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CN109596058A - Size detection and identification method for plastic workpiece - Google Patents

Size detection and identification method for plastic workpiece Download PDF

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Publication number
CN109596058A
CN109596058A CN201910101497.9A CN201910101497A CN109596058A CN 109596058 A CN109596058 A CN 109596058A CN 201910101497 A CN201910101497 A CN 201910101497A CN 109596058 A CN109596058 A CN 109596058A
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Prior art keywords
workpiece
station
identifying
size
image acquisition
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CN201910101497.9A
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Inventor
谭良
赵大庆
蔡毓
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Dongguan Zhongke Lanhai Intelligent Vision Technology Co ltd
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Dongguan Zhongke Lanhai Intelligent Vision Technology Co ltd
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Priority to CN201910101497.9A priority Critical patent/CN109596058A/en
Publication of CN109596058A publication Critical patent/CN109596058A/en
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
    • G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
    • G01B11/12—Measuring arrangements characterised by the use of optical techniques for measuring diameters internal diameters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/50—Constructional details
    • H04N23/55—Optical parts specially adapted for electronic image sensors; Mounting thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/56—Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Geometry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention relates to the technical field of visual inspection, in particular to a size detection and identification method of a plastic workpiece, which comprises the following steps of 1: moving the workpiece to a first station and a second station in sequence for image acquisition; step 2: carrying out spot detection algorithm operation and circle detection algorithm operation on the image acquired at the first station, identifying and positioning the workpiece, and measuring the inner diameter and outer diameter of the workpiece; and step 3: performing line segment detection algorithm operation and line measurement algorithm operation on the image acquired at the second station, identifying line segments formed on the upper surface and the lower surface of the workpiece and measuring the height of the product; and 4, step 4: the identified inner diameter information, outer diameter information and workpiece height information of the workpiece are converted into readable data information to be output, two stations are arranged, each station only carries out size detection on the workpiece, the accuracy of detection and identification is effectively guaranteed, meanwhile, the difficulty of algorithm design is reduced, the operation time of a complex algorithm is shortened, and the production efficiency is improved.

Description

The size detection recognition methods of plastic workpiece
Technical field
The present invention relates to technical field of vision detection, refer in particular to a kind of size detection recognition methods of plastic workpiece.
Background technique
The characteristics of Machine Vision Detection is the flexibility and the degree of automation for improving production.It is not suitable for manual work some Dangerous work environment or artificial vision be difficult to the occasion met the requirements, machine in normal service vision substitutes artificial vision；Exist simultaneously In high-volume industrial processes, manually visual inspection product quality low efficiency and precision is not high, with Machine Vision Detection side Method can greatly improve the degree of automation of production efficiency and production.And machine vision is easily achieved information integration, is to realize The basic technology of computer integrated manufacturing system.Vision-based detection is exactly to replace human eye with machine to measure and judge.Vision-based detection is Refer to that, by machine vision product, image-pickup device is divided to CMOS and two kinds of CCD, will be ingested target and be converted into picture signal, It sends dedicated image processing system to, according to the information such as pixel distribution and brightness, color, is transformed into digitized signal；Image System carries out various operations to these signals to extract clarification of objective, and then the equipment at scene is controlled according to the result of differentiation Movement.It is the valuable mechanism for producing, assembling or pack.It is in detection defect and prevents from faulty goods to be dispensed into disappearing There is immeasurable value in terms of the function of the person of expense.
As above situation, vision-based detection has huge market value, most crucial in vision-based detection system not to be Hardware device but algorithm steps, and algorithm steps can be because of testing result requirement, product shape, operating environment situation and design The appearance of the factors such as the technical capability of personnel or group is multifarious, if core algorithm step design shortcoming, affects a whole set of view Feel the operational efficiency and running quality of detection device, and in the size detection recognizer step of plastic workpiece, in the market greatly The use cost of portion of techniques scheme is high, while the algorithm steps also complex conventional change for being unfavorable for those skilled in the art The operations such as parameter setting.
Summary of the invention
Two stations are used the technical problem to be solved in the present invention is to provide a kind of, each station only carries out one to workpiece Size detection while guaranteeing high detection accuracy rate, reduces the operation time that algorithm design difficulty reduces complicated algorithm, improves life Produce the size detection recognition methods of the plastic workpiece of efficiency.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme: a kind of size detection of plastic workpiece is known Other method, includes the following steps, step 1: workpiece being successively moved to station one and station two carries out Image Acquisition；
Step 2: the image that station one is acquired carries out the operation of spot detection algorithm and circle detection algorithm operation, carries out to workpiece The internal diameter and outer diameter of identification positioning and measurement workpiece；
Step 3: the image that station two is acquired carries out Line Segment Detection Algorithm operation and line line Measurement Algorithm operation, identifies on workpiece The line segment of surface and lower surface formation simultaneously measures product height；
Step 4: it is defeated that the workpiece diameter information, outer diameter information and workpiece height information of identification being converted into readable data information Out.
Preferably, station one carries out red light irradiation auxiliary using annular light source and completes Image Acquisition in the step 1, should Vertical spacing distance between annular light source and workpiece is 180 to 300 millimeters.
Preferably, station one carries out red light irradiation auxiliary using annular light source and completes Image Acquisition in the step 1, should Vertical spacing distance between annular light source and workpiece is 230 millimeters.
Preferably, station one is arranged in pairs or groups 8 to 16 millimeters of fixed-focus using 300 to 6,000,000 pixel industrial cameras in the step 1 Camera lens completes Image Acquisition, and wherein the vertical spacing distance between tight shot and workpiece is 300 to 480 millimeters.
Preferably, station one is completed using 12 millimeters of the collocation of 5,000,000 pixel industrial cameras of tight shot in the step 1 Image Acquisition, wherein the vertical spacing distance between tight shot and workpiece is 395 millimeters.
Preferably, station two carries out backlight illumination auxiliary using parallel area source and completes Image Acquisition in the step 1, should Horizontal interval distance between parallel area source and workpiece is 90 to 200 millimeters.
Preferably, station two carries out backlight illumination auxiliary using parallel area source and completes Image Acquisition in the step 1, should Horizontal interval distance between parallel area source and workpiece is 130 millimeters.
Preferably, station two uses 300 to 6,000,000 pixel industrial cameras, 0.08 to 0.25 multiplying power of collocation in the step 1 Telecentric lens complete Image Acquisition, and wherein the horizontal interval distance between telecentric lens and workpiece is 130 to 260 millimeters.
Preferably, station two is completed using 5,000,000 pixel industrial cameras, 0.11 multiplying power telecentric lens of collocation in the step 1 Image Acquisition, wherein the horizontal interval distance between telecentric lens and workpiece is 190 millimeters.
Preferably, the annular light source includes circular shell, the circular light lamp for being installed on circular shell downside and passes through The shooting duct of circular shell Yu circular light lamp is worn, circular shell is fixedly connected with regulating arm and driving regulating arm horizontal movement First driving device.
The beneficial effects of the present invention are: the present invention provides a kind of size detection recognition methods of plastic workpiece, in reality In the application of border, station one completes Image Acquisition using the annular light source auxiliary of transmitting red light, and annular light source is placed in above workpiece Cooperation camera shoots workpiece, the light source can uniform illumination whole visual field, the contour feature of prominent workpiece, to obtain The image of high contrast, is analyzed and processed convenient for software.Station two cooperated by the way of backlight illumination camera to workpiece into Row shooting, the light source can highlight the contour feature of workpiece, to obtain the image of high contrast, be analyzed convenient for software Processing.By the way that two stations are arranged, each station only carries out a size detection to workpiece, and detection identification is effectively guaranteed Accuracy rate, while the operation time that algorithm design difficulty reduces complicated algorithm is reduced, improve production efficiency.
Detailed description of the invention
Fig. 1 is the positive structure schematic of tight shot, annular light source and workpiece in station one of the present invention.
Fig. 2 is the schematic perspective view of a kind of annular light source of station of the present invention, regulating arm and first driving device.
Fig. 3 is the detection contrast schematic diagram of station pair of workpieces in the present invention.
Fig. 4 is the positive structure schematic of telecentric lens, parallel area source and workpiece in station two of the present invention.
Fig. 5 is detection contrast schematic diagram of the station two of the present invention to workpiece.
Specific embodiment
For the ease of the understanding of those skilled in the art, below with reference to embodiment, the present invention is further illustrated, real The content that the mode of applying refers to not is limitation of the invention.
As shown in Figures 1 to 5, the size detection recognition methods of a kind of plastic workpiece, includes the following steps, step 1: by work Part 5 is successively moved to station 1 and station 22 carries out Image Acquisition, and station 1 carries out red light irradiation using annular light source 3 Auxiliary completes Image Acquisition, and the vertical spacing distance between the annular light source 3 and workpiece 5 is 230 millimeters, the annular light source packet It includes circular shell 31, be installed on the circular light lamp 32 of 31 downside of circular shell and through circular shell 31 and circular light lamp 32 Shooting duct 33, circular shell 31 be fixedly connected with regulating arm 34 and drive 34 horizontal movement of regulating arm first driving dress 35 are set, station 1 completes Image Acquisition using 12 millimeters of the collocation of 5,000,000 pixel industrial cameras of tight shot 6, wherein fixed-focus mirror Vertical spacing distance between first 6 and workpiece 5 is 395 millimeters, and station 22 carries out backlight illumination auxiliary using parallel area source 4 Image Acquisition is completed, the horizontal interval distance between the parallel area source 4 and workpiece 5 is 130 millimeters, and station 22 uses 5,000,000 Pixel industrial camera 0.11 multiplying power telecentric lens 7 of collocation complete Image Acquisition, wherein the level between telecentric lens 7 and workpiece 5 Spacing distance is 190 millimeters；
Step 2: the image that station 1 is acquired carries out the operation of spot detection algorithm and circle detection algorithm operation, to workpiece 5 into The internal diameter and outer diameter of row identification positioning and measurement workpiece 5；
Step 3: the image that station 22 is acquired carries out Line Segment Detection Algorithm operation and line line Measurement Algorithm operation, identifies workpiece 5 The line segment of upper surface and lower surface formation simultaneously measures product height；
Step 4: it is defeated that 5 internal diameter information of workpiece, outer diameter information and 5 elevation information of workpiece of identification being converted into readable data information Out.
The size detection recognition methods of the plastic workpiece of the present embodiment, in practical applications, station 1 are red using transmitting The auxiliary of annular light source 3 of light completes Image Acquisition, and annular light source 3, which is placed in above workpiece 5, cooperates camera to shoot workpiece 5, The light source can uniform illumination whole visual field, the contour feature of prominent workpiece 5, so that the image of high contrast is obtained, convenient for soft Part is analyzed and processed.Station 22 cooperates camera to shoot workpiece 5 by the way of backlight illumination, which can be convex The contour feature of workpiece 5 is showed, to obtain the image of high contrast, is analyzed and processed convenient for software.Pass through setting two Station, each station only carry out a size detection to workpiece 5, and the accuracy rate of detection identification is effectively guaranteed, reduces simultaneously Algorithm design difficulty reduces the operation time of complicated algorithm, improves production efficiency.
In addition, being used for description purposes only if any term " first ", " second ", it is not understood to indicate or imply relatively heavy The property wanted or the quantity for implicitly indicating technical characteristic." first " is defined as a result, " second " feature can be expressed or implicit include One or more this feature, in the present description, " several " are meant that two or more, unless otherwise clearly having The restriction of body.
In the present invention, except as otherwise clear stipulaties and restriction, should make if any term " assembling ", " connected ", " connection " term Broad sense goes to understand, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It is also possible to mechanical connect It connects；It can be directly connected, be also possible to be connected by intermediary, can be and be connected inside two elements.For ability For the those of ordinary skill of domain, the concrete meaning of above-mentioned term in the present invention can be understood as the case may be.
Several embodiments of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention Protect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.

Claims (10)

1.塑胶工件的尺寸检测识别方法，其特征在于：包括如下步骤，1. The size detection and identification method of plastic workpiece is characterized in that: comprising the following steps, 步骤1：将工件（5）先后移动至工位一（1）和工位二（2）进行图像采集；Step 1: Move the workpiece (5) to station one (1) and station two (2) successively for image acquisition; 步骤2：将工位一（1）采集的图像进行斑点检测算法运算和圆形检测算法运算，对工件（5）进行识别定位以及测量工件（5）的内径和外径尺寸；Step 2: Perform the operation of the spot detection algorithm and the circular detection algorithm on the image collected by the station one (1), identify and locate the workpiece (5), and measure the inner diameter and outer diameter of the workpiece (5); 步骤3：将工位二（2）采集的图像进行线段检测算法运算和线线测量算法运算，识别工件（5）上表面与下表面形成的线段并测量产品高度；Step 3: Perform the line segment detection algorithm operation and the line line measurement algorithm operation on the image collected at the second (2) position, identify the line segment formed by the upper surface and the lower surface of the workpiece (5), and measure the height of the product; 步骤4：将识别的工件（5）内径信息、外径信息和工件（5）高度信息转换为可读取数据信息输出。Step 4: Convert the identified workpiece (5) inner diameter information, outer diameter information and workpiece (5) height information into readable data information for output. 2.根据权利要求1所述的塑胶工件的尺寸检测识别方法，其特征在于：所述步骤1中工位一（1）使用环形光源（3）进行红色光照射辅助完成图像采集，该环形光源（3）与工件（5）之间的竖直间隔距离为180至300毫米。2 . The method for detecting and identifying the size of a plastic workpiece according to claim 1 , wherein in the step 1, station one (1) uses a ring light source (3) to irradiate red light to assist in image acquisition, and the ring light source The vertical separation distance between (3) and workpiece (5) is 180 to 300 mm. 3.根据权利要求1所述的塑胶工件的尺寸检测识别方法，其特征在于：所述步骤1中工位一（1）使用环形光源（3）进行红色光照射辅助完成图像采集，该环形光源（3）与工件（5）之间的竖直间隔距离为230毫米。3 . The method for detecting and identifying the size of a plastic workpiece according to claim 1 , wherein in the step 1, station one (1) uses a ring light source (3) to irradiate red light to assist in image acquisition. 3 . The vertical separation distance between (3) and workpiece (5) is 230 mm. 4.根据权利要求1所述的塑胶工件的尺寸检测识别方法，其特征在于：所述步骤1中工位一（1）使用300至600万像素工业相机搭配8至16毫米的定焦镜头（6）完成图像采集，其中定焦镜头（6）与工件（5）之间的竖直间隔距离为300至480毫米。4. The method for detecting and identifying the size of a plastic workpiece according to claim 1, characterized in that: in the step 1, station one (1) uses a 3 to 6 million pixel industrial camera with an 8 to 16 mm fixed-focus lens ( 6) Image acquisition is completed, wherein the vertical separation distance between the fixed focus lens (6) and the workpiece (5) is 300 to 480 mm. 5.根据权利要求1所述的塑胶工件的尺寸检测识别方法，其特征在于：所述步骤1中工位一（1）使用500万像素工业相机搭配12毫米的定焦镜头（6）完成图像采集，其中定焦镜头（6）与工件（5）之间的竖直间隔距离为395毫米。5 . The method for detecting and identifying the size of a plastic workpiece according to claim 1 , wherein in the step 1, station one (1) uses a 5-megapixel industrial camera with a 12-mm fixed-focus lens (6) to complete the image. 6 . acquisition, wherein the vertical separation distance between the fixed focus lens (6) and the workpiece (5) is 395 mm. 6.根据权利要求1所述的塑胶工件的尺寸检测识别方法，其特征在于：所述步骤1中工位二（2）使用平行面光源（4）进行背光照射辅助完成图像采集，该平行面光源（4）与工件（5）之间的水平间隔距离为90至200毫米。6 . The method for detecting and identifying the size of a plastic workpiece according to claim 1 , wherein in the step 1, the second (2) of the work stations uses a parallel surface light source (4) to perform backlight illumination to assist in image acquisition, and the parallel surface The horizontal separation distance between the light source (4) and the workpiece (5) is 90 to 200 mm. 7.根据权利要求1所述的塑胶工件的尺寸检测识别方法，其特征在于：所述步骤1中工位二（2）使用平行面光源（4）进行背光照射辅助完成图像采集，该平行面光源（4）与工件（5）之间的水平间隔距离为130毫米。7 . The method for detecting and identifying the size of a plastic workpiece according to claim 1 , wherein in the step 1, the second (2) of the work stations uses a parallel surface light source (4) to perform backlight illumination to assist in image acquisition, and the parallel surface The horizontal separation distance between the light source (4) and the workpiece (5) is 130 mm. 8.根据权利要求1所述的塑胶工件的尺寸检测识别方法，其特征在于：所述步骤1中工位二（2）使用300至600万像素工业相机搭配0.08至0.25倍率远心镜头（7）完成图像采集，其中远心镜头（7）与工件（5）之间的水平间隔距离为130至260毫米。8 . The method for detecting and identifying the size of a plastic workpiece according to claim 1 , wherein in the second (2) of the step 1, a 3- to 6-megapixel industrial camera is used with a 0.08 to 0.25 magnification telecentric lens (7 . ) to complete the image acquisition, where the horizontal separation distance between the telecentric lens (7) and the workpiece (5) is 130 to 260 mm. 9.根据权利要求1所述的塑胶工件的尺寸检测识别方法，其特征在于：所述步骤1中工位二（2）使用500万像素工业相机搭配0.11倍率远心镜头（7）完成图像采集，其中远心镜头（7）与工件（5）之间的水平间隔距离为190毫米。9 . The method for detecting and identifying the size of a plastic workpiece according to claim 1 , wherein in the step 1, the second (2) station uses a 5-megapixel industrial camera with a 0.11-magnification telecentric lens (7) to complete image acquisition. 10 . , wherein the horizontal separation distance between the telecentric lens (7) and the workpiece (5) is 190 mm. 10.根据权利要求3所述的塑胶工件的尺寸检测识别方法，其特征在于：所述环形光源包括圆形壳体（31）、安装于圆形壳体（31）下侧面的圆形光灯（32）以及贯穿圆形壳体（31）与圆形光灯（32）的拍摄孔道（33），圆形壳体（31）固定连接有调节臂（34）以及驱动调节臂（34）水平运动的第一驱动装置（35）。10. The method for detecting and identifying the size of a plastic workpiece according to claim 3, wherein the ring light source comprises a circular casing (31) and a circular light installed on the lower side of the circular casing (31). (32) and a shooting hole (33) passing through the circular casing (31) and the circular light (32), the circular casing (31) is fixedly connected with an adjusting arm (34) and drives the adjusting arm (34) horizontally The moving first drive (35).
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CN110097540A (en) * 2019-04-20 2019-08-06 东莞中科蓝海智能视觉科技有限公司 The visible detection method and device of polygon workpeace
CN110608686A (en) * 2019-10-31 2019-12-24 大连理工大学 A visual measurement method and device for chamfered parts
CN110608686B (en) * 2019-10-31 2021-03-26 大连理工大学 A visual measurement method and device for chamfered parts
CN115655104A (en) * 2022-10-14 2023-01-31 佛山市顺德区宁睿自动化科技有限公司 Method for measuring size of concave object by multi-directional image capture

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Application publication date: 20190409