CN208555097U - A kind of workpiece shapes based on computer vision detection and sorting device - Google Patents
A kind of workpiece shapes based on computer vision detection and sorting device Download PDFInfo
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- CN208555097U CN208555097U CN201820593368.7U CN201820593368U CN208555097U CN 208555097 U CN208555097 U CN 208555097U CN 201820593368 U CN201820593368 U CN 201820593368U CN 208555097 U CN208555097 U CN 208555097U
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Abstract
The utility model belongs to computer vision and industrial automation, a kind of workpiece shapes based on computer vision detection and sorting device are disclosed, including workpiece image acquisition unit, workpiece shapes detection unit, workpiece go-no-go unit and workpiece transmit tape cell;The workpiece image acquisition unit includes high definition industrial camera, infrared touch switch, supplementary lighting module, image sending module;The workpiece shapes detection unit includes image receiver module, workpiece shapes detection and calculating sorting-machine software, PC machine and specific shape signal transmitting module;The workpiece go-no-go unit includes specific shape signal receiving module, signal processing module, go-no-go motor;The workpiece transmission tape cell includes workpiece transmission belt and specific shape workpiece transmission belt.The utility model is designed reasonably, high degree of automation improve work efficiency, and reduce production cost, practical, and application value is high.
Description
Technical field
The utility model belongs to computer vision and industrial automation more particularly to a kind of work based on workpiece shapes
Part sorting device.
Background technique
Currently, the prior art commonly used in the trade is such thatWith the progress of mathematical tool, image shape detection technique institute
The basic skills being related to also is evolving.So far, the application range of image shape detection technique has surmounted computer
The range of vision is more embodied in as artificial intelligence, digital technology processing service.Image shape identifies in object go-no-go field
Apply and significantly improve go-no-go efficiency, and reduce falsely drop to greatest extent
Rate.However, there is the shape of necessarily required object and go-no-go to study shape contour, mesh due on processing technique
It is preceding at home and abroad there is not yet relevant report.The main source that people obtain external information is exactly to pass through image, for example navigating
Empty space industry is just by taking pictures to other celestial body surfaces to obtain its bulk information, and most of real information image of object is all
It is able to reflect, this is the imaging that vision system carries out the object of objective reality.Thus, it is able to reflect object nature
One of optimal path is exactly the various information analyzed in image.Digital picture is the theoretical basis of image detection.With computer
Continuous promotion to image quality requirements of appearance and people, also with its fast development, people start to close for Digital Image Processing
Image detecting technique is infused, especially in recent years, the arithmetic speed of computer constantly improves continuous development, wants to image procossing
It asks and is also promoted therewith, advance the rapid development of digital image processing techniques, an important directions of fields of measurement, image detection
Also develop therewith.Image detecting technique set photoelectric technology, Digital Image Processing, information processing and computer vision etc. are learned
Section, demand of the development of modern industry to image detecting technique are constantly promoted, and image processing techniques is applied in many fields, and
There are many all formd mature technology.Picture geometry detection is fast to the raisings of image processing requirements with every profession and trade
Speed development, several SHAPE DETECTION algorithms known to us have Hough transform, principal component analysis, wavelet transformation, morphological analysis,
Neural network etc., innovatory algorithm also have very much.In conclusion the development of detection algorithm slowly starts diversification, and very much
It is also related in actually detected system.It is that the theoretical research in terms of external image detection is more concentrated before the eighties
Epoch, and domestic this respect development is slower, theoretical research is relatively fewer.After the nineties, with computer be included in huge numbers of families by
It gradually popularizes, processing capacity increasingly enhances, and the increase of demand and application drives the development of various shape detection method, while all kinds of calculations
Also a hundred flowers blossom for the development of method, and such development enriches original algorithm.Detection algorithm also develops towards the direction of diversification.
There are many detection modes in shape detection system, mainly has contact type measurement and non-contact measurement, wherein contact type measurement
Refer to and directly part is measured using measuring tool, although the operation of this measurement method is relatively simple flexibly, is surveying
A degree of measurement error can be will cause because of artificial fault during amount, this will lead to result inaccuracy.It is typical non-
The object of contact type measurement, this method and measurement does not contact, and is a kind of safe and reliable non-destructive testing;Some mankind and
The physical quantity that contact type measurement can not accurately judge, there are also block, hide and other unknown adverse circumstances when detection environment has
Under the influence of, the measurement of some industrial parts can only use contactless measurement;Using shape detection system, this mode is examined
Time and the process of processing can be greatly shortened by surveying higher automatic operation, be conducive to improve detection efficiency.SHAPE DETECTION skill
Art possesses wide development space and application prospect, it is widely used in field of industrial production with unique advantage, is mainly answered
Used in workpiece parameter measurement, the monitoring of product quality, the detection and part industrial design of complicated irregular workpiece.The utility model
It realizes and identifies the shape of object in irregular shape using computer vision high-volume and carry out go-no-go.Computer Vision Detection with
Go-no-go is the field just risen in recent years, it will be at the rapidity of computer, reliability and repeatability and digital picture
Reason technology, which combines, carries out vision-based detection and go-no-go, this detection and go-no-go method have automation, objectivity by force, be not required to connect
The features such as touching, high and quick precision, detection and go-no-go efficiency are greatly improved, this method and apparatus has application well
Prospect.
In conclusion problem of the existing technology is:Contact type measurement can be because of artificial fault in measurement process
It will cause a degree of measurement error, cause result inaccurate.And current non-contact measurement, due to the original on processing technique
Cause there is the shape of necessarily required object and go-no-go to study shape contour, at present at home and abroad there is not yet relevant report
Road.
Solve the difficulty and meaning of above-mentioned technical problem:The utility model is a kind of workpiece shapes based on computer vision
Detection and sorting device identify the workpiece of specific shape by SHAPE DETECTION and calculating sorting-machine software, then by specific
Specific shape signal is sent to workpiece go-no-go unit by shape signal sending module.The high degree of automation of the utility model, makes
It is convenient with operating, the subjective error of people can be excluded, the precision of identification workpiece shapes and go-no-go is improved.
Summary of the invention
In view of the problems of the existing technology, the utility model provides a kind of workpiece go-no-go dress based on workpiece shapes
It sets.
The utility model is realized in this way a kind of workpiece shapes detection based on computer vision and sorting device, institute
It includes workpiece image acquisition unit, workpiece shapes detection list that workpiece shapes detection based on computer vision, which is stated, with sorting device
Member, workpiece go-no-go unit and workpiece transmit tape cell;
The workpiece image acquisition unit includes high definition industrial camera, infrared touch switch, supplementary lighting module, image transmission mould
Block;
The workpiece shapes detection unit includes image receiver module, workpiece shapes detection and calculating sorting-machine software, PC
Machine and specific shape signal transmitting module;
The workpiece go-no-go unit includes specific shape signal receiving module, signal processing module, go-no-go motor;
The workpiece transmission tape cell includes workpiece transmission belt and specific shape workpiece transmission belt.
Further, the equal electric signal of infrared touch switch, supplementary lighting module connects high definition industry camera, and the high definition industry is taken the photograph
As head electric signal connects image sending module.
Further, image receiver module one end electric signal connects image sending module, and the other end connects PC machine, the workpiece
SHAPE DETECTION and calculating sorting-machine software installation are in PC machine, and electric signal connects specific shape signal transmitting module.
Further, specific shape signal receiving module one end electric signal connects specific shape signal transmitting module, the other end
Electric signal connection signal processing module, the signal processing module signal connection sorting motor.
Further, workpiece transmission belt and specific shape workpiece transmission belt cooperate with sorting motor.
In conclusion advantages of the present invention and good effect are as follows: the utility model uses integrated, modular set
Meter, structure is simple, and rationally, it is convenient and at low cost to realize for design.The high degree of automation of the utility model, it is convenient using operating,
The subjective error that can exclude people improves the precision of identification workpiece shapes and go-no-go.The utility model is without carrying out complexity
Line, and transmission side data just, stablize, be reliable, data acquisition and transmission speed is fast, the used time is short, help to improve detection and point
Pick up efficiency.Judged using the utility model computer software, is fully automated, it, can be with since the manpower and material resources of consuming are few
24 continuous throughout the twenty-four hour24 of whole day in industrial settings, improves work efficiency, and reduces production cost.The reality of the utility model
Strong with property, using effect is good, and application value is high.
In conclusion the utility model structure is simple, design rationally, realizes that convenient and production cost is low, just using operation
Victory helps to improve workpiece go-no-go efficiency and shape recognition precision, improves work efficiency, and reduces production cost, practicability
By force, using effect is good, and application value is high.
Detailed description of the invention
Fig. 1 is the workpiece sorting device structural schematic diagram provided by the embodiment of the utility model based on workpiece shapes;
In figure: 1, workpiece surface image acquisition units;1-1, infrared touch switch;1-2, supplementary lighting module;
1-3, high definition industrial camera;1-4, image sending module;2, workpiece shapes detection unit;2-1, image receive mould
Block;2-2, PC machine;2-3, workpiece shapes detect computer software;2-4, specific shape signal transmitting module;3, workpiece go-no-go list
Member;3-1, specific shape signal receiving module;3-2, signal processing module;3-3, go-no-go motor;4, workpiece transmits tape cell;4-
1, workpiece transmission belt;4-2, specific shape workpiece transmission belt.
Specific embodiment
For the invention, features and effects that can further appreciate that the utility model, the following examples are hereby given, and cooperates
Detailed description are as follows for attached drawing.
As shown in Figure 1, the utility model includes workpiece image acquisition unit 1, the workpiece shapes for acquiring workpiece image
Detection unit 2, workpiece go-no-go unit 3 and the workpiece for transporting general workpiece and specific shape workpiece transmit tape cell 4;It is described
Workpiece image acquisition unit 1 includes infrared touch switch 1-1, the supplementary lighting module 1- shot for triggering high definition industrial camera
2, for shooting high definition industrial camera 1-3, the image sending module 1-4 of workpiece photo;The workpiece shapes detection unit 2 includes
Image receiver module 2-1, PC machine 2-2, for detecting workpiece photo to identify workpiece shapes and calculating sorting-machine software
2-3 and specific shape signal transmitting module 2-4;The workpiece go-no-go unit 3 include specific shape signal receiving module 3-1,
Signal processing module 3-2, the go-no-go motor 3-3 for specific shape workpiece being separated to an other transmission belt;It is described to be used for
The workpiece transmission tape cell 4 for transporting general workpiece and specific shape workpiece includes that workpiece transmission belt 4-1 and specific shape workpiece pass
Defeated band 4-2.
The infrared touch switch 1-1 controls the switch of high definition industrial camera 1-3 using infrared induction, when workpiece transmits
When by infrared touch switch 1-1, high definition industrial camera 1-3 is clapped automatically takes workpiece photo.Described image sending module 1-4, figure
As receiving module 2-1, specific shape signal transmitting module 2-4 and specific shape signal receiving module 3-1 are all made of sharp hawk 5.8g
Long-range figure passes transceiver module TX2000.Gaussian filtering, adaptive threshold binaryzation pair are chosen in the workpiece shapes detection unit 2
Image is pre-processed, and Canny operator is selected to carry out Image Edge-Detection, is believed using contours extract and polygonal segments edge
Breath carries out vectoring operations, carries out non-regular shape detection of complex shape to simple shape and is examined using template matching method
It surveys, using the shape of image shape detection and calculating sorting-machine software 2-3 detection workpiece, is finally sent to SHAPE DETECTION result
Workpiece go-no-go unit 3;If the workpiece go-no-go unit 3 detects the workpiece of specific shape, instruction is sent by computer and is driven
Dynamic sorting device, specific shape workpiece is pushed on other specific shape workpiece transmission belt 4-2, corresponding place is transmitted to
Manage workshop.
The working principle and the course of work of the utility model are: workpiece passes through workpiece transmission belt in image acquisition units 1
When 4-1 passes through infrared touch switch 1-1, workpiece photo is shot using high definition industrial camera 1-3, and photo is sent by image
Module 1-4 receives the image receiver module 2-1 of workpiece image conveying work pieces shape detecting unit 2 by wireless communication, image
Module 2-1 passes through SHAPE DETECTION and calculating sorting-machine software 2- on the PC machine 2-2 of image transmitting to workpiece shapes detection unit
3 identify the workpiece of specific shape, and specific shape signal is then sent to workpiece by specific shape signal transmitting module 2-4
Go-no-go unit 3;Specific shape signal receiving module 3-1 in workpiece go-no-go unit 3 receives specific shape signal, by signal
Processing module 3-2 control is by the go-no-go motor 3-3 in transmission belt specific shape workpiece from workpiece transmission belt 4-1 go-no-go to another
On outer specific shape workpiece transmission belt 4-2, it is transported to processing workshop and is handled, general workpiece continues to be transmitted to corresponding vehicle
Between.
The above is only the preferred embodiment to the utility model, is not made in any form to the utility model
Limitation, it is all according to the technical essence of the utility model any simple modification made to the above embodiment, equivalent variations with
Modification, is all within the scope of the technical scheme of the utility model.
Claims (5)
1. a kind of workpiece shapes detection based on computer vision and sorting device, which is characterized in that described to be regarded based on computer
The workpiece shapes detection of feel and sorting device include workpiece image acquisition unit, workpiece shapes detection unit, workpiece go-no-go unit
And workpiece transmits tape cell;
The workpiece image acquisition unit includes high definition industrial camera, infrared touch switch, supplementary lighting module, image sending module;
The workpiece shapes detection unit include image receiver module, workpiece shapes detection with calculating sorting-machine software, PC machine with
And specific shape signal transmitting module;
The workpiece go-no-go unit includes specific shape signal receiving module, signal processing module, go-no-go motor;
The workpiece transmission tape cell includes workpiece transmission belt and specific shape workpiece transmission belt.
2. workpiece shapes detection based on computer vision as described in claim 1 and sorting device, which is characterized in that infrared
The equal electric signal of touch switch, supplementary lighting module connects high definition industry camera, and the high definition industry camera electric signal connects image
Sending module.
3. workpiece shapes detection based on computer vision as described in claim 1 and sorting device, which is characterized in that image
Receiving module one end electric signal connects image sending module, and the other end connects PC machine, the workpiece shapes detection and classified calculating
Machine software installation is in PC machine, and electric signal connects specific shape signal transmitting module.
4. workpiece shapes detection based on computer vision as described in claim 1 and sorting device, which is characterized in that specific
Shape signal receiving module one end electric signal connects specific shape signal transmitting module, and other end electric signal connection signal handles mould
Block, the signal processing module signal connection sorting motor.
5. workpiece shapes detection based on computer vision as described in claim 1 and sorting device, which is characterized in that workpiece
Transmission belt and specific shape workpiece transmission belt cooperate with sorting motor.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110686600A (en) * | 2019-11-05 | 2020-01-14 | 北京深测科技有限公司 | Measuring method and system based on flight time measurement |
CN111871849A (en) * | 2020-09-09 | 2020-11-03 | 齐鲁理工学院 | Intelligent computer science workpiece detection table |
CN112084964A (en) * | 2020-09-11 | 2020-12-15 | 浙江水晶光电科技股份有限公司 | Product identification apparatus, method and storage medium |
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2018
- 2018-04-13 CN CN201820593368.7U patent/CN208555097U/en not_active Expired - Fee Related
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110686600A (en) * | 2019-11-05 | 2020-01-14 | 北京深测科技有限公司 | Measuring method and system based on flight time measurement |
CN110686600B (en) * | 2019-11-05 | 2021-08-06 | 北京深测科技有限公司 | Measuring method and system based on flight time measurement |
CN111871849A (en) * | 2020-09-09 | 2020-11-03 | 齐鲁理工学院 | Intelligent computer science workpiece detection table |
CN112084964A (en) * | 2020-09-11 | 2020-12-15 | 浙江水晶光电科技股份有限公司 | Product identification apparatus, method and storage medium |
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