CN205762405U - Sorting unit for online Non-Destructive Testing Apple Mould Core equipment - Google Patents

Abstract

nullA kind of sorting unit for online Non-Destructive Testing Apple Mould Core equipment，Including detection conveyer，It is provided with some Fructus Mali pumilae pallets on the conveyer belt of detection conveyer，It is characterized in that，Detection conveyer is provided with photographic head and detection black box，The spectral detection module arranged in detection black box carries out spectral detection to the Fructus Mali pumilae through detection black box，Rear class at detection conveyer is provided with weighing unit，Complete the entrance weighing unit of the Fructus Mali pumilae after detection to weigh，Weighing unit rear class is provided with inclined-plane sortation conveyor，According to testing result with weigh and size carries out fruit sorting，This utility model is based near infrared detection technology，Achieve Apple Mould Core on-line checking，Reduce transmission light path and the impact on spectral detection of the Fructus Mali pumilae density，The reliability of the adjustment model is high，Improve disease discriminant accuracy，Autonomous test speed is only 1 2s，Disclosure satisfy that detection demand on line，Morbidity Fructus Mali pumilae can be effectively identified during Fructus Mali pumilae material storage，Reduce production and processing and storage phase sickness rate，Quality assurance.

Description

Sorting unit for online Non-Destructive Testing Apple Mould Core equipment

Technical field

This utility model belongs to agricultural technical field of intelligent equipment, particularly to for online Non-Destructive Testing Herba Marsileae Quadrifoliae The sorting unit of the most mould cardiopathia equipment.

Background technology

Apple Mould Core is as common apple disease, and after morbidity, fruit starts to decay from ventricle, gradually to External expansion, time serious, whole fruit is mouldy rots.Mould cardiopathia their early stage fruit appearance without obvious characteristic, And disease morbidity is from inside to outside, how it is difficult to disease is identified in picking fruit and sorting link Detect mould cardiopathia Fructus Mali pumilae and have become as a great problem in fruit qualification and deep-processing process, if it is possible to be logical Cross lossless mode effectively mould cardiopathia to be identified, nutrient quality will be effectively improved, to improving China Apple Industry quality and benefits important in inhibiting.

In recent years, along with nutrient quality and food-safety problem increasingly receive publicity, association area expert Mechanism and detection method to Apple Mould Core carry out further investigation, from bio-impedance characteristic, machine vision, The detection of mould cardiopathia is explored by the aspects such as optical characteristics, there are some researches show, based on bio-impedance characteristic Defect inspection owing to affecting the many factors of impedance, detection difficulty is relatively big, and Machine Vision Detection was analyzed Journey is complicated, time-consuming, and there is no the appropriate detecting instrument detected for mould cardiopathia at present.Spectrum divides Analysis technology has the advantage that other technologies are incomparable when processing the object that can not contact and mustn't damage, Fruit Non-Destructive Testing is applied more.Near-infrared analysis has had both visual field spectrum analysis signal and has easily obtained Take and ultrared spectral analysis information amount abundant both sides advantage, at organic substance qualitative and quantitative analysis In the most effective.Defect inspection based on light characteristic mainly uses near-infrared spectral analysis technology, according to thing Matter characteristic absorption peak carries out disease differentiation, and precision is high, effective, but data analysis and model are set up multiple Miscellaneous, many employing special-purpose computers carry out Data Analysis Services, and spectrogrph price is high, it is difficult to will research The popularization and application in actual Fruits production is processed of achievement equipment.

Summary of the invention

In order to overcome the shortcoming of above-mentioned prior art, the purpose of this utility model be to provide a kind of for The sorting unit of line Non-Destructive Testing Apple Mould Core equipment, can on line after Non-Destructive Testing Apple Mould Core, By Fructus Mali pumilae automatic sorting, there is low cost, simple to operate, automatically carry out the features such as disease differentiation and sorting.

To achieve these goals, the technical solution adopted in the utility model is:

A kind of sorting unit for online Non-Destructive Testing Apple Mould Core equipment, including detection conveyer 8, It is provided with some Fructus Mali pumilae pallets 9 on the conveyer belt of detection conveyer 8, detection conveyer 8 is provided with Photographic head 1 and detection black box 2, the spectral detection module 15 arranged in detection black box 2 is to black through detection The Fructus Mali pumilae of case 2 carries out spectral detection, and the rear class at detection conveyer 8 is provided with weighing unit 4, completes inspection Fructus Mali pumilae after survey enters weighing unit 4 and weighs, and weighing unit 4 rear class is provided with inclined-plane sortation conveyor 6, root According to testing result with weigh and size carries out fruit sorting.

Described Fructus Mali pumilae pallet 9 does process of caving in, on the conveyor belt along the single setting of conveying direction, described Before photographic head 1 is arranged on detection black box 2, identifications of taking pictures the Fructus Mali pumilae of process, by result conveying Its size is judged to processor.

It is provided with cross slid platform 10 in described detection black box 2, the vertical direction of cross slid platform 10 is two Individual coaxial stepping slide unit motor, horizontal direction is a reverse lead screw motor, coaxial stepping slide unit motor Driving reverse lead screw motor to move at vertical direction, spectral detection module 15 is fixed on reverse silk by support The two ends of bar motor.

Described spectral detection module 15 includes light source and receives device, and light source uses centre wavelength to be 710nm, Half band-width is the LED of 20nm, running voltage 3.4V, light source angle of scattering 120 °；Reception device is adopted With avalanche diode as Sensitive Apparatus, employing filter amplification circuit is as signal processing circuit, by adopting Transmitted light intensity is converted to the signal of telecommunication by original mold block, obtains intensity in transmission M, it determines model is:When result is 0, then it is healthy fruit, when result is 1, is then Mould cardiopathia fruit, wherein,

For Largrange coefficient, b^*For weight matrix,X is input sample This, x_iFor supporting vector, x_i=[M_i,P_i,R_i,G_i]^T,=1,2 ..., y_i=1, δ are geometry intervals, M_iIt it is sample Product intensity in transmission, P_iIt is sample fruit shape index, R_iIt is sample diameter, G_iIt it is sample quality.

Being provided with front plectrum 3 and rear plectrum 5 on described weighing unit 4, Fructus Mali pumilae is under the effect of front plectrum 3 Enter weighing unit 4 from detection conveyer 8, under the effect of rear plectrum 5, enter inclined-plane from weighing unit 4 divide Select conveyer 6.

It is provided with some lattice shelves on described inclined-plane sortation conveyor 6, depends on along conveying direction in the lower section on inclined-plane Secondary be provided with No. one outlet 12, No. two outlet 13 and No. three outlet 14, each exit is provided with work Dynamic baffle plate 7.

The entrance chi footpath of described No. two outlets 13 is 70mm, and the entrance chi footpath of described No. three outlets 14 is big In 70mm.

Described photographic head 1, weighing unit 4 and spectral detection module 15 are all connected with processor, described process The control end of device connects each sideboard 7, the testing result input processing of described spectral detection module 15 Device, if processor judges that it is mould cardiopathia fruit, then opens the sideboard 7 of an outlet 12 so that Mould cardiopathia fruit enters an outlet 12, the recognition result input processor of described photographic head 1, if processed Device judges that the sideboard 7 of No. two outlets 13 less than 70mm, is then opened in its chi footpath so that mould cardiopathia fruit Enter No. two outlets 13, if processor judges that No. three outlets 14 more than 70mm, are then opened in its chi footpath Sideboard 7 so that mould cardiopathia fruit enter No. three outlet 14.

Compared with prior art, the beneficial effects of the utility model are:

This utility model is based near infrared detection technology, it is proposed that Apple Mould Core online test method, from Main design Apple Mould Core sorting unit, detection speed is only 1-2s, it is possible to meet detection demand on line, Non-Destructive Testing etection theory on Apple Mould Core line and method are provided new thinking, enters at Fructus Mali pumilae raw material Morbidity Fructus Mali pumilae be can effectively identify during storehouse, production and processing and storage phase sickness rate, quality assurance reduced.

Autonomous Design narrow-band LED light source and detecting system, detection sensitivity is high, it is possible to replace existing disease Spectrogrph on sorting line, effectively reduces equipment cost.

This utility model can be used for the sorting of online Non-Destructive Testing Apple Mould Core equipment, the most lossless inspection After surveying Apple Mould Core, by Fructus Mali pumilae automatic sorting.

Accompanying drawing explanation

Fig. 1 is the relation schematic diagram of Fructus Mali pumilae transmitted spectrum and occurring degree.

Fig. 2 is the structural representation of this utility model sorting unit.

Fig. 3 is the structural representation of this utility model detection black box.

Fig. 4 is this utility model high-frequency drive modular structure schematic diagram.

Fig. 5 is that this utility model discrimination model builds schematic diagram.

Fig. 6 is this utility model training result schematic diagram.

Detailed description of the invention

Embodiment of the present utility model is described in detail below in conjunction with the accompanying drawings with embodiment.

Theoretical foundation of the present utility model:

In the range of near infrared band, specific atom group all has corresponding characteristic absorption peak, and light quilt The ratio absorbed meets Lambert-Beer's law.After Apple Mould Core morbidity, the substance classes of apple internal, Each material proportion all changes, and absorption, reflection and the scattering power of spectrum is caused appreciable impact, Thus cause NIR transmittance spectroscopy curve different.Apple Mould Core transmittance spectra data collection is built in test Platform, uses 1 50w height light focusing halide lamp to use portable spectrometer as light source, spectrogrph OFS1100 (Ocean Optics company), for getting rid of ambient light interference, test all completes in camera bellows, Camera bellows inwall uses sub-light to spray paint, and uses extinction sponge to reduce the light interference such as diffuse-reflectance simultaneously.Test Herba Marsileae Quadrifoliae Really totally 304, sample, number to each Fructus Mali pumilae and measure its weight, fruit stem direction height, equatorial direction Diameter, utilizes detection platform 304 apple sample carry out spectral measurement and cuts at fruit stem, takes examination Test sample analysis its spectroscopic data such as Fig. 1 that in disease fruit, occurring degree is different, healthy fruit can be obtained at wavelength Near 710nm, permeability is good, and sick fruit permeability near wavelength 710nm is poor, and along with degree of disease and Permeability becomes negative correlativing relation, and with mould cardiopathia disease, test gained Fructus Mali pumilae spectroscopic data is done correlation analysis Obtain table 1.

The mould cardiopathia of table 1 and the relation of transmitted spectrum

Sequence number	Wave band	Correlation coefficient	Sequence number	Wave band	Correlation coefficient
						1	709.36	-0.720	6	711.14	-0.711
2	709.8	-0.719	7	708.47	-0.711
						3	708.91	-0.717	8	708.02	-0.710
4	710.69	-0.715	9	706.69	-0.709
						5	710.25	-0.713	10	707.58	-0.705

Wave band the strongest with mould cardiopathia dependency in Fructus Mali pumilae transmitted spectrum is 706-710nm near zone, its In at 709nm correlation maximum, the characteristic wave bands relevant to Apple Mould Core the most finally chosen be 709nm.Simultaneously according to lambert's beer's law, in Fructus Mali pumilae detection direction i.e. equatorial direction, fruit footpath difference causes The distance of light spacing spectral receiver part, i.e. the change of light path, the Different Effects light of Fructus Mali pumilae density is saturating Cross ability, also detection is affected greatly, there are some researches show, with height on fruit footpath and fruit stem direction Ratio and weight i.e. fruit type index can Efficient Characterization density information.Therefore and above-mentioned principle, Know that spectral transmission absorption intensity and fruit type index, weight just can accurately differentiate Apple Mould Core disease.

As in figure 2 it is shown, the apple sorting device of this utility model mould cardiopathia of a kind of online Non-Destructive Testing, bag Including detection conveyer 8, conveyer belt material uses PVC belt, belt is provided with Fructus Mali pumilae pallet 9, torr Doing process of caving in dish, tray bottom is bolted on conveyer, and detection conveyer 8 drives Herba Marsileae Quadrifoliae Fructus Mali pumilae on hypocarp dish 9 moves, and photographic head 1 is fixed in detection, takes pictures model to through photographic head Enclosing interior Fructus Mali pumilae and carry out identification of taking pictures, detection black box 2 carries out the disease ginsengs such as spectrum to the Fructus Mali pumilae entering black box Number detection, it is internal that cross slid platform 10 is placed on black box 2, is bolted on black box inwall, wherein It is coaxial motor on vertical direction, drives the reverse lead screw motor being fixed on slide unit to move at vertical direction, Spectral detection module 15 is fixed on reverse screw mandrel by support, and Fructus Mali pumilae carries out each on detection conveyer 8 After item detection, under the effect of front plectrum 3, on detection conveyer 8, entering weighing unit 4, rear plectrum 5 After detection of weighing completes, Fructus Mali pumilae is released weighing unit 4, enters inclined-plane sortation conveyor 6, according to each Herba Marsileae Quadrifoliae Really the difference of testing result and size dimension carries out fruit sorting, mould cardiopathia fruit when by sorting line, one Number outlet 12 on switch open, under gravity, mould cardiopathia fruit roll out sorting line enter an outlet, Healthy fruit is less than 70mm with more than 70mm according to diameter different demarcation, really footpath entering less than 70mm Enter No. two outlets 13, the entrance more than 70mm three outlet 14.

In this utility model, photographic head 1 uses the PC CAMERA of Hong Kong nine ancient cooking vessel company, passes through USB Sampled image information is uploaded to processor by the mode of transmission, uses OPENCV database technology to set up base In the analysis program of C+++ language, obtained height H and the equatorial direction of Fructus Mali pumilae to be measured by program analysis Really footpath R, thus obtain fruit shape index P=H/R.

Weighing unit 4 is a part for weighing platform 11, and weighing platform 11 core uses the split type of Chaoyang instrument company Electronic balance, measures range 1kg, and certainty of measurement 0.01, data can be uploaded to processor by serial ports and enter Row data preserve and process, and scale pan both sides are respectively provided with front plectrum 3 and rear plectrum 5, and plectrum is by Lei Saigong 42 type motors of department, thunder plug drive module DM320C and plectrum body composition, by front plectrum 3 Push on weighing unit 4, it carried out weight measurement, obtain Fructus Mali pumilae weight G, weight measurement complete after again Pushed on inclination conveyer belt 6 by 5 Fructus Mali pumilaes of rear plectrum.

Tilt conveyer belt 6 10 ° of conveyer belt angle of inclination, inclined plane lower end arrange sideboard 7 and A number outlet 13, No. three outlets 14 of 12, No. two outlets, host computer carries out disease according to Fructus Mali pumilae feature and sentences Not with classification, it is allowed to fall in different outlets according to its different characteristic, when Fructus Mali pumilae entered its coupling outlet Time, the sideboard 7 in exit rises, and Fructus Mali pumilae rolls into this outlet.

As it is shown on figure 3, detection black box 2 detects darkroom for shading, it is internally provided with cross slid platform 10, if Put the stepping slide unit motor on two vertical directions and the reverse lead screw motor in a horizontal direction, reversely Lead screw motor two ends are with light transmission detection module 15.

Light transmission detection module 15 is made up of light source and reception device, and light source uses centre wavelength to be 710nm, Half band-width is the LED of 20nm, running voltage 3.4V, light source angle of scattering 120 °, based on NSI45030AZT1 current regulator diode builds LED high frequency drive circuit, its circuit such as Fig. 4.Receive dress Put employing avalanche diode, to lead to as signal processing circuit as Sensitive Apparatus, employing filter amplification circuit Transmitted light intensity is converted to the signal of telecommunication by over-sampling module, obtains intensity in transmission M.

Discriminant function:

Wherein,For Largrange coefficient, b^*For weight matrix,X is defeated Enter sample, x_iFor supporting vector, x_i=[M_i,P_i,R_i,G_i]^T, i=1,2 ..., y_i=1, δ are geometry intervals, M_iIt is sample transmission intensity, P_iIt is sample fruit shape index, R_iIt is sample diameter, G_iIt it is sample quality.

Method of discrimination:

If sample Fructus Mali pumilae is { (X_i,Y_i), i=1,2 ..., l}, X_iNumber for Fructus Mali pumilae, Y_iFor Fructus Mali pumilae health condition, Y_i =0 is healthy fruit, Y_i=1 is mould cardiopathia fruit.

There is Optimal Separating Hyperplane

wx_i+ b=0 (1)

Fructus Mali pumilae correctly can be divided into two classes according to disease.Wherein w, b are one-dimensional parameter vector, definition Sample point X_iInterval ε to the Optimal Separating Hyperplane of formula (1) indication_iFor

ε_i=y_i(wx_i+ b)=| wx_i+b| (2)

W and b in (2) is normalized, and the interval after normalization is defined as geometry interval

${\mathrm{\δ}}_i=\frac{{\mathrm{wx}}_i+b}{\left|\right|w\left|\right|}---\left(3\right)$

Even if the geometry interval δ of the optimum sample set of classification performance and Optimal Separating Hyperplane_iMaximum, i.e. problem convert For

$\left\{\begin{array}{c}\min \frac{\left|\right|w|{|}^2}{2}\\ s.t.y_i({\mathrm{wx}}_i+b)\≥1,i=1,2,\mathrm{...}l\end{array}\right.---\left(4\right)$

Owing to calculating complexity, the most do not carry out direct solution, according to Largrange duality theory by formula (4) It is converted into dual problem,

$\left\{\begin{array}{c}\max Q\left(\mathrm{\α}\right)={\Σ}_{i=1}^l{\mathrm{\α}}_i-{\Σ}_{i=1}^l{\Σ}_{j=1}^l{\mathrm{\α}}_i{\mathrm{\α}}_j\left(x_i{x}_j\right)\\ s.t.{\Σ}_{i=1}^l{\mathrm{\α}}_i{y}_i=0,{\mathrm{\α}}_i\≥0\end{array}\right.---\left(5\right)$

When solving dual problem, need to calculate the dot product of sample point vector, use and meet Mercer condition Kernel function K (x_i,x_j) replace dot-product operation can simplify calculating, improving processing speed, then formula 5 is converted into:

$\left\{\begin{array}{c}\max Q\left(\mathrm{\α}\right)={\Σ}_{i=1}^l{\mathrm{\α}}_i-\frac{1}{2}{\Σ}_{i=1}^l{\Σ}_{j=1}^l{\mathrm{\α}}_i{\mathrm{\α}}_j(x_i,x_j)\\ s.t.\{\begin{array}{c}{\Σ}_{i=1}^l{\mathrm{\α}}_i{y}_i=0\\ 0\≤{\mathrm{\α}}_i\≤C\end{array},\mathrm{\α}\≥0\end{array}\right.---\left(6\right)$

The optimal solution that can be solved by formula 6 is:

${\mathrm{\α}}^{*}={\[{\mathrm{\α}}_1^{*},{\mathrm{\α}}_2^{*},\mathrm{...}{\mathrm{\α}}_l^{*}\]}^T$

$w^{*}=\underset{i=1}{\overset{l}{\Σ}}{\mathrm{\α}}_i^{*}{y}_i\mathrm{\Φ}\left(x_i\right)$

Thus final discriminant function:

Based on MFC Technology design discriminating program in C Plus Plus environment, by calling Matlab software Each item data input SVM algorithm program that detection is recorded by interface differentiates.

Support vector machine (Support Vector Machine) is a kind of according to Statistical Learning Theory proposition A kind of new learning method, it is according to empirical risk minimization, to maximize class interval structure Excellent hyperplane, when SVM solves Nonlinear Classification problem, realizes low cheg dimension sky by introducing kernel function Between convert to higher dimensional space, operand little and and the dimension of sample be unrelated, its model parameter bag simultaneously Include punishment parameter C, Radial basis kernel function parameter g, exponent number p, stop training error ε etc., wherein punish Penalty factor C is a coefficient being gone by user to specify, and represents and adds the point of error in judgement when model training Entering how many punishment, when C improves in the reasonable scope when, the point of misclassification can substantially reduce, at sample When notebook data is unbalanced or needs artificially to adjust, can be effectively improved by the optimizing to model parameter C Precision of prediction.Radial basis kernel function parameter g is the feature that Nonlinear separability sample is transformed into linear separability Space, the Optimal Separating Hyperplane that different Selection of kernel functions can make SVM model produce is different, produces bigger Diversity, the performance of SVM model is had directly impact.

In this utility model, Apple Mould Core classification problem belongs to Nonlinear Classification, due to the fruit morbidity of mould cardiopathia Process from inside to outside, is distinguished with normal fruit from being difficult in appearance, cause in sample healthy fruit and disease fruit than Example numerous imbalances, nonterminal character wave band extracts in test, healthy fruit 250 in 304 samples, sick fruit Only 54, good fruit bad fruit ratio reaches 5:1, sample ratio serious unbalance, and the selection to modeling method carries Go out very high request.For practical situation, this project selects SVM algorithm to carry out model construction, arranges Penalty factor, eliminates the unbalance impact on discrimination model of sample number.

By quantity of parameters optimizing, finally setting in discrimination model that good fruit penalty factor is as 1, bad fruit is punished The factor 1.53, it is possible to reduce the bad few impact on model construction of fruit sample number, model construction flow chart such as figure Shown in 5.Extract test data according to nonterminal character, use support vector machine to be trained, finally obtain Mould cardiopathia discrimination model, training set differentiates accuracy rate 100%, and training set differentiates accuracy rate 92.3%, training Result such as figure institute 6 shows, only sentences wrong 1 sample, and training error is less, it determines performance is good, can conduct Mould cardiopathia sorting line discrimination model.

Claims (8)

1. for a sorting unit for online Non-Destructive Testing Apple Mould Core equipment, including detection conveyer (8), the conveyer belt of detection conveyer (8) is provided with some Fructus Mali pumilae pallets (9), in detection conveying Photographic head (1) and detection black box (2), the light arranged in detection black box (2) it is provided with on machine (8) Spectrum detection module (15) carries out spectral detection to the Fructus Mali pumilae through detection black box (2), it is characterised in that Rear class in detection conveyer (8) is provided with weighing unit (4), completes the entrance of the Fructus Mali pumilae after detection and weighs Platform (4) is weighed, and weighing unit (4) rear class is provided with inclined-plane sortation conveyor (6), according to testing result With weigh and size carries out fruit sorting.

The most according to claim 1 for the sorting unit of online Non-Destructive Testing Apple Mould Core equipment, It is characterized in that, described Fructus Mali pumilae pallet (9) does process of caving in, single along conveying direction on the conveyor belt Arrange, before described photographic head (1) is arranged on detection black box (2), the Fructus Mali pumilae of process is taken pictures Identify, result is delivered to processor and judges its size.

The most according to claim 1 for the sorting unit of online Non-Destructive Testing Apple Mould Core equipment, It is characterized in that, in described detection black box (2), be provided with cross slid platform (10), cross slid platform (10) Vertical direction on be two coaxial stepping slide unit motors, horizontal direction is a reverse lead screw motor, The coaxial stepping reverse lead screw motor of slide unit driven by motor is moved at vertical direction, spectral detection module (15) The two ends of reverse lead screw motor it are fixed on by support.

The most according to claim 3 for the sorting unit of online Non-Destructive Testing Apple Mould Core equipment, It is characterized in that, described spectral detection module (15) includes light source and receives device, and light source uses center Wavelength is 710nm, and half band-width is the LED of 20nm, running voltage 3.4V, light source angle of scattering 120 °； Receiving device uses avalanche diode as Sensitive Apparatus, uses filter amplification circuit as signal processing electricity Road, is converted to the signal of telecommunication by sampling module by transmitted light intensity, obtains intensity in transmission.

The most according to claim 1 for the sorting unit of online Non-Destructive Testing Apple Mould Core equipment, It is characterized in that, described weighing unit (4) is provided with front plectrum (3) and rear plectrum (5), and Fructus Mali pumilae exists Weighing unit (4) is entered from detection conveyer (8), in rear plectrum (5) under the effect of front plectrum (3) Effect under from weighing unit (4) enter inclined-plane sortation conveyor (6).

The most according to claim 1 for the sorting unit of online Non-Destructive Testing Apple Mould Core equipment, It is characterized in that, described inclined-plane sortation conveyor (6) is provided with some lattice shelves, on the edge, lower section on inclined-plane Conveying direction is disposed with an outlet (12), No. two outlets (13) and No. three outlets (14), Each exit is provided with sideboard (7).

The most according to claim 6 for the sorting unit of online Non-Destructive Testing Apple Mould Core equipment, It is characterized in that, the entrance chi footpath of described No. two outlets (13) is 70mm, described No. three outlets (14) Entrance chi footpath more than 70mm.

The most according to claim 6 for the sorting unit of online Non-Destructive Testing Apple Mould Core equipment, It is characterized in that, described photographic head (1), weighing unit (4) and spectral detection module (15) all with place Reason device connects, and the control end of described processor connects each sideboard (7), described spectral detection module (15) testing result input processor, if mould cardiopathia fruit, then processor output control signal is beaten Open the sideboard (7) of an outlet (12) so that mould cardiopathia fruit enters an outlet (12), institute Stating the recognition result input processor of photographic head (1), if its chi footpath is less than 70mm, then processor is defeated Go out control signal and open the sideboard (7) of No. two outlets (13) so that mould cardiopathia fruit enters No. two and goes out Mouth (13), if its chi footpath is more than 70mm, then processor output control signal opens No. three outlets (14) Sideboard (7) so that mould cardiopathia fruit enter No. three outlets (14).