel, determining that the paper money is out of bounds at a first boundary of the detection range, and if the thickness data appears in the second channel, determining that the paper money is out of bounds at a second boundary of the detection range.
The corner position determining module 21 is specifically configured to:
acquiring an image of paper money in a paper money conveying channel; determining the positions of four corner points of the paper money through image recognition; and judging whether the four corner points are completely in the detection range of the thickness sensor.
The device of the embodiment can judge the out-of-range condition of the paper money on the detection range of the thickness sensor before calculating the thickness detection related algorithm of the paper money, and avoids time waste caused by calculating abnormal data. The position of the boundary crossing can be accurately judged, the debugging is convenient, and the recognition rate of the thickness detection related algorithm is improved.
The technical principle of the present invention is described above in connection with specific embodiments. The description is made for the purpose of illustrating the principles of the invention and should not be construed in any way as limiting the scope of the invention. Based on the explanations herein, those skilled in the art will be able to conceive of other embodiments of the present invention without inventive effort, which would fall within the scope of the present invention.
Claims (4)
1. A method of detecting the crossing of a banknote over the detection range of a thickness sensor, comprising:
judging whether four angular points of the paper money in the paper money passing channel are completely in the detection range of the thickness sensor;
if not, dividing the detection range of the thickness sensor into a plurality of parallel detection channels, wherein the detection channels further comprise a first channel close to a first boundary of the detection range and a second channel close to a second boundary of the detection range, and the detection channels further comprise a plurality of third channels between the first channel and the second channel, the widths of the first channel, the second channel and the third channels are the same, and acquiring the detection channels with thickness data as positions where the thickness data appear;
when the number of the detection channels with the thickness data is less than the number of the channels which are occupied by the width of the paper money, if the thickness data appears in the first channel, the paper money is out of bounds at the first boundary of the detection range, and if the thickness data appears in the second channel, the paper money is out of bounds at the second boundary of the detection range.
2. The method as claimed in claim 1, wherein the step of determining whether four corner points of the banknote in the banknote passing path are completely within the detection range of the thickness sensor comprises the steps of:
acquiring an image of paper money in a paper money conveying channel;
determining the positions of four corner points of the paper money through image recognition;
and judging whether the four corner points are completely in the detection range of the thickness sensor.
3. An apparatus for detecting a paper money out of range in a detection range of a thickness sensor, comprising:
the angular point position judging module is used for judging whether four angular points of the paper money in the paper money feeding channel are completely in the detection range of the thickness sensor;
the thickness data acquisition module is used for dividing the detection range of the thickness sensor into a plurality of parallel detection channels when four corner points of paper money in the paper money conveying channel are not completely positioned in the detection range of the thickness sensor, wherein the detection channels comprise a first channel close to a first boundary of the detection range and a second channel close to a second boundary of the detection range, the detection channels also comprise a plurality of third channels between the first channel and the second channel, the widths of the first channel, the second channel and the third channel are the same, and the detection channels with thickness data are acquired and used as positions where the thickness data appear;
the border crossing position determining module is used for judging whether the number of the detection channels with the thickness data is less than the number of the channels occupied by the width of the paper money: and if the thickness data appear in the first channel, determining that the paper money is out of bounds at a first boundary of the detection range, and if the thickness data appear in the second channel, determining that the paper money is out of bounds at a second boundary of the detection range.
4. The apparatus according to claim 3, wherein the corner position determining module is specifically configured to:
acquiring an image of paper money in a paper money conveying channel;
determining the positions of four corner points of the paper money through image recognition;
and judging whether the four corner points are completely in the detection range of the thickness sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611121455.4A CN106780958B (en) | 2016-12-08 | 2016-12-08 | Method and device for detecting the crossing of a banknote in the detection range of a thickness sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611121455.4A CN106780958B (en) | 2016-12-08 | 2016-12-08 | Method and device for detecting the crossing of a banknote in the detection range of a thickness sensor |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106780958A CN106780958A (en) | 2017-05-31 |
| CN106780958B true CN106780958B (en) | 2020-09-15 |
Family
ID=58881769
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611121455.4A Expired - Fee Related CN106780958B (en) | 2016-12-08 | 2016-12-08 | Method and device for detecting the crossing of a banknote in the detection range of a thickness sensor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106780958B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108257285A (en) * | 2018-01-15 | 2018-07-06 | 深圳怡化电脑股份有限公司 | A kind of data processing method of thickness transducer, device, banknote tester and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0973572A (en) * | 1995-09-01 | 1997-03-18 | Oki Electric Ind Co Ltd | Paper money discrimination method |
| JP2005242748A (en) * | 2004-02-27 | 2005-09-08 | Oki Electric Ind Co Ltd | Medium recognition apparatus |
| JP2006085443A (en) * | 2004-09-16 | 2006-03-30 | Oki Electric Ind Co Ltd | Paper sheet handling device, paper sheet discrimination method used for the same and automatic transaction device |
| CN101788280A (en) * | 2010-02-11 | 2010-07-28 | 浙江金利电子有限公司 | Device for identifying banknote thickness abnormity through ultrasonic wave and method thereof |
| CN105006062A (en) * | 2015-07-29 | 2015-10-28 | 深圳怡化电脑股份有限公司 | Bill identification method and deposit and withdrawal device |
| CN105046805A (en) * | 2015-08-07 | 2015-11-11 | 新达通科技股份有限公司 | Banknote thickness detection device and calibration method |
| CN105354913A (en) * | 2015-09-14 | 2016-02-24 | 深圳怡化电脑股份有限公司 | Method and device of banknote detection |
| CN106203451A (en) * | 2016-07-14 | 2016-12-07 | 深圳市唯特视科技有限公司 | A kind of image area characteristics extracts and the method for characteristic matching |
| CN106204893A (en) * | 2016-08-10 | 2016-12-07 | 恒银金融科技股份有限公司 | Paper currency detection method based on support vector machine |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3693993B2 (en) * | 2002-01-28 | 2005-09-14 | 日立オムロンターミナルソリューションズ株式会社 | Paper sheet confirmation device |
| US20050041111A1 (en) * | 2003-07-31 | 2005-02-24 | Miki Matsuoka | Frame adjustment device and image-taking device and printing device |
-
2016
- 2016-12-08 CN CN201611121455.4A patent/CN106780958B/en not_active Expired - Fee Related
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0973572A (en) * | 1995-09-01 | 1997-03-18 | Oki Electric Ind Co Ltd | Paper money discrimination method |
| JP2005242748A (en) * | 2004-02-27 | 2005-09-08 | Oki Electric Ind Co Ltd | Medium recognition apparatus |
| JP2006085443A (en) * | 2004-09-16 | 2006-03-30 | Oki Electric Ind Co Ltd | Paper sheet handling device, paper sheet discrimination method used for the same and automatic transaction device |
| CN101788280A (en) * | 2010-02-11 | 2010-07-28 | 浙江金利电子有限公司 | Device for identifying banknote thickness abnormity through ultrasonic wave and method thereof |
| CN105006062A (en) * | 2015-07-29 | 2015-10-28 | 深圳怡化电脑股份有限公司 | Bill identification method and deposit and withdrawal device |
| CN105046805A (en) * | 2015-08-07 | 2015-11-11 | 新达通科技股份有限公司 | Banknote thickness detection device and calibration method |
| CN105354913A (en) * | 2015-09-14 | 2016-02-24 | 深圳怡化电脑股份有限公司 | Method and device of banknote detection |
| CN106203451A (en) * | 2016-07-14 | 2016-12-07 | 深圳市唯特视科技有限公司 | A kind of image area characteristics extracts and the method for characteristic matching |
| CN106204893A (en) * | 2016-08-10 | 2016-12-07 | 恒银金融科技股份有限公司 | Paper currency detection method based on support vector machine |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106780958A (en) | 2017-05-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10150633B2 (en) | System and method for metallic object detection in a media transport system | |
| US10486929B2 (en) | System and method for metallic object detection in a media transport system | |
| CN104408819B (en) | A kind of detection method of bank note adhesive tape | |
| CN107481393B (en) | A kind of detection method for splicing bill and the detection device for splicing bill | |
| RU2678493C1 (en) | Method and device for detection the tear of a banknote | |
| US9260261B2 (en) | Audio detection of medium jam | |
| CN106875540B (en) | Paper money thickness abnormity detection method and device | |
| EP3723054B1 (en) | Banknote recognition unit, banknote handling device, and banknote recognition method | |
| CN105354913A (en) | Method and device of banknote detection | |
| WO2016088279A1 (en) | Paper sheet thickness determination method and thickness determination device | |
| CN106780958B (en) | Method and device for detecting the crossing of a banknote in the detection range of a thickness sensor | |
| CN107978062B (en) | Method and device for detecting adhesive tape money | |
| US10150632B2 (en) | System and method for metallic object detection in a media transport system | |
| CN108492443B (en) | Method, device and equipment for detecting adhesive tape on paper money and storage medium | |
| EP3606019B1 (en) | System and method for metallic object detection in a media transport system | |
| JP6013232B2 (en) | Image reading apparatus and paper sheet processing apparatus | |
| CN108665604B (en) | Method and device for detecting new and old grades of paper money | |
| CN108010184B (en) | Method and device for detecting paper currency folding angle | |
| US10347069B2 (en) | Apparatus, method and assembly for checking value documents, in particular bank notes, and value-document processing system | |
| KR20170033492A (en) | Banknote processing device and control method thereof | |
| CN108694770B (en) | Method and device for detecting adhesive tape money | |
| CN114742986A (en) | Method, system, equipment and storage medium for detecting altered coins | |
| JP5823215B2 (en) | Ultrasonic detection apparatus and paper sheet processing apparatus provided with ultrasonic detection apparatus |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200915 Termination date: 20211208 |