CN105015856A - Detection method for paper money shaping bundling - Google Patents
Detection method for paper money shaping bundling Download PDFInfo
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- CN105015856A CN105015856A CN201510304715.0A CN201510304715A CN105015856A CN 105015856 A CN105015856 A CN 105015856A CN 201510304715 A CN201510304715 A CN 201510304715A CN 105015856 A CN105015856 A CN 105015856A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
- B65B57/00—Automatic control, checking, warning, or safety devices
- B65B57/10—Automatic control, checking, warning, or safety devices responsive to absence, presence, abnormal feed, or misplacement of articles or materials to be packaged
- B65B57/14—Automatic control, checking, warning, or safety devices responsive to absence, presence, abnormal feed, or misplacement of articles or materials to be packaged and operating to control, or stop, the feed of articles or material to be packaged
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Abstract
The invention discloses a detection method for paper money shaping bundling. A 24 bit BMP format image is collected through a camera, and the image is sent to a control system; gray processing is conducted on image data through the control system, The image data are subjected to the gray processing that 24 bit image data are converted into 3-channel image data from 8-chnenl image data, and then the 3-channel data are converted into single-channel 256-color image data; binaryzation, morphological processing, corrosion expansion processing and eight neighborhood edge seeking processing are conducted on the image data to complete the seeking for white paper tape, after the binaryzation of the image is carried out, boundary tracking is conducted on the image, the external margin is extracted, and seal seeking processing is conducted within the area; before plastic package is carried out, a camera detection device conducts pre-detection through the detection method for paper money shaping bundling; and if the number is right, plastic package is conducted automatically, if the number is wrong, the plastic package is paused, alarming is sent out, therefore, further automation is achieved, and the problem of wrong number of paper money bundling is solved.
Description
Technical field
The present invention relates to bank note sizing and tie up method of inspection.
Background technology
In the circulation process of Renminbi, it is burdensome and elaboration in bank and other financial mechanism day to day operation work that thousand sheets bank note is packaged into a bundle; At present, conventional method has diesis strapping and plastic sealing pack method.Wherein, the mode of plastic sealing pack significantly can reduce and hinder coin rate, avoid taking out, improve bank note packaging quality and preserve quality, and be conducive in Renminbi logistics management, the equipment for bank note plastic sealing pack becomes study hotspot gradually
Application number be 200420015721.1 patent discloses a kind of Hot Srinking Film Bag Closer, be applicable to the occasion to carrying out package after thousand sheets bill binding, it is sent to by heat shrinkage film, and feeder, pressurization are molten cuts encapsulating mechanism and heat shrink case three parts take horizontal integrated structure to form, be positioned at the thermoplastic film material roller of upper rack and tensioning shaft and be positioned at the leftover bits and pieces winding roller of bottom and tensioning shaft composition heat shrinkage film sends feeder to, heat shrink case is set in bottom, and the molten cutting mechanism of pressurization is between thermoplastic film material roller and leftover bits and pieces winding roller.Doubling heat shrinkage film in motion through split shape director separately, depend on director side lead into, join at director end adhesion seam place, director be hollow structure, in establish propulsive mechanism, the paper money entered in director bundle being pushed into that pressurization is molten cuts the paper money bundle after encapsulating station, sealing through lifting mechanism and chain-type transmission by described propulsive mechanism
Band enters heat shrink case, forms the paper money bundle of heat shrinkage film encapsulating.Above-mentioned Hot Srinking Film Bag Closer's volume is little, compact conformation, easy and simple to handle, but this Hot Srinking Film Bag Closer is that what to have been tied up 10 is target paper money bundle, and the bank note from sorting bundling device after sorting is only hundred bill bindings, also separate operaton is needed for tying up of thousand sheets bill, this adds hand labor intensity undoubtedly, reduces the treatment effeciency of bank note.Need before plastic film total incapsulation first to carry out compression pre-wrapped to bank note, namely the film of wrapping up in advance compressing rear one fixed width is tied up, generally take paper money 10 flat vertical methods of folding, using hold-down mechanism upper-lower compacting at present, in general, this class formation all more complicated, also need after wrapping up in advance to carry out total incapsulation process again, operation inconvenience by after the upset of paper money bundle.In addition, lack the detection of 10 paper money bundle, easily occur omitting or unnecessary, for the follow-up sum checking bill makes troubles.
Summary of the invention
For above-mentioned technological deficiency, the present invention proposes bank note sizing binding apparatus.
In order to solve the problems of the technologies described above, technical scheme of the present invention is as follows:
Method of inspection is tied up in bank note sizing, comprises the steps:
1.1) collected by camera 24 BMP format-patterns, this image is sent to control system, control system carries out gray processing process to view data, described view data is carried out gray processing and is treated to that to change into 8 to 24 bit image data be 3 channel image data, then 3 passages is changed into single channel 256 color image data;
1.2) to view data binaryzation: by gray-scale map binaryzation, setting binary-state threshold, after image binaryzation process, the region lower than threshold value is set as 0;
1.3) Morphological scale-space corrosion expansion process: the module adopting 3*3, number of times is adjustable;
Corrosion: as long as eight points have a point to be that 0, A pixel value sets to 0 around pixel A;
Expand: as long as eight points have a point to be that 1, A pixel value puts 1 around pixel A;
1.4) eight neighborhood is looked for limit to process and is found white paper tape: except boundary point, in image, any point all has 8 points adjacent with it, namely eight neighborhood point is had, target setting point is an A, its upper left side point is 0 neighborhood point, then in the direction of the clock, its 8 neighborhood points are labeled as 0 neighborhood point respectively, 1 neighborhood point, 8 territory points, coordinate is followed successively by (-1, 1), (0, 1), (1, 1), (1, 0), (1,-1), (0,-1), (-1,-1), (-1, 0), indicate an A and the 8 neighborhood points putting B respectively, now, Y=(X+4) MOD 8,
After image binaryzation, then carry out frontier tracing to image, extract outward flange, step is as follows:
(1) determine initial point: traversing graph picture line by line, using first value traversed be the pixel of 1 as border initial point, be designated as p0;
(2) p0 is inserted border array, and be labeled as initial point, setting pointer p points to 0 neighborhood position of template, and to get p0 be object point, finds the target neighborhood point of p0;
(3) point to position with p to start, the next pixel finding object point is the point of 1, if do not find, then p clickwise position continues to search; If find, then this pixel is as the subsequent border point of current goal point, and inserts border array afterbody, and p left-hand revolution two positions;
(4) often walk all using the point of border array afterbody as object point, circulation step (3), until arrive border initial point later;
1.5) find seal process in region: the Renminbi tied up there will be one piece of white portion, in white portion, look for limit algorithm to find seal profile with eight fields, detect its size Sum fanction degree;
1.6) Output rusults: according to detection seal quantity, Output rusults, if export eligible, equipment is packed; If do not meet control machine break-off, alarm.
Further, also comprise seal locus computing step: the seal spatial coordinates (x, y) found is added up, profile coordinate is got average and is seal coordinate points, the seal that adjacent seal X-coordinate position is less than rmb paper currency thickness is put forward separately, gets rid of abnormal.
Beneficial effect of the present invention is: integral structure is simple, be directly pushed into paper money bale packing sealing mechanism station without the need to overturning, transmission efficiency is high, transmission is reliable, takes up room less, achieves to wrap up in advance, encapsulate integrated continuous working; Before plastic packaging, image pick-up detection device carries out preliminary examination by method of the present invention, if quantity correctly carries out plastic packaging automatically, if mistake appears in quantity, then suspends plastic packaging, and gives the alarm, thus automation more, solve the problem of tied note quantity mistake.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention;
Fig. 2 is image detection diagram of circuit;
Fig. 3 is 3*3 template schematic diagram;
Fig. 4 is eight neighborhood frontier tracing template schematic diagram.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention is described further.
As shown in Figure 1, bank note sizing binding apparatus, comprise the film-supplying device be arranged in machine box, hot melt, bonding and cutting device and image pick-up detection device, described film-supplying device comprises cylindric film roll 2, at machine box 1 top, camera support 4 is installed, camera support 4 arranges light supply apparatus 6 and the camera 5 of image pick-up detection device, plastic sheeting 3 is extracted out in film roll 2, space between camera support 4 and machine box 1 top, enter film roll after putting bank note frame thus form circulation, hot melt, bonding and cutting device are placed in above bank note frame for carrying out hot melt to plastic sheeting 3, bond and cut, described bank note frame both sides of putting are provided with spacing collating unit, for clamping spacing arrangement to bank note 7 both sides, described film-supplying device, hot melt, bond and to be connected with control setup with cutting device and image pick-up detection device and to control by it.
Described hot melt, bonding and cutting device comprise thermofusion device, are arranged on the bonder on thermofusion device top and are arranged on the cutting device of bonder, and described cutting device and thermofusion device link; Described thermofusion device top is provided with hot melt flat board, bonder is provided with top board, described top board is arranged on the rear side of plastic sheeting, containing heater strip in hot melt flat board, under cylinder promotes, hot melt flat board drives plastic sheeting to contact with described flat board, then heater strip transient heating molten plastic film 3, thus complete the hot melt of plastic sheeting and bond in the case; Described cutting device comprises telescopic cutter head, after completing hot melt and bonding, splits plastic sheeting.
The data acquisition that described light supply apparatus is camera provides light source, and described camera adopts micro-black and white industrial camera looking 130W pixel, and acquisition mode adopts hardware trigger (triggering line signal positive rise effective), and size is 24 BMP format-patterns of 1280*1024.
As shown in Figure 2, in order to carry out detection tied note quantity, after control setup receives view data, view data is handled as follows:
Image gray processing: first 24 bit images being changed into 8 to view data is 3 channel image, then 3 passages is changed into single channel 256 chromatic graph, (rgbBlue+ rgbGreen+rgbRed)/3;
Binaryzation: by gray-scale map binaryzation, the setting of binary-state threshold needs to make white portion and background realize good separation, and to make testing result more precise and stable, this just needs binary-state threshold can not be too high.Meanwhile, need to ensure continuous edge, then binary-state threshold can not be too low.Binary-state threshold setting 60, after image binaryzation process, the region lower than threshold value is set as 0, and wherein major part is background area;
Morphological scale-space corrosion expansion process: as shown in Figure 3, adopt the module of 3*3, number of times is adjustable
Corrosion: as long as eight points have a point to be that 0, A pixel value sets to 0 around pixel A;
Expand: as long as eight points have a point to be that 1, A pixel value puts 1 around pixel A;
Eight neighborhood is looked for limit to process and is found white paper tape: except boundary point, in image, any point all has 8 points adjacent with it, namely has eight neighborhood point.As shown in Figure 4.Target setting point is an A, and its upper left side point is 0 neighborhood point, then in the direction of the clock, its 8 neighborhood points be labeled as respectively 0 neighborhood point, 1 neighborhood point ..., 8 territory points, coordinate is followed successively by (-1,1), (0,1), (1,1), (1,0), (1 ,-1), (0,-1), (-1,-1), (-1,0), indicate respectively an A and some B 8 neighborhood points.
Obviously, two points of neighborhood point meet following rule each other: when an A is the X neighborhood point of a B, and some B necessarily puts the Y neighborhood point of A, now, and Y=(X+4) MOD 8.
Such as shown in Fig. 4, A is the 7 neighborhood points of B; Then B is the 3 neighborhood points of A.
After image binaryzation, suppose that background is 0, targeted graphical is 1, then can carry out frontier tracing to image, extract outward flange, step is as follows:
(1) initial point is determined.Traversing graph picture line by line, using first value traversed be the pixel of 1 as border initial point, be designated as p0;
(2) p0 is inserted border array, and be labeled as initial point, setting pointer p points to 0 neighborhood position of template, and to get p0 be object point, finds the target neighborhood point of p0;
(3) point to position with p to start, the next pixel finding object point is the point of 1, if do not find, then p clickwise position continues to search; If find, then this pixel is as the subsequent border point of current goal point, and inserts border array afterbody, and p left-hand revolution two positions;
(4) often walk all using the point of border array afterbody as object point, circulation step (3), until arrive border initial point later.
Above method can remember a upper target neighborhood point, and finding next object point is all need not search for eight neighborhood, shortens the frontier tracing time.
Seal process is found: look for limit algorithm to find seal profile with eight same fields in region.The brand-new Renminbi very rule of tying up, there will be one piece of white portion, for avoiding this white portion to have an impact to result, adding seal and searching: in white portion, finding seal profile, detects its size Sum fanction degree; Seal profile size is even, and rule, is conducive to searching identification, has higher identification, improves the reliability of testing result;
For avoiding flase drop, extra increase seal locus computing: to the seal spatial coordinates (x found, y) add up, profile coordinate is got average and is seal coordinate points, the seal adjacent seal X-coordinate position being less than 70 pixel values (this parameter is brand-new Renminbi thickness in the picture) puts forward separately, get rid of abnormal according to rule (front 5 seal Y-coordinate are close, and rear five impression Y-coordinate are close)
Output rusults: it is unit bundle and package that Plastic packaging cash bundling machine is all tied with ten, according to detection seal quantity, Output rusults, namely seal number is 10, and export OK, equipment is packed; Seal number is not 10, exports NG, thus controls film-supplying device, hot melt, bonding and cutting device break-off, and alarm staff checks that number pricked by Renminbi.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, without departing from the inventive concept of the premise; can also make some improvements and modifications, these improvements and modifications also should be considered as in scope.
Claims (2)
1. method of inspection is tied up in bank note sizing, it is characterized in that, comprises the steps:
1.1) collected by camera 24 BMP format-patterns, this image is sent to control system, control system carries out gray processing process to view data, described view data is carried out gray processing and is treated to that to change into 8 to 24 bit image data be 3 channel image data, then 3 passages is changed into single channel 256 color image data;
1.2) to view data binaryzation: by gray-scale map binaryzation, setting binary-state threshold, after image binaryzation process, the region lower than threshold value is set as 0;
1.3) Morphological scale-space corrosion expansion process: the module adopting 3*3, number of times is adjustable;
Corrosion: as long as eight points have a point to be that 0, A pixel value sets to 0 around pixel A;
Expand: as long as eight points have a point to be that 1, A pixel value puts 1 around pixel A;
1.4) eight neighborhood is looked for limit to process and is found white paper tape: except boundary point, in image, any point all has 8 points adjacent with it, namely eight neighborhood point is had, target setting point is an A, its upper left side point is 0 neighborhood point, then in the direction of the clock, its 8 neighborhood points are labeled as 0 neighborhood point respectively, 1 neighborhood point, 8 territory points, coordinate is followed successively by (-1, 1), (0, 1), (1, 1), (1, 0), (1,-1), (0,-1), (-1,-1), (-1, 0), indicate an A and the 8 neighborhood points putting B respectively, now, Y=(X+4) MOD 8,
After image binaryzation, then carry out frontier tracing to image, extract outward flange, step is as follows:
(1) determine initial point: traversing graph picture line by line, using first value traversed be the pixel of 1 as border initial point, be designated as p0;
(2) p0 is inserted border array, and be labeled as initial point, setting pointer p points to 0 neighborhood position of template, and to get p0 be object point, finds the target neighborhood point of p0;
(3) point to position with p to start, the next pixel finding object point is the point of 1, if do not find, then p clickwise position continues to search; If find, then this pixel is as the subsequent border point of current goal point, and inserts border array afterbody, and p left-hand revolution two positions;
(4) often walk all using the point of border array afterbody as object point, circulation step (3), until arrive border initial point later;
1.5) find seal process in region: the Renminbi tied up there will be one piece of white portion, in white portion, look for limit algorithm to find seal profile with eight fields, detect its size Sum fanction degree;
1.6) Output rusults: according to detection seal quantity, Output rusults, if export eligible, equipment is packed; If do not meet control machine break-off, alarm.
2. method of inspection is tied up in bank note sizing according to claim 1, it is characterized in that, also comprise seal locus computing step: to the seal spatial coordinates (x found, y) add up, profile coordinate is got average and is seal coordinate points, the seal that adjacent seal X-coordinate position is less than rmb paper currency thickness is put forward separately, gets rid of abnormal.
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| CN104259110A (en) * | 2014-09-26 | 2015-01-07 | 浙江大学台州研究院 | Detection method of ceramic valve element |
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2015
- 2015-06-04 CN CN201510304715.0A patent/CN105015856B/en active Active
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| WO2009066297A2 (en) * | 2007-11-21 | 2009-05-28 | Ioimage Ltd. | A method of verifying the contents of bundles of paper currency |
| WO2009066297A3 (en) * | 2007-11-21 | 2010-03-11 | Ioimage Ltd. | A method of verifying the contents of bundles of paper currency |
| CN101625778A (en) * | 2009-08-10 | 2010-01-13 | 深圳捷佳德现金自动化处理设备有限公司 | Automatic bundled money receipt and payment system |
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| CN203727746U (en) * | 2014-02-19 | 2014-07-23 | 杨承然 | Camera-counting paper currency packing device |
| CN203727747U (en) * | 2014-02-19 | 2014-07-23 | 杨承然 | Paper currency packing and thermal-shrinking furnace with bundle counting function |
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