CN208580040U - A kind of amenities stain vision detection system - Google Patents
A kind of amenities stain vision detection system Download PDFInfo
- Publication number
- CN208580040U CN208580040U CN201820754563.3U CN201820754563U CN208580040U CN 208580040 U CN208580040 U CN 208580040U CN 201820754563 U CN201820754563 U CN 201820754563U CN 208580040 U CN208580040 U CN 208580040U
- 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.)
- Expired - Fee Related
Links
Abstract
The utility model 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 utility model has the beneficial effects that: may be implemented to detect smudge defect present on amenities real-time, quickly.
Description
Technical field
The utility model 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 unqualified production
The judgement of product may be inconsistent;
3, the case where inspector works long hours, and is easy to appear eye fatigue and judgment decline, easily determines mistake,
It even 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 opposite
Fluorescent 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 utility model provides a kind of amenities stain view
Feel detection system, may be implemented to detect smudge defect present on amenities real-time, quickly.
To achieve the goals above, the utility model provides the following technical solutions: a kind of amenities stain vision-based detection
System, including photoelectric sensing component, image collection assembly, light source assembly;Photoelectric sensing component includes for receiving production line
The photoinduction piece for the optical signal that amenities generates, 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 electricity of photoelectric sensor transmission
Signal;Industrial camera is sent to industrial electro for acquiring the amenities image on production line in real time, and by the image of acquisition
Brain;Industrial 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 utility model provides a kind of amenities stain vision detection system, may be mounted at the automatic of amenities
Real time high-speed health product is accurately detected in metaplasia producing line, the production efficiency of amenities can be greatly improved, and
Promote the yields of final products.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings and examples.
Fig. 1 is the work flow diagram of the utility model detection system;
Fig. 2 is the structural schematic diagram of the utility model detection system;
Fig. 3 is camera operating distance mutual alignment relation figure in the utility model detection system;
Fig. 4 is the image that the utility model is obtained using positioning tools production;
Fig. 5 is the image that the utility model is obtained using spot detection tool;
Fig. 6 is the image of the qualified health product of the utility model industrial camera acquisition;
Fig. 7 is the image A of the unqualified health product of the utility model industrial camera acquisition;
Fig. 8 is the image B of the unqualified health product of the utility model industrial camera acquisition;
Fig. 9 is the image C of the unqualified health product of the utility model industrial camera acquisition;
Figure 10 is the image D of the unqualified health product of the utility model industrial camera acquisition.
In figure: 1. driven wheels;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 the technical characteristics of the utility model, the utility model is carried out combined with specific embodiments below
It is set forth.Embodiment only has exemplary effect to the utility model, without the effect of any restrictions, this field
Any insubstantial modifications that ground technical staff makes on the basis of the utility model, all should belong to the protection of the utility model
Range.
Embodiment 1
A kind of amenities stain vision detection system shown in 1-10 with reference to the accompanying drawings, a kind of amenities stain vision inspection
Examining system, including photoelectric sensing component, image collection assembly, light source assembly;Photoelectric sensing component includes for receiving production line
The photoinduction piece 2 for the optical signal that upper amenities generates, the photoelectric sensing for being connected with photoinduction piece 2 and being used for photoelectric signal transformation
Device 3;
Image collection assembly includes PLC7, industrial camera 8, industrial computer 6;PLC7 is transmitted for receiving photoelectric sensor 3
Electric signal;Industrial camera 8 is sent to work for acquiring the amenities image on production line in real time, and by the image of acquisition
Industry computer 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 of industrial lens 9 and product 11 is 120mm, strip source in Fig. 3
10 and the mounting distances of the detection faces of product 11 are 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 installation of the detection faces of the front end and product 11 of industrial lens 9
Distance is 100mm, and strip source 10 and the mounting distance of the detection faces of product 11 must control the acquisition for guaranteeing product in 20mm
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 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 detection faces of the front end of industrial lens 9 and product 11 in Fig. 3
Mounting distance is 150mm, and strip source 10 and the mounting distance of the detection faces of product 11 must be controlled in 60mm, guarantees adopting for product
Collect 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 above is only the preferred embodiment of the present invention, all ranges according to present utility model application patent
Made equivalent changes and modifications should all belong to the covering scope of the utility model.
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 |
---|---|---|---|
CN201820754563.3U CN208580040U (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 |
---|---|---|---|
CN201820754563.3U CN208580040U (en) | 2018-05-21 | 2018-05-21 | A kind of amenities stain vision detection system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN208580040U true CN208580040U (en) | 2019-03-05 |
Family
ID=65506312
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201820754563.3U Expired - Fee Related CN208580040U (en) | 2018-05-21 | 2018-05-21 | A kind of amenities stain vision detection system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN208580040U (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108827976A (en) * | 2018-05-21 | 2018-11-16 | 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 CN201820754563.3U patent/CN208580040U/en not_active Expired - Fee Related
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108827976A (en) * | 2018-05-21 | 2018-11-16 | 德清炬诚电子科技有限公司 | A kind of amenities stain vision detection system |
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 | |
CN104111260B (en) | Ceramic Tiles non-destructive detecting device and detection method | |
CN103808734B (en) | Auto-parts fully-automated synthesis equipment | |
CN100535647C (en) | On-line detection device of defects in float glass based on machine vision | |
CN209300267U (en) | A kind of cigarette appearance images processing control system and its on-line measuring device | |
CN203929667U (en) | Ceramic Tiles non-destructive detecting device | |
CN203061453U (en) | Vision separation system for color difference of tiles | |
CN101750416A (en) | Visual welding seam surface quality detection sensor based on line structure light | |
CN105548185A (en) | Automobile wheel hub screw hole recognition method based on machine vision and shielding method and system | |
CN102095733A (en) | Machine vision-based intelligent detection method for surface defect of bottle cap | |
CN103157607A (en) | Article identification and sorting device and method thereof | |
CN103785622B (en) | Based on the part method for sorting of the part sorting equipment of machine vision | |
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 | |
CN201094003Y (en) | Special device of tile detection based on machine vision | |
CN104132945A (en) | On-line surface quality visual inspection device for bar based on optical fiber conduction | |
CN103935731A (en) | Detection device and method applied to flow line production | |
CN108000239A (en) | Digital control processing on-line detecting system | |
CN208580040U (en) | A kind of amenities stain vision detection system | |
CN104931505A (en) | Machine visual surface detection system | |
CN108144865A (en) | Automobile oil pipe Rough Inspection system and its detection method | |
CN203432920U (en) | Device for automatically detecting apparent defects of piezoelectric ceramic buzzing pieces | |
CN205463256U (en) | Beverage bottle encapsulation defect automated inspection and removing devices | |
CN114280073A (en) | Tile defect detection device adopting laser and camera composite detection mode and classification method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190305 |
|
CF01 | Termination of patent right due to non-payment of annual fee |