CN202174066U - Device for detecting and grading external damages of potatoes based on image identification - Google Patents
Device for detecting and grading external damages of potatoes based on image identification Download PDFInfo
- Publication number
- CN202174066U CN202174066U CN 201120255638 CN201120255638U CN202174066U CN 202174066 U CN202174066 U CN 202174066U CN 201120255638 CN201120255638 CN 201120255638 CN 201120255638 U CN201120255638 U CN 201120255638U CN 202174066 U CN202174066 U CN 202174066U
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- potato
- horizontal feed
- potato tubers
- feed passage
- image recognition
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Abstract
The utility model discloses a device for detecting and grading external damages of potatoes based on image identification. The device comprises a horizontal conveying channel for conveying potato tubers, wherein an image sensor is mounted at one side of the horizontal conveying channel and a lateral channel for conveying damaged potato tubers is arranged at the other side of the horizontal conveying channel; a shifting fork mechanism is mounted at the position, which is opposite to the lateral channel, at the upper part of the horizontal conveying channel; the shifting fork mechanism is connected with a step motor; the step motor is provided with a signal sensor; and the image sensor and the signal sensor are respectively connected with a signal processing device. By applying the image identification technology to a process for detecting and grading the external damages of the potato tubers, the device can be used for sorting the potatoes with the external damages according to differences between ordinary potato tubers and the potato tubers with the external damages in color, shape and texture, and the advantages of high grading precision, high detection speed, flexible and convenient operation, high automation degree and wide generality.
Description
Technical field
The utility model relates to a kind of potato outer damage checkout gear, relates in particular to a kind of potato outer damage based on image recognition and detects grading plant.
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, need the potato tubers of outer damage 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 the utility model provides a kind of potato outer damage based on image recognition easy to operate, quick, that efficient is high and detects grading plant.
The purpose of the utility model realizes through following technical scheme:
The potato outer damage based on image recognition of the utility model detects grading plant; Comprise the horizontal feed passage of carrying potato tubers; One side of said horizontal feed passage is equipped with imageing sensor; The opposite side of said horizontal feed passage is provided with the side path of carrying the damage potato tubers, and the position of the corresponding said side path in the top of said horizontal feed passage is equipped with shifting fork mechanism, and said shifting fork mechanism is connected with stepper motor; Said stepper motor is provided with signal transducer, and said imageing sensor links to each other with signal processing apparatus respectively with signal transducer.
Technical scheme by above-mentioned the utility model provides can be found out; The potato outer damage based on image recognition that the utility model provides 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, and the position of the corresponding said side path in the top of horizontal feed passage is equipped with shifting fork mechanism, and 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, a flexible and convenient operation, automaticity is high, versatility is wide characteristics.The utility model also is applicable to the detection graded operation of other tuber cropses.
Description of drawings
Fig. 1 be the utility model detect the general structure sketch map of grading plant based on the potato outer damage of image recognition;
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 is collected the Material collecting box for harvesting 15 that damages stem tuber, inclination transfer passage 16.
The specific embodiment
To combine accompanying drawing that the utility model embodiment is done to describe in detail further below.
The potato outer damage based on image recognition of the utility model detects grading plant, and its preferable specific embodiment is:
Comprise the horizontal feed passage of carrying potato tubers; One side of said horizontal feed passage is equipped with imageing sensor; The opposite side of said horizontal feed passage is provided with the side path of carrying the damage potato tubers, and the position of the corresponding said side path in the top of said horizontal feed passage is equipped with shifting fork mechanism, and said shifting fork mechanism is connected with stepper motor; Said stepper motor is provided with signal transducer, and said imageing sensor links to each other with signal processing apparatus respectively with signal transducer.
This device also comprises hopper, and the below of said hopper is provided with the inclination transfer passage, and said inclination transfer passage links to each other with the horizontal feed passage.
The afterbody of said horizontal feed passage and side path is respectively equipped with Material collecting box for harvesting.
The afterbody of said side path is connected with Material collecting box for harvesting through slide plate.
The upper surface of said inclination transfer passage is open shape.
Specific embodiment:
As shown in Figure 1, device mainly comprises parts such as pay-off, transport, 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, and the opposite side of horizontal feed passage 13 has side path 4, and 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, and stepper motor 7 links to each other with signal processing apparatus 9 through 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 started, potato tubers 14 fell 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; Through with signal processing apparatus 9 in image comparison, the damage status of tested potato tubers 12 is judged, if judged result for the 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, and once 90 degree are rotated in action, and shifting fork mechanism 6 pulls over the potato of damage to side path 4; Then, damage potato tubers 2 gets into 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 gets into the Material collecting box for harvesting 8 of horizontal feed passage afterbody at last.
The utility model can be realized the harmless fully of potato tubers and detect fast, can after results, do further detection to the quality of potato, guarantees the marketing quality of potato, and potato tubers after tested can guarantee original quality fully.Simultaneously, the utility model 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 it is higher to pick operating efficiency than manual work.
The above; Be merely the preferable specific embodiment of the utility model; But the protection domain of the utility model is not limited thereto; Any technical staff who is familiar with the present technique field is in the technical scope that the utility model discloses, and the variation that can expect easily or replacement all should be encompassed within the protection domain of the utility model.Therefore, the protection domain of the utility model 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, a side of said horizontal feed passage is equipped with imageing sensor, and the opposite side of said horizontal feed passage is provided with the side path of carrying the damage potato tubers; The position of the corresponding said side path in the top of said horizontal feed passage is equipped with shifting fork mechanism; Said shifting fork mechanism is connected with stepper motor, and said stepper motor is provided with signal transducer, and said 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 said hopper is provided with the inclination transfer passage, and said 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 said 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 said side path is connected with Material collecting box for harvesting through 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 said inclination transfer passage is open shape.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201120255638 CN202174066U (en) | 2011-07-19 | 2011-07-19 | Device for detecting and grading external damages of potatoes based on image identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201120255638 CN202174066U (en) | 2011-07-19 | 2011-07-19 | Device for detecting and grading external damages of potatoes based on image identification |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202174066U true CN202174066U (en) | 2012-03-28 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN 201120255638 Expired - Fee Related CN202174066U (en) | 2011-07-19 | 2011-07-19 | Device for detecting and grading external damages of potatoes based on image identification |
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| CN (1) | CN202174066U (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102259096A (en) * | 2011-07-19 | 2011-11-30 | 中机美诺科技股份有限公司 | Image recognition based device for external damage detection and grading of potatoes |
| CN103785622A (en) * | 2014-01-28 | 2014-05-14 | 浙江理工大学 | Machine-vision-based part sorting device and method |
| CN105414047A (en) * | 2015-11-26 | 2016-03-23 | 荣昌精密机械(苏州)有限公司 | Full-automatic online size separation mechanism |
| CN106000925A (en) * | 2016-07-07 | 2016-10-12 | 苏州卫捷医药科技有限公司 | Rotary type material shifting mechanism of intelligent allocated medicine sorting system |
| CN107350163A (en) * | 2017-08-28 | 2017-11-17 | 宁夏大学 | A kind of potato automatic classification output device and method |
-
2011
- 2011-07-19 CN CN 201120255638 patent/CN202174066U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102259096A (en) * | 2011-07-19 | 2011-11-30 | 中机美诺科技股份有限公司 | Image recognition based device for external damage detection and grading of potatoes |
| CN103785622A (en) * | 2014-01-28 | 2014-05-14 | 浙江理工大学 | Machine-vision-based part sorting device and method |
| CN103785622B (en) * | 2014-01-28 | 2015-12-30 | 浙江理工大学 | Based on the part method for sorting of the part sorting equipment of machine vision |
| CN105414047A (en) * | 2015-11-26 | 2016-03-23 | 荣昌精密机械(苏州)有限公司 | Full-automatic online size separation mechanism |
| CN106000925A (en) * | 2016-07-07 | 2016-10-12 | 苏州卫捷医药科技有限公司 | Rotary type material shifting mechanism of intelligent allocated medicine sorting system |
| CN107350163A (en) * | 2017-08-28 | 2017-11-17 | 宁夏大学 | A kind of potato automatic classification output device and method |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120328 Termination date: 20170719 |