CN106468668B - Industrial camera cylinder detection method - Google Patents
Industrial camera cylinder detection method Download PDFInfo
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- CN106468668B CN106468668B CN201610854390.8A CN201610854390A CN106468668B CN 106468668 B CN106468668 B CN 106468668B CN 201610854390 A CN201610854390 A CN 201610854390A CN 106468668 B CN106468668 B CN 106468668B
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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
Abstract
The present invention relates to a kind of industrial camera cylinder detection methods.Workpiece to be checked is sent to charging driving wheel by driving synchronous belt, workpiece is sent in inspection station by charging driving wheel, it is rotated under the driving of driving wheel after examining station when workpiece is reached, backlight is opened at this time, it is face battle array sampling configuration that camera, which is arranged, to work, acquisition calculates the diameter and height in inspection workpiece in inspection workpiece outer surface system of battle formations picture.Then, by obtaining workpiece rotation speed with the coaxial encoder of driving wheel, line frequency sweep rate is calculated, changing camera work is linear array mode, and line frequency sweep rate is arranged, and opens line and clears off source, acquire workpiece side surface image, identify Surface Flaw, completes detection.Judge whether workpiece qualified and its class according to testing result, to classify to workpiece.
Description
(1) technical field
The present invention relates to industrial camera detection fields, especially with the field of industrial camera detection cylinder workpiece.
(2) background technique
With the rapid development of machine vision imaging sensor, industrial camera is divided into line-scan digital camera substantially from scanning theory
And area array cameras, and scanning speed is higher and higher, and line-scan digital camera is up to 120Kline/s, and area array cameras acquisition speed also reaches
500FPS (refresh rate).In current detection application, line-scan digital camera is mainly used for printing checking, planar disfigurement detection；Face battle array
Camera is detected for overall size, and image procossing compares, the demands such as positioning.
In recent years, cmos image sensor technology developed rapidly, and had the area array sensor time for exposure of global exposure can
In about 10us or so, output control function is powerful for control, and 1line output can be realized by AOI (automatic optics inspection) function,
Output frame rate can also realize face battle array 1280*1024 output also up to 30kline/s, this is just in some industry spot applications
The advantages of occasion is in combination with line-scan digital camera and area array cameras, improves efficiency, and saves cost.
The periphery Image Acquisition of cylindrical body is generally scanned by the way of object rotation with line-scan digital camera at present, then
Software expands into flat image processing；
Diameter and height for cylinder then add back light to acquire image by area array cameras, demarcate a pixel first
Corresponding size can then calculate diameter and height according to the diameter number of pixels of workpiece and height number of pixels.
Two aspect contents of detection are required under normal conditions, then mature solution is exactly that a table top array camera is used to measure
The diameter and length of cylinder are unfolded cylindrical side with a line-scan digital camera, detect side face defects；
The shortcomings that prior art, is:
1. needing 2 cameras, a line-scan digital camera acquires cylindrical side surface image, analyzing defect, another table top array camera
Cylinder outer profile is acquired, body diameter and height are calculated；Two cameras need to design two installation stations, need space big, knot
Structure is complicated, and synchronously control is difficult, with high costs.
2. line-scan digital camera speed is fast, typically camera link interface or gigabit network interface, need to be equipped with dedicated
Capture card could work, and whole solution is at high cost.
Against the above deficiency, the present invention can both acquire cylindrical side surface image using a table top array camera, analyzing defect,
Cylinder outer profile can be acquired again, calculate body diameter and height.
(3) summary of the invention
Cylindrical side surface image can both be acquired using a table top array camera it is an object of the invention to provide a kind of, analyzed
Defect, and cylinder outer profile can be acquired, the method for calculating body diameter and height.
The object of the present invention is achieved like this:
Mechanical structure of the invention include: host, camera, line clear off source, workpiece to be checked, in inspection station and workpiece, examined
Workpiece, driving synchronous 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, host.
Its workflow is: workpiece to be checked is sent to charging driving wheel by driving synchronous belt, by charging driving wheel workpiece
It is sent in inspection station, is rotated under the driving of driving wheel after examining station when workpiece is reached, open backlight at this time, if
Set camera work be face battle array sampling configuration, acquisition inspection workpiece outer surface system of battle formations picture, and calculate inspection workpiece diameter and
Highly.Then, by obtaining workpiece rotation speed with the coaxial encoder of driving wheel, line frequency sweep rate is calculated, changing camera work is
Line frequency sweep rate is arranged in linear array mode, opens line and clears off source, acquire workpiece side surface image, identify Surface Flaw, completes inspection
It surveys.Host 1 judges whether workpiece qualified and its class according to testing result, to classify to workpiece.
(4) Detailed description of the invention
Attached drawing 1 is mechanical construction drawing of the invention.Wherein 1 is host；2 be camera；3 be that line clears off source；4 be work to be checked
Part；5 be in inspection station and workpiece；6 be to have examined workpiece: 7 be driving synchronous belt；8 be charging driving wheel；9 be discharging driving wheel；10
It is backlight.
Hardware configuration of the invention is as shown in attached drawing 2.Wherein AOI is automatic optics inspection module.
Fig. 3 is work flow diagram of the invention.
(5) specific embodiment
Working principle of the present invention is as follows:
As shown in attached drawing 1, attached drawing 2 and attached drawing 3: workpiece 4 to be checked by driving synchronous belt 7 be sent to charging driving wheel 8, by into
Material driving wheel 8 is sent to workpiece in inspection station 5, carries out under the driving of driving wheel 8 and 9 after examining station 5 when workpiece is reached
Backlight 10 is opened in rotation at this time, and it is face battle array sampling configuration that setting camera 2, which works, and acquisition is in the inspection 5 outer surface system of battle formations of workpiece
Picture, and calculate diameter and height in inspection workpiece 5；Then, by obtaining workpiece rotation speed with the coaxial encoder of driving wheel 8
Degree calculates line frequency sweep rate, and changing camera work is linear array mode, and line frequency sweep rate is arranged, and opens line and clears off source 3, acquires 5 side of workpiece
Surface image identifies 5 surface defect of workpiece, completes detection.Judge whether workpiece qualified and its class according to testing result, from
And classify to workpiece.
Claims (3)
1. industrial camera cylinder detection method, technical characteristic is:
Mechanical structure include: host (1), camera (2), line clear off source (3), workpiece to be checked (4), in inspection workpiece (5), examined workpiece
(6), synchronous belt (7), charging driving wheel (8), discharging driving wheel (9) and backlight (10) are driven；
Control module includes area array cameras control module, AOI automatic optics inspection module, host；
Workflow is: workpiece (4) to be checked is sent to charging driving wheel (8) by driving synchronous belt (7), by charging driving wheel (8)
Workpiece is sent in inspection station, is rotated under the driving of driving wheel (8,9) after examining workpiece (5), opens backlight at this time
Source (10), it is face battle array sampling configuration that setting camera (2), which works, and acquisition is calculated in inspection workpiece (5) outer surface system of battle formations picture
Examine the diameter and height of workpiece (5)；Then, it by obtaining workpiece rotation speed with the coaxial encoder of driving wheel (8), calculates line and sweeps
Frequency, changing same camera (2) work is linear array scanning acquisition mode, and line frequency sweep rate is arranged, and opens line and clears off source (3),
Inspection workpiece (5) rotates a circle under driving wheel (8,9) driving, and camera (2) acquisition is completed in inspection workpiece (5) side surface image, knows
Not in inspection workpiece (5) surface defect, detection is completed；Host (1) is according in inspection workpiece (5) diameter and height and surface defect letter
Breath judges whether workpiece qualified and its class, to classify to workpiece.
2. detection method according to claim 1, technical characteristic are: cylindrical side surface image and outer profile detection are using same
One camera, setting camera, which works, acquires workpiece outer profile image in face battle array acquisition mode, and setting camera works to be acquired in linear array
Type collection workpiece surveys surface image.
3. detection method according to claim 2, technical characteristic are: cylindrical side surface image and outer profile detection are same
Station carries out, and acquires outer profile image acquisition by switching backlight, switching frontal line clears off source acquisition side surface image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610854390.8A CN106468668B (en) | 2016-09-28 | 2016-09-28 | Industrial camera cylinder detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610854390.8A CN106468668B (en) | 2016-09-28 | 2016-09-28 | Industrial camera cylinder detection method |
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| Publication Number | Publication Date |
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| CN106468668A CN106468668A (en) | 2017-03-01 |
| CN106468668B true CN106468668B (en) | 2019-03-12 |
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| CN201610854390.8A Active CN106468668B (en) | 2016-09-28 | 2016-09-28 | Industrial camera cylinder detection method |
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| 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 |
| CN107238605B (en) * | 2017-06-08 | 2021-07-02 | 广东嘉铭智能科技有限公司 | Method and device for detecting defects on outer surface of cylindrical workpiece |
| CN108426887B (en) * | 2018-03-05 | 2020-10-30 | 金寨智行知识产权运营有限公司 | Automatic change check out test set |
| CN108692665B (en) * | 2018-08-09 | 2020-10-02 | 中国船舶重工集团公司第七一一研究所 | Automatic measuring method and system for diameter of circular workpiece |
| 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 |
| 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 |
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| 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 |
| 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 |
| CN115086522B (en) * | 2022-06-10 | 2023-05-26 | 福州大学 | Bar-shaped metal surface image acquisition method |
| 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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Address after: 100142, Haidian District, Beijing, West Fourth Ring Road, No. 158, Wumart Hui building, East 9 floor, 9F, Beijing Kai Jia Photoelectric Equipment Co., Ltd. Applicant after: Beijing Kai Wei Jia Photoelectric Equipment Co., Ltd. Address before: 100089 Beijing city Haidian District North wa Xi Li Yee Jiayuan district 18A-202 Applicant before: Beijing Kai Wei Jia Photoelectric Equipment Co., Ltd. |
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