CN102183526A - Small Renminbi machine inspection off-line re-inspection system - Google Patents
Small Renminbi machine inspection off-line re-inspection system Download PDFInfo
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- CN102183526A CN102183526A CN201110075909XA CN201110075909A CN102183526A CN 102183526 A CN102183526 A CN 102183526A CN 201110075909X A CN201110075909X A CN 201110075909XA CN 201110075909 A CN201110075909 A CN 201110075909A CN 102183526 A CN102183526 A CN 102183526A
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Abstract
The invention discloses a small Renminbi machine inspection off-line re-inspection system, which comprises an image and inspection data receiving and storing device, an image data processing system and a processing result leading-out device. The inspected rejected note image and inspection data are transmitted to the image and inspection data storing device by a network rapid image transmission technology (Hydra high-speed transmission), then, the image data processing system performs off-line re-inspection on defective parts of the notes wrongly rejected by various reasons through different inspection algorithms in different inspection conditions, the processing result leading-out device leads out the processing result, namely recording numbers of the fine and defective products, and then, the fine and defective products are separated and rejected. The system provided by the invention can pick out the wrongly rejected products from the rejected products, so that, wrong rejection of products is reduced, production efficiency is greatly improved, and simultaneously, cost consumption is also reduced.
Description
Technical field
The present invention relates to print detection system, relate in particular to the on-line detecting system of Xiao Zhang's Renminbi printing defects, promptly to carry out the off-line secondary check through the waste product after the online detection, the product that will by mistake give up in waste product is chosen.
Background technology
In seal paper money enterprise, the product after the printing is carried out quality testing, prevent that the product inflow society of printing defects from being last procedure.Along with development of technology, adopted online machine examination equipment such as Xiao Zhang's cleaning-sorting machine to replace manually product being detected substantially.
Because machine examination device rates such as Xiao Zhang's cleaning-sorting machine can reach 40/second, efficient is very high, but because it detects principle is to compare with standard form after the product of every process is taken pictures, only 20 milliseconds of the judgement times of every product, thereby the mistake waste of generation some, be about to up-to-standard products and be judged to be defective and the rejecting destruction, the mistake waste is more than several times of substandard product often, cause a large amount of wastes.During the online detection of machine examination equipment such as Xiao Zhang's cleaning-sorting machine, mainly due to detection speed is very fast, the processing time is limited and template data deficiency etc. is former thereby more mistake waste occurred.
Wherein the mistake that causes as the small size defective is given up: such as pore, small size printing ink, gravure point, offset printing point etc., during online detection, because the processing time is limited, can not very accurate survey area, and in order to guarantee that seriously leaking useless is zero, and reach the requirement of the useless rate of general leakage, so the setting of online detection waste product testing conditions is as strict as possible, cause more mistake to be given up.
Useless for the mistake that reduces the Renminbi product, save production cost, improve the benefit of enterprise, need improve existing Xiao Zhang's cleaning-sorting machine machine examination equipment.
Summary of the invention
Deficiency at the prior art existence, the object of the present invention is to provide a kind of Xiao Zhang's Renminbi machine examination off-line to recheck system, online machine examination equipment such as native system and Xiao Zhang's cleaning-sorting machine are used, adopt images off-line check technology, reduce the useless rate of detection mistake of Renminbi product, promote production efficiency significantly, also reduced cost consumption simultaneously.
The technical scheme that realizes objects of the present invention is as follows:
At first, just cause mistake situation useless and that can check to mainly contain following three major types at present:
1, paper defects and ink dot: this is a key factor that causes product mistake useless, the mistake that is caused by this factor is useless account for whole mistake useless about 40%.
2, the mistake that causes of offset printing mass colour fluctuation is useless: the fluctuation of offset printing mass colour is very big to the influence of machine examination Equipment Inspection, often causes the mistake of continuous large-tonnage product useless.
3, the bite mistake that causes of offset printing is useless: owing to worry to leak useless, the template threshold value can not be provided with excessive, can cause that so a large amount of continuous waste products of small size offset printing is detected.
System of the present invention is primarily aimed at above-mentioned three classes mistake waste, rechecks system by the secondary off-line, the number of record mistake waste, and the On-line Product that will by mistake give up by machine examination equipment once more detects fast.Be specially:
A kind of Xiao Zhang's Renminbi machine examination off-line is rechecked system, comprise image and detect data memory device, image data processing system, derive the result device, by network rapid image tranmission techniques invalidated ticket image and the detection data that detect are sent to image and detect data memory device, useless by image data processing system then to the mistake that causes because of the fluctuation of offset printing mass colour, the mistake that the ink dot defective causes useless different testing conditions and the detection algorithm of carrying out respectively of mistake useless and that the scarce seal of offset printing causes carries out the off-line reinspection to defective position, after rechecking, derive the result device and derive result, promptly noted the number of bad product, carried out the branch storehouse by online mode then and reject.
1) mistake that causes of offset printing mass colour fluctuation is useless
Because it is a gradual process that the offset printing mass colour changes, in the offline inspection process, detection algorithm is according to calculating the R passage respectively, the G passage, the average of B passage and with standard drawing relatively, thereby the product of the flase drop that will cause owing to the fluctuation of offset printing mass colour detects.
2) ink dot defective mistake is useless
Because the ultimate principle of all real time detection algorithm is template ratios at present, this mode can not effectively be discerned the defective and the spot defect of gravure set-off, in order accurately to detect the defective of gravure set-off type, can cause the suitable spot defect flase drop of a large amount of sizes.In order can to classify and to differentiate to various spot defects, need carry out the identification of various dimensions from the area of defective, shape etc., the product of this part flase drop is detected.
3) it is useless that offset printing lacks the seal mistake
Because the cause that paper comes unstuck, the continuous calcellation of offset printing is many, and a lot of continuous waste products of offset printing do not reach the calcellation standard, but owing to worry that leakage is useless, the template yardstick can not loosen, and can cause that so a large amount of continuous waste products of small size offset printing is detected.These undersized scarce seals are according to the position at its place and vary in size, and can take filtering and area, and the method for signature analysises such as shape detects the product of this part flase drop.
After off-line was rechecked r of s, system can note the number of bad product; Carrying out the branch storehouse by online mode then rejects.Online rejecting process detects a banknote according to original online detection algorithm, again to guarantee not produce serious payment omitted rate.
In addition, be printed on serial number for the banknote front, reverse side does not have the characteristics of serial number.After rechecking r of s through secondary off-line of the present invention, the back side is judged to the useless product of mistake when online rejecting for the second time, beyond all recognition problem.Can pass through when for the first time original online detection instrument detects, bad if banknote has one side to be judged to, then preserve two images of pros and cons simultaneously, when making things convenient for offline review, write down the number of the back side for the useless product of mistake, when online rejecting for the second time, reject it.
Xiao Zhang's Renminbi machine examination off-line reinspection of the present invention system is by in the online testing process, bad banknote image of preserving and detection data thereof are carried out off-line and are checked, reassign testing conditions and detection algorithm the off-line emphasis recheck is carried out at defective position, find out mistake waste and detecting, because the sufficient processing time is arranged, defective is carried out meticulous differentiation, thereby effectively reduce the useless rate of mistake of machine examination product.The product that system of the present invention will give up in waste product is by mistake chosen, thereby the mistake that reduces product is useless.Promote production efficiency significantly, also reduced cost consumption simultaneously.Along with improving constantly of turnout, then productivity effect can growing improve.
Description of drawings
Fig. 1 rechecks system schematic for Xiao Zhang's Renminbi machine examination off-line of the present invention;
Fig. 2 collects defect type stage off-line system process flow diagram for the present invention;
Fig. 3 is an off-line operation stage off-line system process flow diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing 1-Fig. 3, further specify implementation procedure of the present invention.
As shown in Figure 1, Xiao Zhang's Renminbi machine examination off-line reinspection system comprises image and detects Data Receiving and storage device, image data processing system and derivation result device.By network rapid image tranmission techniques (Hydra high-speed transfer) invalidated ticket image and the detection data that detect are sent to image and detect data memory device, useless different testing conditions and the detection algorithm of carrying out of the mistake that a variety of causes is caused by image data processing system carries out off-line to defective position and rechecks then, after rechecking, derive the result device and derive result, promptly noted the number of bad product, carried out the branch storehouse by online mode then and reject.
At the shortcoming of standard form comparison method in the machine examination equipment such as Xiao Zhang's cleaning-sorting machine, and the concentrated relatively characteristics of bank note defective, Xiao Zhang's Renminbi machine examination off-line reinspection system has adopted the method for setting up the defect type storehouse, and system divides following two stages:
1, collects the defect type stage
Collect the defect type stage and utilize the online defect coordinate information of sending, adopt algorithm to analyze in more detail the defective in the picture, and income defect type storehouse, corresponding algorithm parameter and result write down.The good bad product of artificial cognition generates criterion according to good product simultaneously, and system is according to defect coordinate in the offline inspection process, and information such as rgb value are sought corresponding type from the defect type storehouse, judged bad product thus.Idiographic flow as shown in Figure 2.
2, the off-line operation stage
When defect type is collected can comprise various defective substantially the time, system begins formally to enter the off-line operation stage, in this stage, the defective similar to current defect type mated in system from the defect type storehouse, and utilize its algorithm parameter to calculate, judged bad product thus, idiographic flow as shown in Figure 3.
The algorithm that more every kind of defect type is adopted is elaborated below.
1, the mistake that causes of offset printing mass colour fluctuation is useless
It is a gradual process that the offset printing mass colour changes, and is to exceed good product certain scope and then be bad product in certain scope.With the fluctuation of mass colour shown in the form 1 defective is example, 1-1 is the subgraph (supposing that following all figure have only a kind of defective) of good product, 1-2,1-3,1-4 is respectively the subgraph of other three products, the product quality is unknown, collecting the defect type stage, detection algorithm is at first according to the online coordinate of sending, and area information calculates and goes coupling in the defect type storehouse, if there is not qualified information, then calculate its R passage respectively, G passage, B passage average, and compare with the RGB average of standard drawing (with first in current batch as standard drawing) respective regions, the difference that calculates deposits the defect type storehouse in.In the off-line operation stage, 1-2,1-3,1-4 detect the 1-1RGB average in the defect type storehouse close, so it is judged to product.
Form 1 offset printing mass colour fluctuation example
2, ink dot defective mistake is useless
At spot defect, the offline inspection algorithm at first extracts at first by extracting R, G, B, R-G, R-G-B, H, L, passages such as S calculate the area size of defective then, are example with spot defect shown in the form 2,2-1 adopts above-mentioned algorithm computation to go out the area of defective, and preserves algorithm parameter, 2-2,2-3,2-4,2-5 search close with the 2-1 color in the defect type storehouse, so the algorithm parameter that adopts 2-1 to preserve, shown in table, the area that calculates is more accurate.
Form 2 gravure spot defect examples
Gravure set-off defective is that a pile area is little, many and the point-like group that concentrate relatively of number, and great majority appear at several specific regions of bank note, gravure set-off defective all is considered as bad product mostly, detection algorithm uses the rectangle frame of 20*20 size to slide in several specific zones, if the number of defective is above the number of appointment in the frame with following the identical method of spot defect to calculate the number of defective, then being considered as bad product, is example with set-off shown in the form 3.
Form 3 gravure set-off defective examples
3, it is useless that offset printing lacks the seal mistake
It is similar with the spot defect method that offset printing lacks the seal defect characteristic, and different is because it is not obvious with the background contrast to lack the seal defective, and algorithm needs at first carry out pre-service by methods such as filtering, and to print defective be example with scarce in the form 4.
Form 4 offset printings lack seal defective example
After off-line was rechecked r of s, system can note the number of bad product; Carrying out the branch storehouse by online mode then rejects.Online rejecting process detects a banknote according to original online detection algorithm, again to guarantee not produce serious payment omitted rate.
During online production, will detect the uncollectible notes image by network rapid image tranmission techniques and be sent to reinspection of the present invention system and carry out secondary and recheck.This mode can be saved time, and after original online detection finished, secondary was rechecked also and finished substantially, can at once waste product be dropped into secondary rapidly after a car production finishes and recheck.
Claims (6)
1. Xiao Zhang's Renminbi machine examination off-line is rechecked system, comprise image and detect data memory device, image data processing system, derive the result device, it is characterized in that: invalidated ticket image and the detection data that detect are sent to image and detect data memory device by network rapid image tranmission techniques, useless by image data processing system then to the mistake that causes because of the fluctuation of offset printing mass colour, the mistake that the ink dot defective causes useless different testing conditions and the detection algorithm of carrying out respectively of mistake useless and that the scarce seal of offset printing causes carries out the off-line reinspection to defective position, after rechecking, derive the result device and derive result, promptly noted the number of bad product, carried out the branch storehouse by online mode then and reject.
2. a kind of Xiao Zhang's Renminbi machine examination off-line according to claim 1 is rechecked system, it is characterized in that: the mistake that fluctuation causes for the offset printing mass colour is useless, image data processing system is according to calculating the R passage respectively, the G passage, the average of B passage and with standard drawing relatively, thereby the product of the flase drop that the fluctuation of offset printing mass colour is caused detects.
3. a kind of Xiao Zhang's Renminbi machine examination off-line according to claim 1 is rechecked system, it is characterized in that: useless for the mistake that the ink dot defective causes, image data processing system carries out the identification of various dimensions from the area of defective, shape etc., and the product of this part flase drop is detected.
4. a kind of Xiao Zhang's Renminbi machine examination off-line according to claim 1 is rechecked system, it is characterized in that: useless for the mistake that the scarce seal of offset printing causes, image data processing system is taked these characteristic analysis methods of filtering, area and shape, and the product of this part flase drop is detected.
5. a kind of Xiao Zhang's Renminbi machine examination off-line according to claim 1 is rechecked system, it is characterized in that: recheck the product of the online rejecting of system through Xiao Zhang's Renminbi machine examination off-line, detect a banknote according to original online detection algorithm again.
6. a kind of Xiao Zhang's Renminbi machine examination off-line according to claim 1 is rechecked system, it is characterized in that: banknote is during through original online detection instrument, if it is bad that banknote has one side to be judged to, then preserve two images of pros and cons simultaneously, when rechecking system through Xiao Zhang's Renminbi machine examination off-line, the record back side is the number of mistake waste, when rechecking online rejecting it.
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| CN102565074A (en) * | 2012-01-09 | 2012-07-11 | 西安印钞有限公司 | System and method for rechecking images of suspected defective products by small sheet sorter |
| CN102580929A (en) * | 2012-02-27 | 2012-07-18 | 上海印钞有限公司 | System for eliminating waste RMB according to RMB crown word numbers based on small-piece incompleteness pickup machine |
| CN108645869A (en) * | 2018-08-20 | 2018-10-12 | 中国印刷科学技术研究院有限公司 | The non-defective method for removing and its device of gravure printing roller surface defect intelligent measurement |
| CN113386131A (en) * | 2021-06-01 | 2021-09-14 | 江苏科瑞恩自动化科技有限公司 | Full-automatic test handling system and control method thereof |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102565074A (en) * | 2012-01-09 | 2012-07-11 | 西安印钞有限公司 | System and method for rechecking images of suspected defective products by small sheet sorter |
| CN102565074B (en) * | 2012-01-09 | 2014-02-05 | 西安印钞有限公司 | System and method for rechecking images of suspected defective products by small sheet sorter |
| CN102580929A (en) * | 2012-02-27 | 2012-07-18 | 上海印钞有限公司 | System for eliminating waste RMB according to RMB crown word numbers based on small-piece incompleteness pickup machine |
| CN102580929B (en) * | 2012-02-27 | 2013-12-04 | 上海印钞有限公司 | System for eliminating waste RMB according to RMB crown word numbers based on small-piece incompleteness pickup machine |
| CN108645869A (en) * | 2018-08-20 | 2018-10-12 | 中国印刷科学技术研究院有限公司 | The non-defective method for removing and its device of gravure printing roller surface defect intelligent measurement |
| CN113386131A (en) * | 2021-06-01 | 2021-09-14 | 江苏科瑞恩自动化科技有限公司 | Full-automatic test handling system and control method thereof |
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| CN102183526B (en) | 2013-09-25 |
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Address after: 200063 158 Cao Yang Road, Shanghai, Putuo District Patentee after: SHANGHAI BANKNOTE PRINTING Co.,Ltd. Patentee after: China Banknote Printing and Minting Group Co.,Ltd. Address before: 200063 158 Cao Yang Road, Shanghai, Putuo District Patentee before: SHANGHAI BANKNOTE PRINTING Co.,Ltd. Patentee before: CHINA BANKNOTE PRINTING AND MINTING Corp. |
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