CN102259096A - Image recognition based device for external damage detection and grading of potatoes - Google Patents
Image recognition based device for external damage detection and grading of potatoes Download PDFInfo
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- CN102259096A CN102259096A CN2011102026318A CN201110202631A CN102259096A CN 102259096 A CN102259096 A CN 102259096A CN 2011102026318 A CN2011102026318 A CN 2011102026318A CN 201110202631 A CN201110202631 A CN 201110202631A CN 102259096 A CN102259096 A CN 102259096A
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Abstract
The invention discloses an image recognition based device for external damage detection and grading of potatoes, comprising a horizontal conveying channel for conveying potato tubers, wherein an image sensor is arranged at one side of the horizontal conveying channel; a lateral channel for conveying damaged potato tubers is arranged at the other side of the horizontal conveying channel; a shifting fork mechanism is arranged at a position at the upper part of the horizontal conveying channel, corresponding to the lateral channel; the shifting fork mechanism is connected with a stepping motor; the stepping motor is provided with a signal sensor; and the image sensor and the signal sensor are respectively connected with a signal processing device. According to the device, the image recognition technology is applied in the external damage detection and grading processes of the potatoes; the externally-damaged potatoes can be picked out according to the differences of external colors, shapes and textures of two kinds of tubers; and therefore, the device disclosed by the invention has the advantages of high grading precision, high detection speed, flexibility and convenience for operation, high automaticity and wide universality.
Description
Technical field
The present invention relates to a kind of potato outer damage checkout gear, relate in particular to a kind of potato outer damage and detect grading plant based on image recognition.
Background technology
In the potato harvest process, collide and to rub skin loss inevitable, make the quality of potato totally poor, can't satisfy the demand of market to high-quality potato.Therefore, the potato tubers of outer damage need be detected classification, guarantee the marketing quality of potato.
In the prior art, the classification of China potato mainly is to rely on artificial naked-eye observation to select.This method operating efficiency is low, and poor accuracy, and the quality of commodity potato does not reach requirement.
Summary of the invention
The purpose of this invention is to provide a kind of potato outer damage based on image recognition easy to operate, quick, that efficient is high and detect grading plant.
The objective of the invention is to be achieved through the following technical solutions:
Potato outer damage based on image recognition of the present invention detects grading plant, comprise the horizontal feed passage of carrying potato tubers, one side of described horizontal feed passage is equipped with imageing sensor, the opposite side of described horizontal feed passage is provided with the side path of carrying the damage potato tubers, the position of the corresponding described side path in the top of described horizontal feed passage is equipped with shifting fork mechanism, described shifting fork mechanism is connected with stepper motor, described stepper motor is provided with signal transducer, and described imageing sensor links to each other with signal processing apparatus respectively with signal transducer.
As seen from the above technical solution provided by the invention, potato outer damage based on image recognition provided by the invention detects grading plant, because a side of horizontal feed passage is equipped with imageing sensor, opposite side is provided with the side path of carrying the damage potato tubers, the position of the corresponding described side path in the top of horizontal feed passage is equipped with shifting fork mechanism, shifting fork mechanism is connected with stepper motor, stepper motor is provided with signal transducer, and imageing sensor links to each other with signal processing apparatus respectively with signal transducer.Image recognition technique is applied in the detection classification process of potato tubers outer damage, can be according to the difference of two kinds of stem tuber exterior color, shape and texture aspect, pick out the potato that the outside sustains damage, have that effectiveness of classification height, detection speed are fast, flexible and convenient operation, automaticity height, characteristics that versatility is wide.The present invention also is applicable to the detection graded operation of other tuber cropses.
Description of drawings
Fig. 1 is the general structure schematic diagram that detects grading plant based on the potato outer damage of image recognition of the present invention;
Among the figure: hopper 1, damage potato tubers 2, slide plate 3, side path 4, harmless potato tubers 5, shifting fork mechanism 6, stepper motor 7, the Material collecting box for harvesting 8 of horizontal feed passage afterbody, signal processing apparatus 9, signal transducer 10, imageing sensor 11, tested potato tubers 12, horizontal feed passage 13, potato tubers 14, collect the Material collecting box for harvesting 15 of damage stem tuber, inclination transfer passage 16.
The specific embodiment
Below in conjunction with accompanying drawing the embodiment of the invention is described in further detail.
Potato outer damage based on image recognition of the present invention detects grading plant, and its preferable specific embodiment is:
Comprise the horizontal feed passage of carrying potato tubers, one side of described horizontal feed passage is equipped with imageing sensor, the opposite side of described horizontal feed passage is provided with the side path of carrying the damage potato tubers, the position of the corresponding described side path in the top of described horizontal feed passage is equipped with shifting fork mechanism, described shifting fork mechanism is connected with stepper motor, described stepper motor is provided with signal transducer, and described imageing sensor links to each other with signal processing apparatus respectively with signal transducer.
This device also comprises hopper, and the below of described hopper is provided with the inclination transfer passage, and described inclination transfer passage links to each other with the horizontal feed passage.
The afterbody of described horizontal feed passage and side path is respectively equipped with Material collecting box for harvesting.
The afterbody of described side path is connected with Material collecting box for harvesting by slide plate.
The upper surface of described inclination transfer passage is open shape.
Specific embodiment:
As shown in Figure 1, device mainly comprises parts such as pay-off, conveying device, shifting fork mechanism 6, stepper motor 7, material-gathering device, signal processing apparatus 9, signal and imageing sensor 10,11.
1 time square neck material of hopper is installed with the inclination transfer passage 16 that the upper surface is open shape, inclination transfer passage 16 links to each other with horizontal feed passage 13, one side of horizontal feed passage 13 is equipped with imageing sensor 11, imageing sensor 11 links to each other with signal processing apparatus 9, the opposite side of horizontal feed passage 13 has side path 4, side path 4 is specifically designed to carries damage potato tubers 2, the position of the corresponding side path 4 in the top of horizontal feed passage 13 is equipped with shifting fork mechanism 6, the motion of shifting fork mechanism 6 is driven by stepper motor 7, stepper motor 7 links to each other with signal processing apparatus 9 by signal transducer 10, and the afterbody of horizontal feed passage 13 and side path 4 all has Material collecting box for harvesting 8,15.
The operation principle of specific embodiment is:
After trace routine starts, potato tubers 14 falls to horizontal feed passage 13 and travels forward successively into strips from hopper 1 along inclination transfer passage 16, when moving to imageing sensor 11 forward positions, the appearance images of tested potato tubers 12 is transported to signal processing apparatus 9 by sensor 11, by with signal processing apparatus 9 in image comparison, damage status to tested potato tubers 12 is judged, if judged result is damage, then the signal transducer 10 of signal processing apparatus 9 above being installed in stepper motor 7 sends signal, stepper motor 9 carries out clockwise rotation, once 90 degree are rotated in action, shifting fork mechanism 6 pulls over the potato of damage to side path 4, then, damage potato tubers 2 enters the Material collecting box for harvesting 15 that is used to collect the damage stem tuber through slide plate 3; If judged result is a not damaged, then signal transducer 10 no signals that are installed in above the stepper motor 7 of 9 pairs of signal processing apparatus are sent, stepper motor 7 is motionless, and harmless potato tubers 5 goes ahead along horizontal feed passage 13 and moves, and enters the Material collecting box for harvesting 8 of horizontal feed passage afterbody at last.
The present invention can realize the harmless fully of potato tubers and detect fast, can do further detection to the quality of potato after results, guarantees the marketing quality of potato, and potato tubers after tested can guarantee original quality fully.Simultaneously, the present invention not only can be used for detecting classification potato tubers outer damage situation, and the outer damage that also can be used for other tuber crops such as Ipomoea batatas, carrot, garlic etc. detects.Applied widely, more more accurate than naked-eye observation, and higher than manually picking operating efficiency.
The above; only for the preferable specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claims.
Claims (5)
1. the potato outer damage based on image recognition detects grading plant, it is characterized in that, comprise the horizontal feed passage of carrying potato tubers, one side of described horizontal feed passage is equipped with imageing sensor, the opposite side of described horizontal feed passage is provided with the side path of carrying the damage potato tubers, the position of the corresponding described side path in the top of described horizontal feed passage is equipped with shifting fork mechanism, described shifting fork mechanism is connected with stepper motor, described stepper motor is provided with signal transducer, and described imageing sensor links to each other with signal processing apparatus respectively with signal transducer.
2. the potato outer damage based on image recognition according to claim 1 detects grading plant, it is characterized in that this device also comprises hopper, and the below of described hopper is provided with the inclination transfer passage, and described inclination transfer passage links to each other with the horizontal feed passage.
3. the potato outer damage based on image recognition according to claim 2 detects grading plant, it is characterized in that the afterbody of described horizontal feed passage and side path is respectively equipped with Material collecting box for harvesting.
4. the potato outer damage based on image recognition according to claim 3 detects grading plant, it is characterized in that the afterbody of described side path is connected with Material collecting box for harvesting by slide plate.
5. the potato outer damage based on image recognition according to claim 2 detects grading plant, it is characterized in that the upper surface of described inclination transfer passage is open shape.
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| CN2011102026318A CN102259096A (en) | 2011-07-19 | 2011-07-19 | Image recognition based device for external damage detection and grading of potatoes |
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| CN2011102026318A CN102259096A (en) | 2011-07-19 | 2011-07-19 | Image recognition based device for external damage detection and grading of potatoes |
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| CN2011102026318A Pending CN102259096A (en) | 2011-07-19 | 2011-07-19 | Image recognition based device for external damage detection and grading of potatoes |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102921645A (en) * | 2012-11-19 | 2013-02-13 | 桂林电子科技大学 | Method and sorter for sorting momordica grosvenori based on image visual recognition |
| CN104056790A (en) * | 2013-03-19 | 2014-09-24 | 青岛农业大学 | Intelligent potato sorting method and apparatus |
| CN104941922A (en) * | 2015-06-25 | 2015-09-30 | 浙江大学 | Potato grading control method and device based on machine vision technology |
| CN106238342A (en) * | 2016-09-14 | 2016-12-21 | 郑州轻工业学院 | The sorting of panoramic vision Rhizoma Solani tuber osi and defect detecting device and sorting detection method thereof |
| CN106733701A (en) * | 2016-12-23 | 2017-05-31 | 郑州轻工业学院 | Potato multi-stage combination dysnusia detecting system and detection method |
| CN107282469A (en) * | 2017-05-26 | 2017-10-24 | 惠州市三协精密有限公司 | Magnet cutting agency and its magnet automatic charging detection device |
| CN107663652A (en) * | 2017-11-28 | 2018-02-06 | 鹿寨县贵盛茧丝工贸有限公司 | Divide cocoon cocoon picking apparatus |
| CN108940805A (en) * | 2018-08-08 | 2018-12-07 | 黑龙江八农垦大学 | A kind of potato full automatic grading cleaning and sorting system based on light spectrum image-forming |
| CN109328533A (en) * | 2018-12-05 | 2019-02-15 | 岭南师范学院 | A kind of potato automation essence amount seed selection vernalization system |
| CN109864309A (en) * | 2019-04-18 | 2019-06-11 | 河南科技大学 | A kind of apple juicing system |
| CN111229620A (en) * | 2020-01-15 | 2020-06-05 | 河北科技大学 | Feeding wheel sorting device of woodworking feeder |
| CN112657867A (en) * | 2020-12-22 | 2021-04-16 | 嘉兴罗思科技有限公司 | Roller type optical detection equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102921645A (en) * | 2012-11-19 | 2013-02-13 | 桂林电子科技大学 | Method and sorter for sorting momordica grosvenori based on image visual recognition |
| CN104056790A (en) * | 2013-03-19 | 2014-09-24 | 青岛农业大学 | Intelligent potato sorting method and apparatus |
| CN104941922B (en) * | 2015-06-25 | 2017-04-26 | 浙江大学 | Potato grading control device based on machine vision technology |
| CN104941922A (en) * | 2015-06-25 | 2015-09-30 | 浙江大学 | Potato grading control method and device based on machine vision technology |
| CN106238342B (en) * | 2016-09-14 | 2018-05-15 | 郑州轻工业学院 | Panoramic vision potato sorts and defect detecting device and its sorting detection method |
| CN106238342A (en) * | 2016-09-14 | 2016-12-21 | 郑州轻工业学院 | The sorting of panoramic vision Rhizoma Solani tuber osi and defect detecting device and sorting detection method thereof |
| CN106733701A (en) * | 2016-12-23 | 2017-05-31 | 郑州轻工业学院 | Potato multi-stage combination dysnusia detecting system and detection method |
| CN106733701B (en) * | 2016-12-23 | 2018-05-22 | 郑州轻工业学院 | Potato multi-stage combination dysnusia detecting system and detection method |
| CN107282469A (en) * | 2017-05-26 | 2017-10-24 | 惠州市三协精密有限公司 | Magnet cutting agency and its magnet automatic charging detection device |
| CN107663652A (en) * | 2017-11-28 | 2018-02-06 | 鹿寨县贵盛茧丝工贸有限公司 | Divide cocoon cocoon picking apparatus |
| CN108940805A (en) * | 2018-08-08 | 2018-12-07 | 黑龙江八农垦大学 | A kind of potato full automatic grading cleaning and sorting system based on light spectrum image-forming |
| CN109328533A (en) * | 2018-12-05 | 2019-02-15 | 岭南师范学院 | A kind of potato automation essence amount seed selection vernalization system |
| CN109864309A (en) * | 2019-04-18 | 2019-06-11 | 河南科技大学 | A kind of apple juicing system |
| CN111229620A (en) * | 2020-01-15 | 2020-06-05 | 河北科技大学 | Feeding wheel sorting device of woodworking feeder |
| CN111229620B (en) * | 2020-01-15 | 2021-03-30 | 河北科技大学 | Feeding wheel sorting device of woodworking feeder |
| CN112657867A (en) * | 2020-12-22 | 2021-04-16 | 嘉兴罗思科技有限公司 | Roller type optical detection equipment |
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Application publication date: 20111130 |