CN204148152U - Large-scale multi items is mixed takes underwear automated sorting production line - Google Patents
Large-scale multi items is mixed takes underwear automated sorting production line Download PDFInfo
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- CN204148152U CN204148152U CN201420224639.3U CN201420224639U CN204148152U CN 204148152 U CN204148152 U CN 204148152U CN 201420224639 U CN201420224639 U CN 201420224639U CN 204148152 U CN204148152 U CN 204148152U
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- 238000012937 correction Methods 0.000 description 7
- 238000000926 separation method Methods 0.000 description 6
- 238000002156 mixing Methods 0.000 description 5
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Abstract
The utility model discloses that a kind of large-scale multi items is mixed takes underwear automated sorting production line, it is characterized in that, comprise the feeding workspace, the sorting work district that set gradually and mixed take workspace, described sorting work district comprises transparent conveyer belt, profile acquisition mechanism, style collecting mechanism and data processing equipment; Described transparent conveyer belt is arranged in profile acquisition mechanism and style collecting mechanism, and is sent to forward by the underwear of feeding workspace, successively through profile acquisition mechanism, style collecting mechanism; Described mixed workspace of taking comprises several and mixedly to take a little and a manipulator, and described some mixed taking a little are located at transparent conveyer belt side, and transparent conveyer belt opposite side is located at by described manipulator, and with described mix take a little corresponding.The utility model provides a complete sorting production line structure, and adopting scientific and reasonable layout setting, complements each other in each workspace; Multi items can be applied to and mix the automated sorting taking underwear.
Description
Technical field
The utility model relates to automatic sorting technology; Underwear automated sorting method and production line is taken in particular to large-scale multi items is mixed.
Background technology
It is all rely on manually to carry out that current multi items mixes the sorting of taking underwear, there is many deficiencies; First be inefficiency, rely on and manually take underwear sort multi items is mixed, speed is slow, once can only a little carry out mixed taking for mixed taking, affect production efficiency, and the speed of dispensing; Next is that error rate is high, rely on and manually the underwear of multi items is set, size (profile) factor should be considered, consider style factor again, and many times have the underwear of many different cultivars, its size and style all hardly differ, and so just cause easily going wrong during manual sorting, are difficult to guaranteed quality; In addition, this long multi items is mixed takes underwear sorting work, easily causes visual fatigue, is unfavorable for the health of workman.Also be like this for the underwear accomplishing fluently packaging, because packaging is point a variety of, transparent, translucent, large is little, and packaging decorative pattern form is different, if just rely on manual identified and sorting, taking time and effort very.Therefore, develop that a kind of large-scale multi items is mixed takes underwear automated sorting method and corresponding production line seems very necessary, can enhance productivity, ensure production quality, reduce production cost, and avoid damaging the healthy of workman.
Utility model content
The utility model, for the deficiencies in the prior art, its object is to provide the sorting production line structure that complete, adopts scientific and reasonable layout setting, complemented each other in each workspace.
The technical scheme that the utility model is adopted for achieving the above object is:
A kind of large-scale multi items is mixed takes underwear automated sorting production line, it is characterized in that, comprise the feeding workspace, the sorting work district that set gradually and mixed take workspace, described sorting work district comprises transparent conveyer belt, profile acquisition mechanism, style collecting mechanism and data processing equipment; Described transparent conveyer belt is arranged in profile acquisition mechanism and style collecting mechanism, and is sent to forward by the underwear of feeding workspace, successively through profile acquisition mechanism, style collecting mechanism; Described mixed workspace of taking comprises several and mixedly to take a little and a manipulator, and described some mixed taking a little are located at transparent conveyer belt side, and transparent conveyer belt opposite side is located at by described manipulator, and with described mix take a little corresponding.
Described feeding workspace comprises temporary point and burble point, and described temporary point is provided with a vibrating disk, and described burble point is provided with a guide groove, and this guide groove one end is connected with vibrating disk, and the other end is connected with transparent conveyer belt.
Described profile acquisition mechanism comprises linear array CCD camera and LED backlight, described LED backlight is positioned at below transparent conveyer belt, and from bottom to top polishing is carried out to the underwear on transparent conveyer belt, described linear array CCD camera is positioned at above transparent conveyer belt, and carries out line sweep IMAQ to the underwear on transparent conveyer belt from top to bottom.Described style collecting mechanism comprises CIS camera and the positive light source of LED, the positive light source of described LED is positioned at above transparent conveyor belt side, and above side, polishing is carried out to the underwear transparent conveyer belt, described CIS camera is positioned at directly over transparent conveyer belt, and by directly over style IMAQ is carried out to the underwear on transparent conveyer belt.The positive light source of described LED comprises four, above the side, front, rear, left and right laying respectively at transparent conveyer belt, and carries out polishing with 45° angle to the underwear on transparent conveyer belt.
The large-scale multi items that above-mentioned production line adopts is mixed takes underwear automated sorting method, and it comprises the following steps:
1) arrange the underwear of feeding workspace to some kinds to make in order, stretch and divide and make to face up, be then sent to subsequent work district; This feeding workspace comprises temporary point and burble point, and described temporary point is provided with a vibrating disk, and described burble point is provided with a guide groove, and this guide groove one end is connected with vibrating disk, and the other end is connected with transparent conveyer belt.
2) arrange a sorting work district, this sorting work district comprises transparent conveyer belt, profile acquisition mechanism, style collecting mechanism and data processing equipment; The underwear of feeding workspace is sent to forward by described transparent conveyer belt, successively through profile acquisition mechanism, style collecting mechanism; Described data processing equipment processes the view data that profile acquisition mechanism, style collecting mechanism collect, obtain silhouette contrast data and style correction data, and contrast with the outline data of the different cultivars prestored and pattern data respectively, thus identify the kind of underwear:
2.1) described profile acquisition mechanism comprises linear array CCD camera and LED backlight, described LED backlight carries out polishing to the underwear on transparent conveyer belt from bottom to top, described linear array CCD camera carries out line sweep IMAQ to the underwear on transparent conveyer belt from top to bottom, and is transported to data processing equipment; Described data processing equipment processes the line sweep image collected: first carry out image calibration, binaryzation, denoising to line sweep image, edge local is made to arrive the exact position of pixel inside, secondly respectively expansion process, corrosion treatmentCorrosion Science are carried out to pretreated line sweep image, with the image after the figure image subtraction corrosion after expansion, obtain the edge that many pixels are wide, edge wide to this many pixel again carries out refinement, obtains the profile of single pixel wide, and then obtains silhouette contrast data;
2.2) described style collecting mechanism comprises CIS camera and the positive light source of LED, the positive light source of described LED carries out polishing to the underwear transparent conveyer belt above side, described CIS camera by directly over style IMAQ is carried out to the underwear on transparent conveyer belt, and be transported to data processing equipment; Described data processing equipment processes the style image collected: first style image is split as several parts, secondly respectively feature extraction is carried out to various piece, again merging features is carried out to the various piece feature extracted, and then obtain style correction data;
2.3) silhouette contrast data and style correction data are contrasted with the outline data of different cultivars that prestores in data processing equipment and pattern data respectively, thus identify the kind of underwear;
3) arrange one and mixed take workspace, this is mixed takes workspace and comprises several and mixedly to take a little and a manipulator, when data processing equipment judges that underwear mixes the kind needed for taking a little for one of them, then this underwear is put to mixed taking a little to this by manipulator, until this mixes the underwear kind required for taking a little and quantity all meets, complete multi items underwear automated sorting.
Step 2.1) in, carry out image binaryzation with maximum variance between clusters, the edge wide to many pixels with region framework extraction algorithm carries out refinement, wherein, the described region framework extraction algorithm edge wide to many pixels carries out refinement, comprise the steps: that each pixel of described composition profile is profile point, profile point is read gray value and the coordinate of each pixel in 9 pixel × 9 pixel size rectangular lens in rectangular lens center to calibrated image, judge the gray value gradient direction of each pixel in rectangular lens, interpolation is carried out with the gray value of cubic spline functions to pixel each on gray value gradient direction, try to achieve the first derivative of interpolating function, then the extreme point position of interpolating function first derivative is tried to achieve, go out subpixel coordinates according to extreme point position calculation and preserve, and then choose next profile point, circulate successively repeatedly, until all profile point are all processed.
Step 2.1) in, also comprise the steps: each pel of the profile identifying single pixel wide; A) profile point classified according to profile neighborhood of a point value, the profile point that can become angle point is selected, and these profile point are decided to be candidate contours point; B) the discrete curvature value of each candidate contours point is calculated by 11 k-curvature method, discrete curvature value according to each candidate contours point calculates discrete curvature threshold value, according to this threshold value, first time screening is carried out to candidate contours point, select the candidate contours point that discrete curvature value is greater than threshold value, these candidate contours points are decided to be primary screening candidate contours point; C) by standoff height method, primary screening candidate contours point is classified; D) with the arc fragmenting converted based on HOUGH and blending algorithm the pseudo-random numbers generation in circular arc pel rejected and elect flex point additional member, the candidate contours point obtained after carrying out this step is decided to be postsearch screening candidate contours point; E) by standoff height method, postsearch screening candidate contours point is classified; F) with the line segmentation converted based on HOUGH and blending algorithm the pseudo-random numbers generation in straight line pel rejected and elect point of contact additional member; G) eliminated the pseudo-random numbers generation in candidate contours point completely to this and elected flex point and point of contact additional member, the candidate contours now obtained point being decided to be characteristic point, by standoff height method, characteristic point being classified, and the attribute of judging characteristic point both sides pel; H) characteristic point is preserved in order.
Described step 2.2) in feature extraction comprise the steps:
Image background separation is carried out to style image, gradation of image enhancing, image normalization; Retain the real features of style in style image, the false feature of filtering; Carry out filtering, ensure that pattern data is without assorted point.
The utility model has the advantage of: provide a complete sorting production line structure, adopt scientific and reasonable layout setting, complemented each other in each workspace; Multi items can be applied to and mix the automated sorting taking underwear, enhance productivity, ensure production quality, reduce production cost, and avoid damaging the healthy of workman.
Below in conjunction with accompanying drawing and detailed description of the invention, the utility model is further illustrated.
Accompanying drawing explanation
Fig. 1 is the structural representation of the present embodiment production line;
Fig. 2 is the structural representation of the present embodiment feeding workspace;
Fig. 3 is schematic diagram before the process of the present embodiment profile acquisition;
Fig. 4 is the schematic diagram after Fig. 3 makes edge local arrive the exact position of pixel inside;
Fig. 5 is the profile schematic diagram that Fig. 4 obtains single pixel wide;
In figure: 1. feeding workspace; 11. vibrating disks; 12. guide grooves; 2. sorting work district; 21. transparent conveyer belts; 22. linear array CCD cameras; 23.LED backlight; 4. underwear; 24.CIS camera; The positive light source of 25.LED; 3. mix and take workspace; 31. mixed take a little; 32. manipulators.
Detailed description of the invention
See Fig. 1 to Fig. 2, the large-scale multi items that the present embodiment provides is mixed takes underwear automated sorting production line, comprise the feeding workspace 1, the sorting work district 2 that set gradually and mixed take workspace 3, described sorting work district 1 comprises transparent conveyer belt 21, profile acquisition mechanism, style collecting mechanism and data processing equipment; Described transparent conveyer belt 21 is arranged in profile acquisition mechanism and style collecting mechanism, and is sent to forward by the underwear 4 of feeding workspace 1, successively through profile acquisition mechanism, style collecting mechanism; Described mixed workspace 3 of taking comprises several and mixedly takes a little 31 and a manipulator 32, and described some mixed taking a little 31 are located at transparent conveyer belt 21 side, and transparent conveyer belt 21 opposite side is located at by described manipulator 32, and with described mix take a little 31 corresponding.Described transparent conveyer belt 21 adopts flexible transparent strips, as the adhesive tape of Polymer materialspreparation.This transparent driving-belt is by belt wheel, and motor, cycle rotation, forms connecting gear.
Described feeding workspace 1 comprises temporary point and burble point, and described temporary point is provided with a vibrating disk 11, and described burble point is provided with a guide groove 12, and this guide groove 12 one end is connected with vibrating disk 11, and the other end is connected with transparent conveyer belt 21.Vibrating disk 11 vibrates, and can make feed separation, through guide groove 12 after separation, falls into transparent conveyer belt 21.Send formula guide groove (namely vibrate, have the action of feeding forward simultaneously) before described guide groove 12 adopts vibration to add, and top is to bottom, by wide to narrow, place and occur the situation that two pieces material superposes simultaneously.
Described profile acquisition mechanism comprises linear array CCD camera 22 and LED backlight 23, described LED backlight 23 is positioned at below transparent conveyer belt 21, and from bottom to top polishing is carried out to the underwear 4 on transparent conveyer belt 21, described linear array CCD camera 22 is positioned at above transparent conveyer belt 21, and carries out line sweep IMAQ to the underwear 4 on transparent conveyer belt 21 from top to bottom.Described style collecting mechanism comprises CIS camera 24 and the positive light source 25 of LED, the positive light source of described LED 25 is positioned at transparent transmission 21 and is with above side, and above side, polishing is carried out to the underwear 4 transparent conveyer belt 21, described CIS camera 24 is positioned at directly over transparent conveyer belt 21, and by directly over style IMAQ is carried out to the underwear 4 on transparent conveyer belt 21.The positive light source 25 of described LED comprises four, above the side, front, rear, left and right laying respectively at transparent conveyer belt 21, and carries out polishing with 45° angle to the underwear on transparent conveyer belt.Simultaneously with 45° angle polishing above four sides, due to symmetrical all around and angle is adaptive, style IMAQ effect can be made to reach the best, avoid the situation occurring changing.
The large-scale multi items that above-mentioned production line adopts is mixed takes underwear automated sorting method, and it comprises the following steps:
1) arrange the underwear of feeding workspace 1 to some kinds to make in order, stretch and divide and make to face up, be then sent to sorting work district 2; This feeding workspace 1 comprises temporary point and burble point, and described temporary point is provided with a vibrating disk 11, and described burble point is provided with a guide groove 12, and this guide groove 12 one end is connected with vibrating disk 11, and the other end and the transparent transmission 21 in sorting work district 2 are with and are connected; This position only need be equipped with a workman, is responsible for guaranteeing that feeding workspace is normally run, and carries out certain arrangement to material.
2) arrange a sorting work district 2, this sorting work district 2 comprises transparent conveyer belt 21, profile acquisition mechanism, style collecting mechanism and data processing equipment; Described transparent transmission 21 is sent to forward with by the underwear of feeding workspace 1, successively through profile acquisition mechanism, style collecting mechanism; Described data processing equipment processes the view data that profile acquisition mechanism, style collecting mechanism collect, obtain silhouette contrast data and style correction data, and contrast with the outline data of the different cultivars prestored and pattern data respectively, thus identify the kind of underwear:
2.1) described profile acquisition mechanism comprises linear array CCD camera 22 and LED backlight 23, described LED backlight 23 carries out polishing to the underwear 4 on transparent conveyer belt 21 from bottom to top, described linear array CCD camera 22 carries out line sweep IMAQ to the underwear 4 on transparent conveyer belt 21 from top to bottom, and is transported to data processing equipment; Described data processing equipment processes the line sweep image collected: first carry out image calibration, binaryzation, denoising to line sweep image, edge local is made to arrive the exact position of pixel inside, secondly respectively expansion process, corrosion treatmentCorrosion Science are carried out to pretreated line sweep image, with the image after the figure image subtraction corrosion after expansion, obtain the edge that many pixels are wide, edge wide to this many pixel again carries out refinement, obtains the profile of single pixel wide, and then obtains silhouette contrast data.Carry out image binaryzation with maximum variance between clusters, the edge wide to many pixels with region framework extraction algorithm carries out refinement, wherein, the described region framework extraction algorithm edge wide to many pixels carries out refinement, comprise the steps: that each pixel of described composition profile is profile point, profile point is read gray value and the coordinate of each pixel in 9 pixel × 9 pixel size rectangular lens in rectangular lens center to calibrated image, judge the gray value gradient direction of each pixel in rectangular lens, interpolation is carried out with the gray value of cubic spline functions to pixel each on gray value gradient direction, try to achieve the first derivative of interpolating function, then the extreme point position of interpolating function first derivative is tried to achieve, go out subpixel coordinates according to extreme point position calculation and preserve, and then choose next profile point, circulate successively repeatedly, until all profile point are all processed.
See Fig. 3 to Fig. 5, illustrate as follows: such as, result before treatment as shown in Figure 3, makes edge local arrive the result behind the exact position of pixel inside as shown in Figure 4, obtains the result of the profile of single pixel wide as figure 5 illustrates.
What the image being detected underwear obtained after treatment is single pixel, the pixel point set of wide connection, and the single pixel wide belonging to same pel is communicated with, and pixel forms the pel as straight line, circular arc, circle etc., and then forms face profile by these pels.In machine vision size detecting system, need to detect the position between the physical dimension of pel and error thereof, form error, pel and error thereof, therefore must identify each pel of composition face profile, propose the face profile pel recognition methods that converts based on curvature and HOUGH for image recognition for this reason.I.e. step 2.1) in, also comprise the steps: each pel of the profile identifying single pixel wide; A) profile point classified according to profile neighborhood of a point value, the profile point that can become angle point is selected, and these profile point are decided to be candidate contours point; B) the discrete curvature value of each candidate contours point is calculated by 11 k-curvature method, discrete curvature value according to each candidate contours point calculates discrete curvature threshold value, according to this threshold value, first time screening is carried out to candidate contours point, select the candidate contours point that discrete curvature value is greater than threshold value, these candidate contours points are decided to be primary screening candidate contours point; C) by standoff height method, primary screening candidate contours point is classified; D) with the arc fragmenting converted based on HOUGH and blending algorithm the pseudo-random numbers generation in circular arc pel rejected and elect flex point additional member, the candidate contours point obtained after carrying out this step is decided to be postsearch screening candidate contours point; E) by standoff height method, postsearch screening candidate contours point is classified; F) with the line segmentation converted based on HOUGH and blending algorithm the pseudo-random numbers generation in straight line pel rejected and elect point of contact additional member; G) eliminated the pseudo-random numbers generation in candidate contours point completely to this and elected flex point and point of contact additional member, the candidate contours now obtained point being decided to be characteristic point, by standoff height method, characteristic point being classified, and the attribute of judging characteristic point both sides pel; H) characteristic point is preserved in order.
2.2) described style collecting mechanism comprises CIS camera 24 and the positive light source 25 of LED, the positive light source of described LED 25 carries out polishing to the underwear 4 transparent conveyer belt 21 above side, described CIS camera 24 by directly over style IMAQ is carried out to the underwear 4 on transparent conveyer belt 21, and be transported to data processing equipment; Described data processing equipment processes the style image collected: first style image is split as several parts, secondly respectively feature extraction is carried out to various piece, again merging features is carried out to the various piece feature extracted, and then obtain style correction data.Feature extraction comprises the steps: to carry out image background separation to style image, and gradation of image strengthens, image normalization; Retain the real features of style in style image, the false feature of filtering; Carry out filtering, ensure that pattern data is without assorted point.Wherein background separation is by image area and background separation, thus avoids not having the region of effective information to carry out feature extraction, accelerates the speed of subsequent treatment, improves the precision of image characteristics extraction and coupling; It is that picture clear for uneven obscure boundary is changed into sharpness of border that gradation of image strengthens, and facilitates the figure of image zooming-out; Image normalization is two kinds of value images by image from greyscale image transitions.The concrete statistical nature needing the characteristics of image extracted to comprise color or gray scale, texture, edge feature, image algebra feature, image transform coefficients feature etc.Particular content reference " image characteristics extraction research ", Zhai Junhai, Zhao Wenxiu, Wang Xizhao, University Of Hebei's journal (natural science edition), the 29th volume, the 1st phase, in January, 106 to 112,2009.
2.3) silhouette contrast data and style correction data are contrasted with the outline data of different cultivars that prestores in data processing equipment and pattern data respectively, thus identify the kind of underwear;
For final correction data, the vector data being converted into size 1:1 can be adopted, i.e. DXF, PLT isovector formatted file.
3) arrange one and mixed take workspace 3, this is mixed takes workspace and comprises several and mixedly take a little 31 and a manipulator 32, when data processing equipment judges that underwear mixes the kind needed for taking a little for one of them, then this underwear is put and mixed is taken a little 31 to this by manipulator 32, until this mixed underwear kind of taking a little required for 31 and quantity all meet, complete multi items underwear automated sorting.Described manipulator 32 adopts the manipulator of more than Three Degree Of Freedom, realizes underwear being fetched and delivered corresponding mixing and takes a little.Mix the carrying out practically taking workspace as follows: after the kind of a certain underwear judged by data processing equipment, and then judge its whether for first mixed take a little required for underwear kind, if so, then fetched and delivered and mixed taken a little to this, if not, then judge that first mixed takes a little, in like manner, judge that the 3rd mixed takes a little, so analogize, if all mixed taking a little do not need, then deliver to recovery point.
The foregoing is only better possible embodiments of the present utility model, and be not used to limit to the scope of the claims of the present utility model, therefore the equivalence change that all utilization the utility model descriptions and accompanying drawing content are done, be all included in protection domain of the present utility model.
Claims (5)
1. a large-scale multi items mixes and takes underwear automated sorting production line, it is characterized in that, comprise the feeding workspace, the sorting work district that set gradually and mixed take workspace, described sorting work district comprises transparent conveyer belt, profile acquisition mechanism, style collecting mechanism and data processing equipment; Described transparent conveyer belt is arranged in profile acquisition mechanism and style collecting mechanism, and is sent to forward by the underwear of feeding workspace, successively through profile acquisition mechanism, style collecting mechanism; Described mixed workspace of taking comprises several and mixedly to take a little and a manipulator, and described some mixed taking a little are located at transparent conveyer belt side, and transparent conveyer belt opposite side is located at by described manipulator, and with described mix take a little corresponding.
2. large-scale multi items according to claim 1 is mixed takes underwear automated sorting production line, it is characterized in that, described feeding workspace comprises temporary point and burble point, described temporary point is provided with a vibrating disk, described burble point is provided with a guide groove, this guide groove one end is connected with vibrating disk, and the other end is connected with transparent conveyer belt.
3. large-scale multi items according to claim 1 is mixed takes underwear automated sorting production line, it is characterized in that, described profile acquisition mechanism comprises linear array CCD camera and LED backlight, described LED backlight is positioned at below transparent conveyer belt, and from bottom to top polishing is carried out to the underwear on transparent conveyer belt, described linear array CCD camera is positioned at above transparent conveyer belt, and carries out line sweep IMAQ to the underwear on transparent conveyer belt from top to bottom.
4. large-scale multi items according to claim 1 is mixed takes underwear automated sorting production line, it is characterized in that, described style collecting mechanism comprises CIS camera and the positive light source of LED, the positive light source of described LED is positioned at above transparent conveyor belt side, and above side, polishing is carried out to the underwear transparent conveyer belt, described CIS camera is positioned at directly over transparent conveyer belt, and by directly over style IMAQ is carried out to the underwear on transparent conveyer belt.
5. large-scale multi items according to claim 4 is mixed takes underwear automated sorting production line, it is characterized in that, the positive light source of described LED comprises four, above the side, front, rear, left and right laying respectively at transparent conveyer belt, and carries out polishing with 45° angle to the underwear on transparent conveyer belt.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105414052A (en) * | 2015-12-09 | 2016-03-23 | 浙江知音纺织科技有限公司 | Assorted-size underwear sorting machine |
| CN105665307A (en) * | 2016-04-14 | 2016-06-15 | 河南科技大学 | Tobacco leaf online automatic grading sorting system and tobacco leaf sorting method of system |
| CN106000917A (en) * | 2016-07-15 | 2016-10-12 | 安徽东锦资源再生科技有限公司 | Intelligent color sorting device and method for waste fiber products |
| CN106694402A (en) * | 2016-12-08 | 2017-05-24 | 成都天航智虹企业管理咨询有限公司 | Matching sorting box |
| CN107282468A (en) * | 2016-03-31 | 2017-10-24 | 合肥美亚光电技术股份有限公司 | Color selector |
-
2014
- 2014-05-04 CN CN201420224639.3U patent/CN204148152U/en not_active Expired - Lifetime
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105414052A (en) * | 2015-12-09 | 2016-03-23 | 浙江知音纺织科技有限公司 | Assorted-size underwear sorting machine |
| CN107282468A (en) * | 2016-03-31 | 2017-10-24 | 合肥美亚光电技术股份有限公司 | Color selector |
| CN105665307A (en) * | 2016-04-14 | 2016-06-15 | 河南科技大学 | Tobacco leaf online automatic grading sorting system and tobacco leaf sorting method of system |
| CN105665307B (en) * | 2016-04-14 | 2017-12-26 | 河南科技大学 | A kind of method of tobacco leaf on-line automatic define the level sorting system and its sorting tobacco leaf |
| CN106000917A (en) * | 2016-07-15 | 2016-10-12 | 安徽东锦资源再生科技有限公司 | Intelligent color sorting device and method for waste fiber products |
| CN106694402A (en) * | 2016-12-08 | 2017-05-24 | 成都天航智虹企业管理咨询有限公司 | Matching sorting box |
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