CN103824113A - Printed paper product number identification apparatus based on image identification technology, and identification method thereof - Google Patents
Printed paper product number identification apparatus based on image identification technology, and identification method thereof Download PDFInfo
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- CN103824113A CN103824113A CN201410009923.3A CN201410009923A CN103824113A CN 103824113 A CN103824113 A CN 103824113A CN 201410009923 A CN201410009923 A CN 201410009923A CN 103824113 A CN103824113 A CN 103824113A
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Abstract
The invention relates to the field of automatic detection of a printing system, and especially relates to a printed paper product number identification apparatus based on an image identification technology, and an identification method thereof. The apparatus comprises an image sensor, a processor and a display. The image sensor is arranged at one side of stacked paper and acquires stack texture image data of the paper; the signal input end of the processor is connected with the signal output end of the image sensor; the signal output end of the processor is connected with the display; and the processor receives the image data acquired by the image sensor, identifies the change of image gray values in the direction of a paper stack, based on the change frequency of the gray values, calculates the number of the paper, and displays a calculation result through the display. By using the apparatus and method provided by the invention, the image data of paper stack textures can be directly acquired; and the processor identifies change of the gray values of the image data in the direction of the paper stack, based on the change frequency, calculates the number of the paper, and rapidly calculates the number of the paper by identifying the difference between paper gray values and paper slit gray values.
Description
Technical field
The present invention relates to the automatic detection field of print system, relate in particular to a kind of recognition device and recognition methods thereof of the paper printed matter number based on image recognition technology.
background technology
At present, printing house need to be to some paper accurate metering.At present domesticly mostly adopt method counting artificial or based on weigh for this demand, the former labor intensive, inefficiency; The latter's accuracy is difficult to reach requirement.Although the existing means based on mechanical system paper counting both at home and abroad, plant equipment, in the time running up, can be sent very large noise and have a strong impact on staff's physical and mental health.In addition plant equipment contacts and can produce a certain amount of dust with counting object, affects the environment of workshop.The mode of Mechanical Contact also can cause damage to the product of printing.Therefore the present invention, by the technology of image recognition, develops a set of automatic measuring equipment to meet the requirement of enterprise to human cost control and Automation of Manufacturing Process.
Summary of the invention
The present invention, mainly for having the single paper that stacks direction, identifies the gray-value variation that stacks texture by image recognition technology, and efficiently and accurately computation paper number order of variation based on gray-scale value.
For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of recognition device of paper printed matter number, comprise imageing sensor, processor, and display, imageing sensor is arranged on a side that stacks paper, and gather paper stack texture image data, can be directly gather paper and stack the view data of texture by shoot function, because the signal input part of processor and the signal output part of imageing sensor are connected, imageing sensor can be converted into digital signal by the view data once photographing, and transfer data to processor by the connection of I/O signaling interface.View data is carried out aftertreatment by processor, and recognition image gray-scale value stacks the variation in direction at paper, the image effect being collected by imageing sensor as shown in Figure 1 simultaneously.From scheming, can find out, the color in the color on paper and paper gap obviously there are differences, and the color in paper gap approaches black.Utilize image recognition technology, processor carries out the identification of gray-scale value to above-mentioned image effect, and mainly the gradation of image value variation stacking at paper in direction is carried out to data acquisition, as shown in Figure 2.The gray-value variation that processor stacks direction for paper on image is carried out data acquisition, as can be seen from the figure, ordinate in curve map reflects that gray-scale value constantly changes, the minimum value of each period of change all reflects the gray-scale value in paper gap, therefore, processor can be based on this gray-scale value change frequency computation paper number order, because processor is connected with display, processor can be presented at the result of the image of collection and calculating on display, provides rapidly and accurately the quantity of paper.
Further, in the time that paper stacks area and exceeds the investigative range of imageing sensor, be that number of paper is while having exceeded the amount of an identification of imageing sensor, described imageing sensor can be arranged on the driven unit that drives its motion, driven unit includes power source and gear train, the control signal input end of power source is connected with the control signal output terminal of processor, the control signal control power source action of processor output, the driving link of gear train is connected with power source, the driven member of gear train is connected with imageing sensor, power source drives imageing sensor to stack in direction and move at paper by gear train, in the time that number of paper exceeds the sensing range of imageing sensor, ordering about imageing sensor by driven unit moves to next position and carries out the collection of view data.
Preferably, described power source is stepper motor, gear train is lead screw transmission mechanism, wherein the output shaft of stepper motor is connected with the screw mandrel in lead screw transmission mechanism, nut in lead screw transmission mechanism is connected with imageing sensor, therefore, the displacement of control chart image-position sensor more accurately that coordinates with lead screw transmission mechanism by stepper motor.
Preferably, the nut in described lead screw transmission mechanism is connected with imageing sensor by link.
Preferably, in described lead screw transmission mechanism, the axis parallel of screw mandrel is in the direction that stacks of paper, and imageing sensor detects in vertical direction and stacks paper, makes the texture in image be tending towards arranging from top to bottom, is more conducive to processor texture is identified.
Further, for fear of paper in identifying, after imageing sensor moves may before and after the problem of twice pair of same paper counting, at imageing sensor and stack and be also provided with some colored separation marks between paper.Described colored separation mark stacks direction along paper and arranges also separated by a distance.Utilize some colour-codeds the face that stacks of paper to be carried out to the division in region, colour-coded can be red, green or blue.Due in image recognition technology, shades of colour in image all can have different rgb values, colour-coded is chosen as redness, green or blue, makes R value, G value or the B value of the position that is provided with colour-coded in image much larger than the value of other pixel, and processor is identified.Imageing sensor is subject to driver control, conventionally gathering for the first time or while gathering for the last time, stacking the head of paper, image that two regions of tail collect has a separation mark.Processor can end to this separation mark in the time of statistical picture gray-value variation number of times, and counting region can not exceed this separation mark.In the time that imageing sensor moves to other region, the image generally collecting has two colour-codeds, processor can take between two colour-codeds as a region, and only the gradation of image value change frequency in region is gathered and is added up, therefore effectively avoided imageing sensor to move after may before and after the problem of twice pair of same paper counting.
Preferably, described colored separation mark is divided into left comer point and right corner point, and described left comer point is on the same straight line that stacks direction perpendicular to paper with right corner point.Processor in the process of recognition image, division limits that can be using the line of left comer point and right corner point as region, and the change frequency of region collection gradation of image value between left comer point and right corner point.Can divide more exactly the identified region that stacks paper on the one hand, also avoid on the other hand the accuracy due to the overlapping identification and the calculating that affect processor in separation mark and paper gap.
Alternatively, described processor is single-chip microcomputer.
Alternatively, described imageing sensor is cam device, and the side of cam device is provided with the controllable light source of irradiating to stacking paper, makes image avoid the problems such as shade, strengthens the identification of adjacent paper edge.
Based on above-mentioned recognition device, the present invention discloses a kind of recognition methods of paper printed matter number, comprises following steps:
Step 1: step motor control imageing sensor moves to the upper/lower that stacks paper side; This step is in the situation based on most industry application, the quantity that stacks paper exceeds the visual interface of imageing sensor, now can select by control step driven by motor imageing sensor from stacking the top of paper side, then from top to down expanded sweep and calculating, or from stacking the bottom of paper side, then expanded sweep and calculating from bottom to up;
Step 2: imageing sensor scan image, and view data is reached to processor; The paper view data that imageing sensor obtains single pass at the side that stacks paper is sent to processor, in the prior art, imageing sensor generally also possesses analog-digital conversion function, therefore after imageing sensor scan image, can first image be converted to digital signal, transfer data to processor by I/O signaling interface again, view data is carried out aftertreatment by processor;
Step: 3: the colored left comer point in processor recognition image and right corner point, gray-scale value in recognition image stacks the variation in direction at paper simultaneously, and stop continuing identification as boundary take the straight line of left comer point and right corner point formation, change frequency computation paper number order based on this gray-scale value again, the result that accumulative total is once calculated in the totalizer of processor, after processor is processed view data, first identify colored left comer point and right corner point default in image by image technique, default left comer point and right corner point can be selected redness, blue or green, make its R value, G value or B value are much larger than the value of other pixel, allow processor be identified, simultaneously using the straight line of left comer point and right corner point formation as the boundary of identifying, change frequency computation paper number order based on this gray-scale value again, that is to say, in the time that imageing sensor scanning stacks the image on paper top, image only below show left comer point and right corner point, processor is just using the line of below left comer point and right corner point as boundary, identify and calculate from image top to this interval paper of boundary of below, in the time that imageing sensor scanning stacks the image at paper middle part, image all shows left comer point and right corner point with below up, processor is just using the line of top left comer point and right corner point as upper boundary, using the line of below left comer point and right corner point as Lower Limits, from image, boundary to this interval paper of Lower Limits is identified and is calculated, in the time that imageing sensor scanning stacks the image of paper bottom, image only shows left comer point and right corner point up, processor is just using the line of top left comer point and right corner point as boundary, identify and calculate from image below to this interval paper of boundary of top, and the result that accumulative total is once calculated in the totalizer of processor, each result of calculating can both be recorded in processor,
Step 4: stepper motor continues control chart image-position sensor and rises/move down requires the displacement rear field of view lower limit/upper limit that rises/move down to be no more than the last time visual field upper limit/lower limit simultaneously; When imageing sensor completes single pass, after processor also completes and once identifies and calculate, just by step motor control imageing sensor to stacking next region image data of paper;
Step 5: repeating step 3, until stack all been scanned of region quilt of paper side, and the net result of integrating instrument is presented on display; Processor adds up the result of calculation in all regions, and draws the total number that stacks paper, finally result is shown by display;
Compared with prior art, the invention has the beneficial effects as follows: the recognition device of a kind of paper printed matter number of the present invention is by arranging imageing sensor in a side that stacks paper, can directly take, gather paper and stack the view data of texture.Because the signal input part of processor and the signal output part of imageing sensor are connected, the signal output part of processor is connected with display, view data and recognition image gray-scale value that processor can receive imageing sensor stack the variation in direction at paper, and change frequency computation paper number order based on this gray-scale value, by being identified in the number that stacks this characteristic of grey value difference of paper and paper gap in direction and can more intuitively and rapidly calculate paper.Processor is connected with display, and finally by display display measurement data and result of calculation.
Accompanying drawing explanation
Fig. 1 is that the present invention is to stacking the recognition effect figure of paper.
Fig. 2 is the curve map of image data acquiring of the present invention.
Fig. 3 is the one-piece construction schematic diagram of the recognition device of a kind of paper printed matter number of the present invention.
Fig. 4 is systematic schematic diagram of the present invention.
Fig. 5 is working-flow figure of the present invention.
Fig. 6 is system motion schematic front view of the present invention.
Fig. 7 is system motion diagrammatic side view of the present invention.
Fig. 8 is that the present invention is to stacking the zoning plan of paper.
Fig. 9 is working-flow figure of the present invention.
Embodiment
Below in conjunction with embodiment, the present invention is further illustrated.Wherein, accompanying drawing is only for exemplary illustration, expression be only schematic diagram, but not pictorial diagram can not be interpreted as the restriction to this patent; For embodiments of the invention are described better, some parts of accompanying drawing have omission, zoom in or out, and do not represent the size of actual product; For a person skilled in the art, in accompanying drawing some known features and explanation thereof may to omit be understandable.
The corresponding same or analogous parts of same or analogous label in the accompanying drawing of the embodiment of the present invention; In description of the invention, it will be appreciated that, if have term " on ", the orientation of the indication such as D score, " left side ", " right side ", " vertically ", " level " or position relationship be for based on orientation shown in the drawings or position relationship, only the present invention for convenience of description and simplified characterization, rather than indicate or imply that the device of indication or element must have specific orientation, construct and operation with specific orientation, therefore in accompanying drawing, describe the term of position relationship only for exemplary illustration, can not be interpreted as the restriction to this patent.
In addition, if there is the term such as " first ", " second ", only for describing object, and indication or hint relative importance can not be interpreted as, for the ordinary skill in the art, the concrete meaning of above-mentioned term can be understood as the case may be.
A kind of recognition device of paper printed matter number and recognition methods thereof as shown in Fig. 3 ~ 5, include STM32F103VET6(processor), OV7670 camera, worktable, stepper motor and driver thereof etc.This recognition device is mainly used in identifying cigarette case number.Camera is arranged on link 1 and is positioned at the side that stacks paper 2, the nut (not shown in FIG.) of link 1 connection wire rod gear train, and the screw mandrel 4 in lead screw transmission mechanism is connected with the output shaft of stepper motor 3.First processor is made a video recording to serial ports, and first takes instruction, and after camera is accepted instruction, acquisition of image data also returns, and processor storing image data computation paper number order, deposit a result of calculation to totalizer.Then processor sends instruction to stepper motor 3, stepper motor 3 is received instruction rear drive screw mandrel 4 forward or reverse, the link 1 that makes to be connected on screw mandrel 4 moves up or down, and camera is followed and risen or decline, and moves to next position preparation for acquiring data.Cycle control camera stacks the diverse location image data in direction at paper in a manner described, and showing the net result in totalizer by display.
As shown in Fig. 6 ~ 9, enough clear for guaranteeing the picture gathering, consider camera installation site and camera pixel, it is 16-20 that a photographic images visual field can hold cigarette peduncle paper number.In the time requiring identification paper total amount to exceed once the amount of distinguishing, need the camera platform fixed range that moves up.Require mobile rear field of view lower limit to be no more than the last time visual field upper limit.
In paper identifying, after camera moves may before and after the problem of twice pair of same paper counting, in advance according to displacement to paper layer subregion, paper number in each identification region.Identified region scope is limited by four red angle points on acrylic transparent panel 5.
Identifying, according to above-mentioned subregion thought, supposes that basipetal region is respectively A, B, C.Camera gathers the district into bottom A for the first time.When camera collection is after data, first processor finds angle point, establishes corner location and is respectively (X1, Y1), (X1, Y2), (X2, Y1), (X2, Y2).By two horizontal linear X=Y1, X=Y2 limits A district scope, and system, to paper identification in A district, is deposited identification number in totalizer.System is to stepper motor 3 signals, and stepper motor 3 drives camera to arrive B zone position, again computation paper number cumulative.Similarly, after C district is calculated, the image of the net result of totalizer and collection is shown on display.
Red angle point R value is much larger than other pixel point values, can this locating area scope; There is significant textural characteristics in paper image clearly, and the texture of image is single horizontal direction, and the difference of data (gray-scale value) is obvious in vertical direction to find image by rim detection, therefore with the accurately identification paper number of algorithm of this characteristic Design.
Obviously, the above embodiment of the present invention is only for example of the present invention is clearly described, and is not the restriction to embodiments of the present invention.For those of ordinary skill in the field, can also make other changes in different forms on the basis of the above description, here without also giving exhaustive to all embodiments.All any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in the protection domain of the claims in the present invention.
Claims (10)
1. the recognition device of a paper printed matter number, it is characterized in that, comprise imageing sensor, processor, and display, imageing sensor is arranged on a side that stacks paper, and gather paper stack texture image data, the signal input part of processor is connected with the signal output part of imageing sensor, the signal output part of processor is connected with display, processor receives the view data that imageing sensor gathers, and recognition image gray-scale value stacks the variation in direction at paper, and change frequency computation paper number order based on this gray-scale value, and show result of calculation by display.
2. the recognition device of paper printed matter number according to claim 1, it is characterized in that, described imageing sensor is arranged on the driven unit that drives its motion, driven unit includes power source and gear train, the control signal input end of power source is connected with the control signal output terminal of processor, the control signal control power source action of processor output, the driving link of gear train is connected with power source, the driven member of gear train is connected with imageing sensor, and power source drives imageing sensor to stack in direction and move at paper by gear train.
3. the recognition device of paper printed matter number according to claim 2, it is characterized in that, described power source is stepper motor, gear train is lead screw transmission mechanism, wherein the output shaft of stepper motor is connected with the screw mandrel in lead screw transmission mechanism, and the nut in lead screw transmission mechanism is connected with imageing sensor.
4. the recognition device of paper printed matter number according to claim 3, is characterized in that, the nut in described lead screw transmission mechanism is connected with imageing sensor by link.
5. the recognition device of paper printed matter number according to claim 3, is characterized in that, in described lead screw transmission mechanism, the axis parallel of screw mandrel is in the direction that stacks of paper.
6. the recognition device of paper printed matter number according to claim 2, is characterized in that, described imageing sensor and stack between paper and be also provided with some colored separation marks, and described colored separation mark stacks direction along paper and is spaced.
7. the recognition device of paper printed matter number according to claim 2, is characterized in that, described colored separation mark is divided into left comer point and right corner point, and described left comer point is on the same straight line that stacks direction perpendicular to paper with right corner point.
8. the recognition device of paper printed matter number according to claim 1, is characterized in that, described processor is single-chip microcomputer.
9. the recognition device of paper printed matter number according to claim 1, is characterized in that, described imageing sensor is cam device, and the side of cam device is provided with the controllable light source of irradiating to stacking paper.
10. the paper printed matter number recognition methods based on claim 1～9, is characterized in that, comprises the following steps:
Step 1: step motor control imageing sensor moves to the upper/lower that stacks paper side;
Step 2: imageing sensor scan image, and view data is reached to processor;
Step 3: the colored left comer point in processor recognition image and right corner point, gray-scale value in recognition image stacks the variation in direction at paper simultaneously, and stop continuing identification as boundary take the straight line of left comer point and right corner point formation, change frequency computation paper number order based on this gray-scale value again, the result that accumulative total is once calculated in the totalizer of processor;
Step 4: stepper motor continues control chart image-position sensor and rises/move down requires the displacement rear field of view lower limit/upper limit that rises/move down to be no more than the last time visual field upper limit/lower limit simultaneously;
Step 5: repeating step 3 and step 4, until stack all been scanned of region quilt of paper side, and the net result of integrating instrument is presented on display.
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| CN201410009923.3A CN103824113A (en) | 2014-01-09 | 2014-01-09 | Printed paper product number identification apparatus based on image identification technology, and identification method thereof |
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| CN104197832A (en) * | 2014-08-21 | 2014-12-10 | 深圳市青铜科技有限公司 | Product measuring method based on image recognizing technology |
| CN106408081A (en) * | 2015-07-30 | 2017-02-15 | 澄洋企业股份有限公司 | Image board quantity counting device and method |
| CN107300408A (en) * | 2017-08-07 | 2017-10-27 | 赵思俨 | A kind of combination image procossing and the examination paper counting equipment and examination paper method of counting of weight calculation |
| US20220357634A1 (en) * | 2021-05-04 | 2022-11-10 | Purdue Research Foundation | Phenotyping imaging system with automatic leaf-handling mechanism |
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Application publication date: 20140528 |