CN109612993A - A kind of part quality detection system and method - Google Patents
A kind of part quality detection system and method Download PDFInfo
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- CN109612993A CN109612993A CN201811439983.3A CN201811439983A CN109612993A CN 109612993 A CN109612993 A CN 109612993A CN 201811439983 A CN201811439983 A CN 201811439983A CN 109612993 A CN109612993 A CN 109612993A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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Abstract
The invention discloses a kind of part quality detection system and methods, detection system is characterized in: image capture module is made of camera, camera lens, camera lens is mounted on the rear portion of camera, image capture module and source symmetric are fixed on the top of transmission belt, photoelectric sensor is made of light emitting diode and optoelectronic switch, light emitting diode and optoelectronic switch are symmetricly set on the two sides of transmission belt, the signal output end of image capture module is connected with the signal input part of image processing module, light source is connected with energy supply control module, and photoelectric sensor is connected with switch controller.Detection method is: part to be measured is transmitted by transmission belt；Master control platform courses light source issues directional light；The image of image capture module acquisition part；Image procossing of the image processing module to acquisition；Parts information in master control platform and database carries out template matching；Master control platform determines part acceptance or rejection.The present invention has the advantages that accuracy is good, high-efficient.
Description
Technical field
The invention belongs to test technique automatic fields, and in particular to a kind of part quality detection system and method.
Background technique
The human perception external world mainly passes through the sense organs such as vision, tactile, the sense of hearing and smell, and vision is the mankind
Most important sensory function.According to statistics, the external information that people is perceived, which has above, to be obtained by vision.Briefly, machine
Vision can be understood as installing upper sighting device additional to machine, and machine is made to have the function of " vision ", replace human eye in certain fields
It measures and judges, can recognize and understand the thing observed, can determine that the position of target in range seen in it.Machine
Vision is not only the extension of human eye, it may have the partial function of human brain, it is therefore an objective to improve the automation and intelligence degree of machine.
Existing piece test technology, which mainly passes through, manually to be detected, and the efficiency of detection is lower, in piece test line
On, it will use a large amount of operator, improve the production cost of enterprise.
Summary of the invention
It is an object of the invention to overcome above-mentioned the deficiencies in the prior art, a kind of part quality detection system and side are provided
Method.
A kind of part quality detection system, including master control platform, energy supply control module, image processing module, Image Acquisition
Module, it is characterised in that: described image acquisition module is made of camera, camera lens, and the camera lens is mounted on the rear portion of camera, described
Image capture module and source symmetric are fixed on the top of transmission belt, and the photoelectric sensor is by light emitting diode and optoelectronic switch
Composition, the light emitting diode and optoelectronic switch are symmetricly set on the two sides of transmission belt, and the signal of described image acquisition module is defeated
Outlet is connected with the signal input part of image processing module, and the light source is connected with energy supply control module, the photoelectric transfer
Sensor is connected with switch controller, and described image processing module, energy supply control module, switch controller pass through bus and master control
Platform is connected.
Preferably, the camera is CCD camera.
A kind of part quality detection method, which comprises the steps of:
S1, part to be measured are transmitted by transmission belt, when part to be measured passes through photoelectric sensor, the light quilt of light emitting diode sending
It blocks, optoelectronic switch is in an off state；
S2, switch controller receive photoelectric sensor on-off model, and on-off model are transmitted to master control platform；
S3, master control platform issue control signal to energy supply control module, and the power supply that energy supply control module controls light source is connected, light source
Issue directional light；
The image of S4, image capture module acquisition part, and picture signal is transmitted to image processing module；
S5, image processing module be filtered the image of acquisition, sharpen, Mathematical Morphology, binaryzation, edge extracting, wheel
Exterior feature extracts the image information for obtaining part；
The image information of part is transmitted to master control platform by S6, image processing module, and the part in master control platform and database is believed
Breath carries out template matching；
S7, when the difference between the parts information in the image information and database of part be less than setting threshold value, master control platform
Determine that part is qualified, conversely, master control platform determines that part is unqualified, master control platform stores the image letter of testing result and part
Breath.
Compared with prior art, beneficial effects of the present invention:
The present invention transmits part image information to master control computer in real time by CCD camera and image processor, works as part
Image information and database in parts information between difference be less than the threshold value of setting, master control platform determines that part is qualified,
Conversely, master control platform determines that part is unqualified, master control platform stores the image information of testing result and part, has automation journey
The advantage that degree is high, accuracy rate is high.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of part quality detection system of the present invention.
In figure, 1, master control platform, 2, energy supply control module, 3, image processing module, 4, image capture module, 5, part,
6, photoelectric sensor, 7, light source, 8, transmission belt, 9, switch controller.
Specific embodiment
Referring to Fig. 1, a kind of part quality detection system, including master control platform 1, energy supply control module 2, image processing module
3, image capture module 4, it is characterised in that: described image acquisition module 4 is made of camera, camera lens, and the camera lens is mounted on phase
The rear portion of machine, described image acquisition module 4 and light source 7 are symmetrically fixed on the top of transmission belt 8, and the photoelectric sensor 6 is by sending out
Optical diode and optoelectronic switch composition, the light emitting diode and optoelectronic switch are symmetricly set on the two sides of transmission belt 8, the figure
As the signal output end of acquisition module 4 is connected with the signal input part of image processing module 3, the light source 7 is controlled with power supply
Module 2 is connected, and the photoelectric sensor 6 is connected with switch controller 9, described image processing module 3, energy supply control module
2, switch controller 9 is connected by bus with master control platform 1.
The camera is CCD camera.
A kind of part quality detection method, which comprises the steps of:
S1, part to be measured are transmitted by transmission belt 8, when part to be measured passes through photoelectric sensor 6, the light of light emitting diode sending
It is blocked, optoelectronic switch is in an off state；
S2, switch controller 9 receive 6 on-off model of photoelectric sensor, and on-off model are transmitted to master control platform 1；
S3, master control platform 1 issue control signal to energy supply control module 2, and the power supply that energy supply control module 2 controls light source 7 is connected,
Light source 7 issues directional light；
S4, image capture module 4 acquire the image of part 5, and picture signal is transmitted to image processing module 3；
S5,3 pairs of image processing module acquisition images be filtered, sharpen, Mathematical Morphology, binaryzation, edge extracting, wheel
Exterior feature extracts the image information for obtaining part；
The image information of part is transmitted to master control platform 1 by S6, image processing module 3, the part in master control platform 1 and database
Information carries out template matching；
S7, when the difference between the parts information in the image information and database of part be less than setting threshold value, master control platform 1
Determine that part is qualified, conversely, master control platform 1 determines that part is unqualified, master control platform 1 stores the image letter of testing result and part
Breath.
Technical solution of the present invention is exemplarily described invention above in conjunction with attached drawing, it is clear that present invention specific implementation
It is not subject to the restrictions described above, changes as long as using the various unsubstantialities that the inventive concept and technical scheme of the present invention carry out
Into, or it is not improved the conception and technical scheme of invention are directly applied into other occasions, in protection scope of the present invention
Within.
Claims (3)
1. a kind of part quality detection system, including master control platform (1), energy supply control module (2), image processing module (3), figure
As acquisition module (4), it is characterised in that: described image acquisition module (4) is made of camera, camera lens, and the camera lens is mounted on phase
The rear portion of machine, described image acquisition module (4) and light source (7) are symmetrically fixed on the top of transmission belt (8), the photoelectric sensor
(6) it is made of light emitting diode and optoelectronic switch, the light emitting diode and optoelectronic switch are symmetricly set on the two of transmission belt (8)
The signal output end of side, described image acquisition module (4) is connected with the signal input part of image processing module (3), the light
Source (7) is connected with energy supply control module (2), and the photoelectric sensor (6) is connected with switch controller (9), described image
Processing module (3), energy supply control module (2), switch controller (9) are connected by bus with master control platform (1).
2. a kind of part quality detection system as described in claim 1, it is characterised in that: the camera is CCD camera.
3. a kind of a kind of part quality detection method as described in claim 1, which comprises the steps of:
S1, part to be measured are transmitted by transmission belt (8), and when part to be measured passes through photoelectric sensor (6), light emitting diode is issued
Light be blocked, optoelectronic switch is in an off state；
S2, switch controller (9) receive photoelectric sensor (6) on-off model, and on-off model are transmitted to master control platform
(1)；
S3, master control platform (1) issue control signal to energy supply control module (2), and energy supply control module (2) controls light source (7)
Power supply is connected, and light source (7) issues directional light；
S4, image capture module (4) acquire the image of part (5), and picture signal is transmitted to image processing module (3)；
S5, image processing module (3) be filtered the image of acquisition, sharpen, Mathematical Morphology, binaryzation, edge extracting,
The image information of contours extract acquisition part；
The image information of part is transmitted to master control platform (1) by S6, image processing module (3), in master control platform (1) and database
Parts information carry out template matching；
S7, when the difference between the parts information in the image information and database of part be less than setting threshold value, master control platform
(1) determine that part is qualified, conversely, master control platform (1) determines that part is unqualified, master control platform (1) stores testing result and part
Image information.
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| CN201811439983.3A CN109612993A (en) | 2018-11-29 | 2018-11-29 | A kind of part quality detection system and method |
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| CN201811439983.3A CN109612993A (en) | 2018-11-29 | 2018-11-29 | A kind of part quality detection system and method |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112255479A (en) * | 2020-10-12 | 2021-01-22 | 安徽来福电子科技有限公司 | Shunt performance test system |
| CN112958491A (en) * | 2021-03-31 | 2021-06-15 | 安徽理工大学 | Part vision detection system based on DSP and FPGA |
| CN113418561A (en) * | 2021-06-30 | 2021-09-21 | 南通海舟电子科技有限公司 | Intelligent detection system and method for double-layer circuit board |
| CN113469560A (en) * | 2021-07-19 | 2021-10-01 | 北京东华博泰科技有限公司 | Cloud platform data management system based on industrial big data |
| CN115266043A (en) * | 2022-08-26 | 2022-11-01 | 苏州市华扬电子有限公司 | Low-voltage and low-brightness detection device and use method thereof |
| CN115741230A (en) * | 2022-09-30 | 2023-03-07 | 成都飞机工业（集团）有限责任公司 | Online broken cutter detection system and method |
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| CN102590218A (en) * | 2012-01-16 | 2012-07-18 | 安徽中科智能高技术有限责任公司 | Device and method for detecting micro defects on bright and clean surface of metal part based on machine vision |
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| CN102116610A (en) * | 2010-11-29 | 2011-07-06 | 科达斯特恩(常州)汽车塑件系统有限公司 | Automatic on-line detection method and device for size of automobile parts based on machine vision |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112255479A (en) * | 2020-10-12 | 2021-01-22 | 安徽来福电子科技有限公司 | Shunt performance test system |
| CN112958491A (en) * | 2021-03-31 | 2021-06-15 | 安徽理工大学 | Part vision detection system based on DSP and FPGA |
| CN113418561A (en) * | 2021-06-30 | 2021-09-21 | 南通海舟电子科技有限公司 | Intelligent detection system and method for double-layer circuit board |
| CN113469560A (en) * | 2021-07-19 | 2021-10-01 | 北京东华博泰科技有限公司 | Cloud platform data management system based on industrial big data |
| CN115266043A (en) * | 2022-08-26 | 2022-11-01 | 苏州市华扬电子有限公司 | Low-voltage and low-brightness detection device and use method thereof |
| CN115741230A (en) * | 2022-09-30 | 2023-03-07 | 成都飞机工业（集团）有限责任公司 | Online broken cutter detection system and method |
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Application publication date: 20190412 |