CN104148301A - Waste plastic bottle sorting device and method on basis of cloud computing and image recognition - Google Patents
Waste plastic bottle sorting device and method on basis of cloud computing and image recognition Download PDFInfo
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- CN104148301A CN104148301A CN201410325658.XA CN201410325658A CN104148301A CN 104148301 A CN104148301 A CN 104148301A CN 201410325658 A CN201410325658 A CN 201410325658A CN 104148301 A CN104148301 A CN 104148301A
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Abstract
The invention discloses a waste plastic bottle sorting device and method on the basis of cloud computing and image recognition. The sorting device comprises a conveying mechanism, a recognizing unit and a sorting mechanism; the conveying mechanism is used for horizontally putting accumulated waste plastic bottles and then conveying into the recognizing unit; the recognizing unit comprises a recognizing box, an image collector that is arranged on the recognizing box, and a server that is connected with the image collector; the server is equipped with a bar code database and a waste plastic bottle sorting module, wherein the waste plastic bottle sorting module is used for positioning and recognizing an image collected by the image collector through a bar code, inquiring in the bar code database according to the recognition result, and then determining the color and texture of the plastic bottles; the sorting device is used for sorting the plastic bottles according to the plastic bottle color and texture as determined by the server. With the adoption of the device and method, the texture and color of the plastic bottles can be recognized at the same time, thus the waste plastic bottles can be sorted by color and texture, and the technical problem of the prior art that single equipment can only be used for sorting by color or texture is solved.
Description
Technical field
The present invention relates to waste or used plastics sorting field, be specifically related to a kind of waste plastic bottle sorting equipment and method based on cloud computing and image recognition technology.
Background technology
Growing along with China's industrial and agricultural production level and consumption demand, plastic industry has obtained developing rapidly.According to analysis of statistical data, within 2005, Plastics in China real consumption amount is 2658.9 ten thousand tons, and waste plastic generation is about 960.8 ten thousand tons, emission index approximately 36%.If waste plastic is not effectively processed, when offering convenience to human lives, plastic products also can bring great negative effect, " white pollution " of its formation, directly contaminated soil and underground water.Simultaneously, waste or used plastics can recycling, containing huge regenerated resources, therefore, the recovery and reuse of waste or used plastics are the effective ways that solve waste or used plastics problem, it not only can reduce the consumption to petrochemical materials, and can reduce environmental pollution, realizes efficient use and reuse of resources.
Developed country pays much attention to the recovery of plastic bottle always, adds the good scientific and technological level itself having, and on automation and intelligentized road, has walked at present far.Norway TITECH company has developed a kind of plastic bottle recognition system based on near-infrared resolution techniques, and this plastic bottle recognition system is utilized infrared principles, is suitable for analyzing transparent or light color plastic products.Because the near infrared spectrum of common plastic products is generally different, so utilize this technology for detection also can reach the effect of quickly, efficiently and accurately.But this technology also exists obvious deficiency, for the plastic products of black or brown, can not well identify, so this detection has obvious monochromaticjty.On the other hand, the sorting of waste plastic bottle is required to color separation, minute material, current separate unit sorting arrangement can only be realized independent color separation function or minute material function, realize color separation and minute material function, and needing to buy two above equipment connections becomes a production line.
More domestic enterprises have also seen that plastic bottle reclaims wide market prospects gradually, and aspect plastics color-selection apparatus, are obtaining certain achievement, but are not yet being fruitful aspect the sorting of plastic bottle material.The sorting of domestic waste plastic bottle is mainly to complete by manual type, manual sorting mainly exists that human cost is high, sorting speed is slow and the problem such as the degree of accuracy is low, each plastic bottle sorting factory need configure several workmans and carry out pipelining, need to drop into a large amount of human costs, increased operation cost.Along with human resources rising steadily of in short supply and labourer's wage gradually, the recovery problem of waste or used plastics just becomes an increasing difficult problem.
Existing import waste plastic bottle sorting arrangement is expensive, and maintenance difficulties is large, can not well meet the demand of numerous small plastics recovery point, and does not domesticly also have substitute products to appear on the market.Accurately, fast, the development of waste plastic bottle sorting equipment is cheaply still the tight demand in market.
Summary of the invention
The invention provides waste plastic bottle sorting equipment and method based on cloud computing and image recognition, can identify material and the color of plastic bottle simultaneously, thereby waste plastic bottle is carried out to the sorting of color separation and minute material, solved the technical problem that single equipment in prior art can only be carried out color separation or minute material sorting.
The technical scheme that sorting equipment of the present invention adopts is as follows: the waste plastic bottle sorting equipment based on cloud computing and image recognition, comprises connecting gear, recognition unit and mechanism for sorting; The entrance of described connecting gear is connected with feeding mouth, and outlet is connected with mechanism for sorting, and recognition unit is arranged on connecting gear; Described connecting gear is sent into recognition unit one by one for after the waste plastic bottle of accumulation is shakeout, broken up; Described recognition unit comprises identification case, is arranged on the image acquisition device on identification case and the server being connected with described image acquisition device; Described server is provided with bar code data storehouse and waste plastic bottle sorting module, waste plastic bottle sorting module is carried out bar code fixation and recognition to the image of image acquisition device collection, according to recognition result, inquire about described bar code data storehouse, determine plastic bottle color and material; Described mechanism for sorting, according to the determined plastic bottle color of server and material, sorts plastic bottle.
In a preferred embodiment, described server comprises user side server, and described user side server comprises user side bar code data storehouse and waste plastic bottle sorting user side module.Described user side server also comprises user side image feature base; Described waste plastic bottle sorting user side module comprises bar code location recognition module, color characteristic extraction module, Shape Feature Extraction module, texture feature extraction module, many Fusion Features module and picture recognition module, and picture recognition module is connected with bar code location recognition module, many Fusion Features module, user side bar code data storehouse and user side image feature base respectively.
In a preferred embodiment, described server comprises cloud server, and described cloud server comprises cloud processor, bar code data storehouse, high in the clouds, high in the clouds image feature base and waste plastic bottle sorting high in the clouds module; Described cloud processor is connected with bar code data storehouse, high in the clouds, high in the clouds image feature base, waste plastic bottle sorting high in the clouds module, user side bar code data storehouse, user side image feature base and picture recognition module respectively.
In a preferred embodiment, described connecting gear comprises that upper strata horizontal conveying belt, lower floor's horizontal conveying belt and slip shakeout member; Slip is shakeout member and is arranged on the horizontal conveying belt of upper strata; Lower floor's horizontal conveying belt is positioned at horizontal conveying belt below, upper strata, and lower floor's horizontal conveying belt is connected to recognition unit.Preferred, the transfer rate of described lower floor horizontal conveying belt is greater than the transfer rate of upper strata horizontal conveying belt.
Preferably, described connecting gear involving vibrations conveyer belt; Vibratory conveyors is connected between feeding mouth and recognition unit, or vibratory conveyors is connected between lower floor's horizontal conveying belt and recognition unit.
Preferably, the separating pipe that described mechanism for sorting comprises multilayer sorting tray, is arranged on the rotation sorting blade on sorting tray and is connected with described rotation sorting blade; Described recognition unit has a plurality of; The outlet of described connecting gear is provided with many branch lines, and each branch line is provided with recognition unit.
The technical scheme that method for sorting of the present invention adopts is as follows: the waste plastic bottle method for sorting based on cloud computing and image recognition, comprises the following steps:
S1, pan feeding, plastic bottle enters identification case after connecting gear shakeouts, breaks up;
S2, the image acquisition device being arranged in identification case gather plastic bottle image and are uploaded to user side server;
S3, user side server carry out pretreatment to image;
S4, user side server carry out bar code fixation and recognition to pretreated image, if successfully recognize bar code, inquiring user end bar code data storehouse, determines plastic bottle color and material, according to recognition result, determine the separating pipe that needs unlatching on mechanism for sorting, complete sorting.
If can not successfully identify bar code in step S4, carry out following steps:
S5, user side server carry out color, shape and texture feature extraction to pretreated image, then carry out color, shape and Texture Feature Fusion, obtain color, shape and textural characteristics weighted sum characteristic value afterwards, finally according to characteristic value inquiring user end image feature base, according to the information inquiring, determine color and the material of plastic bottle, according to recognition result, determine the separating pipe that needs unlatching on mechanism for sorting, complete sorting;
If inquiry, less than relevant information, is judged to be the plastic bottle image of None-identified, and the image of None-identified and feature are uploaded to cloud server in user side image feature base, carry out step S6 simultaneously;
S6, cloud server receive after the plastic bottle image of None-identified, and by operation personnel's typing image information, cloud server is set up the corresponding relation of image information and characteristics of image beyond the clouds in image feature base, for user side server down loading updating.
Compared with prior art, advantage of the present invention and beneficial effect are as follows:
1, color separation has been synchronizeed with a minute material, without many different sorting arrangements: first gather plastic bottle image, after gathering image pretreatment, distinguish bar code wherein, and the identification of color and material is carried out in default bar code data storehouse in querying server, and then the color separation and minute material that realize plastic bottle synchronously sort.
2, recognition performance is reliable, be not subject to the restriction of bar code data storehouse stored information and affect: if cannot identify by bar code data storehouse, the present invention can also carry out color, shape and texture feature extraction to pretreated image, and color, shape and textural characteristics are merged, then by inquiring user end image feature base, carry out the recognition and verification of color and material.In addition, if by image feature base still None-identified, the present invention can also pass through cloud server, manual typing image information, and the corresponding relation of formation characteristics of image and image information, upgrades the image feature base of high in the clouds and user side with this.
3, there is good connecting gear, pan feeding is carried out spreading transmission out at least three times, plastic bottle can be broken up to greatest extent, avoid stacking and affect IMAQ, minimizing is blocked, improved the accuracy of discrimination and identification: at feeding mouth place, adopt and to there is upper strata horizontal conveying belt and lower floor's horizontal conveying belt of speed difference, and on the horizontal conveying belt of upper strata, arrange to slide and shakeout member, by slip, shakeout member to spreading out for the first time in the pan feeding of upper strata horizontal conveying belt; Pan feeding after spreading out is for the first time slipped on lower floor's horizontal conveying belt, and because the speed of lower floor's horizontal conveying belt is greater than the speed of upper strata horizontal conveying belt, thereby pan feeding will be spread out for the second time; One section that in connecting gear, is connected with identification case is vibratory conveyors, by vibratory conveyors, to entering identification case plastic bottle before, vibrates transmission, completes spreading out for the third time pan feeding.
4, can carry out to plastic bottle the segmentation of multiple types: in user side server and cloud server, can conveniently by algorithm, realize the classification of plastic bottle material and color; In addition, in sorting equipment frame, round tray is provided with nearly 8 rotation sorting blades, and 8 separating pipes can be coloured to PET, PET is colourless, the material of PP, PS, PE, PVC and other None-identifieds is classified.
5, take up an area littlely, operating efficiency is high: sorting equipment erecting is set to the form of multilayer, take up an area little, separating pipe is many, sorting efficiency is high.
Accompanying drawing explanation
Fig. 1 is the mechanical construction drawing of sorting equipment frame of the present invention;
Fig. 2 is hardware frame figure of the present invention;
Fig. 3 is software frame figure of the present invention;
Fig. 4 is workflow diagram of the present invention.
The specific embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited to this.
Embodiment
The present invention is based on the waste plastic bottle sorting equipment of cloud computing and image recognition technology, comprise sorting equipment frame, a plurality of high-speed image sampling device, motor and motor drive controller, discharging opening controller, user side server and cloud server; Wherein, a plurality of high-speed image sampling devices are arranged in sorting equipment frame, and user side server is connected with high-speed image sampling device, motor and motor drive controller, discharging opening controller respectively by serial ports or network interface; Cloud server is connected with user side server by internet.
As shown in Figure 1, described sorting equipment frame is provided with connecting gear, recognition unit and the mechanism for sorting connecting successively; Connecting gear comprises that hang plate 2, horizontal conveying belt, slip shakeout member 3 and inclination conveyer belt 7, and recognition unit is an identification case 9, and connecting gear entrance is connected with feeding mouth 1, and outlet is connected with mechanism for sorting; The interior high-speed image sampling device that arranges of identification case 9, mechanism for sorting comprises round tray 10, separating pipe 11 and rotation sorting blade 13.Horizontal conveying belt comprises upper strata horizontal conveying belt 4 and lower floor's horizontal conveying belt 5, and slip is shakeout member 3 and is arranged on upper strata horizontal conveying belt 4, and feeding mouth 1 is connected with upper strata horizontal conveying belt 4 by a hang plate 2; Lower floor's horizontal conveying belt 5 is positioned at upper strata horizontal conveying belt 4 belows, and transfer rate is greater than upper strata horizontal conveying belt, and transfer rate is 3 times of upper strata horizontal conveying belt.Waste plastic bottle is thrown in pan feeding from feeding mouth 1, and after described hang plate 2, waste plastic bottle is slipped on upper strata horizontal conveying belt 4.When plastic bottle is transmitted by upper strata horizontal conveying belt 4, slip is shakeout member 3 plastic bottle of accumulation is shakeout, and makes it not overlapping stacking as far as possible; Some bulky plastic bottles, cannot shakeout member through this slip, can be swept and drop down onto both sides.The plastic bottle being shakeout is slipped to lower floor's horizontal conveying belt 5, and because the transfer rate of lower floor's horizontal conveying belt 5 is 3 times of upper strata horizontal conveying belt 4, the plastic bottle of landing is spread out because of speed difference again, sporadicly intersperses among on lower floor's horizontal conveying belt 5.The end contracture of lower floor's horizontal conveying belt 5 is 3 outlets 6, is delivered to respectively on the inclination conveyer belt 7 of 3 different gradient.Plastic bottle is along with after inclination conveyer belt 7 is sent in the plane of differing heights, turn 90 ° of directions to vibratory conveyors 8, vibratory conveyors 8 by plastic bottle horizontal transmission to identifying case 9, overlapping if plastic bottle has, after vibration, as far as possible separately, enter one by one identification case and identify.Plastic bottle is after identification case, and system is by plastic bottle discriminator, and information recording enters system.Plastic bottle is fallen into round tray 10 with vibratory conveyors, and between two rotations sortings blades 13, the position falling by infrared judgement plastic bottle, and read the identifying information of this plastic bottle.Plastic bottle rotates with rotation sorting blade 13, when front end rotation sorting blade 13 is during through the target separated region of this plastic bottle, opens the access door of this target separated region, and plastic bottle is fallen into separating pipe 11, from discharging opening 12, sorts out.
As shown in Figure 2, main hardware structure of the present invention, a plurality of high-speed image sampling devices, motor drive controller and discharging opening controller are connected with user side server respectively.Each high-speed image sampling device includes arm processor, camera module, network interface card module and serial communication modular, and camera module, network interface card module and serial communication modular are connected with arm processor respectively.Motor drive controller comprises arm processor, network interface card module, serial communication modular and motor drive module, and arm processor is connected with network interface card module, serial communication modular and motor drive module respectively, and motor drive module is connected with motor.Discharging opening controller comprises arm processor, infrared detection module, discharging opening control module, network interface card module and serial communication modular, and arm processor is connected with infrared detection module, discharging opening control module, network interface card module and serial communication modular respectively.
As shown in Figure 3, software systems of the present invention are arranged on user side server and cloud server.Described user side server comprises industrial computer, user side bar code data storehouse, user side image feature base and waste plastic bottle sorting user side module, and user side bar code data storehouse, user side image feature base and waste plastic bottle sorting user side module are moved on industrial computer; Wherein, user side bar code data storehouse and user side image feature base form user side database, and waste plastic bottle sorting user side module comprises bar code location recognition module, color characteristic extraction module, Shape Feature Extraction module, texture feature extraction module, many Fusion Features module, artificial nerve network classifier and picture recognition module.Picture recognition module is connected with bar code location recognition module, many Fusion Features module, user side bar code data storehouse and user side image feature base respectively.
Described cloud server comprises cloud processor, bar code data storehouse, high in the clouds, high in the clouds image feature base and waste plastic bottle sorting high in the clouds module; Wherein, bar code data storehouse, high in the clouds and high in the clouds image feature base form high in the clouds database, and waste plastic bottle sorting high in the clouds module comprises bar code location recognition module, color characteristic extraction module, Shape Feature Extraction module, texture feature extraction module, many Fusion Features module and artificial nerve network classifier.
As shown in Figure 4, the workflow of the waste plastic bottle sorting equipment based on cloud computing and image recognition technology is as follows:
(1) described device initializes and arranges, and starts charging.Plastic bottle enters identification case by horizontal conveying belt, slip after shakeouing member, inclination conveyer belt and vibratory conveyors one by one.
(2) the high-speed image sampling device being arranged in identification case gathers plastic bottle image and is uploaded to user side server.
(3) user side server carries out pretreatment to image.
(4) user side server carries out bar code fixation and recognition to pretreated image, and as successfully recognized bar code, inquiring user end bar code data storehouse, determines plastic bottle color and material, carries out step (6); Otherwise carry out step (5).
(5) user side server carries out color, shape and texture feature extraction to pretreated image, then carry out many Fusion Features and obtain three kinds of characteristic values after characteristic weighing summation, finally according to characteristic value inquiring user end image feature base, as plastic bottle can be identified, the color of plastic bottle and material can be determined, carry out step (6); Otherwise, the image of None-identified and feature are uploaded to cloud server, carry out step (7) simultaneously.
(6) according to recognition result, determine the separating pipe that needs unlatching, when plastic bottle enters round tray and approaches corresponding separating pipe, open discharging opening and make plastic bottle enter corresponding separating pipe.
(7) cloud server receives that, after the plastic bottle image of None-identified, by operation personnel's typing image information, cloud server is set up the corresponding relation of characteristics of image and image information in database.
(8) user side server is downloaded up-to-date image feature base from cloud server, to upgrade user side image feature base.
Above content is only to structure example of the present invention and explanation; affiliated those skilled in the art make various modifications to described specific embodiment or supplement or adopt similar mode to substitute; only otherwise depart from the structure of invention or surmount this scope as defined in the claims, all should belong to protection scope of the present invention.
Claims (10)
1. the waste plastic bottle sorting equipment based on cloud computing and image recognition, comprises connecting gear, recognition unit and mechanism for sorting; The entrance of described connecting gear is connected with feeding mouth, and outlet is connected with mechanism for sorting, and recognition unit is arranged on connecting gear; It is characterized in that: described connecting gear is sent into recognition unit for after the waste plastic bottle of accumulation is shakeout, broken up; Described recognition unit comprises identification case, is arranged on the image acquisition device on identification case and the server being connected with described image acquisition device;
Described server is provided with bar code data storehouse and waste plastic bottle sorting module, waste plastic bottle sorting module is carried out bar code fixation and recognition to the image of image acquisition device collection, according to recognition result, inquire about described bar code data storehouse, determine plastic bottle color and material;
Described mechanism for sorting, according to the determined plastic bottle color of server and material, sorts plastic bottle.
2. waste plastic bottle sorting equipment according to claim 1, is characterized in that, described server comprises user side server, and described user side server comprises user side bar code data storehouse and waste plastic bottle sorting user side module.
3. waste plastic bottle sorting equipment according to claim 2, is characterized in that, described user side server also comprises user side image feature base; Described waste plastic bottle sorting user side module comprises bar code location recognition module, color characteristic extraction module, Shape Feature Extraction module, texture feature extraction module, many Fusion Features module and picture recognition module, and picture recognition module is connected with bar code location recognition module, many Fusion Features module, user side bar code data storehouse and user side image feature base respectively.
4. waste plastic bottle sorting equipment according to claim 3, it is characterized in that, described server comprises cloud server, and described cloud server comprises cloud processor, bar code data storehouse, high in the clouds, high in the clouds image feature base and waste plastic bottle sorting high in the clouds module; Described cloud processor is connected with bar code data storehouse, high in the clouds, high in the clouds image feature base, waste plastic bottle sorting high in the clouds module, user side bar code data storehouse, user side image feature base and picture recognition module respectively.
5. waste plastic bottle sorting equipment according to claim 1, is characterized in that, described connecting gear comprises that upper strata horizontal conveying belt, lower floor's horizontal conveying belt and slip shakeout member; Slip is shakeout member and is arranged on the horizontal conveying belt of upper strata; Lower floor's horizontal conveying belt is positioned at horizontal conveying belt below, upper strata, and lower floor's horizontal conveying belt is connected to recognition unit.
6. waste plastic bottle sorting equipment according to claim 5, is characterized in that, the transfer rate of described lower floor horizontal conveying belt is greater than the transfer rate of upper strata horizontal conveying belt.
7. according to the waste plastic bottle sorting equipment described in any one in claim 1,5 and 6, it is characterized in that described connecting gear involving vibrations conveyer belt; Vibratory conveyors is connected between feeding mouth and recognition unit, or vibratory conveyors is connected between lower floor's horizontal conveying belt and recognition unit.
8. waste plastic bottle sorting equipment according to claim 1, is characterized in that, the separating pipe that described mechanism for sorting comprises multilayer sorting tray, is arranged on the rotation sorting blade on sorting tray and is connected with described rotation sorting blade; Described recognition unit has a plurality of; The outlet of described connecting gear is provided with many branch lines, and each branch line is provided with recognition unit.
9. the waste plastic bottle method for sorting based on cloud computing and image recognition, is characterized in that, comprises the following steps:
S1, pan feeding, plastic bottle enters identification case after connecting gear shakeouts, breaks up;
S2, the image acquisition device being arranged in identification case gather plastic bottle image and are uploaded to user side server;
S3, user side server carry out pretreatment to image;
S4, user side server carry out bar code fixation and recognition to pretreated image, if successfully recognize bar code, inquiring user end bar code data storehouse, determines plastic bottle color and material, according to recognition result, determine the separating pipe that needs unlatching on mechanism for sorting, complete sorting.
10. waste plastic bottle method for sorting according to claim 9, is characterized in that, if can not successfully identify bar code, carries out following steps:
S5, user side server carry out color, shape and texture feature extraction to pretreated image, then carry out color, shape and Texture Feature Fusion, obtain color, shape and textural characteristics weighted sum characteristic value afterwards, finally according to characteristic value inquiring user end image feature base, according to the information inquiring, determine color and the material of plastic bottle, according to recognition result, determine the separating pipe that needs unlatching on mechanism for sorting, complete sorting;
If inquiry, less than relevant information, is judged to be the plastic bottle image of None-identified, and the image of None-identified and feature are uploaded to cloud server in user side image feature base, carry out step S6 simultaneously;
S6, cloud server receive after the plastic bottle image of None-identified, and by operation personnel's typing image information, cloud server forms the corresponding relation of characteristics of image and image information, and upgrades high in the clouds image feature base confession user side server down loading updating.
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