CN114280073A - Tile defect detection device adopting laser and camera composite detection mode and classification method - Google Patents

Tile defect detection device adopting laser and camera composite detection mode and classification method Download PDF

Info

Publication number
CN114280073A
CN114280073A CN202111611974.XA CN202111611974A CN114280073A CN 114280073 A CN114280073 A CN 114280073A CN 202111611974 A CN202111611974 A CN 202111611974A CN 114280073 A CN114280073 A CN 114280073A
Authority
CN
China
Prior art keywords
laser
camera
data
component
assembly
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111611974.XA
Other languages
Chinese (zh)
Inventor
宋维尔
杨洋
郑宇�
王伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Guangheng Technology Co ltd
Original Assignee
Nanjing Guangheng Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Guangheng Technology Co ltd filed Critical Nanjing Guangheng Technology Co ltd
Priority to CN202111611974.XA priority Critical patent/CN114280073A/en
Publication of CN114280073A publication Critical patent/CN114280073A/en
Priority to CN202211237871.6A priority patent/CN115508381A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

The invention provides a ceramic tile defect detection device adopting a laser and camera composite detection mode, which comprises a belt conveyor component, a photoelectric trigger component, a metering wheel trigger component, a camera acquisition system, a laser contour scanning component, an image processing unit, an upper computer display component and a marking/reminding component, wherein the belt conveyor component is connected with the photoelectric trigger component; the belt conveyor component conveys the ceramic tiles to be detected to run; the photoelectric trigger component is used for sending a photoelectric trigger signal to start or end work; the meter wheel trigger assembly is used for sending out a scanning pulse trigger signal; and the image processing unit is used for processing the pictures shot by the camera acquisition system and the point cloud data acquired by the laser contour scanning assembly, and transmitting the detection results to the upper computer display assembly and the marking/reminding assembly after the processing. The method of the device is also provided, the ceramic tile is detected in a laser and camera combined detection mode, complete ceramic tile defect detection can be achieved, and more accurate defect classification, qualitative analysis and quantitative analysis can be achieved for the defects.

Description

Tile defect detection device adopting laser and camera composite detection mode and classification method
Technical Field
The invention belongs to the technical field of defect detection methods, and particularly relates to a tile defect detection device and a classification method in a laser and camera composite detection mode.
Background
Along with the improvement of high quality level of manufacturing industry, the current ceramic product production line basically completes automatic transformation, a manual visual detection method is usually adopted for detecting ceramic defects on the production line at present, and as the detection precision and the detection requirement consistency can not meet the requirement of quality improvement of factories, the complaints of terminal customers are more; the industrial environment of a ceramic manufacturing plant is relatively poor, the labor intensity is high, the problems of personnel mobility and recruitment become the bottleneck of production capacity expansion, and ceramic production enterprises urgently need to carry out automatic modification on the existing quality inspection stations.
The method can well realize defect identification and product classification, and along with the quality level improvement of domestic manufacturers, more and more enterprises need more abundant and more detailed defect quality data for statistical analysis of causes of defects.
In addition, the detection mode of combining a camera with an AI algorithm is adopted, the detection mode is limited by the reasons of complexity of the tile background and variety of tile types, the actual application effect is poor, and the detection requirement of manufacturers cannot be met temporarily.
Disclosure of Invention
The technical scheme is as follows: in order to solve the technical problem, the invention provides a tile defect detection device with a laser and camera composite detection mode during tile defect detection, which specifically comprises the following steps:
the device comprises a belt conveyor component, a photoelectric trigger component, a metering wheel trigger component, a camera acquisition system, a laser profile scanning component, an image processing unit, an upper computer display component and a marking/reminding component; the belt conveyor component conveys the ceramic tiles to be detected to run; the photoelectric trigger assembly is used for sending a photoelectric trigger signal to the camera acquisition system and the laser profile scanning assembly when the ceramic tile runs to the position of the photoelectric trigger assembly, and is used for starting or ending work; the metering wheel trigger assembly is used for sending the number of shooting lines of the camera acquisition system and the number of scanning pulse lines of the laser contour scanning assembly; the camera acquisition system is used for acquiring the image of the ceramic tile and transmitting the image to the image processing unit; the laser contour scanning assembly is used for collecting three-dimensional point cloud data of the ceramic tile and transmitting the three-dimensional point cloud data to the image processing unit; the image processing unit is used for carrying out 3D data fusion processing on the acquired camera image information and point cloud data of the line laser profile scanner, processing the transmitted data and transmitting the processed data to the upper computer display component and the marking/reminding component.
As an improvement, the upper computer display assembly is used for storing and displaying defect information of the ceramic tiles, and the marking/reminding assembly is used for sending and storing grade grading information and abnormity reminding signals of the ceramic tiles.
As an improvement, the camera acquisition system comprises at least one group of shooting cameras and at least one group of light source components; the laser profile scanning assembly is a linear array laser profile scanner and comprises a profile scanning system consisting of a single-point or multi-point laser ranging module.
The invention adopts a composite means of laser profile scanning and camera acquisition to acquire the defects of the ceramic tiles, can perform three-dimensional defect detection by adopting a means of fusing 3D profile data and the defect data of the camera, and further can select and match the number of camera groups according to different detection requirements, thereby completing the mode of acquiring pictures in a single angle or multiple angles.
Meanwhile, the laser contour scanning assembly can be selectively configured according to different detection requirements, and the preferred selective linear array laser contour scanner comprises a contour scanning system consisting of single-point or multi-point laser ranging modules.
The invention also provides a ceramic tile defect detection and classification method adopting the laser and camera composite detection mode of the device, which comprises the following specific steps of S1: photographing a ceramic tile to be detected through a camera acquisition system to obtain a picture, and extracting picture information and edge data of the picture; s2: acquiring three-dimensional point cloud data of a to-be-detected ceramic tile through a laser contour scanning assembly and an imaging unit, extracting edge contour data, and performing inversion on a ceramic tile three-dimensional model to obtain three-dimensional stereo data and defect data; s3: preprocessing the data obtained in S1 and S2, wherein the preprocessing comprises elimination of abnormal data and edge cutting, 3D digitalizing the defect models obtained in S1 and S2, and performing multi-dimensional compound comparison on the defects by combining the sharp 3D point cloud information of the plane information of the defects, so that multi-dimensional fusion defect data are obtained: in S4, S4: and classifying the data obtained in the step S3 through a defect classifier and judging the defects in a grading way, displaying and storing the result information in a display assembly of an upper computer, and transmitting the grade information after grading judgment to a marking/reminding assembly.
As a modification, S1: when the ceramic tile is transported to the photoelectric triggering assembly, the photoelectric triggering assembly sends out a photoelectric triggering signal, and the camera acquisition system, the laser profile scanning assembly and the imaging unit are started to work.
As a modification, S1: the camera acquisition system comprises at least one group of shooting camera components and at least one group of light source components.
As an improvement, when the camera acquisition system is two groups of shooting camera assemblies, the shooting angles of the two groups of cameras are set to be 1-60 degrees.
As an improvement, in S1, the picture information extraction and the edge data extraction include plane and color difference defect data, concave and convex defect data, size, edge straightness and right angle
As a modification, in S2, the defect data includes concave-convex type defect data, size, edge straightness, right angle, straightness, and angle deformation data.
As an improvement, in S3, preprocessing the data obtained in S1 and S2, including elimination of abnormal data and edge clipping, 3D digitizing the defect models obtained in S1 and S2, and performing multi-dimensional complex comparison on the defects by combining the planar information and 3D point cloud information of the defects, thereby obtaining multi-dimensional fusion defect data; in S4, the grade information includes excellent, acceptable, defective, and rejected.
Has the advantages that: the detection method provided by the invention is to measure the ceramic tiles by combining a laser and camera composite measurement mode, complete ceramic tile defect detection can be realized by the whole equipment, the detection method is not limited to surface defect, edge breakage, corner breakage, flatness and dimension measurement, and the integrated detection effect is really realized, in addition, the equipment is compatible with the width range and the dimension, one-key shift and type change setting can be carried out in a host computer display assembly mode, so that more convenient and faster humanized operation is realized, in addition, the 3D data of laser measurement and the plane data of a camera can be subjected to fusion detection, on one hand, more dimensional solutions can be provided for different types of defects from a system framework, so that the stability of the system is enhanced, on the other hand, the data of laser measurement can also provide more dimensional defect information for fine defect classification, and more accurate qualitative and qualitative defect realization can be realized, Quantitative analysis provides more accurate process data acquisition and analysis for manufacturers.
Drawings
FIG. 1 is a schematic view of the structure of the apparatus of the present invention.
FIG. 2 is a schematic diagram of the method of the present invention.
In the figure: the system comprises a belt conveyor component 1, a metering wheel trigger component 2, a ceramic tile 3, a photoelectric trigger component 4, a laser contour scanning component 5, a light source group 6, a first camera group 7, a camera acquisition system 8, an image processing unit 9, an upper computer display component 10, a marking/reminding component 11 and a second camera group 12.
Detailed Description
The following examples are given to further illustrate the embodiments of the present invention. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Aiming at the technical problems that when the quality of the ceramic tile is detected conventionally, a plurality of stations are required to detect respectively, each work needs to be measured or scanned, the whole detection device is long in arrangement, and more mechanical and electrical components are shared among equipment, so that the overall cost of the equipment is increased, three pieces of equipment are controlled by using independent upper computer display components, and software and mechanical part adjustment needs to be carried out on 3 pieces of equipment respectively during model changing, the ceramic tile detection grading device is improved, a composite detection mode is selected, and a camera image collecting system and a laser profile scanning component are combined.
Examples
The ceramic tile 3 is transported through the belt conveyor assembly 1, and when the ceramic tile 3 runs to the photoelectric trigger assembly 4, the photoelectric trigger assembly 4 sends out a photoelectric trigger signal, and the laser contour scanning assembly 5 and the camera acquisition system 8 are triggered to start working respectively through the photoelectric trigger signal. The camera capturing system 8 includes at least one camera set, which may be two camera sets, a first camera set 7 and a second camera set 12, and a light source set 6, which may be at least one camera set.
The first camera set 7 and the second camera set 12 start shooting, the camera acquisition system 8 and the laser profile scanning assembly 5 start receiving pulse trigger signals of the metering wheel trigger assembly 2, the ceramic tile 3 to be detected is shot, the work is carried out through the limitation of the preset shooting line number or the scanning pulse number until the end signal of the photoelectric trigger assembly 4 is received, and the shooting is stopped. The image processing unit 9 respectively preprocesses the image information acquired from the plurality of sets of cameras and the three-dimensional point cloud data acquired from the line laser profile scanner, and is not limited to the elimination of abnormal data, edge clipping, and the like.
The system identification algorithm analyzes and processes shot pictures and point cloud data respectively in a data searching and comparing mode, performs data of a camera acquisition system and point cloud data of a line laser contour scanner system after completion, fuses multi-dimensional data of defects, performs cross analysis on the detected defects respectively through coordinate correction and mapping after hardware installation, performs multi-dimensional verification on all detected defects, and performs multi-dimensional information summarization on the confirmed defects.
Outputting the detection result to a defect classifier after the analysis is finished, classifying the defects according to the acquired multi-dimensional information, and outputting a summary detection result after the classification is finished: size detection conclusion, flatness detection result and defect detection result: xx defect, size xx, and other information are subjected to classification judgment for the upper computer display assembly 10, the upper computer display assembly classifies (excellent, qualified, defective, and the like) the tested ceramic tiles according to the detection result and the preset detection standard of the manufacturer, the result is displayed on a detection interface of the upper computer display assembly after judgment is finished, and in addition, the classified grade information is sent to the marking/reminding assembly 11, so that automatic ceramic tile surface quality classification is realized.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. Laser and compound detection mode's of camera ceramic tile defect detecting device, its characterized in that: the device comprises a belt conveyor component, a photoelectric trigger component, a metering wheel trigger component, a camera acquisition system, a laser profile scanning component, an image processing unit, an upper computer display component and a marking/reminding component; the belt conveyor component conveys the ceramic tiles to be detected to run; the photoelectric trigger assembly is used for sending a photoelectric trigger signal to the camera acquisition system and the laser profile scanning assembly when the ceramic tile runs to the position of the photoelectric trigger assembly, and is used for starting or ending work; the metering wheel trigger assembly is used for sending a shooting pulse trigger signal of the camera acquisition system and sending a scanning pulse trigger signal of the laser profile scanning assembly; the camera acquisition system is used for acquiring the image of the ceramic tile and transmitting the image to the image processing unit; the laser contour scanning assembly is used for collecting three-dimensional point cloud data of the ceramic tile and transmitting the three-dimensional point cloud data to the image processing unit; and the image processing unit is used for processing the transmitted data and transmitting the processed data to the upper computer display component and the marking/reminding component.
2. The apparatus for detecting defects of ceramic tiles by a laser and camera combined detection method according to claim 1, wherein: the upper computer display assembly is used for storing grade grading information of the ceramic tiles and displaying defect information of the ceramic tiles, and the marking/reminding assembly is used for sending reminding signals of the grade grading information.
3. The apparatus for detecting defects of ceramic tiles by a laser and camera combined detection method according to claim 1, wherein: the camera acquisition system comprises at least one group of shooting cameras and at least one group of light source components, and the laser contour scanning component is a linear array laser contour scanner and comprises a contour scanning system consisting of single-point or multi-point laser ranging modules.
4. The ceramic tile defect detection and classification method adopting the laser and camera composite detection mode is characterized in that: the device according to claim 1 or 2, wherein the detection comprises the following steps of S1: photographing a ceramic tile to be detected through a camera acquisition system to obtain a picture, and extracting picture information and edge data of the picture; s2: acquiring three-dimensional point cloud data of a to-be-detected ceramic tile through a laser contour scanning assembly and an imaging unit, extracting edge contour data, and performing inversion on a ceramic tile three-dimensional model to obtain three-dimensional stereo data and defect data; s3: preprocessing the data obtained from S1 and S2, and performing data fusion and cross analysis in a data comparison mode to obtain multi-dimensional fusion defect data; s4: and classifying the data obtained in the step S3 through a defect classifier and judging the defects in a grading way, displaying and storing the result information in a display assembly of an upper computer, and transmitting the grade information after grading judgment to a marking/reminding assembly.
5. The method for detecting and grading the defects of the ceramic tiles by the laser and camera combined detection mode according to claim 3, wherein the method comprises the following steps: s1: when the ceramic tile is transported to the photoelectric triggering assembly, the photoelectric triggering assembly sends out a photoelectric triggering signal, and the camera acquisition system, the laser profile scanning assembly and the imaging unit are started to work.
6. The method for detecting and grading the defects of the ceramic tiles by the laser and camera combined detection mode according to claim 3, wherein the method comprises the following steps: s1: the camera acquisition system comprises at least one group of shooting camera components and at least one group of light source components.
7. The method for detecting and grading the defects of the ceramic tiles by the laser and camera combined detection mode according to claim 6, wherein the method comprises the following steps: when the camera acquisition system is two groups of shooting camera assemblies, the shooting angles of the two groups of cameras are set to be 1-60 degrees.
8. The method for detecting and grading the defects of the ceramic tiles by the laser and camera combined detection mode according to claim 3, wherein the method comprises the following steps: in S1, the image information extraction and the edge data extraction include plane and color difference defect data, concave and convex defect data, size, edge straightness, and right angle.
9. The method for detecting and grading the defects of the ceramic tiles by the laser and camera combined detection mode according to claim 3, wherein the method comprises the following steps: in S2, the defect data includes concave-convex defect data, size, edge straightness, right angle, straightness, and angle deformation data.
10. The method for detecting and grading the defects of the ceramic tiles by the laser and camera combined detection mode according to claim 3, wherein the method comprises the following steps: in S3, preprocessing comprises abnormal data elimination and edge clipping, 3D digitization is carried out on the defect models obtained in S1 and S2, and multidimensional composite comparison is carried out on the defects by combining the plane information and 3D point cloud information of the defects, so that more accurate defect detection results are obtained; the grade information in S4 includes excellent, qualified, bad and waste.
CN202111611974.XA 2021-10-18 2021-12-27 Tile defect detection device adopting laser and camera composite detection mode and classification method Pending CN114280073A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202111611974.XA CN114280073A (en) 2021-12-27 2021-12-27 Tile defect detection device adopting laser and camera composite detection mode and classification method
CN202211237871.6A CN115508381A (en) 2021-10-18 2022-10-11 Tile defect detection device adopting laser and camera composite detection mode and classification method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111611974.XA CN114280073A (en) 2021-12-27 2021-12-27 Tile defect detection device adopting laser and camera composite detection mode and classification method

Publications (1)

Publication Number Publication Date
CN114280073A true CN114280073A (en) 2022-04-05

Family

ID=80875928

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111611974.XA Pending CN114280073A (en) 2021-10-18 2021-12-27 Tile defect detection device adopting laser and camera composite detection mode and classification method

Country Status (1)

Country Link
CN (1) CN114280073A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115931871A (en) * 2022-12-01 2023-04-07 华中科技大学 Device and method for detecting outer contour defects of permanent magnet motor rotor
CN116342539A (en) * 2023-03-22 2023-06-27 深圳市康士达科技有限公司 Quick construction method, device and medium for machine vision environment

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008275415A (en) * 2007-04-27 2008-11-13 Toppan Printing Co Ltd Apparatus and method for inspecting surface of metal substrate
CN103543161A (en) * 2013-10-16 2014-01-29 湖南镭目科技有限公司 On-line detection method of continuous casting billet surface quality
CN108993929A (en) * 2018-08-01 2018-12-14 穆科明 A kind of dual-machine linkage industrial machine vision automatic checkout system
US20190346566A1 (en) * 2018-05-11 2019-11-14 Chih-Chieh Lin Surface detection method
CN113640310A (en) * 2021-10-18 2021-11-12 南京光衡科技有限公司 Tile surface defect detection visual system and detection method
CN113720398A (en) * 2021-11-01 2021-11-30 南京光衡科技有限公司 Full-automatic tile multi-dimensional defect online measurement method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008275415A (en) * 2007-04-27 2008-11-13 Toppan Printing Co Ltd Apparatus and method for inspecting surface of metal substrate
CN103543161A (en) * 2013-10-16 2014-01-29 湖南镭目科技有限公司 On-line detection method of continuous casting billet surface quality
US20190346566A1 (en) * 2018-05-11 2019-11-14 Chih-Chieh Lin Surface detection method
CN108993929A (en) * 2018-08-01 2018-12-14 穆科明 A kind of dual-machine linkage industrial machine vision automatic checkout system
CN113640310A (en) * 2021-10-18 2021-11-12 南京光衡科技有限公司 Tile surface defect detection visual system and detection method
CN113720398A (en) * 2021-11-01 2021-11-30 南京光衡科技有限公司 Full-automatic tile multi-dimensional defect online measurement method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115931871A (en) * 2022-12-01 2023-04-07 华中科技大学 Device and method for detecting outer contour defects of permanent magnet motor rotor
CN116342539A (en) * 2023-03-22 2023-06-27 深圳市康士达科技有限公司 Quick construction method, device and medium for machine vision environment
CN116342539B (en) * 2023-03-22 2023-12-12 深圳市康士达科技有限公司 Quick construction method, device and medium for machine vision environment

Similar Documents

Publication Publication Date Title
CN114280073A (en) Tile defect detection device adopting laser and camera composite detection mode and classification method
JP3041090B2 (en) Appearance inspection device
KR20170069178A (en) Multiple optics vision inspection system
CN109900711A (en) Workpiece, defect detection method based on machine vision
CN207185897U (en) A kind of full cigarette presentation quality on-line measuring device and its cigarette machine
CN105021628A (en) Detection method for surface defects of optical fiber image inverter
CN110853018B (en) Computer vision-based vibration table fatigue crack online detection system and detection method
CN112233994B (en) Chip gold wire detection method
CN108469437B (en) Method and device for detecting defects of float glass
CN105478363A (en) Defective product detection and classification method and system based on three-dimensional figures
CN104677782A (en) Machine vision online detection system and method for electric connector shell
CN113640310A (en) Tile surface defect detection visual system and detection method
CN110208269A (en) The method and system that a kind of glass surface foreign matter and internal foreign matter are distinguished
CN111551559A (en) LCD (liquid Crystal display) liquid crystal screen defect detection method based on multi-view vision system
KR101643713B1 (en) Method for inspecting of product using learning type smart camera
US8094922B2 (en) Crack measuring method and apparatus
CN114529510B (en) Automatic detection and classification method for cathode copper on-line quality
CN114002234A (en) Simple ceramic tile surface defect detection device and method
CN108827976A (en) A kind of amenities stain vision detection system
CN105844282A (en) Method for detecting defects of fuel injection nozzle O-Ring through line scanning camera
CN113720398A (en) Full-automatic tile multi-dimensional defect online measurement method
CN113916127A (en) Visual inspection system and method for appearance of valve guide pipe finished product
CN109622404B (en) Automatic sorting system and method for micro-workpieces based on machine vision
CN115508381A (en) Tile defect detection device adopting laser and camera composite detection mode and classification method
CN116485795A (en) Coil coating production line flaw detection method and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20220405

WD01 Invention patent application deemed withdrawn after publication