CN114252448A - Method for performing glove examination - Google Patents
Method for performing glove examination Download PDFInfo
- Publication number
- CN114252448A CN114252448A CN202110793118.4A CN202110793118A CN114252448A CN 114252448 A CN114252448 A CN 114252448A CN 202110793118 A CN202110793118 A CN 202110793118A CN 114252448 A CN114252448 A CN 114252448A
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- CN
- China
- Prior art keywords
- glove
- color
- detecting
- image processing
- template
- Prior art date
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- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 43
- 230000007547 defect Effects 0.000 claims abstract description 16
- 238000003384 imaging method Methods 0.000 claims abstract description 10
- 238000007689 inspection Methods 0.000 claims description 24
- 229920001971 elastomer Polymers 0.000 claims description 12
- 230000002950 deficient Effects 0.000 claims description 5
- 210000003811 finger Anatomy 0.000 claims description 4
- 239000004816 latex Substances 0.000 claims description 3
- 229920000126 latex Polymers 0.000 claims description 3
- 150000002825 nitriles Chemical class 0.000 claims description 3
- 238000007598 dipping method Methods 0.000 claims description 2
- 239000010802 sludge Substances 0.000 claims description 2
- 210000003813 thumb Anatomy 0.000 claims description 2
- 238000002360 preparation method Methods 0.000 claims 1
- 238000004519 manufacturing process Methods 0.000 description 7
- 210000000707 wrist Anatomy 0.000 description 6
- 238000001514 detection method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000004033 plastic Substances 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 239000000919 ceramic Substances 0.000 description 2
- 239000003086 colorant Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 210000000078 claw Anatomy 0.000 description 1
- 210000004247 hand Anatomy 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
- 238000006748 scratching Methods 0.000 description 1
- 230000002393 scratching effect Effects 0.000 description 1
- 238000001429 visible spectrum Methods 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- 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
- G01N21/8851—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
- G01N2021/8887—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 based on image processing techniques
Abstract
The invention relates to a method (1) for performing an examination of a glove, comprising the following steps: (i) defining, by a computing device, at least one region of interest (ROI) for at least one imaging unit (101); then (ii) if at least one glove (201) is within the region of interest, examining and capturing a plurality of images (103) of the glove (201) by the imaging unit; (iii) detecting and acquiring, via an image processing device, at least one background color (205) (105) of the glove (201); and (iv) detecting and acquiring the glove color (207) via the image processing device (107); and finally (v) detecting and acquiring, via the image processing means, at least one template color (211) (109); wherein the method is capable of automatically detecting the presence of a defect of the glove (201) by evaluating a color contrast value between the glove (201) and the template (203).
Description
Technical Field
The present invention relates to a method for performing an examination of a glove, the method comprising the steps of: (i) defining, by a computing device, at least one region of interest (ROI) for at least one imaging unit; then (ii) if at least one glove is within the region of interest, examining and capturing a plurality of images of the glove by the imaging unit; (iii) detecting and acquiring, via an image processing device, at least one background color of the glove; and (iv) detecting and acquiring, via the image processing device, a color of the glove; and finally (v) detecting and acquiring, via the image processing device, at least one template color; wherein the method is capable of automatically detecting that the glove is defective by evaluating a color contrast value between the glove and the template.
Background
It is well known that in the medical and biotechnological industry, where very strict safety and high quality standards are required, there is a high demand for high quality rubber gloves. In the past, rubber glove inspections in mass production environments were performed manually by operators who, therefore, were required to inspect glove defects, such as leaks or tears, in a continuously fast moving production chain on a production line and manually remove defective gloves with hands. This method of heavily relying on manual inspection and removal of defective gloves results in very low yields due to inevitable human error in the inspection process. Furthermore, the inspection method does not contribute to improving the product quality, but rather generates a high degree of waste, which in turn leads to additional production costs.
CN205643183U of Liwenwen et al discloses plastic glove packing detection field, concretely relates to novel plastic glove visual inspection equipment. The wrist is provided with a gas one-way valve, the described gas one-way valve is installed in the wrist, the glove is inflated through the one-way valve, the detection of the surface defects of the glove is facilitated, a stripper claw withdrawing groove is formed in the wrist, seamless butt joint with a stripper on the existing production line is achieved, the wrist is installed on the right side of a transmission chain, the left wheel of the transmission chain is installed on a guide rail to keep overall balance, bearings are installed on the wrist and a hinge portion, the wrist can rotate at a detection area, the acquisition of 360-degree images is achieved by installing a camera right above the glove area, and the detection of the defects of glove scratching, incomplete parts, excess materials, foreign matters and the like is achieved through a subsequent image processing system. However, CN205643183U is an inspection process by means of gas inspection, and the present invention has a different approach compared to CN205643183U, wherein the present invention is an automated glove inspection system that detects the presence of defects in the glove by evaluating the color contrast value between the glove and the template. In addition, the present invention relates to the field of rubber, latex or nitrile gloves, while CN205643183U is specifically designated for use in new plastic gloves.
Therefore, it would be advantageous to mitigate the disadvantages by having a method for automatically performing glove inspection to detect the presence of defects in the glove, as the method can increase throughput and minimize inevitable human error.
Disclosure of Invention
It is therefore a primary object of the present invention to provide a method for performing rubber glove inspections, wherein the method aims to provide an inspection process with high accuracy and high throughput.
It is a further object of the present invention to provide a method for performing rubber glove inspections, wherein the method is capable of providing an automated inspection process.
It is a further object of the present invention to provide a method for performing rubber glove inspection, wherein the method is capable of detecting the presence of rubber glove defects, such as leaks or tears, in high temperature and harsh environments.
It is a further object of the present invention to provide a method for performing rubber glove inspections, wherein the method is capable of improving throughput.
It is a further object of the present invention to provide an apparatus for performing rubber glove inspection, wherein the method is capable of detecting the presence of rubber glove defects via color-based inspection.
Other further objects of the invention will become apparent from an understanding of the following detailed description of the invention or from practice of the invention.
According to a preferred embodiment of the present invention, the following is provided:
a method for performing an inspection of a glove, the method comprising the steps of:
(i) defining, by a computing device, at least one region of interest (ROI) for at least one imaging unit;
(ii) examining and capturing a plurality of images of the glove by the imaging unit if at least one glove is within a region of interest;
(iii) detecting and acquiring, via an image processing device, at least one background color of the glove;
(iv) detecting and acquiring, via the image processing device, a color of the glove; and (v) detecting and acquiring, via the image processing device, at least one template color;
characterized in that said method is capable of automatically detecting the presence of a defect in said glove by evaluating the value of the contrast in colour between said glove and said template.
Drawings
Other aspects and advantages of the invention will become apparent upon consideration of the following detailed description taken in conjunction with the accompanying drawings in which:
fig. 1 shows an exemplary method flow of the present invention.
Fig. 2 shows an exemplary diagram of the present invention in defining a region of interest (ROI).
Fig. 3 shows an exemplary diagram of the present invention in detecting and acquiring a background color.
FIG. 4 shows an exemplary view of the present invention in detecting and acquiring glove color.
FIG. 5 illustrates an exemplary diagram of the present invention in detecting and retrieving template colors.
Detailed Description
In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the invention. However, it will be understood by those of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures and/or components have not been described in detail so as not to obscure the present invention.
The invention will be more clearly understood from the following description of embodiments thereof, which is given by way of example only with reference to the accompanying drawings (not to scale).
As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" include plural referents unless the context clearly dictates otherwise.
Throughout the disclosure and claims section of this application, the word "comprise" and variations thereof, such as "comprises" and "comprising," means "including but not limited to," and is not intended to exclude, for example, other components, integers or steps. "exemplary" means "exemplary" and is not intended to convey an indication of a preferred or ideal embodiment, "e.g.," is not used in a limiting sense, but is used for purposes of explanation.
Referring to FIG. 1, there is shown an exemplary method (1) flow for performing glove inspection, the method being implemented in a glove inspection system for high volume production. The method (1) is performed by defining at least one region of interest (ROI) (101) for at least one imaging unit by a computing device, as shown in fig. 2. The ROI is a defined region within the camera field of view determined by the computing device. If at least one glove (201) is within a region of interest, the imaging unit will examine and capture a plurality of images (103) of the glove (201), wherein the plurality of images includes a palm view, a thumb view, a back view, a finger view, and a fingertip view of the glove (201).
In a next stage, the image processing device will detect and acquire at least one background color (205) (105) of the glove (201), wherein the background color (205) is white, as shown in fig. 3, and subsequently the image processing device will detect and acquire a color (207) (107) of the glove, wherein the color (207) of the glove is white, as shown in fig. 4. Heterochromatic objects such as black (209), found within the color (207) of the glove, are created by stains, soils, foreign bodies or sludge soils adhering to the glove (201). Finally, at least one template color (211) is detected and acquired (109) via the image processing device, wherein the template color (211) is white, as is seen in fig. 5. At this stage, if the template color is detected by the image processing device (211), it indicates a tear or hole in the glove, which is produced by template impact, glove tearing, insufficient finger dipping, etc.
Typically, if the color contrast value is in the range of 0 to 255 (for each color component), this means that no defects are detected on the glove (201). Nevertheless, if the color contrast value is greater than 40 grey scale values, the glove (201) is defined as defective. As shown in fig. 5, in case of a defect, such as a tear or a hole, on the glove (201), a template color (211) will be detected, wherein a white area will be detected by the image processing device and result in a color contrast. In case the defect is not present, the template color will not be detected (211) and thus no color contrast will occur. White light is used in the examination of the glove, which is a complete mixture of all wavelengths of the visible spectrum. This is to be able to reflect all color bands, since the glove (201) has different colors. Based on the color reflection of the glove (201), the image processing device (105) will detect desired color regions and defect color regions via the glove inspection, wherein the desired color regions include, but are not limited to, background color (205), glove color (207), and template color (211). In particular, the method is able to automatically detect the presence of defects of the glove (201) by evaluating the color contrast value between the glove (201) and the template (203). With respect to the material of the glove (201) and template (203), the present invention emphasizes rubber, latex or nitrile gloves (201) and the production line uses a ceramic impregnated template (203) or a ceramic hand mold.
Claims (7)
1. A method (1) for performing an examination of a glove, the method comprising the steps of:
(i) defining, by a computing device, at least one region of interest (101) for at least one imaging unit;
(ii) -examining and capturing a plurality of images (103) of the glove (201) by the imaging unit if at least one glove (201) is within the region of interest;
(iii) detecting and acquiring, via an image processing device, at least one background color (205) (105) of the glove (201);
(iv) detecting and acquiring, via the image processing device, a color (207) of the glove (107); and
(v) detecting and acquiring, via the image processing device, at least one template color (211) (109);
it is characterized in that the preparation method is characterized in that,
the method is capable of automatically detecting the presence of a defect of the glove (201) by evaluating a color contrast value between the glove (201) and the template (203).
2. Method (1) for performing a glove inspection according to claim 1, wherein the glove (201) is defined as being defect free if the color contrast value is in the range of 0 to 40 grey values.
3. Method (1) for performing a glove inspection according to claim 1, wherein the glove (201) is defined as defective if the color contrast value is greater than 40 grey values.
4. Method (1) for performing a glove inspection according to any of the preceding claims, wherein the color contrast value is produced by stains, dirt, foreign bodies or sludge dirt adhering to the glove (201).
5. Method (1) for performing a glove inspection according to any of the preceding claims, wherein the color contrast value is further generated by template impacts, glove tears, insufficient finger dipping, etc.
6. The method (1) for performing a glove examination according to claim 1, wherein the plurality of images comprises a palm view, a thumb view, a back view, a finger view and a fingertip view of the glove (201).
7. Method (1) for performing glove examination according to claim 1, wherein the glove (201) is made of rubber, latex, nitrile or the like.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
MYPI2020004880 | 2020-09-21 | ||
MYPI2020004880 | 2020-09-21 |
Publications (1)
Publication Number | Publication Date |
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CN114252448A true CN114252448A (en) | 2022-03-29 |
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CN202110793118.4A Pending CN114252448A (en) | 2020-09-21 | 2021-07-14 | Method for performing glove examination |
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Citations (7)
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---|---|---|---|---|
JP2002005846A (en) * | 2000-06-20 | 2002-01-09 | Tokimec Inc | Defect inspecting apparatus |
CN1728160A (en) * | 2004-07-26 | 2006-02-01 | 大日本网目版制造株式会社 | Technique for detecting a defect of an object by area segmentation of a color image of the object |
JP2007078663A (en) * | 2005-09-16 | 2007-03-29 | Matsushita Electric Ind Co Ltd | Method and device for inspecting defect |
US20100141754A1 (en) * | 2007-04-20 | 2010-06-10 | Noriyuki Hiraoka | Lumber inspection method, device and program |
CN106934794A (en) * | 2015-12-01 | 2017-07-07 | 株式会社理光 | Information processor, information processing method and inspection system |
CN107153067A (en) * | 2017-05-30 | 2017-09-12 | 镇江苏仪德科技有限公司 | A kind of surface defects of parts detection method based on MATLAB |
CN110314861A (en) * | 2019-08-02 | 2019-10-11 | 杭州升恒科技有限公司 | A kind of gloves rejection device and its inspection rejects technique and flaw recognition methods |
-
2021
- 2021-07-14 CN CN202110793118.4A patent/CN114252448A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002005846A (en) * | 2000-06-20 | 2002-01-09 | Tokimec Inc | Defect inspecting apparatus |
CN1728160A (en) * | 2004-07-26 | 2006-02-01 | 大日本网目版制造株式会社 | Technique for detecting a defect of an object by area segmentation of a color image of the object |
JP2007078663A (en) * | 2005-09-16 | 2007-03-29 | Matsushita Electric Ind Co Ltd | Method and device for inspecting defect |
US20100141754A1 (en) * | 2007-04-20 | 2010-06-10 | Noriyuki Hiraoka | Lumber inspection method, device and program |
CN106934794A (en) * | 2015-12-01 | 2017-07-07 | 株式会社理光 | Information processor, information processing method and inspection system |
CN107153067A (en) * | 2017-05-30 | 2017-09-12 | 镇江苏仪德科技有限公司 | A kind of surface defects of parts detection method based on MATLAB |
CN110314861A (en) * | 2019-08-02 | 2019-10-11 | 杭州升恒科技有限公司 | A kind of gloves rejection device and its inspection rejects technique and flaw recognition methods |
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