CN110632086A - Injection molding surface defect detection method and system based on machine vision - Google Patents
Injection molding surface defect detection method and system based on machine vision Download PDFInfo
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- 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
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- 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
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- 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
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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- 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
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- 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
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Abstract
The invention provides a machine vision-based injection molding surface defect detection system which comprises a base, an injection molding fixing unit, a control unit, an illumination unit, a camera unit and an upper computer unit, wherein the injection molding fixing unit is arranged on the base and used for fixing an object to be detected, the control unit is used for controlling the system, the illumination unit is used for illuminating the object to be detected to obtain an industrial vision light source, the camera unit is used for collecting image information of the object to be detected and is vertical to the injection molding fixing unit, and the upper computer unit is used for collecting and recording all the units. According to the invention, by arranging the upper computer unit and the detection device, automatic detection of the product is realized, the detection accuracy can be effectively improved, meanwhile, workers can be well liberated, the production cost is reduced, and the product quality is improved.
Description
Technical Field
The invention relates to the technical field of injection molding part detection, in particular to a method and a system for detecting surface defects of an injection molding part based on machine vision.
Background
At present, more and more manufacturers want to improve the yield and the quality, generally, the common method for detecting the product state is to manually detect the bad states of scratches, foreign matters, colors and the like on the surface of a product by an experienced worker for the manufacturers for producing injection molding parts, but the current situation that the bad products flow out due to human eye fatigue or negligence and incapability of identifying nuances often occurs, so that a fair and accurate automatic machine vision detection system is urgently needed.
Disclosure of Invention
In light of the above-mentioned technical problems, a method and system for detecting surface defects of injection-molded parts based on machine vision are provided. The invention mainly utilizes a detection method of surface defects of injection molding parts based on machine vision, which comprises the following steps:
step S1: triggering the industrial camera to shoot by switching on and off the switch, and acquiring an analog signal image P of the injection molding part by the high-resolution high-speed camera and the industrial visual light source under the control of the upper computer.
Step S2: preprocessing the analog signal image, performing digital conversion on the analog signal image, and converting the analog signal image into a digital signal image P1; the digital signal image P1 is first sampled and the digital signal is quantized and encoded.
Step S3: and adjusting the contrast of the digital signal image P1, and performing Fourier transform filtering to remove noise interference to obtain a processed image P2.
Step S4: and performing binarization operation on the image P2 processed in the step S3, and performing morphological operation to obtain a morphological operation result.
Step S5: judging the morphological operation result; and comparing the morphological operation result with a preset standard value. When the morphological operation result is larger than or equal to a preset standard value, the positioning algorithm measures the position information, the operation is ended, and the position information of the injection molding piece is obtained; and when the morphological operation result is smaller than a preset standard value, performing sound-light alarm.
Preferably, the industrial camera comprises a plurality of CCD cameras or CMOS cameras.
Preferably, a machine vision-based injection molding surface defect detection system comprises a base, an injection molding fixing unit for fixing an object to be detected on the base, a control unit for controlling the system, an illumination unit for illuminating the object to be detected to obtain an industrial visual light source, a camera unit for collecting image information of the object to be detected, which is perpendicular to the injection molding fixing unit, an upper computer unit for collecting and recording the units, and an indication unit for indicating information.
Preferably, the lighting unit includes: the device comprises a horizontal light source for horizontally irradiating a piece to be measured, a 90-degree light source perpendicular to the piece to be measured and a 180-degree light source for circularly irradiating the piece to be measured.
Preferably, the injection molding part fixing unit is further provided with an XY pneumatic slide, an X-direction slide and a Y-direction slide which move transversely; the control unit controls the XY pneumatic slide to move along the X-direction slide way/the Y-direction slide way along the X/Y direction and communicates with the upper computer unit, receives commands of inputting starting and stopping and the like, and finishes outputting alarm and displaying.
Preferably, the upper computer unit is a desktop computer or a notebook computer.
Compared with the prior art, the invention has the following advantages:
according to the invention, by arranging the upper computer unit and the detection device, automatic detection of the product is realized, the detection accuracy can be effectively improved, meanwhile, workers can be well liberated, the production cost is reduced, and the product quality is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic view of the overall process of the present invention.
FIG. 2 is a schematic diagram of the overall structure of the system of the present invention.
Fig. 3 is a schematic diagram of a circuit connection of a control unit according to an embodiment of the invention.
The system comprises a base 1, a fixing unit 2, a control unit 3, an illuminating unit 4, an image pickup unit 5, an upper computer unit 6, an indicating unit 7, an XY pneumatic slide 21, an X-direction slide 22, a Y-direction slide 23, a horizontal light source 41, a 90-degree light source 42 and a 180-degree light source 43.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or 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, system, 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.
As shown in FIG. 1, the invention relates to a method for detecting surface defects of an injection molding part based on machine vision, which comprises the following steps:
step S1: triggering the industrial camera to shoot by switching on and off the switch, and acquiring an analog signal image P of the injection molding part by the high-resolution high-speed camera and the industrial visual light source under the control of the upper computer.
Step S2: preprocessing the analog signal image, performing digital conversion on the analog signal image, and converting the analog signal image into a digital signal image P1; the digital signal image P1 is first sampled and the digital signal is quantized and encoded. In a preferred embodiment, it is understood that the image preprocessing described in the other embodiments may be performed by a binarization method, and that the image preprocessing described in the present embodiment may be performed by digitizing the image.
Step S3: and adjusting the contrast of the digital signal image P1, and performing Fourier transform filtering to remove noise interference to obtain a processed image P2. In the present embodiment, the image is processed using the LABVIEW software. In the present embodiment, the binarization method determines that all pixels with a gray level greater than or equal to a threshold belong to a specific object, and the gray level thereof is 255, otherwise these pixels are excluded from the object region, and the gray level is 0, thereby indicating the background or an exceptional object region.
In a preferred embodiment, the fourier transform in the present application:
where f (t) is an input signal, ξ represents the frequency of each wave obtained by decomposition,
representing the transformed signal; e.g. of the type-i2πtξRepresenting a complex wave.
Step S4: performing binarization operation on the image P2 processed in the step S3 and performing morphological operation to obtain a morphological operation result;
step S5: judging the morphological operation result; and comparing the morphological operation result with a preset standard value. When the morphological operation result is larger than or equal to a preset standard value, the positioning algorithm measures the position information, the operation is ended, and the position information of the injection molding piece is obtained; and when the morphological operation result is smaller than a preset standard value, performing sound-light alarm.
In the present embodiment, the industrial camera includes a plurality of CCD cameras or CMOS cameras.
As shown in fig. 2, in the present embodiment, as a preferred embodiment, the system for detecting surface defects of injection-molded parts based on machine vision according to the present invention comprises a base 1, an injection-molded part fixing unit 2 disposed on the base 1 for fixing an object to be tested, a control unit 3 for controlling the system, an illumination unit 4 for illuminating the object to be tested to obtain the industrial visual light source, a camera unit 5 perpendicular to the injection-molded part fixing unit for acquiring image information of the object to be tested, an upper computer unit 6 for collecting and recording the above units, and an indication unit 7 for indicating information. In the embodiment, the injection molding part fixing unit 2 is provided with a mold according to the appearance of the product to be measured, so that the product to be measured is placed in the fixing mold in a well-matched manner.
As a preferred embodiment, the lighting unit 4 comprises: the device comprises a horizontal light source 41 for horizontally irradiating the piece to be measured, a 90-degree light source 42 perpendicular to the piece to be measured and a 180-degree light source 43 for circularly irradiating the piece to be measured.
In the embodiment, the injection molding part fixing unit is further provided with an XY pneumatic slide 21, an X-direction slide 22 and a Y-direction slide 23 which move transversely; the control unit controls the XY pneumatic sliding rail to move along the X-direction slideway 22/the Y-direction slideway 23 along the X/Y direction and communicates with the upper computer unit 6, receives instructions of inputting starting and stopping and the like, and finishes outputting alarm and displaying.
In the present embodiment, the upper computer unit 6 is preferably a desktop computer or a notebook computer.
Example (b):
as shown in fig. 3, which is a schematic circuit connection diagram of the system of the present invention, the control unit 3 uses an stc12c5a6052 single chip, and uses 5V for power supply and uses 232 bus for power supply.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (4)
1. A method for detecting surface defects of an injection molding part based on machine vision is characterized by comprising the following steps:
s1: triggering an industrial camera to take a picture by switching on and off a switch, and acquiring an analog signal image P of the injection molding part by a high-resolution high-speed camera and an industrial visual light source under the control of an upper computer;
s2: preprocessing the analog signal image, performing digital conversion on the analog signal image, and converting the analog signal image into a digital signal image P1; the digital signal image P1 is first sampled and the digital signal is quantized and encoded;
s3: adjusting the contrast of the digital signal image P1, and performing Fourier transform filtering to remove noise interference to obtain a processed image P2;
s4: performing binarization operation on the image P2 processed in the step S3 and performing morphological operation to obtain a morphological operation result;
s5: judging the morphological operation result; comparing the morphological operation result with a preset standard value;
when the morphological operation result is equal to a preset standard value, the positioning algorithm measures the position information to finish the operation and obtain the position information on the injection molding piece; and when the morphological operation result is larger than or smaller than a preset standard value, performing sound-light alarm.
2. The machine vision-based method for detecting surface defects of injection molded parts according to claim 1, further characterized by: the industrial camera includes: a CCD camera or a CMOS camera.
3. A system for detecting surface defects of injection-molded parts based on machine vision, applying the detection method according to claim 1 or 2, comprising a base (1), characterized in that:
the system comprises an injection molding part fixing unit (2) for fixing an object to be tested, a control unit (3) for controlling the system, a lighting unit (4) for lighting the object to be tested to obtain the industrial visual light source, a camera unit (5) which is used for collecting image information of the object to be tested and is vertical to the injection molding part fixing unit (2), an upper computer unit (6) for collecting and recording the units and an indicating unit (7) for indicating information;
the lighting unit (4) comprises: the device comprises a horizontal light source (41) for horizontally irradiating a piece to be measured, a 90-degree light source (42) perpendicular to the piece to be measured and a 180-degree light source (43) for circularly irradiating the piece to be measured;
the injection molding part fixing unit (2) is also provided with an XY pneumatic slide (21) which moves transversely, an X-direction slide way (22) and a Y-direction slide way (23); the control unit controls the XY pneumatic slide to move along the X-direction slide way (22)/the Y-direction slide way (23) along the X/Y direction and communicates with the upper computer unit, receives instructions of inputting starting and stopping and the like, and finishes outputting alarm and displaying.
4. The machine-vision-based system for detecting surface defects of injection molded parts of claim 3, further characterized by: the upper computer unit (6) is a desktop computer or a notebook computer.
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Application publication date: 20191231 |