CN108827976A - A kind of amenities stain vision detection system - Google Patents
A kind of amenities stain vision detection system Download PDFInfo
- Publication number
- CN108827976A CN108827976A CN201810487846.0A CN201810487846A CN108827976A CN 108827976 A CN108827976 A CN 108827976A CN 201810487846 A CN201810487846 A CN 201810487846A CN 108827976 A CN108827976 A CN 108827976A
- Authority
- CN
- China
- Prior art keywords
- amenities
- image
- industrial
- production line
- stain
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
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
- G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
Landscapes
- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The present invention relates to Machine Vision Detection field more particularly to a kind of amenities stain vision detection system, which includes photoelectric sensing component, image collection assembly, light source assembly;Photoelectric sensing component includes the photoelectric sensor for receiving the photoinduction piece for the optical signal that amenities generates on production line, being connected with photoinduction piece and be used for photoelectric signal transformation;Image collection assembly includes PLC, industrial camera, industrial computer;PLC, for receiving the electric signal of photoelectric sensor transmission;Industrial camera is sent to industrial computer for acquiring the amenities image on production line in real time, and by the image of acquisition;Industrial computer, for judging product surface with the presence or absence of smudge defect;Light source assembly includes strip source.The beneficial effects of the present invention are:It may be implemented to detect smudge defect present on amenities real-time, quickly.
Description
Technical field
The present invention relates to Machine Vision Detection field more particularly to a kind of amenities stain vision detection systems.
Background technique
Currently, the amenities such as well known sanitary napkin, protection pad, paper diaper, mattress, pet pads in process of production can be because coming
Material or production technology cause to lack in final products with the presence of stains such as part of the surface hair, black connector, dog-ear, leakage cotton, folds
Sunken defective products.Since automated production linear velocity is fast, it can not accomplish that real-time online detects, can only be installed on automatic assembly line
Some optoelectronic switches are used to control the defective outflow of black connector and dog-ear etc, then required for hair, leakage cotton, wrinkle defect
Judge whether health product meets required standard according to naked eyes at automatic assembly line packaging by worker, it is this by artificial inspection
There are following four disadvantages for the mode of survey:
1, detection efficiency is low;
2, the judgment criteria detected is difficult to unified, different inspector according to its subjective idea, to same substandard product
Judgement may be inconsistent;
3, the case where inspector works long hours, and is easy to appear eye fatigue and judgment decline, easily determines mistake, even
It will appear correct judgment but place the situation of mistake, non-defective unit is put into defective products area, can increase scrappage in this way;
4, since inner wrapping pack movement is completed in monolithic product, so the defect of speckle etc existing for inside is against daylight
Lamp is different surely to be found out, and can only detect that there are the products of larger smudge defect.
Summary of the invention
In order to solve the problems, such as that existing manual detection mode exists, the present invention provides a kind of amenities stain vision inspection
Examining system may be implemented to detect smudge defect present on amenities real-time, quickly.
To achieve the goals above, the present invention provides the following technical solutions:A kind of amenities stain vision detection system,
Including photoelectric sensing component, image collection assembly, light source assembly;Photoelectric sensing component includes for receiving health use on production line
The photoinduction piece for the optical signal that product generate, the photoelectric sensor for being connected with photoinduction piece and being used for photoelectric signal transformation;
Image collection assembly includes PLC, industrial camera, industrial computer;PLC, for receiving the electric signal of photoelectric sensor transmission;
Industrial camera is sent to industrial computer for acquiring the amenities image on production line in real time, and by the image of acquisition;Industry
Computer, for judging product surface with the presence or absence of smudge defect;
Light source assembly includes strip source.
Photoinduction piece can receive the optical signal of the generation of the gap between the product transmitted on assembly line, pass through photoelectric sensing
Device converts it to electric signal and is sent to PLC, and realization generates triggering in the case where having new product arrival in the production line in real time
Signal;Strip source is mounted between product and industrial camera to be detected, provides illumination for the Image Acquisition to industrial camera.
PLC receives electric signal, and industrial camera is the amenities image acquired on production line in real time, and the image of acquisition is sent to industrial electro
Brain, industrial computer judge product surface with the presence or absence of smudge defect.When PLC receives the trigger signal of new product arrival, work
Industry camera begins to carry out Image Acquisition to the product on production line, and the image of acquisition is then sent to industrial computer, is passed through
Judge product surface with the presence or absence of smudge defect based on the computer program of industrial computer exploitation.
Preferably, the industrial camera uses Dalsa line scan camera.
Dalsa line scan camera can be realized primary according to the camera for using actual use situation switching different pixels precision
The identification to smudge defect on amenities can be completed in scanning.
Preferably, the mounting distance of the amenities on the industrial camera and production line is 110~150mm;It is described
The mounting distance of amenities upper surface on strip source and production line is 20~60mm.
The mounting distance of amenities on industrial camera and production line is 110~150mm, guarantees the detection visual field and detection
Precision;The mounting distance of amenities upper surface on strip source and production line is 20~60mm, guarantees that product surface is best
The reflective uniformity and Image Acquisition effect.
The present invention provides a kind of amenities stain vision detection systems, may be mounted at the automatic metaplasia of amenities
Real time high-speed health product is accurately detected in producing line, the production efficiency of amenities can be greatly improved, and promoted
The yields of final products.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is the work flow diagram of detection system of the present invention;
Fig. 2 is the structural schematic diagram of detection system of the present invention;
Fig. 3 is camera operating distance mutual alignment relation figure in detection system of the present invention;
Fig. 4 is the image that the present invention is obtained using positioning tools production;
Fig. 5 is the image that the present invention is obtained using spot detection tool;
Fig. 6 is the image of the qualified health product of industrial camera acquisition of the present invention;
Fig. 7 is the image A of the unqualified health product of industrial camera acquisition of the present invention;
Fig. 8 is the image B of the unqualified health product of industrial camera acquisition of the present invention;
Fig. 9 is the image C of the unqualified health product of industrial camera acquisition of the present invention;
Figure 10 is the image D of the unqualified health product of industrial camera acquisition of the present invention.
In figure:1. driven wheel;2. sensing chip;3. photoelectric sensor;4. encoder;5. display;6. industrial computer;
7.PLC;8. industrial camera;9. industrial lens;10. strip source;11. product.
Specific embodiment
In order to further appreciate that technical characteristic of the invention, the present invention is explained in detail combined with specific embodiments below
It states.Embodiment only to the present invention have exemplary effect, without the effect of any restrictions, this field technical staff exist
Any insubstantial modifications made on the basis of the present invention, all should belong to protection scope of the present invention.
Embodiment 1
A kind of amenities stain vision detection system shown in 1-9 with reference to the accompanying drawings, a kind of amenities stain vision-based detection system
System, including photoelectric sensing component, image collection assembly, light source assembly;Photoelectric sensing component includes defending on production line for receiving
The photoinduction piece 2 for the optical signal that raw articles generate, the photoelectric sensor 3 for being connected and being used for photoelectric signal transformation with photoinduction piece 2;
Image collection assembly includes PLC7, industrial camera 8, industrial computer 6;PLC7, for receiving the electricity of the transmission of photoelectric sensor 3
Signal;Industrial camera 8 is sent to industrial electro for acquiring the amenities image on production line in real time, and by the image of acquisition
Brain 6;Industrial computer 6, for judging 11 surface of product with the presence or absence of smudge defect;
Light source assembly includes strip source 10.
Photoinduction piece 2 can receive the optical signal of the generation of the gap between the product 11 transmitted on assembly line, pass through photoelectricity
Sensor 3 converts it to electric signal and is sent to PLC7, and realization is real-time in the case where having new product 11 to reach in the production line
Generate trigger signal;Strip source 10 is mounted between product 11 and industrial camera 8 to be detected, for the figure to industrial camera 8
As acquisition provides illumination.PLC7 receives electric signal, and industrial camera 8 is the amenities image acquired on production line in real time, acquisition
Image be sent to industrial computer 6, industrial computer 6 judges 11 surface of product with the presence or absence of smudge defect.When PLC7 is received newly
When the trigger signal that product 11 reaches, industrial camera 8 begins to carry out Image Acquisition to the product 11 on production line, then will adopt
The image of collection is sent to industrial computer 6,11 surface of product is judged by the computer program developed based on industrial computer 6 whether
There are smudge defects.
Industrial lens 9 are connect with industrial camera 8;Industrial camera 8 is connect with industrial computer 6;The IO line of industrial camera 8 with
The connection of PLC (PLC) 7, encoder 4 are connected with the main shaft of driven wheel 1, install photoelectric sensor 3, it is allowed to face sensing chip
The signal wire of 2 indentation, there, photoelectric sensor 3 is connected with PLC7.
Specifically, the industrial camera 8 uses Dalsa line scan camera.
The tool of Design Orientation in software captures product space in real time.
Positioning tool real-time capture product space accomplishes that product enters camera coverage and can be automatically positioned into the visual field
Centre.Positioning duration is optimized to 10ms by average 35ms, handles the overall time average temperature of monolithic product in 40ms, to reach
The high speed detection effect of 1500 pieces/minute.
Increase the region of any ten quadrangles and any icosagon for spot detection tool.
Acquisition image-region is adjusted for different products, so that the image data of acquisition covers each edge in surface
Corner, to realize to health product without blind-spot detection.
Specifically, the mounting distance of the detection faces of the front end and product 11 of industrial lens 9 is 120mm, strip light in figure five
The mounting distance of the detection faces of source 10 and product 11 is 40mm, and the acquisition image effect of product is effectively ensured.
One photoelectric sensor and sensing chip, the notch number of sensing chip and current production are installed on production equipment driven shaft
Individual pen the piece number it is equal, often sense a notch, just send a trigger signal to line and sweep camera, line is swept camera and received the touching
Signalling is set as frame trigger signal, can reject product in the delay the piece number of setting to realize, this is in receives each time
Chaining search just is carried out to result queue when frame, if index is equal to current count and postpones the difference of the piece number, this is taken
This result is exported out.Encoder is mounted on driven shaft again, is attached with shaft coupling, the A phase of encoder is distinguished with B phase
No. 0 port of input PLC input and No. 1 port, PLC capture pulse signal in real time, often carry out a pulse and just remember that a number takes one
Every a line image is then combined into a whole picture automatically until the image line height of setting reaches by row image.Picture is sent into program
It is tested and analyzed, judges whether there is defect, result is put into queue.Quality problems are then according in result if it exists
It is any defect that information analysis, which goes out, and its defect area is outlined with red contours, and issue alarm signal, while by this result
It is put into result queue, it is corresponding after phase delay to reject the panel products, to realize online high speed real-time detection function.
In production process, assembly line is received by photoinduction piece 2 and uploads the light letter that the gap between the product 11 sent generates
Number, electric signal is converted it to by photoelectric sensor 3 and is sent to PLC7, trigger signal is sent to work after PLC7 is handled
Industry camera 8 starts to carry out Image Acquisition, and whether image taking results analyze and determine current production by the detection program of industrial computer 6
There are smudge defects, acquire photo and analysis result as schemed, image taking results are clear, and computer judges that smudge defect is accurate, together
When detection to 1200 amenities on production line may be implemented per minute, detection efficiency and accuracy are higher than artificial detection side
Method.
Embodiment 2
Embodiment 2 and the distinguishing characteristics of embodiment 1 are:The mounting distance of the detection faces of the front end and product 11 of industrial lens 9
For 100mm, the mounting distance of the detection faces of strip source 10 and product 11 must control the acquisition image for guaranteeing product in 20mm
Effect.
In production process, assembly line is received by photoinduction piece 2 and uploads the light letter that the gap between the product 11 sent generates
Number, electric signal is converted it to by photoelectric sensor 3 and is sent to PLC7, trigger signal is sent to work after PLC7 is handled
Industry camera 8 starts to carry out Image Acquisition, and whether image taking results analyze and determine current production by the detection program of industrial computer 6
There are smudge defects, acquire photo and analysis result as schemed, image taking results are clear, and computer judges that smudge defect is accurate, together
When detection to 1200 amenities on production line may be implemented per minute, detection efficiency and accuracy are higher than artificial detection side
Method.
Embodiment 3
Embodiment 3 and the distinguishing characteristics of embodiment 1 are:The peace of the detection faces of the front end of industrial lens 9 and product 11 in figure five
Dress distance is 150mm, and strip source 10 and the mounting distance of the detection faces of product 11 must control the acquisition for guaranteeing product in 60mm
Image effect.
In production process, assembly line is received by photoinduction piece 2 and uploads the light letter that the gap between the product 11 sent generates
Number, electric signal is converted it to by photoelectric sensor 3 and is sent to PLC7, trigger signal is sent to work after PLC7 is handled
Industry camera 8 starts to carry out Image Acquisition, and whether image taking results analyze and determine current production by the detection program of industrial computer 6
There are smudge defects, acquire photo and analysis as the result is shown as schemed, and image taking results are clear, and computer judges smudge defect standard
Really, while per minute the detection to 1200 amenities on production line may be implemented, detection efficiency and accuracy are higher than artificial
Detection method.
In short, the foregoing is merely presently preferred embodiments of the present invention, made by all ranges according to the present patent application patent
Deng variation and modification, it is all covered by the present invention.
Claims (3)
1. a kind of amenities stain vision detection system, it is characterised in that:Including photoelectric sensing component, image collection assembly,
Light source assembly;
Photoelectric sensing component includes for receiving the photoinduction piece for the optical signal that amenities generates on production line and photoinduction piece
It is connected and is used for the photoelectric sensor of photoelectric signal transformation;
Image collection assembly includes PLC, industrial camera, industrial computer;;
PLC, for receiving the electric signal of photoelectric sensor transmission;Industrial camera, the health for being acquired on production line in real time are used
Product image, and the image of acquisition is sent to industrial computer;Industrial computer:For judging that product surface is lacked with the presence or absence of stain
It falls into;
Light source assembly includes strip source.
2. a kind of amenities stain vision detection system according to claim 1, which is characterized in that the industrial camera
Using Dalsa line scan camera.
3. a kind of amenities stain vision detection system according to claim 1, which is characterized in that the industrial camera
Mounting distance with the amenities on production line is 110 ~ 150mm;On amenities on the strip source and production line
The mounting distance on surface is 20 ~ 60mm.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810487846.0A CN108827976A (en) | 2018-05-21 | 2018-05-21 | A kind of amenities stain vision detection system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810487846.0A CN108827976A (en) | 2018-05-21 | 2018-05-21 | A kind of amenities stain vision detection system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108827976A true CN108827976A (en) | 2018-11-16 |
Family
ID=64148282
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810487846.0A Pending CN108827976A (en) | 2018-05-21 | 2018-05-21 | A kind of amenities stain vision detection system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108827976A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110487807A (en) * | 2019-09-20 | 2019-11-22 | 广州市讯思视控科技有限公司 | A kind of dry cell zinc cylinder open defect vision inspection apparatus and method |
CN111044537A (en) * | 2019-12-31 | 2020-04-21 | 湖北宝灿卫生用品有限公司 | Surface defect detection and waste removal system of paper diaper production line |
CN111603311A (en) * | 2019-02-22 | 2020-09-01 | 北京同仁堂保康科技有限公司 | Production method of knitted fabric sanitary towel |
CN111650211A (en) * | 2020-06-23 | 2020-09-11 | 四川长虹电器股份有限公司 | Outer quick-witted base welding defect detecting system of air conditioner |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202823917U (en) * | 2012-10-30 | 2013-03-27 | 济南力诺玻璃制品有限公司 | On-line full-automatic detecting machine for ampoule bottles |
CN103207185A (en) * | 2012-01-11 | 2013-07-17 | 宝山钢铁股份有限公司 | Steel coil end portion quality detection system and method thereof |
CN104237252A (en) * | 2014-09-25 | 2014-12-24 | 华南理工大学 | Machine-vision-based method and device for intelligently detecting surface micro-defects of product |
CN204330595U (en) * | 2014-07-15 | 2015-05-13 | 闽浪仪器科技(厦门)有限公司 | A kind of real time multi-channel fluorescence detecting system |
CN205526659U (en) * | 2015-12-29 | 2016-08-31 | 郑州旭飞光电科技有限公司 | Belt transfer system of glass substrate line printer |
CN105973912A (en) * | 2016-06-12 | 2016-09-28 | 合肥汉重智能装备有限公司 | Leather surface defect detecting system and method based on machine vision |
CN106697866A (en) * | 2017-01-09 | 2017-05-24 | 深圳星精丰科技有限公司 | Screw arranging and conveying device |
CN208580040U (en) * | 2018-05-21 | 2019-03-05 | 德清炬诚电子科技有限公司 | A kind of amenities stain vision detection system |
-
2018
- 2018-05-21 CN CN201810487846.0A patent/CN108827976A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103207185A (en) * | 2012-01-11 | 2013-07-17 | 宝山钢铁股份有限公司 | Steel coil end portion quality detection system and method thereof |
CN202823917U (en) * | 2012-10-30 | 2013-03-27 | 济南力诺玻璃制品有限公司 | On-line full-automatic detecting machine for ampoule bottles |
CN204330595U (en) * | 2014-07-15 | 2015-05-13 | 闽浪仪器科技(厦门)有限公司 | A kind of real time multi-channel fluorescence detecting system |
CN104237252A (en) * | 2014-09-25 | 2014-12-24 | 华南理工大学 | Machine-vision-based method and device for intelligently detecting surface micro-defects of product |
CN205526659U (en) * | 2015-12-29 | 2016-08-31 | 郑州旭飞光电科技有限公司 | Belt transfer system of glass substrate line printer |
CN105973912A (en) * | 2016-06-12 | 2016-09-28 | 合肥汉重智能装备有限公司 | Leather surface defect detecting system and method based on machine vision |
CN106697866A (en) * | 2017-01-09 | 2017-05-24 | 深圳星精丰科技有限公司 | Screw arranging and conveying device |
CN208580040U (en) * | 2018-05-21 | 2019-03-05 | 德清炬诚电子科技有限公司 | A kind of amenities stain vision detection system |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111603311A (en) * | 2019-02-22 | 2020-09-01 | 北京同仁堂保康科技有限公司 | Production method of knitted fabric sanitary towel |
CN111603311B (en) * | 2019-02-22 | 2021-11-05 | 北京同仁堂保康科技有限公司 | Production method of knitted fabric sanitary towel |
CN110487807A (en) * | 2019-09-20 | 2019-11-22 | 广州市讯思视控科技有限公司 | A kind of dry cell zinc cylinder open defect vision inspection apparatus and method |
CN111044537A (en) * | 2019-12-31 | 2020-04-21 | 湖北宝灿卫生用品有限公司 | Surface defect detection and waste removal system of paper diaper production line |
CN111650211A (en) * | 2020-06-23 | 2020-09-11 | 四川长虹电器股份有限公司 | Outer quick-witted base welding defect detecting system of air conditioner |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108827976A (en) | A kind of amenities stain vision detection system | |
CN108465648A (en) | A kind of magnetic core Automated Sorting System based on machine vision | |
CN102095733B (en) | Machine vision-based intelligent detection method for surface defect of bottle cap | |
CN203061453U (en) | Vision separation system for color difference of tiles | |
CN209300267U (en) | A kind of cigarette appearance images processing control system and its on-line measuring device | |
CN103808734B (en) | Auto-parts fully-automated synthesis equipment | |
CN104111260A (en) | Nondestructive ceramic detection device and detection method thereof | |
CN203929667U (en) | Ceramic Tiles non-destructive detecting device | |
CN103785622B (en) | Based on the part method for sorting of the part sorting equipment of machine vision | |
JP2015531481A (en) | Detection system based on modulation of glass line structure laser image | |
CN103157607A (en) | Article identification and sorting device and method thereof | |
CN101750416A (en) | Visual welding seam surface quality detection sensor based on line structure light | |
CN103439337A (en) | Automatic detection device and method for apparent defects of piezoelectric ceramic buzzers | |
CN104267041A (en) | High-speed online detection system and method of presswork | |
CN104132945A (en) | On-line surface quality visual inspection device for bar based on optical fiber conduction | |
CN201094003Y (en) | Special device of tile detection based on machine vision | |
CN206920353U (en) | Honeycomb substrate defect automatic detection system | |
CN103935731A (en) | Detection device and method applied to flow line production | |
CN114280073A (en) | Tile defect detection device adopting laser and camera composite detection mode and classification method | |
CN110346377A (en) | Nonwoven surface detection system and its detection method based on machine vision | |
CN208580040U (en) | A kind of amenities stain vision detection system | |
CN104931505A (en) | Machine visual surface detection system | |
CN203432920U (en) | Device for automatically detecting apparent defects of piezoelectric ceramic buzzing pieces | |
CN114594138A (en) | Semiconductor device substrate detection system and method | |
CN204128554U (en) | The rapid automatized detection system of timepiece industry precision parts quality |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |