CN112474877A - Detection method for stamping - Google Patents
Detection method for stamping Download PDFInfo
- Publication number
- CN112474877A CN112474877A CN202011230633.3A CN202011230633A CN112474877A CN 112474877 A CN112474877 A CN 112474877A CN 202011230633 A CN202011230633 A CN 202011230633A CN 112474877 A CN112474877 A CN 112474877A
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- China
- Prior art keywords
- image
- detection method
- stamping
- standard
- stamping part
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- 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.)
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Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21C—MANUFACTURE OF METAL SHEETS, WIRE, RODS, TUBES OR PROFILES, OTHERWISE THAN BY ROLLING; AUXILIARY OPERATIONS USED IN CONNECTION WITH METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL
- B21C51/00—Measuring, gauging, indicating, counting, or marking devices specially adapted for use in the production or manipulation of material in accordance with subclasses B21B - B21F
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention discloses a detection method for stamping, which comprises the following steps: s1: feeding: placing the stamping part on a transmission line, and transmitting the stamping part to a shooting station; s2: shooting an image: acquiring an image of the standard stamping part through a camera, and transmitting the acquired image to a graphic preprocessing device; s3: preprocessing of the image: denoising and enhancing the acquired image; s4: and (3) image segmentation: dividing the acquired image by adopting a wavelet transform adaptive threshold segmentation method, and extracting partial images which are easy to generate defects; s5: comparing the extracted image with a standard image to obtain a position and an image with defects; s6: and displaying the defective image. The invention has high detection efficiency and high detection precision.
Description
Technical Field
The invention relates to the technical field of stamping part detection, in particular to a detection method for stamping.
Background
The stamping process is a production technology for separating plates in a stamping die by means of the pressure of stamping equipment so as to obtain product parts with certain shapes and sizes, and has the characteristics of intelligence, precision, high efficiency, high speed and the like. However, in the stamping process, there are always waste products caused by objective factors such as processing errors, material defects, and mold damages, and if the waste products cannot be detected and removed in time, the subsequent links such as assembly will be seriously affected, which leads to the decrease of the overall quality level of the product, increase of the cost, and affect the production efficiency. Therefore, whether the online quality detection of the product can be realized on the full-automatic stamping production line is also important, and the online quality detection becomes an important index for judging the automation degree of the product.
However, at present, the defect detection of most domestic manufacturers on stamping products still stays at the stage of human-eye off-line detection, and the human-eye detection with low efficiency, poor stability and high cost seriously restricts the automation process of the stamping production line.
Disclosure of Invention
The invention aims to provide a detection method for stamping, which aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a detection method for stamping comprises the following steps:
s1: feeding: placing the stamping part on a transmission line, and transmitting the stamping part to a shooting station;
s2: shooting an image: acquiring an image of the standard stamping part through a camera, and transmitting the acquired image to a graphic preprocessing device;
s3: preprocessing of the image: denoising and enhancing the acquired image;
s4: and (3) image segmentation: dividing the acquired image by adopting a wavelet transform adaptive threshold segmentation method, and extracting partial images which are easy to generate defects;
s5: comparing the extracted image with a standard image to obtain a position and an image with defects;
s6: and displaying the defective image.
Preferably, a light supplement lamp is arranged on the shooting station in the step S1.
Preferably, the light filling lamps are at least 4, and a plurality of light filling lamps are uniformly distributed around the shooting station.
Preferably, the camera in step S2 is a CCD industrial camera.
Preferably, the preprocessing of the image in step S3 is to perform denoising and enhancement processing on the acquired image by using a wavelet filtering enhancement algorithm, so as to improve the image quality and eliminate the interference of environmental factors.
Preferably, if the extracted image is matched with the standard image and the punched product has no surface defect in the step S5, outputting an analog electrical signal to the PLC controller to control the image detection device to continue to acquire images at the capturing beat of the feeding mechanical arm at the next station; if the extracted image is not matched with the standard image and the punched product has surface defects, the punched product is placed in the unqualified product storage area through the manipulator while the image is displayed.
Compared with the prior art, the invention has the beneficial effects that: acquiring an image of the standard stamping part through a camera, and transmitting the acquired image to a graphic preprocessing device; denoising and enhancing the acquired image; dividing the acquired image by adopting a wavelet transform adaptive threshold segmentation method, and extracting partial images which are easy to generate defects; comparing the extracted image with a standard image to obtain a position and an image with defects; if the extracted image is matched with the standard image and the punched product has no surface defect, outputting an analog electric signal to the PLC, and controlling the image detection device to continuously acquire the image at the grabbing beat of the feeding mechanical arm at the next station; if the extracted image is not matched with the standard image and the punched product has surface defects, displaying the image and simultaneously placing the punched product in an unqualified product storage area through a manipulator; at least 4 light supplement lamps are arranged, and the plurality of light supplement lamps are uniformly distributed around the shooting station; the shooting effect can be improved; the detection efficiency is high, and the detection precision is high.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, in an embodiment of the present invention, a detection method for stamping includes the following steps:
s1: feeding: placing the stamping part on a transmission line, and transmitting the stamping part to a shooting station;
s2: shooting an image: acquiring an image of the standard stamping part through a camera, and transmitting the acquired image to a graphic preprocessing device;
s3: preprocessing of the image: denoising and enhancing the acquired image;
s4: and (3) image segmentation: dividing the acquired image by adopting a wavelet transform adaptive threshold segmentation method, and extracting partial images which are easy to generate defects;
s5: comparing the extracted image with a standard image to obtain a position and an image with defects;
s6: and displaying the defective image.
Preferably, a light supplement lamp is arranged on the shooting station in the step S1.
Preferably, the light filling lamps are at least 4, and a plurality of light filling lamps are uniformly distributed around the shooting station.
Preferably, the camera in step S2 is a CCD industrial camera.
Preferably, the preprocessing of the image in step S3 is to perform denoising and enhancement processing on the acquired image by using a wavelet filtering enhancement algorithm, so as to improve the image quality and eliminate the interference of environmental factors.
Preferably, if the extracted image is matched with the standard image and the punched product has no surface defect in the step S5, outputting an analog electrical signal to the PLC controller to control the image detection device to continue to acquire images at the capturing beat of the feeding mechanical arm at the next station; if the extracted image is not matched with the standard image and the punched product has surface defects, the punched product is placed in the unqualified product storage area through the manipulator while the image is displayed.
The working principle of the invention is as follows: placing the stamping part on a transmission line, and transmitting the stamping part to a shooting station; acquiring an image of the standard stamping part through a camera, and transmitting the acquired image to a graphic preprocessing device; denoising and enhancing the acquired image; dividing the acquired image by adopting a wavelet transform adaptive threshold segmentation method, and extracting partial images which are easy to generate defects; comparing the extracted image with a standard image to obtain a position and an image with defects; if the extracted image is matched with the standard image and the punched product has no surface defect, outputting an analog electric signal to the PLC, and controlling the image detection device to continuously acquire the image at the grabbing beat of the feeding mechanical arm at the next station; if the extracted image is not matched with the standard image and the punched product has surface defects, the punched product is placed in the unqualified product storage area through the manipulator while the image is displayed.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A detection method for stamping is characterized in that: the method comprises the following steps:
s1: feeding: placing the stamping part on a transmission line, and transmitting the stamping part to a shooting station;
s2: shooting an image: acquiring an image of the standard stamping part through a camera, and transmitting the acquired image to a graphic preprocessing device;
s3: preprocessing of the image: denoising and enhancing the acquired image;
s4: and (3) image segmentation: dividing the acquired image by adopting a wavelet transform adaptive threshold segmentation method, and extracting partial images which are easy to generate defects;
s5: comparing the extracted image with a standard image to obtain a position and an image with defects;
s6: and displaying the defective image.
2. The detection method for press working according to claim 1, wherein: and a light supplement lamp is arranged on the shooting station in the step S1.
3. The detection method for press working according to claim 2, characterized in that: the light filling lamp sets up 4 at least, and a plurality of light filling lamps evenly distributed is around shooing the station.
4. The detection method for press working according to claim 1, wherein: the camera in the step S2 adopts a CCD industrial camera.
5. The detection method for press working according to claim 1, wherein: the preprocessing of the image in the step S3 is to perform denoising and enhancement processing on the acquired image by using a wavelet filtering enhancement algorithm, so as to improve the image quality and eliminate the interference of environmental factors.
6. The detection method for press working according to claim 1, wherein: if the extracted image is matched with the standard image and the punched product has no surface defect in the step S5, outputting an analog electric signal to the PLC controller to control the image detection device to continuously acquire the image at the grabbing beat of the feeding mechanical arm at the next station; if the extracted image is not matched with the standard image and the punched product has surface defects, the punched product is placed in the unqualified product storage area through the manipulator while the image is displayed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011230633.3A CN112474877A (en) | 2020-11-06 | 2020-11-06 | Detection method for stamping |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011230633.3A CN112474877A (en) | 2020-11-06 | 2020-11-06 | Detection method for stamping |
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| CN112474877A true CN112474877A (en) | 2021-03-12 |
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| CN202011230633.3A Pending CN112474877A (en) | 2020-11-06 | 2020-11-06 | Detection method for stamping |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005121599A (en) * | 2003-10-20 | 2005-05-12 | Komatsu Ltd | Defect inspection device of press formed article |
| CN102621156A (en) * | 2012-03-07 | 2012-08-01 | 武汉理工大学 | Image-processing-based automatic micro part sorting system |
| CN204638779U (en) * | 2015-02-02 | 2015-09-16 | 广东工业大学 | Full-automatic stamping line products surface quality on-line detecting system |
| CN105478529A (en) * | 2015-02-02 | 2016-04-13 | 广东工业大学 | Product surface quality on-line detecting system and method for full-automatic stamping production line |
-
2020
- 2020-11-06 CN CN202011230633.3A patent/CN112474877A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005121599A (en) * | 2003-10-20 | 2005-05-12 | Komatsu Ltd | Defect inspection device of press formed article |
| CN102621156A (en) * | 2012-03-07 | 2012-08-01 | 武汉理工大学 | Image-processing-based automatic micro part sorting system |
| CN204638779U (en) * | 2015-02-02 | 2015-09-16 | 广东工业大学 | Full-automatic stamping line products surface quality on-line detecting system |
| CN105478529A (en) * | 2015-02-02 | 2016-04-13 | 广东工业大学 | Product surface quality on-line detecting system and method for full-automatic stamping production line |
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Application publication date: 20210312 |
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