CN116532852A - Metal belt pinhole processing method, system and medium based on machine vision - Google Patents
Metal belt pinhole processing method, system and medium based on machine vision Download PDFInfo
- Publication number
- CN116532852A CN116532852A CN202310729675.9A CN202310729675A CN116532852A CN 116532852 A CN116532852 A CN 116532852A CN 202310729675 A CN202310729675 A CN 202310729675A CN 116532852 A CN116532852 A CN 116532852A
- Authority
- CN
- China
- Prior art keywords
- welding
- metal belt
- pinholes
- production line
- pinhole
- 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
Links
- 239000002184 metal Substances 0.000 title claims abstract description 207
- 238000003672 processing method Methods 0.000 title claims abstract description 23
- 238000003466 welding Methods 0.000 claims abstract description 181
- 238000004519 manufacturing process Methods 0.000 claims abstract description 109
- 238000000034 method Methods 0.000 claims abstract description 49
- 238000012545 processing Methods 0.000 claims abstract description 26
- 238000004590 computer program Methods 0.000 claims description 17
- 238000003860 storage Methods 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 11
- 238000006073 displacement reaction Methods 0.000 claims description 10
- 230000001678 irradiating effect Effects 0.000 claims description 2
- 238000011897 real-time detection Methods 0.000 abstract description 3
- 238000004891 communication Methods 0.000 description 18
- 238000010586 diagram Methods 0.000 description 13
- 230000008569 process Effects 0.000 description 11
- 230000009471 action Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000004804 winding Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 229910000679 solder Inorganic materials 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K37/00—Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K31/00—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups
- B23K31/02—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups relating to soldering or welding
-
- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
-
- 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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- 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
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
- G01N21/892—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles characterised by the flaw, defect or object feature examined
- G01N21/894—Pinholes
-
- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N2021/0106—General arrangement of respective parts
- G01N2021/0112—Apparatus in one mechanical, optical or electronic block
-
- 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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/8861—Determining coordinates of flaws
-
- 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
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8854—Grading and classifying of flaws
- G01N2021/8874—Taking dimensions of defect into account
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Pathology (AREA)
- Immunology (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- Mechanical Engineering (AREA)
- Optics & Photonics (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Textile Engineering (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The embodiment of the invention discloses a machine vision-based metal belt pinhole processing method, a machine vision-based metal belt pinhole processing system and a machine vision-based metal belt pinhole processing medium. The method comprises the following steps: acquiring images of the surface of a metal belt moving in a production line by a line scanning camera to obtain surface images; the surface opposite to the surface of the metal belt collected by the line scanning camera is irradiated by a light source; determining position information and size information of pinholes according to the surface image; and controlling the welding equipment to move according to the position information, controlling the production line to drive the metal belt to move so as to align the pinholes with the welding spots, and welding the pinholes through the welding equipment according to the size information. The method adopts a line scanning camera to detect pinholes on the surface of a metal belt in real time, obtains the position information and the size information of the pinholes, and welds the pinholes through welding equipment. The real-time detection and welding of the moving metal belt are realized, the condition that the metal belt is manually sampled and observed offline is avoided, the production efficiency of the metal belt is improved, and the quality of the metal belt is ensured.
Description
Technical Field
The invention relates to the technical field of machine vision, in particular to a metal belt pinhole processing method, a metal belt pinhole processing system and a metal belt pinhole processing medium based on machine vision.
Background
In the production line of the special metal belt, pinholes appear in the special metal belt due to the process or machine, the pinholes are very small, about 0.05mm, and the manual detection cannot be identified in the production process of the production line at the speed of 60 m/min. After the winding is completed, the pinhole can only be scrapped by the whole winding through manual light in a darkroom and off-line sampling observation. The losses caused by rejection are extremely high for the particular metal strip. If flowing to downstream customers, customer complaints and reimbursements may result.
Disclosure of Invention
The invention provides a machine vision-based metal belt pinhole processing method, a machine vision-based metal belt pinhole processing system and a machine vision-based metal belt pinhole processing medium, so as to realize welding of pinholes on a special metal belt.
According to an aspect of the present invention, there is provided a machine vision-based metallic tape pinhole processing method, the method comprising:
acquiring images of the surface of a metal belt moving in a production line through a line scanning camera to obtain surface images; the surface opposite to the surface of the metal belt collected by the line scanning camera is irradiated by a light source;
If the pinholes exist on the metal belt according to the surface image, determining the position information and the size information of the pinholes according to the surface image;
and controlling the welding equipment to move according to the position information, controlling the production line to drive the metal belt to move so as to align the pinholes with the welding spots, and welding the pinholes through the welding equipment according to the size information.
According to another aspect of the present invention, there is provided a machine vision-based metallic tape pinhole processing system, the system comprising:
an automatic traversing device on the production line is used for driving the welding equipment to move;
a line scan camera for image acquisition of the surface of a metal strip moving in a production line;
a light source for irradiating a surface opposite to a surface of the metal belt collected by the line scanning camera;
the welding equipment is used for welding pinholes on the metal belt;
the welding supporting plate is used for bearing the metal belt to assist the welding equipment to weld pinholes on the metal belt;
an electronic device, the device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor;
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the machine vision-based metallic tape pinhole processing method of any one of the embodiments of the present invention.
According to the technical scheme, the surface of the metal belt moving in the production line is subjected to image acquisition by a line scanning camera, so that a surface image is obtained; the surface opposite to the surface of the metal belt collected by the line scanning camera is irradiated by a light source, the surface image of the metal belt is detected by the line scanning camera, and the rapid detection of the metal belt moving on the line production line is realized by the high-speed line scanning camera. If the pinholes exist on the metal belt according to the surface image, determining the position information and the size information of the pinholes according to the surface image; the step realizes the determination of the pinhole position information and the size information, and improves the welding accuracy. According to the position information, the welding equipment is controlled to move, the production line is controlled to drive the metal belt to move so as to align the pinholes with welding spots, and the pinholes are welded through the welding equipment according to the size information. The method adopts a line scanning camera to detect pinholes on the surface of a metal belt in real time, obtains the position information and the size information of the pinholes, and welds the pinholes through welding equipment. The real-time detection and welding of the moving metal belt are realized, the condition that the metal belt is manually sampled and observed offline is avoided, the production efficiency of the metal belt is improved, and the quality of the metal belt is ensured.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a machine vision-based metal belt pinhole processing method according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of a detection direction of a line scanning camera according to a first embodiment of the present invention;
FIG. 3 is a flowchart of another machine vision-based metallic tape pinhole processing method according to a second embodiment of the present invention;
FIG. 4 is a schematic diagram of generating a welding spot according to a second embodiment of the present invention;
FIG. 5 is a block diagram of a machine vision-based metallic tape pinhole processing system according to a second embodiment of the present invention;
FIG. 6 is a flowchart of another machine vision-based metallic tape pinhole process according to a second embodiment of the present invention;
fig. 7 is a schematic structural diagram of a metal belt pinhole processing system based on machine vision according to a third embodiment of the present invention;
FIG. 8 is a schematic diagram of an installation structure of a machine vision-based metallic tape pinhole processing system according to a third embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to a machine vision-based metal strip pinhole processing method according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," "third," "fourth," "actual," "preset," and the like in the description and the claims of the present invention and in the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a metal strip pinhole processing method based on machine vision according to a first embodiment of the present invention, which is applicable to the case of welding special metal pinholes. Typically, it is applicable to the case of welding metal strips transported in real time. The method may be performed by a machine vision based metallic tape pinhole processing system, which may be implemented in hardware and/or software, which may include electronic devices with network communication functions, which may be PLC controllers, etc. As shown in fig. 1, the method includes:
s110, acquiring images of the surface of a metal belt moving in a production line through a line scanning camera to obtain surface images; the surface opposite to the surface of the metal strip collected by the line scan camera is illuminated by a light source.
The line scanning camera is a camera capable of realizing high-speed image information acquisition and can be composed of an image acquisition unit, an image processing unit, an image operation unit and an input/output module. The core of the line scanning camera is a photosensitive element, which is a photoelectric semiconductor device and consists of a plurality of photosensitive pixels arranged in a line, for example, a total of 8192 pixels can be provided, and each pixel is 7um×7um. The action of the photosensitive element is to start from the left to the right, i.e. from one edge of the metal strip and to move in a straight direction towards the other edge of the metal strip, to scan one pixel point per scanning cycle starting from the first pixel, while converting the intensity of the light into a set of digital values.
The light source may be a device capable of providing a high-brightness light source such as a high-brightness light. The light source is placed on the surface opposite to the surface of the metal strip. For example, the metal strip is placed horizontally, the light source illuminates the metal strip from below if the line scan camera images the metal strip from above, and the light source images the metal strip from above if the line scan camera images the metal strip from below.
The metal belt can be unfolded and placed on the driving shaft, and the driving shaft drives the metal belt to move on the production line. Wherein the drive shaft may be a device capable of driving the metal belt forward. The driving shaft can be controlled by a production line machine. The production line machine controls the production line to decelerate, stop and start.
The line scanning camera detects the metal belt through being matched with the light source, namely when the metal belt has pinholes, the light of the light source can be captured by the line scanning camera through the pinholes of the pinholes, so that the collection of the surface image of the metal belt is realized.
Optionally, the surface of the metal belt moving in the production line is subjected to image acquisition by a line scanning camera to obtain a surface image, and the method comprises the following steps of A1-A2:
and A1, scanning the metal belt along the width direction of the metal belt by the line scanning camera in each scanning period of the line scanning camera.
The width direction of the metal strip may be a direction perpendicular to the running direction thereof; the scanning period may be a time for scanning and outputting all pixel information in the width direction of the metal strip each time. Illustratively, the scan period may be 0.0000125s.
The line scan camera scans the metal strip passing through the line scan camera in the width direction of the metal strip in each scanning cycle.
Step A2, scanning the metal belt along the moving direction of the metal belt in a production line by using a line scanning camera in different scanning periods of the line scanning camera to obtain a surface image; the direction of movement of the metal strip in the production line is perpendicular to the width direction of the metal strip.
The different scan periods may be times at which the metal strip is scanned, and the metal strip may be a point along the width of the metal strip that constitutes the metal strip.
And scanning the metal belt by the line scanning camera along the movement direction of the production line in different scanning periods, and combining the obtained pixel point information in the width direction of the metal belt to obtain a surface image.
Fig. 2 is a schematic diagram illustrating a detection direction of a line scanning camera according to an embodiment of the invention. As shown in fig. 2, the metal strip is detected by a line scan camera, which generates a two-dimensional image from one-dimensional images of the interior of the line scan camera. The detected running direction of the metal strip is the machine direction, defined as MD (Machine Direction ); the width Direction of the detected metal strip is transverse, and is defined as CD (Cross Direction), and the two directions are perpendicular to each other. The line scanning camera scans the metal strip along the width direction of the metal strip from the left edge of the metal strip, and scans information of one pixel point in each scanning period until the scanning is stopped until the right edge of the metal strip. In the process of transporting the metal belt, the line scanning camera scans the metal belt along the moving direction of the metal belt, the transported metal belt is scanned in different scanning periods, and the obtained transverse and longitudinal pixel point information is combined to obtain a two-dimensional image of the metal belt.
And S120, if the pinholes exist on the metal belt according to the surface image, determining the position information and the size information of the pinholes according to the surface image.
Pinholes may be very small defects in the strip during the metal strip production process due to process or machine reasons, with a typical size of 0.05 mm.
The position information of the pinholes comprises the longitudinal position and the transverse position of the metal belt where the pinholes are located, wherein the longitudinal position can be the position where the pinholes are located along the running direction of the metal belt; the lateral position may be along the width of the metal strip where the pinholes are located. If the pinhole is circular, the size information may be a radius of the circle, and if the size information is rectangular, the size information may be information such as a length, a width, etc. of the pinhole. The size information may be determined according to the shape of the pinhole.
If a pinhole exists on the surface of the metal, the high-brightness light source can penetrate from the position of the pinhole and is captured by the line scanning camera, so that the position of the pinhole in the surface image is a highlight point, the position information of the pinhole is determined according to the position of the highlight point in the surface image, and the size of the pinhole is determined according to the size of the pixel point occupied by the highlight point in the surface image.
And S130, controlling the welding equipment to move and controlling the production line to drive the metal belt to move according to the position information so as to align the pinholes with the welding spots, and welding the pinholes through the welding equipment according to the size information.
The welding equipment can be composed of a built-in PLC, a servo motor and laser welding spots, and has the selection of various welding spot sizes.
According to the position information of the pinholes, the automatic traversing device drives the welding equipment to move towards the transverse position of the pinholes, the production line machine controls the production line to drive the metal belt to move towards the welding equipment, so that the welding spots are aligned with the pinholes, and the welding equipment is controlled to weld the pinholes according to the size information of the pinholes. By adopting the mode, the automatic traversing device is controlled to drive the welding equipment to move according to the position information of the pinholes and the production line machine is controlled to drive the metal belt to move, so that the quick alignment can be realized, the pinholes can be aligned with the welding equipment accurately, and the welding spots of the welding equipment can be used for welding the pinholes accurately.
Further, the machine vision-based metal belt pinhole processing method comprises the following steps of:
and A3, if the pinholes detected by the line scanning camera comprise at least two pinholes, placing the position information and the size information of the at least two pinholes into a queue to be welded.
When at least two pinholes are detected in the metal strip passing through the line scanning camera, the position information and the size information of the pinholes are put into a queue to be welded according to the detected time sequence.
And A4, acquiring the position information and the size information of the pinholes from the queue to be welded according to the sequence of the detection time from the early to the late, and welding the pinholes.
And according to the detected time of the pinholes, the pinholes are welded according to the position information and the size information in the queue to be welded from the early to the late.
Illustratively, the line scan camera detects 3 pinholes, respectively, as pinholes Q1, Q2, and Q3, in chronological order Q1, Q2, and Q3. Therefore, the position information and the size information of the pinholes are put into the queue to be welded according to the sequence, and the welding equipment welds the pinholes Q1 firstly and welds the pinholes Q3 finally according to the detected sequence.
By adopting the mode, the pinholes are welded according to the detected sequence, so that the pinholes can be welded according to the time sequence when a plurality of pinholes exist, and the condition that the pinholes are missed due to disordered welding process is avoided.
According to the technical scheme, the surface of the metal belt moving in the production line is subjected to image acquisition by a line scanning camera, so that a surface image is obtained; the surface opposite to the surface of the metal belt collected by the line scanning camera is irradiated by a light source, the surface image of the metal belt is detected by the line scanning camera, and the rapid detection of the metal belt moving on the line production line is realized by the high-speed line scanning camera. If the pinholes exist on the metal belt according to the surface image, determining the position information and the size information of the pinholes according to the surface image; the step realizes the determination of the pinhole position information and the size information, and improves the welding accuracy. According to the position information, the welding equipment is controlled to move, the production line is controlled to drive the metal belt to move so as to align the pinholes with welding spots, and the pinholes are welded through the welding equipment according to the size information. When a plurality of pinholes exist in the metal belt, the pinholes are welded according to the time sequence detected by the pinholes, and the step avoids the condition that the pinholes are missed due to disordered welding. The method adopts a line scanning camera to detect pinholes on the surface of a metal belt in real time, obtains the position information and the size information of the pinholes, and welds the pinholes through welding equipment. The real-time detection and welding of the moving metal belt are realized, the condition that the metal belt is manually sampled and observed offline is avoided, the production efficiency of the metal belt is improved, and the quality of the metal belt is ensured.
Example two
Fig. 3 is a flowchart of another machine vision-based metal strip pinhole processing method according to a second embodiment of the present invention, which is optimized based on the above-mentioned embodiment, and a solution not described in detail in the embodiment of the present invention is shown in the above-mentioned embodiment. As shown in fig. 3, the method in the embodiment of the present invention specifically includes the following steps:
s210, acquiring images of the surface of a metal belt moving in a production line through a line scanning camera to obtain surface images; the surface opposite to the surface of the metal strip collected by the line scan camera is illuminated by a light source.
And S220, if the existence of the pinholes on the metal belt is determined according to the surface image, determining the position information and the size information of the pinholes according to the surface image.
Further, the position information includes a first direction coordinate and a second direction coordinate; the first direction coordinates are coordinates relative to the edges of the metal strip in the width direction of the metal strip, and the second direction coordinates are coordinates relative to the edges of the metal strip in the direction of movement of the metal strip in the production line.
The first direction coordinates may be the positions of the pixels at the positions of the pinholes from the edges of the metal strip when the metal strip is scanned by the line scan camera. Illustratively, the first direction coordinate is the number of pixels from the left edge of the metal strip to the pinhole multiplied by the detection accuracy, e.g., 4000 pixels from the pinhole to the left edge of the metal strip, which is 0.05 mm/pixel, then the pinhole first direction coordinate is 200 mm.
Illustratively, the second direction coordinate is the number of pixels from the edge of the metal strip at the beginning of the transport position to the pinhole multiplied by the detection accuracy, e.g., 50000 pixels from the pinhole to the edge of the metal strip at the beginning of the transport position, and the detection accuracy is 0.05 mm/pixel, then the pinhole second direction coordinate is 2500 mm.
And S230, controlling the welding equipment to move and controlling the production line to drive the metal belt to move according to the position information so as to align the pinholes with the welding spots.
Further, according to the position information, controlling the movement of the welding equipment and controlling the production line to drive the metal belt to move so as to align the pinholes with the welding spots, comprising:
the welding equipment is controlled to move along the width direction of the metal belt according to the first direction coordinates so that the coordinates of welding spots of the welding equipment projected onto the production line are consistent with the first direction coordinates.
And controlling the production line to drive the metal belt to move according to the second direction coordinate so as to enable the coordinate of the welding spot projection of the welding equipment on the production line to be consistent with the second direction coordinate.
Illustratively, the welding apparatus is moved along the width of the metal strip according to the first directional coordinates of the pin holes, and the welding apparatus is stopped when moved to the first directional coordinates so that the coordinates of the welding points of the welding apparatus projected onto the production line coincide with the first directional coordinates. The welding equipment is controlled, and meanwhile, the production line is controlled to drive the metal belt to run according to the second direction coordinate, so that the coordinate projected onto the production line by the welding equipment coincides with the second direction coordinate.
Illustratively, the welding apparatus is moved along the width of the metal strip according to the first directional coordinates of the pin holes, and the welding apparatus is stopped when moved to the first directional coordinates so that the coordinates of the welding points of the welding apparatus projected onto the production line coincide with the first directional coordinates. After which the control line drives the metal strip to run according to the second direction coordinates so that the coordinates projected onto the production line by the welding device coincide with the second direction coordinates.
The welding device may also be controlled to drive the metal strip to move according to the second direction coordinate, so that the coordinate of the welding device projected onto the production line coincides with the second direction coordinate, and then the welding device is controlled to move along the width direction of the metal strip according to the first direction coordinate of the pinhole, and the welding device is stopped when the welding device moves to the first direction coordinate, so that the coordinate of the welding point of the welding device projected onto the production line coincides with the first direction coordinate.
Further, the control production line drives the metal belt to move according to the second direction coordinate, and the method comprises the following steps of:
and A5, calculating the displacement of the production line from the detection of the pinhole by the line scanning camera through an encoder.
An encoder may be used to record the angular change information of the rotation of the drive shaft by converting the angular change information into a movement displacement of the metal strip. The encoder may be attached to the drive shaft near the line scan camera. The encoder may be an incremental encoder with a step size of 0.01 mm/step.
When the line scanning camera detects a pinhole, the controller receives the pulse signal of the encoder in real time, and converts the pulse signal to obtain the real-time displacement of the metal belt movement. Wherein, the controller can be PLC.
By adopting the mode, the distance between the pinhole and the welding equipment can be monitored in real time, and the welding accuracy can be improved.
Step A6, determining a second distance between the pinhole and the welding equipment according to the first distance between the line scanning camera and the welding equipment and the displacement; the first distance and the second distance are distances along the length direction of the production line.
The first distance may be along the length of the production line between the line sweep camera and the welding apparatus, such as may be set to 5m; the displacement may be a real-time displacement of the pinhole movement after the pinhole is detected; the second distance is the distance of the pinhole from the welding device.
The second distance of the pinhole from the welding device is equal to the first distance of the line scan camera from the welding device minus the real-time displacement of the pinhole movement. Illustratively, the pinhole is displaced by 2m in real time at the current moment, and then the second distance at the current moment=5m—2m=3m.
And A7, controlling the production line to drive the metal belt to move according to the second distance.
And according to a second distance between the pin hole and the welding equipment, controlling the production line to drive the metal belt to move according to the second distance. For example, the speed of the production line is controlled according to the second distance, for example, the second distance is larger, the second distance is smaller, the metal belt is driven to move quickly, so that the pinholes are aligned with welding spots of the welding equipment as soon as possible, and the pinholes are prevented from missing from the welding spots due to the fact that the second distance is larger. In addition, according to the second distance and the moving speed of the production line, the alignment time required when the coordinates of the welding spot of the metal belt moving to the welding equipment projected onto the production line are consistent with the second direction coordinates can be calculated, so that the alignment time is met when the moving time of the production line is met, and the production line is controlled to stop moving in time.
Further, according to the second distance, the production line is controlled to drive the metal belt to move, which comprises the steps of A8-A9:
and step A8, if the second distance is larger than the preset distance, controlling the production line to drive the metal belt to move at the first speed.
The preset distance may be a preset distance indicating that the pinhole is rapidly moved to the welding device, for example, the preset distance may be 3m; the first speed is a speed for controlling the movement of the production line, for example, the first speed can be 60m/min.
The second distance at the current moment is larger than the preset distance, and the controller controls the production line to drive the metal belt to move forwards at the first speed. By way of example, assuming a second distance of 4m at the current time, the second distance 4m > a preset distance 3m, the controller controls the production line to move at a speed of 60m/min.
Step A9, if the second distance is smaller than or equal to the preset distance, controlling the production line to drive the metal belt to move at a second speed; wherein the first speed is greater than the second speed.
When the second distance at the current moment is smaller than or equal to the preset distance, the controller controls the production line to drive the metal belt to move at a second speed. For example, assuming that the second distance at the current time is 2m, the second distance 2m is equal to or less than the preset distance 3m, the controller controls the production line to move at the second speed.
By adopting the mode, the moving speed of the metal belt is controlled by detecting the distance from the metal belt to the welding equipment in real time, and the metal belt can be ensured to move at different speeds according to different distances, so that the metal belt can be rapidly moved to align a pinhole with a rapid welding spot of the welding equipment, and the situation that the pinhole and the welding spot are missed due to too high speed can be avoided. .
Further, the production line is controlled to drive the metal belt to move according to the second direction coordinate, and the method further comprises the steps of B1-B2:
and B1, if the second distance is smaller than or equal to the alignment distance, controlling the production line to stop moving.
The alignment distance may be a predetermined minimum distance between the pinhole and the welding device that can meet production requirements, e.g., the alignment distance may be 0.01 mm.
The controller receives the pulse data sent by the encoder in real time, calculates the real-time distance and the current transmission speed of the current distance between the pinhole and the welding equipment according to the pulse data, updates the speed and the distance every 5-10ms, can very efficiently acquire the speed and the distance when the speed changes, updates the speed reducing distance of the production line in advance, namely the second distance in real time, continuously compares the speed reducing distance with the current value, and has a calculation process of <1ms, when the second distance is smaller than or equal to the alignment distance, the parking position of the production line is accurately controlled, and if the welding equipment does not move to the position right above the welding point at this time, the automatic traversing device is still required to be controlled to move according to the position information of the pinhole until the projection of the welding point coincides with the pinhole.
And step B2, if a welding completion signal sent by the welding equipment is received, controlling the production line to start moving.
When welding is completed, the welding equipment sends a welding completion signal to the controller, and the controller controls the production line to move through the production line machine.
And S240, transmitting the size information to welding equipment so that the welding equipment can determine the size of the welding spot according to the size information, and the range of the welding spot is larger than or equal to the range of the pinhole.
The size of the welding spot is determined according to the size of the needle hole. Illustratively, the pinhole size is 0.05 millimeters and the size of the weld spot is greater than or equal to 0.05 millimeters.
The line scanning camera sends the calculated size information to the controller through a communication protocol, the controller sends the information to the welding equipment, and after the welding equipment receives the information, the size of the welding spot is calculated according to the size of the needle hole so as to ensure that the generated welding spot can completely cover the needle hole. The communication protocol may be a TCP/IP protocol.
Fig. 4 is a schematic diagram illustrating a solder joint generation according to a second embodiment of the present invention. As shown in fig. 4, after the line scanning camera detects the pinhole, the size information is sent to the welding device, and the welding device generates a welding spot with a range greater than or equal to the pinhole range according to the size information.
S250, controlling welding spots to weld the pinholes through welding equipment.
Fig. 5 is a block diagram of a machine vision-based metallic tape pinhole processing system according to a second embodiment of the present invention. As shown in fig. 5, the PLC control unit receives the length, width and position information of the pinhole sent by the line scanning camera, and receives the data of the encoder in real time, converts the data of the encoder into displacement information, calculates the real-time distance between the pinhole and the welding equipment and the current speed information through a high-speed calculation function, and controls the production line machine to finish the deceleration, stop and start of the production line according to the information. After receiving the pinhole position information and the size information sent by the line scanning camera, the PLC control unit transmits the position information to the automatic traversing device through a TCP/IP protocol, and the automatic traversing device moves the welding equipment to the pinhole position so that the welding point is aligned to the pinhole position; transmitting the position information to a production line machine through a TCP/IP protocol, wherein the production line machine controls the metal belt to move; and transmitting the size of the pinholes to welding equipment through TCP/IP, and determining that the welding spot size covers the pinholes by the welding equipment. And the PLC control unit receives a signal that the welding equipment finishes welding and sends a starting signal to the production machine to continue moving.
The instruction of the PLC control unit end comprises: x (0): receiving an encoder signal; x (3): receiving a welding equipment completion signal; y (0): transmitting a deceleration signal to a production line; y (1): sending a stop signal to the production line; y (4): sending a start signal to the production line. The PLC communication address is D10100: the width of the pinhole; d10101: the height of the pinholes; d10102: the transverse coordinates of the pinholes; d10103: longitudinal coordinates of the pinhole.
Connection relation between each module: the line scanning camera and the PLC control unit establish communication through a network cable, and the communication protocol is TCP/IP; the PLC control unit establishes communication with the automatic traversing device through a network cable, and the communication protocol is TCP/IP; the PLC control unit establishes communication with the welding equipment through a network cable, and the communication protocol is TCP/IP; the PLC control unit is connected with the encoder by a shielded hard wire, and transmits the shielded hard wire to the encoder as a pulse signal; the PLC control unit is connected with the production line machine by hard wires and is controlled by the switching value signal.
Fig. 6 is a flowchart illustrating another machine vision-based pinhole processing of a metal strip according to a second embodiment of the present invention. As shown in FIG. 6, the line scanning camera detects a pinhole, and through its high-speed operation unit, the position information and the size information of the pinhole are transmitted to a computer for display and storage, and meanwhile, the pinhole size information and the position information are transmitted to a PLC, which is used as a data center, and then the position information of the pinhole is transmitted to an automatic traversing device through TCP/IP, after the information is received, the welding device is moved to a designated position, the pinhole size information is transmitted to the welding device through TCP/IP, and the welding device can select welding spots with different sizes according to the pinhole size information, so that the whole pinhole can be covered. And the PLC calculates the second distance between the pinhole and the welding equipment, and when the distance is smaller than 3m, the PLC sends a deceleration signal to the production line machine for decelerating, the pinhole runs to the welding spot of the welding equipment at a low speed, and sends a stop signal to the production line machine for stopping, and then the welding equipment completes repair welding actions. And after the action is finished, a finishing signal is sent to the PLC, and then the production line machine is informed to continue to operate. If the former pinhole is in the decelerating process, the line scanning camera detects a pinhole again, the line scanning camera sends the pinhole position information and the pinhole size information to the PLC, the PLC records and places the pinhole size information and the pinhole size information in an unexecuted queue, if a plurality of pinholes exist, the pinholes are placed in the unexecuted queue of the PLC, and the PLC sequentially sends the position information to the automatic traversing device and the welding equipment according to the first-in first-out principle, so that the repair welding action of the pinholes is completed.
According to the embodiment of the invention, the accuracy of the welding equipment on pinhole welding is ensured by determining the distance information of the metal belt in real time.
Example III
Fig. 7 is a schematic structural diagram of a metal belt pinhole processing system based on machine vision according to a third embodiment of the present invention, where the metal belt pinhole processing system can execute the metal belt pinhole processing method based on machine vision according to any embodiment of the present invention, and the metal belt pinhole processing system has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 7, the system includes:
an automatic traversing device 410 on the production line is used for driving the welding equipment to move.
A line scan camera 420 for image acquisition of the surface of the metal strip moving in the production line.
A light source 430 for illuminating a surface opposite to the surface of the metal strip acquired by the line scan camera.
A welding device 440 for welding pinholes in the metal strip.
Welding pallet 450 for carrying a metal strip to assist the welding equipment in welding pinholes in the metal strip.
Electronic device 460, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the machine vision-based metallic tape pinhole processing method of any one of the embodiments of the present invention.
Fig. 8 is a schematic diagram illustrating an installation structure of a metal belt pinhole processing system based on machine vision according to a third embodiment of the present invention. As shown in fig. 8, a wire sweep camera 420 is mounted above the metal strip; the light source 430 is mounted on the surface opposite to the surface of the metal strip; the weld pallet 450 is under the metal strip; the automatic traversing device 410 on the production line is connected with the welding equipment 440 and is placed above the metal belt; the electronic device 460 is connected to the line camera 420 and the automatic traversing device 410 on the production line.
The metal belt pinhole processing system based on machine vision provided by the embodiment of the invention can execute the metal belt pinhole processing method based on machine vision provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 9 is a schematic structural diagram of an electronic device according to a machine vision-based metal strip pinhole processing method according to a fourth embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic devices may also represent various forms of mobile systems, such as personal digital processing, cellular telephones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing systems. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 9, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which a computer program executable by the at least one processor is stored, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a machine vision based metallic tape pinhole process.
In some embodiments, the machine vision based metallic tape pinhole processing method may be implemented as a computer program tangibly embodied on a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the machine vision based metallic tape pinhole processing method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the machine vision based metallic tape pinhole processing method in any other suitable manner (e.g., by means of firmware).
Various implementations of the methods and techniques described here above may be implemented in digital electronic circuitry, integrated circuit, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), on-chip method (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable method including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage method, at least one input system, and at least one output system.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable machine vision based metal tape pinhole processing system such that the computer programs, when executed by the processor, cause the functions/operations specified in the flowchart and/or block diagram to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution method, system, or apparatus. The computer readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor methods, systems, or apparatus, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the methods and techniques described herein may be implemented on an electronic device having: a display system (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing system (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of systems can also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A machine vision-based metallic tape pinhole processing method, the method comprising:
acquiring images of the surface of a metal belt moving in a production line through a line scanning camera to obtain surface images; the surface opposite to the surface of the metal belt collected by the line scanning camera is irradiated by a light source;
if the pinholes exist on the metal belt according to the surface image, determining the position information and the size information of the pinholes according to the surface image;
And controlling the welding equipment to move according to the position information, controlling the production line to drive the metal belt to move so as to align the pinholes with welding spots, and welding the pinholes through the welding equipment according to the size information.
2. The method of claim 1, wherein the image acquisition of the surface of the metal strip moving in the production line by the line scan camera to obtain the surface image comprises:
scanning the metal strip in the width direction of the metal strip by a line scanning camera in each scanning period of the line scanning camera;
scanning the metal belt along the moving direction of the metal belt in a production line by using a line scanning camera in different scanning periods of the line scanning camera to obtain the surface image; the direction of movement of the metal strip in the production line is perpendicular to the width direction of the metal strip.
3. The method of claim 1, wherein the location information comprises a first direction coordinate and a second direction coordinate; the first direction coordinates are coordinates relative to the edges of the metal strip along the width direction of the metal strip, and the second direction coordinates are coordinates relative to the edges of the metal strip along the direction of movement of the metal strip in the production line;
According to the position information, controlling the movement of the welding equipment and controlling the production line to drive the metal belt to move so as to align the pinholes with welding spots, comprising:
controlling the welding equipment to move along the width direction of the metal belt according to the first direction coordinate so as to enable the coordinate of the welding spot projected onto the production line of the welding equipment to be consistent with the first direction coordinate;
and controlling the production line to drive the metal belt to move according to the second direction coordinate so as to enable the coordinate of the welding spot projection of the welding equipment on the production line to be consistent with the second direction coordinate.
4. A method according to claim 3, wherein controlling the production line to move the metal strip according to the second direction coordinates comprises:
calculating, by an encoder, a displacement from the line scan camera detecting a pinhole to start the line movement;
determining a second distance between the pinhole and the welding equipment according to a first distance between the wire sweep camera and the welding equipment and the displacement; the first distance and the second distance are distances along the length direction of the production line;
and controlling the production line to drive the metal belt to move according to the second distance.
5. The method of claim 4, wherein controlling the production line to move the metal strip based on the second distance comprises:
if the second distance is larger than the preset distance, the production line is controlled to drive the metal belt to move at a first speed;
if the second distance is smaller than or equal to the preset distance, controlling the production line to drive the metal belt to move at a second speed; the first speed is greater than the second speed.
6. The method according to claim 4, wherein the method further comprises:
if the second distance is smaller than or equal to the alignment distance, controlling the production line to stop moving;
and if a welding completion signal sent by the welding equipment is received, controlling the production line to start moving.
7. The method of claim 1, wherein welding the pinhole by the welding device based on the dimensional information comprises:
transmitting the size information to the welding equipment so that the welding equipment can determine the size of a welding spot according to the size information, and the range of the welding spot is larger than or equal to the range of the pinhole;
And controlling welding spots to weld the pinholes through welding equipment.
8. The method according to claim 1, wherein the method further comprises:
if the pinholes detected by the line scanning camera comprise at least two pinholes, the position information and the size information of the at least two pinholes are put into a queue to be welded;
and acquiring the position information and the size information of the pinholes from the queue to be welded according to the sequence from the early to the late of the detection time, and welding the pinholes.
9. A machine vision-based metallic tape pinhole processing system, the system comprising:
the automatic transverse moving system on the production line is used for driving the welding equipment to move;
a line scan camera for image acquisition of the surface of a metal strip moving in a production line;
a light source for irradiating a surface opposite to a surface of the metal belt collected by the line scanning camera;
the welding equipment is used for welding pinholes on the metal belt;
the welding supporting plate is used for bearing the metal belt to assist welding equipment in welding pinholes on the metal belt;
an electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor;
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the machine vision based metallic tape pinhole processing method of any one of claims 1-8.
10. A computer readable storage medium storing computer instructions for causing a processor to perform the machine vision based metallic tape pinhole processing method of any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310729675.9A CN116532852A (en) | 2023-06-20 | 2023-06-20 | Metal belt pinhole processing method, system and medium based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310729675.9A CN116532852A (en) | 2023-06-20 | 2023-06-20 | Metal belt pinhole processing method, system and medium based on machine vision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116532852A true CN116532852A (en) | 2023-08-04 |
Family
ID=87443790
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310729675.9A Pending CN116532852A (en) | 2023-06-20 | 2023-06-20 | Metal belt pinhole processing method, system and medium based on machine vision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116532852A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116818785B (en) * | 2023-08-30 | 2023-12-01 | 杭州百子尖科技股份有限公司 | Defect detection method, system and medium based on machine vision |
-
2023
- 2023-06-20 CN CN202310729675.9A patent/CN116532852A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116818785B (en) * | 2023-08-30 | 2023-12-01 | 杭州百子尖科技股份有限公司 | Defect detection method, system and medium based on machine vision |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116532852A (en) | Metal belt pinhole processing method, system and medium based on machine vision | |
| EP3089110B1 (en) | Single-camera system for measuring vehicle distance and measurement method thereof | |
| CN1745959A (en) | Automatic weld seam position based on circular laser vision sense | |
| CN110501347A (en) | A kind of rapid automatized Systems for optical inspection and method | |
| CN109632007A (en) | A kind of edge point extracting method and gear high-precision vision measuring system | |
| CN113510412B (en) | Detection system, detection method and storage medium for identifying welding seam state | |
| CN113280209B (en) | System for detecting pipeline excess, use method of system and detection method | |
| CN112884848B (en) | Intelligent crown block control system, method and terminal based on binocular vision | |
| CN116818785B (en) | Defect detection method, system and medium based on machine vision | |
| CN116833639A (en) | Automatic welding system, control method, device, equipment and medium thereof | |
| CN116638521A (en) | Mechanical arm positioning and grabbing method, system, equipment and storage medium for target object | |
| CN110160455B (en) | Clearance surface difference detection system | |
| CN116208853A (en) | Focusing angle determining method, device, equipment and storage medium | |
| CN116908186A (en) | Product detection method, device, equipment and storage medium | |
| Will et al. | Features for image processing of OCT images for seam tracking applications in laser welding | |
| CN210089615U (en) | Detection apparatus for angle steel punches a hole based on 3D vision | |
| CN109900722B (en) | Method and system for acquiring glass cambered surface image and application | |
| CN106141382B (en) | Welding groove marginal position visual sensing detection method | |
| CN112001936A (en) | Processing method and device for visual positioning, electronic equipment and storage medium | |
| CN113989220A (en) | Method, device and equipment for calculating motion trail of product and storage medium | |
| Sansoni et al. | Combination of 2D and 3D vision systems into robotic cells for improved flexibility and performance | |
| WO2020042031A1 (en) | Seam inspection method of vision-based welding system, and system | |
| CN117314859A (en) | Target object grabbing angle determining method | |
| JP2625222B2 (en) | Coil position detection device | |
| CN113793293A (en) | Contour detection method, apparatus, system and computer readable storage medium |
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 |