CN106468668A - Industrial camera cylinder detection method - Google Patents
Industrial camera cylinder detection method Download PDFInfo
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- CN106468668A CN106468668A CN201610854390.8A CN201610854390A CN106468668A CN 106468668 A CN106468668 A CN 106468668A CN 201610854390 A CN201610854390 A CN 201610854390A CN 106468668 A CN106468668 A CN 106468668A
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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
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/952—Inspecting the exterior surface of cylindrical bodies or wires
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- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The present invention relates to a kind of industrial camera cylinder detection method.Workpiece to be checked is sent to charging driving wheel by driving Timing Belt, by charging driving wheel, workpiece is sent in inspection station, rotated under the driving of driving wheel after examining station when workpiece reaches, now open backlight, setting camera works as face battle array sampling configuration, collection is in inspection workpiece outer surface system of battle formations picture, and calculates in the diameter examining workpiece and height.Subsequently, workpiece rotary speed is obtained by the encoder coaxial with driving wheel, calculate line frequency sweep rate, change camera and work as linear array pattern, line frequency sweep rate is set, opens line and clear off source, gather workpiece side surface image, identify Surface Flaw, complete to detect.Judge whether workpiece is qualified according to testing result, and its class, thus classifying to workpiece.
Description
(1) art
The present invention relates to industrial camera detection field, detect the field of cylindrical workpiece especially with industrial camera.
(2) background technology
With developing rapidly of machine vision imageing sensor, industrial camera is divided into line-scan digital camera from scanning theory substantially
And area array cameras, and scanning speed more and more higher, line-scan digital camera is up to 120Kline/s, and area array cameras picking rate also reaches
500FPS (refresh rate).In current detection is applied, line-scan digital camera is mainly used in printing checking, and planar disfigurement detects；Face battle array
Camera is used for overall size and detects, image procossing compares, the demand such as positioning.
In recent years, cmos image sensor technology developed rapidly, and the area array sensor time of exposure with overall situation exposure can
Control in about 10us about, output control function is powerful, can achieve 1line output by AOI (automatic optics inspection) function,
Output frame rate also up to 30kline/s, also can achieve face battle array 1280*1024 output, this just applies in some industry spot simultaneously
Occasion can improve efficiency in conjunction with the advantage of line-scan digital camera dough-making powder array camera, cost-effective.
Cylindrical periphery image acquisition is typically scanned by the way of object rotation with line-scan digital camera at present, then
Software expands into plane picture and processes；
Diameter for cylinder and height then add back light by area array cameras and gather image, demarcate a pixel first
Corresponding size, the diameter number of pixels according to workpiece and height number of pixels then can calculate diameter and height.
Require detection two aspect contents under normal circumstances, then ripe solution is exactly to be measured with a table top array camera
The diameter of cylinder and length, launch cylindrical side with a line-scan digital camera, detect side face defects；
The shortcoming of prior art is：
1. need 2 cameras, a line-scan digital camera gathers cylindrical side surface image, analyzing defect, another table top array camera
Collection cylinder outline, calculates body diameter and height；Two cameras need to design two installation stations, need space big, knot
Structure is complicated, and Synchronization Control is difficult, with high costs.
2. line-scan digital camera speed is fast, typically all camera link interface or gigabit network interface, needs to be equipped with special
Capture card could work, overall solution high cost.
For above deficiency, the present invention both can gather cylindrical side surface image using a table top array camera, analyzing defect,
Cylinder outline can be gathered again, calculate body diameter and height.
(3) content of the invention
It is an object of the invention to provide one kind both can gather cylindrical side surface image using a table top array camera, analysis
Defect, can gather cylinder outline again, the method calculating body diameter and height.
The object of the present invention is achieved like this：
The frame for movement of the present invention includes：Main frame, camera, line clear off source, workpiece to be checked, are examining station and workpiece, examining
Workpiece, driving Timing Belt, charging driving wheel, discharging driving wheel and backlight.
Control module of the present invention includes area array cameras control module, AOI automatic optics inspection module, main frame.
Its workflow is：Workpiece to be checked by driving Timing Belt to be sent to charging driving wheel, by charging driving wheel workpiece
It is sent in inspection station, rotated under the driving of driving wheel after examining station when workpiece reaches, now open backlight, if
Put camera and work as face battle array sampling configuration, collection in inspection workpiece outer surface system of battle formations picture, and calculate inspection workpiece diameter and
Highly.Subsequently, workpiece rotary speed is obtained by the encoder coaxial with driving wheel, calculate line frequency sweep rate, change camera works and is
Linear array pattern, arranges line frequency sweep rate, opens line and clears off source, gather workpiece side surface image, identifies Surface Flaw, completes to examine
Survey.According to testing result, main frame 1 judges whether workpiece is qualified, and its class, thus classifying to workpiece.
(4) brief description
Accompanying drawing 1 is the mechanical construction drawing of the present invention.Wherein 1 is main frame；2 is camera；3 is that line clears off source；4 is work to be checked
Part；5 is in inspection station and workpiece；6 is to have examined workpiece：7 is to drive Timing Belt；8 is charging driving wheel；9 is discharging driving wheel；10
It is backlight.
The hardware configuration of the present invention is shown in accompanying drawing 2.Wherein AOI is automatic optics inspection module.
Fig. 3 is the workflow diagram of the present invention.
(5) specific embodiment
The operation principle of the present invention is as follows：
As shown in accompanying drawing 1, accompanying drawing 2 and accompanying drawing 3：Workpiece 4 to be checked by driving Timing Belt 7 to be sent to charging driving wheel 8, by entering
Material 8 workpiece of driving wheel are sent in inspection station 5, carry out after examining station 5 when workpiece reaches under the driving of driving wheel 8 and 9
Rotation, now opens backlight 10, setting camera 2 works as face battle array sampling configuration, collection is in the inspection workpiece 5 outer surface system of battle formations
Picture, and calculate in the diameter examining workpiece 5 and height；Subsequently, workpiece rotation speed is obtained by the encoder coaxial with driving wheel 8
Degree, calculates line frequency sweep rate, changes camera and works as linear array pattern, arranges line frequency sweep rate, opens line and clears off source 3, gathers workpiece 5 side
Surface image, identifies workpiece 5 surface defect, completes to detect.Judge whether workpiece is qualified according to testing result, and its class, from
And workpiece is classified.
Claims (3)
1. industrial camera cylinder detection method, its technical characteristic is：
Frame for movement includes：Main frame 1, camera 2, line clear off source 3, workpiece to be checked 4, are examining station and workpiece 5, examining workpiece 6, driven
Dynamic Timing Belt 7, charging driving wheel 8, discharging driving wheel 9 and backlight 10；
Control module includes area array cameras control module, AOI automatic optics inspection module, main frame；
Workflow is：Workpiece 4 to be checked, by driving Timing Belt 7 to be sent to charging driving wheel 8, is passed by charging 8 workpiece of driving wheel
Deliver in inspection station 5, rotated under the driving of driving wheel 8 and 9 after examining station 5 when workpiece reaches, now open backlight
Source 10, setting camera 2 works as face battle array sampling configuration, and collection is in inspection workpiece 5 outer surface system of battle formations picture, and calculates in inspection workpiece
5 diameter and height：Subsequently, workpiece rotary speed is obtained by the encoder coaxial with driving wheel 8, calculate line frequency sweep rate, change
Camera works as linear array pattern, arranges line frequency sweep rate, opens line and clears off source 3, gather workpiece 5 side surface image, identifies workpiece 5 table
Planar defect, completes to detect；According to testing result, main frame 1 judges whether workpiece is qualified, and its class, thus carrying out to workpiece point
Class.
2. detection method according to claim 1, its technical characteristic is：Cylindrical side surface image and outline detection are using same
One camera.
3. detection method according to claim 1, its technical characteristic is：Cylindrical side surface image and outline detect same
Station is carried out.
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| CN201610854390.8A CN106468668B (en) | 2016-09-28 | 2016-09-28 | Industrial camera cylinder detection method |
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| CN201610854390.8A CN106468668B (en) | 2016-09-28 | 2016-09-28 | Industrial camera cylinder detection method |
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| CN106468668A true CN106468668A (en) | 2017-03-01 |
| CN106468668B CN106468668B (en) | 2019-03-12 |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107192718A (en) * | 2017-05-13 | 2017-09-22 | 苏州智能制造研究院有限公司 | A kind of apparatus and method of cylinder and cone surface Scanning Detction |
| CN107238605A (en) * | 2017-06-08 | 2017-10-10 | 广东嘉铭智能科技有限公司 | A kind of cylindric outer surface of workpiece defect inspection method and device |
| CN108426887A (en) * | 2018-03-05 | 2018-08-21 | 陈叶 | A kind of automatic detection system |
| CN108692665A (en) * | 2018-08-09 | 2018-10-23 | 中国船舶重工集团公司第七研究所 | A kind of method for automatic measurement and its system of round piece diameter |
| CN110187140A (en) * | 2019-05-10 | 2019-08-30 | 北京理工大学 | A kind of image acquiring device and image acquiring method |
| CN110658212A (en) * | 2019-09-25 | 2020-01-07 | 浙江大学 | Shaft part surface full-view image acquisition device for defect identification |
| JP2020085774A (en) * | 2018-11-29 | 2020-06-04 | 日本電気硝子株式会社 | Method for inspecting tube glass, method for learning, and tube glass inspection device |
| CN111707670A (en) * | 2020-06-28 | 2020-09-25 | 武汉精立电子技术有限公司 | Defect detection method and device based on rotary carrying platform |
| CN111928797A (en) * | 2020-10-12 | 2020-11-13 | 山东海德智汇智能装备有限公司 | 3D high-precision detection system based on laser scanning imaging |
| CN112304974A (en) * | 2020-11-06 | 2021-02-02 | 长沙麦睛科技有限公司 | Device and method for detecting defects of coaxial cylinder-like product with complex surface by using artificial intelligence |
| CN113139943A (en) * | 2021-04-22 | 2021-07-20 | 苏州华兴源创科技股份有限公司 | Method and system for detecting appearance defects of open circular ring workpiece and computer storage medium |
| CN113376176A (en) * | 2021-06-11 | 2021-09-10 | 宁波星帆信息科技有限公司 | Visual inspection device |
| CN114113081A (en) * | 2021-11-09 | 2022-03-01 | 厦门聚视智创科技有限公司 | Array scanning mechanism for mobile phone backboard appearance detection equipment and working method thereof |
| CN114460077A (en) * | 2022-01-20 | 2022-05-10 | 深圳至汉装备科技有限公司 | Columnar magnetic material detection equipment |
| CN115086522A (en) * | 2022-06-10 | 2022-09-20 | 福州大学 | Method for acquiring image of surface of bar-shaped metal |
| CN117740828A (en) * | 2024-02-20 | 2024-03-22 | 宁德时代新能源科技股份有限公司 | Encapsulation detection system and encapsulation detection method for cylindrical battery cell |
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Cited By (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107192718A (en) * | 2017-05-13 | 2017-09-22 | 苏州智能制造研究院有限公司 | A kind of apparatus and method of cylinder and cone surface Scanning Detction |
| CN107238605A (en) * | 2017-06-08 | 2017-10-10 | 广东嘉铭智能科技有限公司 | A kind of cylindric outer surface of workpiece defect inspection method and device |
| CN108426887A (en) * | 2018-03-05 | 2018-08-21 | 陈叶 | A kind of automatic detection system |
| CN108692665A (en) * | 2018-08-09 | 2018-10-23 | 中国船舶重工集团公司第七研究所 | A kind of method for automatic measurement and its system of round piece diameter |
| JP2020085774A (en) * | 2018-11-29 | 2020-06-04 | 日本電気硝子株式会社 | Method for inspecting tube glass, method for learning, and tube glass inspection device |
| JP7151426B2 (en) | 2018-11-29 | 2022-10-12 | 日本電気硝子株式会社 | Tube glass inspection method, learning method and tube glass inspection device |
| CN110187140A (en) * | 2019-05-10 | 2019-08-30 | 北京理工大学 | A kind of image acquiring device and image acquiring method |
| CN110187140B (en) * | 2019-05-10 | 2021-06-25 | 北京理工大学 | Image acquisition device and image acquisition method |
| CN110658212A (en) * | 2019-09-25 | 2020-01-07 | 浙江大学 | Shaft part surface full-view image acquisition device for defect identification |
| CN111707670A (en) * | 2020-06-28 | 2020-09-25 | 武汉精立电子技术有限公司 | Defect detection method and device based on rotary carrying platform |
| CN111707670B (en) * | 2020-06-28 | 2023-10-27 | 武汉精立电子技术有限公司 | Defect detection method and device based on rotary carrier |
| CN111928797A (en) * | 2020-10-12 | 2020-11-13 | 山东海德智汇智能装备有限公司 | 3D high-precision detection system based on laser scanning imaging |
| CN111928797B (en) * | 2020-10-12 | 2021-01-01 | 山东海德智汇智能装备有限公司 | 3D high-precision detection system based on laser scanning imaging |
| CN112304974A (en) * | 2020-11-06 | 2021-02-02 | 长沙麦睛科技有限公司 | Device and method for detecting defects of coaxial cylinder-like product with complex surface by using artificial intelligence |
| CN113139943B (en) * | 2021-04-22 | 2022-08-12 | 苏州华兴源创科技股份有限公司 | Method and system for detecting appearance defects of open circular ring workpiece and computer storage medium |
| CN113139943A (en) * | 2021-04-22 | 2021-07-20 | 苏州华兴源创科技股份有限公司 | Method and system for detecting appearance defects of open circular ring workpiece and computer storage medium |
| CN113376176A (en) * | 2021-06-11 | 2021-09-10 | 宁波星帆信息科技有限公司 | Visual inspection device |
| CN114113081A (en) * | 2021-11-09 | 2022-03-01 | 厦门聚视智创科技有限公司 | Array scanning mechanism for mobile phone backboard appearance detection equipment and working method thereof |
| CN114460077A (en) * | 2022-01-20 | 2022-05-10 | 深圳至汉装备科技有限公司 | Columnar magnetic material detection equipment |
| CN115086522A (en) * | 2022-06-10 | 2022-09-20 | 福州大学 | Method for acquiring image of surface of bar-shaped metal |
| CN117740828A (en) * | 2024-02-20 | 2024-03-22 | 宁德时代新能源科技股份有限公司 | Encapsulation detection system and encapsulation detection method for cylindrical battery cell |
| CN117740828B (en) * | 2024-02-20 | 2024-06-25 | 宁德时代新能源科技股份有限公司 | Encapsulation detection system and encapsulation detection method for cylindrical battery cell |
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