CN114235830B - Intelligent long-code zipper detection machine and detection method thereof - Google Patents
Intelligent long-code zipper detection machine and detection method thereof Download PDFInfo
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- G—PHYSICS
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- 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
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Abstract
The invention discloses an intelligent long-code zipper detection machine and a detection method thereof, wherein the intelligent long-code zipper detection machine comprises a rack, a chain guide device is arranged on the rack, and the intelligent long-code zipper detection machine is characterized in that a detection bracket is further arranged on the rack, two detection covers are sequentially fixed on the detection bracket, the opening directions of the detection covers face to two sides of a zipper, a first camera, a first light source group, a second camera and a second light source group are respectively arranged on the two detection covers, a flaw punching assembly and a transmission chain outlet group are further arranged on a rear-end rack of the second light source group, a man-machine control assembly with a control panel is further arranged on the rack, an electric control assembly and a main unit are arranged at the lower end of the rack, and the electric control assembly, the main unit, the cameras and the light source groups are electrically connected. The invention has the advantages of comprehensive defect detection, high efficiency and high speed.
Description
Technical Field
The invention relates to the technical field of zippers, in particular to mechanical equipment for intelligently detecting a zipper through machine photographing.
Background
The zipper not only brings convenience to one of ten inventions of life of people recently, but also plays an irreplaceable role in daily life of people. Quality inspection is an indispensable operation in the zipper manufacturing process, and relates to the experience level of customers. If the zipper manufacturer can timely detect the defects of the zipper and take corresponding measures, the method not only brings higher benefit to enterprises, but also enables customers to use high-quality zippers.
The zipper detection links mainly adopt manual visual inspection and mainly have the following defects: (1) low accuracy: visual fatigue is easily caused by long-term visual recognition of a zipper quality inspector, so that the accuracy is reduced; (2) low efficiency: all zipper manufacturing enterprises adopt manual visual inspection, which is time-consuming and labor-consuming, thereby causing low efficiency; (3) high cost: the zipper yield is affected by seasons, and the labor is wasted in the busy seasons, so that the cost is continuously increased.
Along with the defect of the manual visual inspection becoming more and more obvious, the mode of replacing the manual visual inspection detection by an industrial camera exists in the prior art, but the detection of specific defects can be met only in most cases, the detection of other defect indexes can not be met, and the universality is not strong.
The invention discloses an automatic zipper detection machine with the Chinese patent application number of CN201320544461.6, the application publication number of CN 203432617U, the application date of 2013.09.03 and the application publication date of 2014.02.12, which comprises a base, and further comprises a conveying unit, wherein the conveying unit is arranged on the base and comprises a conveying belt for conveying a zipper to be detected; the detection unit is arranged on the base to detect the zipper information on the conveyor belt and transmit the zipper information to the control unit; the control unit is arranged on the base and is communicated with the detection unit so as to receive the zipper information detected by the detection unit and judge whether the zipper is qualified or not; and a separating unit provided on the base or on one side of the base to separate the unqualified slide fastener from the qualified slide fastener. The invention can accurately judge whether each zipper is qualified or not through high-definition shooting and rapid and accurate photo analysis, has extremely high accuracy, and avoids errors caused by manual operation. The whole automatic zipper detection machine has high detection speed, ensures the standard consistency of the detection process, and has no detection omission condition.
However, the integrity detection of the long-code zipper and various defects of the zipper still has limitations, the detection efficiency is to be improved, and the requirement of screening all abnormal zippers in production cannot be met.
In view of this, it is necessary to provide a slide fastener detecting machine which is highly versatile and detects a comprehensive new tool having a learning function.
The foregoing is provided merely for the purpose of facilitating an understanding of the present invention and is not intended to constitute an admission that the entire contents of the foregoing are prior art.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide the intelligent long code zipper detector which has the advantages of comprehensive detection, good effect, strong universality, high detection speed and high efficiency.
The invention also aims to provide the intelligent long code zipper detection method which has the advantages of high detection precision, good effect, strong universality, high detection speed and high efficiency.
In order to achieve the above purpose, the invention adopts the following technical scheme.
The utility model provides an intelligence long code zip fastener detects machine, which comprises a frame, be equipped with the chain guide device in the frame, a serial communication port, still be equipped with the detection bracket in the frame, be fixed with two detection covers in proper order on detecting the bracket, the opening direction of two detection covers staggers respectively towards the positive back of zip fastener two sides, be provided with first camera respectively in two detection covers, first light source group, the second camera, the second light source group, still be provided with flaw mark device and transmission play chain group in the rear end frame of second light source group, still be provided with the man-machine control subassembly of taking control panel in the frame, the lower extreme of frame is provided with automatically controlled subassembly and host computer group, automatically controlled subassembly, the host computer group, the camera, the equal electric connection of light source group.
The main unit is internally solidified with an image analysis module for carrying out algorithm analysis on the images captured by the high-speed camera, a defect judgment module for carrying out defect comparison judgment on the images subjected to algorithm analysis, and a defect learning module for acquiring, learning and uploading defect information displayed on the display screen to a database for storage according to a learning instruction.
As a further explanation of the above solution, the chain guide device at the front end of the detection bracket is further provided with a sensor.
Further, the chain guide device comprises a chain guide frame, a chain guide wheel arranged on the chain guide frame and the detection bracket, wherein the chain guide wheel comprises a large chain guide wheel arranged at the front end part of the chain guide frame, a small chain guide wheel arranged at the rear end of the chain guide frame and a plurality of small chain guide wheels arranged on the detection bracket, and a chain loosening assembly is further arranged at the foremost end of the chain guide frame.
Further, the flaw marking device is a punching device and/or a marking number device; the electric control assembly is also connected with an alarm device for finding the defective zipper.
Further, the light source group in the detection cover adopts a lamp combination with the lumen of less than 2000 lumens, and the zipper products with different colors adopt the light source groups with the required number and angles according to different varieties or specification information.
Further, the light source group comprises a light source fixing plate and LED lamps fixed on the inner side of the light source fixing plate, the light source fixing plate is provided with a middle plane section and inclined plane sections on two sides, the middle of the plane section is provided with a hole, the camera irradiates a zipper with a certain distance below the hole, the plane section and the inclined plane sections on the inner side of the light source fixing plate are respectively provided with LED lamps which are independently controlled, at least one pair of light sources in the plane section are distributed on two sides of the hole, and the inclined plane sections are symmetrically provided with two pairs or more LED lamps.
Further, the light source group can adopt 2-6 groups of LED lamps, and adopts different angle distribution to shine the zip fastener in the lamp source fixed plate, and every group LED lamp all independent control is provided with LED lamp selection module, to the zip fastener product of different varieties or specification information including different colours, opens required LED lamp quantity and angle.
The invention also provides a detection method adopting the zipper detector, which is characterized by comprising the following steps of.
S1, conveying the zipper to be detected to corresponding positions of the camera and the light source group.
S2, selecting a proper light source through the set LED lamp selection module to snap the zipper to be detected, and transmitting the snapped image to the host unit.
S3, the host unit performs algorithm analysis on the captured image, wherein the algorithm analysis comprises image analysis and defect judgment; the defect judging module is used for comparing and judging the defects of the image analyzed by the algorithm; the defect learning module is used for collecting, learning and uploading the defect information displayed on the display screen to the database for storing the defect information according to the learning instruction.
S4, performing flaw marking on the flawed zipper by the follow-up execution module.
Further, in the step S2, the proper light source is to manually select proper groups of LED lamps according to the requirements of the color, specification and style of the zipper to perform light source distribution on the zipper; the color, the specification and the style of the zipper can be identified by arranging a sensor at the front section of the light source, then related information is transmitted to the main unit, the main unit is solidified with data of corresponding light source groups adopted by different specifications, colors and styles, and then the main unit automatically selects proper LED lamps of the LED lamps to perform light source distribution on the zipper.
The invention has the beneficial effects that.
1. The invention adopting the structure has the advantages of high detection efficiency and high speed of the detector.
2. The invention adopts the data processor of the host group, so that the detector has a learning function, and various defects can be effectively detected through algorithms and modeling.
3. The invention adopts the independently controlled multiple groups of LED lamps, can comprise zipper products with different colors according to different varieties or specification information, and is provided with the required quantity and angle of the light source group lamps, so that the camera shooting effect is better, and the invention is applicable to different zipper products.
4. The two light source groups are staggered, so that the mutual interference of the two light sources can be avoided, and the photographing effect is influenced.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic perspective view of an embodiment of the present invention.
Fig. 2 is a schematic diagram of the front structure of the present invention.
FIG. 3 is a schematic view of another embodiment of the present invention.
Fig. 4 is a schematic view of the structure of the camera shooting and light source set of the present invention.
Fig. 5 is a schematic view of the structure of the light source set according to the present invention.
Fig. 6-7 are schematic illustrations of an 8-bit RGB image of 9 pixels and distribution in computer memory.
Fig. 8 shows that light, medium and deep light sources are combined with zippers with different colors to collect images, and then OpenCV conversion is performed to a gray scale.
Wherein:
1. loose chain assembly 2, chain guide frame 3, large chain guide wheel 4 and frame
5. First camera 6, first light source group 7, detection bracket
8. Small guide chain wheel 9, man-machine control assembly 10 and flaw punching assembly
11. Transmission output chain group 12, main unit group 13 and electric control assembly
14. Second camera 15, second light source group 16, detection cover
17. Zipper 61, lamp source fixing plate 62 and LED lamp
Detailed Description
The following describes the specific embodiments of the present invention further, so that the technical scheme and the beneficial effects of the present invention are more clear and definite. The embodiments described below are exemplary and are intended to illustrate the present invention and should not be construed as limiting the invention.
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout.
Examples
As shown in fig. 1-3, the intelligent long code zipper detection machine of the invention comprises a frame 4, wherein a chain guide device and a detection bracket 7 are arranged on the frame 4, and a detection cover 16 is sequentially fixed on the detection bracket 7 up and down, so that the opening of the detection cover 16 forms a direction towards two sides of a zipper 17, a first camera 5, a first light source group 6, a second camera 14 and a second light source group 15 are respectively arranged in the two detection covers 16, and the two cameras and the light source groups are staggered, so that the mutual interference of light sources which mutually affect the two sides can be avoided, and the shooting effect of the cameras is affected; a flaw punching assembly 10 and a transmission chain output assembly 11 are further arranged on the rear end frame 4 of the second light source assembly 15, a man-machine control assembly 9 comprising a control panel is further arranged on the frame 4, an electric control assembly and a main unit 12 are arranged at the lower end of the frame 4, and the electric control assembly, the main unit 12, the camera and the light source assembly are electrically connected; the main unit 12 includes a data processor to analyze and process the received image information of the slide fastener 17; the device comprises a display screen, an image analysis module, a defect judgment module, a defect learning module and a defect analysis module, wherein the image analysis module is used for carrying out algorithm analysis on an image captured by a high-speed camera, the defect judgment module is used for carrying out defect comparison judgment on the image subjected to algorithm analysis, and the defect learning module is used for acquiring, learning and uploading defect information displayed on the display screen to a database for storage according to a learning instruction.
The chain guide device at the front end of the detection bracket 7 is also provided with a sensor, and the sensor starts to start the subsequent detection action when sensing that the zipper 17 is arranged.
The chain guide device consists of a chain guide frame 2, chain guide wheels arranged on the chain guide frame 2 and a detection bracket 7, wherein the chain guide wheels consist of a large chain guide wheel 3 arranged at the front end part of the chain guide frame 2, a small chain guide wheel 8 arranged at the rear end of the chain guide frame 2 and a plurality of small chain guide wheels 8 arranged on the detection bracket 7, and the foremost end of the chain guide frame 2 is also provided with a chain loosening component 1.
In the above embodiments, the defective punching assembly 10 may be other defective marking devices.
In the above embodiment, the detection bracket 7 is arranged in a horizontal direction, so that the camera and the light source group horizontally face the zipper 17 to obtain related information, and the detection bracket 7 can also be arranged in a vertical direction or in other inclined angles, and only the installation angle of the detection cover 16 with the camera and the light source group is required to be correspondingly adjusted to keep opposite to the front face of the zipper 17.
The punching device may also be used as one of the flaw marking devices, and other marking devices such as a coloring device, a sticker puncture, printing, sticker marking, or the like may be used at the same time, or a mark may be made conspicuously at the flaw slide fastener 17 while punching. Alternatively, other marks may be used without punching, and the marking device may be in various forms, such as a sticker, a stamp, a marker pen, or the like, or may be provided with a pigment on the punch, and the pigment adheres to the zipper 17 along with the punch during the operation of the punch. The invention is not described in detail herein, and one of ordinary skill in the art can employ other labeling schemes as desired without the need for creative effort.
The device can also be provided with an alarm device, and when the defective zipper 17 is found, an alarm prompt tone is sent out.
As shown in fig. 4 and 5, the light source group of the present invention is composed of a light source fixing plate 61 and LED lamps 62 fixed on the inner side of the light source fixing plate 61, the light source fixing plate 61 adopts a middle plane section and inclined plane sections on both sides, the middle of the plane section is provided with a hole, the camera irradiates the zipper 17 with a certain distance from the hole, the plane section and the inclined plane section on the inner side of the light source fixing plate 61 are respectively provided with the LED lamps 62 controlled independently, at least one pair of light sources on the two sides of the hole are distributed on the plane section, and the inclined plane section is symmetrically provided with two or more pairs of LED lamps 62, in this embodiment, the number of the opened and closed light sources is determined according to the zippers 17 with different colors, light depths and types. The first light source group is shown as an example, and the second light source group is also constructed in the same way.
The light source group in the detection cover 16 can adopt 2-6 groups of LED lamps, different angle distribution is adopted in the light source fixing plate 61 (lamp shade) to irradiate the zipper 17, the required number and angle of the light source group lamps are required to be configured for different varieties or specification information including zipper 17 products with different colors, and the control of the light source group can be electrically connected with the main unit according to actual requirements, and can be automatically controlled according to requirements.
The invention uses the industrial high-speed camera to collect images at the frame rate of 1000 frames per second or below according to the operation speed of the zipper transmission and control device, and the process of converting color images into gray images becomes gray processing of the images by converting the images into gray images through an OpenCV algorithm after the images are collected due to the different colors and types of the zippers 17. The color of each pixel in the color image is determined by R, G, B components, and each component preferably has a 255 median value, such a pixel may have 1600 tens of thousands of pixels (255 x 255) a range of color variations. The gray image is a special color image with the same components as those of R, G, B, and the variation range of one pixel point is 255, so that the zipper image acquired by the industrial high-speed camera is generally converted into the gray image in the digital image processing, so that the calculation amount of the subsequent image is reduced. The description of the gray scale image, like the color image, still reflects the distribution and characteristics of the chromaticity and luminance levels throughout and locally of the image.
As shown in fig. 6 and 7, an 8-bit RGB image of 9 pixels and a schematic diagram of distribution in a computer memory are shown, and the gray image is represented by black with different saturation, for example, the gray degree is represented by 8-bit numbers 0-255, each pixel only needs one gray value, 8 bits, and such a 3X3 gray image can be stored by only 9 bytes.
The conversion between RGB values and gray scales is actually a conversion in which human eyes feel brightness feeling with respect to color, and has the following formula.
Grey = 0.299*R + 0.587*G + 0.114*B。
According to the formula, R, G and B values of each pixel point are sequentially read, gray values are calculated (converted into integer numbers), the gray values are assigned to corresponding positions of the new image, and conversion is completed after all the pixel points are traversed once. The brightness level after conversion is classified into light, medium and deep three levels.
Because the color of the zipper has influence of various uncertain factors during conversion, the color and the brightness of the zipper image collected by the high-speed camera can be ensured to be in a stable R, G and B value by matching with 2000 lumens and below light source combinations in the project. For example white, yellow, cyan, in combination with a light source of less than 800 lumens; pink, kazakhstan, light purple, in combination with a light source of less than 1400 lumens; black, dark green, dark blue, in combination with light sources below 2000 lumens.
As shown in FIG. 8, after the light, medium and deep three light sources are combined with zippers with different colors to collect images, openCV is performed to convert the images into gray level images, and the visible chromaticity and brightness are in the same stable value, so that the description of the gray level images still reflects the distribution and characteristics of the whole and partial chromaticity and brightness levels of the whole image as the color images, thereby ensuring the accuracy of depth algorithm detection.
The invention is innovative in that the LED lamp selection module is arranged, and the LED lamp selection module can be used for adopting the light source groups with the required number of light source combinations and angles according to different varieties or specification information, including zipper products with different colors. The LED lamp selection module can manually select the required angle and quantity of the light source by observing the information such as the color, the depth and the specification of the zipper, or can be provided with a sampling sensor and the like in front of the zipper, and is connected with the main unit through the sampling sensor, and the LED lamp selection module in the main unit sends a control instruction to control the opening of the quantity for controlling the angle of the LED lamp.
The working principle of the invention is as such.
The tested zipper 17 is arranged, a startup sensor senses a zipper signal, detection regulation and control are carried out on an operation panel, the obtained information is sent to a host computer by a detection unit part, namely a camera and a light source group, a data processor of the host computer group 12 analyzes and processes the received image information of the zipper, and the received image information is compared and analyzed with pre-stored zipper data information at a high speed, and whether the zipper is a qualified product is judged; the analyzed objects include the type, specification, color, shape, position of machining action, LOGO, font, flatness, parallelism, edge distance, whether there is missing, whether there is a tooth injury, tape pollution, broken edge and hole, color difference, whether there is a crease, etc. of the zipper. The operator sets the standard values in the main unit 12 in advance to form a uniform standard, and then the main unit 12 automatically analyzes the obtained data at a fast speed to determine whether the zipper is a qualified product.
The specific steps are as follows.
S1, starting up to transmit the zipper to be detected to the position of the camera and the light source group.
S2, selecting a proper light source through manual selection or equipment (an LED lamp selection module), capturing the zipper to be detected, and transmitting the captured image to a host unit.
S3, the host unit performs algorithm analysis on the captured image, wherein the algorithm analysis comprises image analysis and defect judgment; the defect judging module is used for comparing and judging the defects of the image analyzed by the algorithm; the defect learning module is used for collecting, learning and uploading the defect information displayed on the display screen to the database for storing the defect information according to the learning instruction.
S4, performing flaw marking on the flawed zipper by the follow-up execution module.
In the step S2, proper light sources are selected by manpower according to the requirements on the color, specification and style of the zipper to perform light source distribution on the zipper; or the color, the specification and the style of the zipper are identified by arranging a sensor at the front section of the light source, then related information is transmitted to the main unit, the main unit is solidified with data of corresponding light source groups adopted by different specifications, colors and styles, and then the main unit automatically selects proper LED lamps with different lumens and different groups to perform light source distribution on the zipper.
The host group 12 also has a learning function to store previously inspected data and form new inspection criteria so that defects are more fully inspected.
The automatic zipper detection machine provided by the invention can accurately judge whether each zipper is qualified or not by carrying out high-definition shooting under enough illumination and rapidly and accurately carrying out image analysis, has extremely high accuracy, has a learning function, avoids errors caused by manual operation, and is beneficial to improving the production efficiency.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In the present invention, unless expressly stated or limited otherwise, a first feature "above" or "below" a second feature may include both the first and second features being in direct contact, as well as the first and second features not being in direct contact but being in contact by another feature therebetween. Moreover, a first feature being "above," "over" and "on" a second feature includes the first feature being directly above and obliquely above the second feature, or simply indicating that the first feature is higher in level than the second feature. The first feature being "under", "below" and "beneath" the second feature includes the first feature being directly under and obliquely below the second feature, or simply indicates that the first feature is less level than the second feature.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms should not be understood as necessarily being directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Further, one skilled in the art can engage and combine the different embodiments or examples described in this specification.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that changes, modifications, substitutions and variations may be made therein by those of ordinary skill in the art without departing from the scope of the invention, which is defined by the appended claims and their equivalents. The portions of the detailed description that are not presented are all prior art or common general knowledge.
Claims (4)
1. The intelligent long-code zipper detection machine comprises a frame, wherein a chain guide device is arranged on the frame, and is characterized in that a detection bracket is further arranged on the frame, two detection covers are sequentially fixed on the detection bracket, the opening directions of the two detection covers are staggered and respectively face the front face and the back face of a zipper, a first camera, a first light source group, a second camera and a second light source group are respectively arranged in the two detection covers, a flaw marking device and a transmission chain output group are further arranged on a rear-end frame of the second light source group, a man-machine control assembly with a control panel is further arranged on the frame, an electric control assembly and a main unit are arranged at the lower end of the frame, and the electric control assembly, the main unit, the cameras and the light source groups are electrically connected;
the first light source group and the second light source group are composed of a light source fixing plate and LED lamps fixed on the inner side of the light source fixing plate, the light source fixing plate adopts a middle plane section and inclined plane sections on two sides, the middle of the plane section is provided with a hole, a camera irradiates a zipper with a certain distance below the hole, the plane section and the inclined plane section on the inner side of the light source fixing plate are respectively provided with the LED lamps, at least one pair of light sources of the plane section are distributed on two sides of the hole, and the inclined plane section is symmetrically provided with two or more pairs of LED lamps; the first light source group and the second light source group adopt 2-6 groups of LED lamps, different angle distributions are adopted in the lamp source fixing plate to irradiate the zipper, and each group of LED lamps are independently controlled; the LED lamp selection module is arranged, and for different varieties or specification information including zipper products with different colors, the LED lamps with the required quantity and angles are turned on;
the main unit is internally solidified with an image analysis module for carrying out algorithm analysis on the images captured by the high-speed camera, a defect judgment module for carrying out defect comparison judgment on the images subjected to algorithm analysis, and a defect learning module for acquiring, learning and uploading defect information displayed on the display screen to a database for storage according to a learning instruction;
the chain guide device positioned at the front end of the detection bracket is also provided with a sensor which is electrically connected with the electric control component;
the chain guide device consists of a chain guide frame, a chain guide wheel arranged on the chain guide frame and a detection bracket, wherein the chain guide wheel consists of a large chain guide wheel arranged at the front end part of the chain guide frame, a small chain guide wheel arranged at the rear end of the chain guide frame and a plurality of small chain guide wheels arranged on the detection bracket, and the foremost end of the chain guide frame is also provided with a chain loosening component;
the detection bracket is arranged in a horizontal direction or a vertical direction, so that the horizontal plane or the vertical direction of the camera and the light source group is opposite to the upper surface and the lower surface of the zipper;
the flaw marking device is a punching assembly and/or a marking number device;
the marking device is a sticker, a seal or a marker; the electric control assembly is also connected with an alarm device for finding the defective zipper.
2. A method of detecting using the slide fastener detecting machine of claim 1, comprising the steps of:
s1, conveying a zipper to be detected to a camera and a light source group;
s2, selecting a proper light source through the set LED lamp selection module to snap the zipper to be detected, and transmitting the snapped image to the host unit;
s3, the host unit performs algorithm analysis on the captured image, wherein the algorithm analysis comprises image analysis and defect judgment; the defect judging module is used for comparing and judging the defects of the image analyzed by the algorithm; the defect learning module is used for collecting, learning and uploading defect information displayed on the display screen to the database for storing the defect information according to the learning instruction;
s4, performing flaw marking on the flawed zipper by the follow-up execution module.
3. The method according to claim 2, wherein in the step S2, the suitable light sources are selected by manually selecting suitable groups of LED lamps according to the requirements of the color, specification and style of the zipper to perform light source distribution on the zipper.
4. The detecting method according to claim 2, wherein in the step S2, the suitable light source is to identify the color, the specification and the style of the zipper by arranging a sensor at the front section of the light source, then transmit the relevant information to the host group, solidify the data of the corresponding light source groups adopted by different specifications, colors and styles in the host group, and then automatically select the suitable lumens and the LED lamps in the group to perform light source distribution on the zipper.
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Citations (4)
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| EP0742431A1 (en) * | 1995-05-10 | 1996-11-13 | Mahlo GmbH & Co. KG | Method and apparatus for detecting flaws in moving fabrics or the like |
| TW201323858A (en) * | 2011-12-07 | 2013-06-16 | Yuh Pheng Machinery Co Ltd | Automatic optical inspection device for zipper surface and its inspection method |
| CN106596574A (en) * | 2017-01-13 | 2017-04-26 | 深圳市视觉龙科技有限公司 | Device and method for detecting object surface defects |
| CN113820326A (en) * | 2021-11-19 | 2021-12-21 | 佛山市煜丰机械有限公司 | Defect detection system of long-code zipper |
-
2022
- 2022-01-12 CN CN202210034153.2A patent/CN114235830B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0742431A1 (en) * | 1995-05-10 | 1996-11-13 | Mahlo GmbH & Co. KG | Method and apparatus for detecting flaws in moving fabrics or the like |
| TW201323858A (en) * | 2011-12-07 | 2013-06-16 | Yuh Pheng Machinery Co Ltd | Automatic optical inspection device for zipper surface and its inspection method |
| CN106596574A (en) * | 2017-01-13 | 2017-04-26 | 深圳市视觉龙科技有限公司 | Device and method for detecting object surface defects |
| CN113820326A (en) * | 2021-11-19 | 2021-12-21 | 佛山市煜丰机械有限公司 | Defect detection system of long-code zipper |
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