CN106468668B - Industrial camera cylinder detection method - Google Patents

Industrial camera cylinder detection method Download PDF

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Publication number
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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CN
China
Prior art keywords
workpiece
driving wheel
inspection
camera
image
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Application number
CN201610854390.8A
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Chinese (zh)
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CN106468668A (en
Inventor
郭坡
柯有勇
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北京凯视佳光电设备有限公司
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Priority to CN201610854390.8A priority Critical patent/CN106468668B/en
Publication of CN106468668A publication Critical patent/CN106468668A/en
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Publication of CN106468668B publication Critical patent/CN106468668B/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/95Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/952Inspecting 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

Industrial camera cylinder detection method

(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.
CN201610854390.8A 2016-09-28 2016-09-28 Industrial camera cylinder detection method CN106468668B (en)

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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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CN106468668B true CN106468668B (en) 2019-03-12

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Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
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
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

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US4307711A (en) * 1980-02-25 1981-12-29 Doundoulakis George J Sun tracking solar energy collector system
CN101571421A (en) * 2009-06-16 2009-11-04 中国科学院西安光学精密机械研究所 Hadamard transform imaging spectrometer
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CN204832067U (en) * 2015-07-28 2015-12-02 武汉艾可瑞特自动化有限公司 Online image detection system of glass bottle
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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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