CN103592312A - On-line detection method for cables on basis of machine vision - Google Patents
On-line detection method for cables on basis of machine vision Download PDFInfo
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- CN103592312A CN103592312A CN201310564470.6A CN201310564470A CN103592312A CN 103592312 A CN103592312 A CN 103592312A CN 201310564470 A CN201310564470 A CN 201310564470A CN 103592312 A CN103592312 A CN 103592312A
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- cable
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- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses an on-line detection method for cables on the basis of machine vision. The method comprises the steps as follow: image information and position information of the cables are collected; alarm information is obtained through template matching, mode recognition, defect scratch detection and positioning; the alarm information and the cable positions are combined, and the like. The on-line detection method for the cables has the advantages of high execution speed and accuracy, stable performance and the like.
Description
Technical field
The present invention relates to a kind of detection method, be specifically related to a kind of cable online test method based on machine vision.
Background technology
The making of cable comprises a plurality of continuous operations, the method of finished product detection cannot be found bad in processing procedure in time, and scope bad when finding defective products is very large, and online detection mostly is manual detection at present, workload is huge, and the criterion of sight check exists larger fluctuation.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the invention provides a kind of cable online test method based on machine vision.
Technical scheme: for solving the problems of the technologies described above, the cable online test method based on machine vision provided by the invention, comprises the following steps:
1) polygon mirror coordinates light source and linear video camera to gather the image information of four faces of cable simultaneously;
2) the length metering equipment records cable positional information of cable;
3) image information gathering is carried out to stencil matching, pattern-recognition, defect scratch detection location, obtain warning message;
4) warning message and cable position are combined, for next process, defective cable is processed.
As preferably, for the timely real-time adjusting process parameter of alert, when obtaining warning message in described step 3), send sound and light alarm.
Beneficial effect: the present invention utilizes machine vision and length metering equipment, there is execution speed fast, the advantage such as accuracy is high and stable, and can detect the defect that on cable, human eye cannot detect, online detection can be found in time bad and prevent it to expand, ensure the yield of finished product.
Embodiment
Embodiment: the cable online test method based on machine vision of the present embodiment, comprises the following steps:
1) polygon mirror coordinates light source and linear video camera to gather the image information of four faces of cable simultaneously.
2) the length metering equipment records cable positional information of cable.
3) image information gathering is carried out to stencil matching, pattern-recognition, defect scratch detection location, obtain warning message, send sound and light alarm, the real-time adjusting process parameter of alert simultaneously.
4) warning message and cable position are combined, for next process, defective cable is processed.
Wherein polygon mirror is existing prism apparatus, can the information of four faces of wire rod be pooled to a video camera by reflection, has simplified the layout of video camera and the treatment capacity of data.
Utilize detection method of the present invention can effectively control surface defects of products, reduce business economic loss.And the equipment automatically detecting alleviated reviewer's labour intensity, personnel and post have been simplified.The method of judging by Computer Image Processing also can correctly be assessed product surface quality, reduces user quality objection.
The above-mentioned foundation desirable embodiment of the present invention of take is enlightenment, and by above-mentioned description, relevant staff can, within not departing from the scope of this invention technological thought, carry out various change and modification completely.The technical scope of this invention is not limited to the content on instructions, must determine its technical scope according to claim scope.
Claims (2)
1. the cable online test method based on machine vision, is characterized in that comprising the following steps:
1) polygon mirror coordinates light source and linear video camera to gather the image information of four faces of cable simultaneously;
2) the length metering equipment records cable positional information of cable;
3) image information gathering is carried out to stencil matching, pattern-recognition, defect scratch detection location, obtain warning message;
4) warning message and cable position are combined, for next process, defective cable is processed.
2. the cable online test method based on machine vision according to claim 1, is characterized in that: when obtaining warning message in described step 3), send sound and light alarm, the real-time adjusting process parameter of alert.
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CN201310564470.6A CN103592312A (en) | 2013-11-14 | 2013-11-14 | On-line detection method for cables on basis of machine vision |
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CN201310564470.6A CN103592312A (en) | 2013-11-14 | 2013-11-14 | On-line detection method for cables on basis of machine vision |
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CN201310564470.6A Pending CN103592312A (en) | 2013-11-14 | 2013-11-14 | On-line detection method for cables on basis of machine vision |
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Cited By (6)
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---|---|---|---|---|
CN104316538A (en) * | 2014-11-07 | 2015-01-28 | 北京凯瑞德图像技术有限责任公司 | Flickering seam detection method and device for cable cladding process |
CN105044538A (en) * | 2015-06-25 | 2015-11-11 | 无锡埃姆维工业控制设备有限公司 | Wire harness industry online machine visual mistake-proofing system and method |
CN105890530A (en) * | 2016-06-24 | 2016-08-24 | 窦柏林 | Asynchronous detection system based on identification for surface damage to steel wire rope and measurement of diameter of steel wire rope |
CN105910543A (en) * | 2016-06-24 | 2016-08-31 | 窦柏林 | Wire rope surface damage identification and diameter measurement synchronous detection system |
CN106840075A (en) * | 2017-02-15 | 2017-06-13 | 苏州科宝光电科技有限公司 | Cable on-line detecting system |
CN107255996A (en) * | 2017-07-04 | 2017-10-17 | 上海应用技术大学 | A kind of automatic wire harness cladding control device and its autocontrol method |
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104316538A (en) * | 2014-11-07 | 2015-01-28 | 北京凯瑞德图像技术有限责任公司 | Flickering seam detection method and device for cable cladding process |
CN105044538A (en) * | 2015-06-25 | 2015-11-11 | 无锡埃姆维工业控制设备有限公司 | Wire harness industry online machine visual mistake-proofing system and method |
CN105890530A (en) * | 2016-06-24 | 2016-08-24 | 窦柏林 | Asynchronous detection system based on identification for surface damage to steel wire rope and measurement of diameter of steel wire rope |
CN105910543A (en) * | 2016-06-24 | 2016-08-31 | 窦柏林 | Wire rope surface damage identification and diameter measurement synchronous detection system |
CN105890530B (en) * | 2016-06-24 | 2018-10-30 | 窦柏林 | A kind of identification of steel wire rope surface damage and diameter measurement asynchronous detection system |
CN106840075A (en) * | 2017-02-15 | 2017-06-13 | 苏州科宝光电科技有限公司 | Cable on-line detecting system |
CN107255996A (en) * | 2017-07-04 | 2017-10-17 | 上海应用技术大学 | A kind of automatic wire harness cladding control device and its autocontrol method |
CN107255996B (en) * | 2017-07-04 | 2019-07-26 | 上海应用技术大学 | A kind of automatic harness cladding control device and its autocontrol method |
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Application publication date: 20140219 |