CN201689062U - PET bottle mouth quality detection device - Google Patents

PET bottle mouth quality detection device Download PDF

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Publication number
CN201689062U
CN201689062U CN2010201946624U CN201020194662U CN201689062U CN 201689062 U CN201689062 U CN 201689062U CN 2010201946624 U CN2010201946624 U CN 2010201946624U CN 201020194662 U CN201020194662 U CN 201020194662U CN 201689062 U CN201689062 U CN 201689062U
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CN
China
Prior art keywords
camera
sensor
pet
bottleneck
pet bottle
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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 - Lifetime
Application number
CN2010201946624U
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Chinese (zh)
Inventor
张树君
吕艳秋
安新军
王立伟
李晓岩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong Mingjia Package Inspection Technology Co Ltd
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Shandong Mingjia Package Inspection Technology Co Ltd
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Priority to CN2010201946624U priority Critical patent/CN201689062U/en
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Publication of CN201689062U publication Critical patent/CN201689062U/en
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Abstract

The utility model discloses a PET bottle mouth quality detection device, which comprises a bottle mouth detection device, a mechanical conveying mechanism, a sensor, an industrial high-definition camera system, an image processor, an industrial personnel computer and a rejecting system. PET bottles are arranged on the mechanical conveying mechanism, a camera is arranged above the PET bottle mouths, the PET bottles pass through the sensor which is connected with the camera and an LED combined light source, the camera is also connected with the image processor, and the control unit is connected with the sensor, the image processor and the rejecting system. The PET bottle mouth quality detection device can realize real-time uninterrupted detection of airtightness and ovality of PET bottle mouths on a high-speed automatic production line, and is fine in detection efficiency and quality.

Description

A kind of device that is used for the detection of PET bottleneck quality
Technical field
The utility model belongs to production line Automatic Measurement Technique field, is specifically related to the device that a kind of PET of being used for bottleneck quality detects, and can carry out real-time non-discontinuity detection to the breakage of PET bottleneck, scuffing and ovality on high-speed automated production line.
Background technology
At present, automatic checkout equipment is being brought into play crucial effects in the commercial production now.In order to enhance productivity, must to make checkout equipment carry out online detection, and in time reject and detect underproof product, so contactless online detection instrument is being brought into play more and more important effect not interrupting under the industrial situation.In the process of present beer, food, beverage and pharmaceutical production, require container filling to satisfy corresponding quality standard, before the production can, all to carry out strict detection.For example before PET bottle filled drink, at first to detect the PET bottleneck and whether have defective such as circle of sealing defective and bottleneck.If the bottleneck defectiveness can cause the gas leakage of carbonated beverage, influence the quality of product.Not having before the online detection instrument, all is that the workman utilizes eye-observation to add the method for sampling check generally.Present line speed is very high, high reach 70,000 bottles/time, even low production line also reached 20,000 4 thousand bottles/time.On this high-speed production lines, use artificial naked eyes to detect, because visual fatigue and other human factors, manual detection is difficult to catch up with production requirement.
The utility model content
The purpose of this utility model is: providing a kind of can carry out real-time non-discontinuity detection to PET bottleneck sealing and ovality on high-speed automated production line, detection efficiency height, the measured a kind of device that the PET bottleneck quality detects that is used for of matter.
The technical solution of the utility model is: the device that a kind of PET of being used for bottleneck quality detects comprises the bottleneck pick-up unit, mechanical transmission mechanism, sensor, technical grade high-resolution camera system, image processor, industrial control computer and eliminating system, the PET bottle is arranged in the mechanical transmission mechanism, technical grade high-resolution camera system is made up of camera and LED combined light source, camera is arranged on the top of PET bottleneck, the PET bottle is through sensor, sensor is connected with the LED combined light source with camera, camera is connected with image processor, control module and sensor, image processor links to each other with eliminating system.
Adopt annular low angle light source, prospect light polishing mode is adopted in LED light-emitting particles and horizontal direction angle of inclination between 30 °-60 °, with the outline line feature of bottleneck from extracting the background on every side.Sensor and stroboscopic controller are used, and when the PET bottle triggered sensor, light source reached brightness peak in the short time.
The beneficial effects of the utility model are: the PET bottle in mechanical transmission mechanism enters this pick-up unit when triggering laser sensor, control module obtain this bottle positional information, the while is finished the light source stroboscopic synchronously and camera is taken pictures.Image processor is handled in real time to captured image, judge whether bottleneck is qualified, defective information sent to control module, after control module receives defective information, by the calculating of interior location information, utilize eliminating system that this bottle is rejected in real time at assigned address.Device of the present utility model can be installed in before the bottle blowing machine; also can be installed in after the bottle blowing machine; if be installed in before the bottle blowing machine; this device can be discerned those defectiveness bottle embryos that are about to enter bottle blowing machine and those and can cause axle to load bad and damage the defectiveness bottle embryo of heating lamp; help control bottle embryo to enter bottle blowing machine; minimizing is stopped up and stop time by the bottle blowing machine that defectiveness bottle embryo causes; promote low-carbon economy; save labour and energy resource consumption; if be installed in after the bottle blowing machine; thereby this device can detect and reject the shaping bottle that exists the sealing surface defective to cause to leak after the can, improve production efficiency and product quality.
Description of drawings
Fig. 1 is a process chart of the present utility model;
Fig. 2 is a work synoptic diagram of the present utility model.
Embodiment
Device of the present utility model is by bottleneck pick-up unit, mechanical transmission mechanism, laser sensor, technical grade high-resolution camera system, industrial control computer and form based on the steady eliminating system of air pressure.From process chart of the present utility model shown in Figure 1 as can be seen, PET bottle or bottle embryo are through laser sensor, detecting the PET bottle arrives, by control module record bottle identification number, record current encoder signal, optical sensor notice camera is gathered current PE T bottle image, take pictures finish after, by image processor this image is handled, image processor passes to control module with its result, prepare to reject defective bottle, after control module received defective signal, the notice eliminating system was rejected the bottle of corresponding identification number.
Fig. 2 is a work synoptic diagram of the present utility model, bottleneck technical grade high-resolution camera system in the utility model is made up of camera 1 and coaxial and annular LED combined light source, adopt annular low angle light source, LED light-emitting particles and horizontal direction angle of inclination are between 30 °-60 °, employing prospect light polishing mode, with the outline line feature of bottleneck from extracting the background on every side.Camera 1 has the double bracket structure, can as much as possible reduce the vibrations of camera 1 under industrial environment, can guarantee the image that high-resolution is stable.When PET bottle 3 enters the bottleneck detecting unit by mechanical transmission mechanism, control module receives the trigger message of bottleneck 2 through laser sensor, output signal to stroboscopic controller trigger point bright light source by control module, the image pick-up card that receives trigger pip is simultaneously gathered the video analog signal of camera 3 outputs.Adopt the light source stroboscopic technique, laser photoelectricity and stroboscopic controller are used, when bottle triggered photoelectricity, light source reached brightness peak in the short time.The combination led light source is than the light source of all the other structures, has the advantage of uniform of throwing light under, the suitable situation of distance coaxial with camera, and we select is the visual field light source that has a bright future, and this light source helps finding the defective on high reflecting material surface.
Technological process of the present utility model has: location, image acquisition, Flame Image Process and rejecting.
The location: the PET bottle detects the PET bottle through laser sensor and arrives.
Image acquisition: control module obtains the positional information of bottle, and record bottle identification number, record current encoder signal are finished the light source stroboscopic simultaneously synchronously and camera is taken pictures, and gather current PE T bottle image.Collect set of diagrams as sequence, for each width of cloth image in the image sequence, it all is a two dimensional image array, in this pattern matrix, the pixel of carrying bottleneck image information is not all pixels of whole array image, and the relation of the pixel count of the speed of Flame Image Process own and processing is a directly proportional relation, and what we only paid close attention to is the feature of the pixel region of carrying bottleneck information in the image, so Flame Image Process is handled with regard to only being directed to this part target area.
Flame Image Process: by image processor the image of gathering is handled, the detailed process of each width of cloth treatment of picture in the sequence image of gathering is comprised:
1, image is carried out cutting apart of area-of-interest, area-of-interest is carried out the image pre-service.At first entire image is carried out suitable gain process,, be easy to observe so that clear picture is bright.Determine the threshold value of image binaryzation according to the grey level histogram of entire image, and it is carried out binaryzation, background and area-of-interest (bottleneck region) are tentatively cut apart; The round-shaped m of setting (value of m can be set as required) bar detection line with bottleneck on area-of-interest covers the contour area of bottleneck.Then with the contour area of bottleneck as area-of-interest, on detection line, continue suitable binaryzation.Subsequently, inside or outside along the direction of detection line, on every detection line, search shade of gray and change the point that reaches specified degree, form the array of a point, be designated as Points[m].
2, pretreated image is carried out graphical analysis and information extraction.Concrete steps are as follows:
1. detect the method for ovality defective:
With the some Points[m on the detection line] fit to a circle, and the ovality of checking this circle.Ovality is used for weighing bottleneck circularity, and the computing formula of ovality is:
Ovality=100* (maximum gauge-minimum diameter)/(maximum gauge+minimum diameter)
The ovality of overshoot thinks that promptly this product has the ovality defective, is unacceptable product.Wherein, the setting as required that " ovality of regulation " can be artificial.
Wherein, maximum gauge and minimum diameter are by from Points[m] the maximal value and the minimum value that draw in any 3 formation diameter of a circle.
2. detect the method for sealing defective:
On above-mentioned m bar detection line, search gray scale earlier along the direction of every detection line and just changing the point that reaches specified degree, be designated as PointsA[m], search the negative point that reaches specified degree that changes of gray scale again, be designated as PointsB[m].Wherein positive and negative variation refers to that respectively gray-scale value becomes big and gray-scale value diminishes.By PointsA[m] and PointsB[m] fit to a circle respectively and be designated as CircleA and CircleB, center of circle CenterA, the diameter DiameterA of CircleA and center of circle CenterB, the diameter DiameterB of CircleB obtained.Center of circle mid point with CircleA and CircleB is center of circle Center, is that inner and outer diameter forms an annulus with the diameter of CircleA and CircleB, is designated as Torus.Binaryzation is once more carried out in whole Torus zone, and the degree of binaryzation is can clear resolution defective being criterion.
Look into the white pixel on every detection line of number, be designated as White[m].From being numbered white pixel number on the 0th the detection line, search n (value of n can be set as required) bar detection line continuously, and summation Sum[m], promptly
Sum[i]=White[i]+White[i+1]+……+White[i+n](i=0,1,……,m)
Because the 0th detection line joins end to end with m bar detection line, the addition that can circulate is sued for peace.
With defectiveness the place and with entopic and make comparisons, when being less than normal value and reaching preset threshold, think to be the sealing defective herein.
Reject: set the defective criterion as required, judge whether the information of extracting reaches defective and judge requirement, image processor passes to control module with its result, and after control module received ovality defective and sealing defective, the notice eliminating system was rejected the bottle of corresponding identification number.
In sum, require to adjust above-mentioned each parameter value according to defects detection, if the information parameter of the fields of interest of extracting reaches our setting examination criteria, system is this image recognition defective image, to output signal to control module, and start device for eliminating unacceptable product is rejected.

Claims (3)

1. one kind is used for the device that the PET bottleneck quality detects, it is characterized in that: comprise the bottleneck pick-up unit, mechanical transmission mechanism, sensor, technical grade high-resolution camera system, image processor, industrial control computer and eliminating system, the PET bottle is arranged in the mechanical transmission mechanism, described technical grade high-resolution camera system is made up of camera (1) and LED combined light source, camera (1) is arranged on the top of PET bottleneck (2), PET bottle (3) is through sensor, sensor is connected with the LED combined light source with camera (1), camera (1) is connected with image processor, control module and sensor, image processor links to each other with eliminating system.
2. a kind of device that the PET bottleneck quality detects that is used for according to claim 1 is characterized in that: adopt annular low angle light source, prospect light polishing mode is adopted in LED light-emitting particles and horizontal direction angle of inclination between 30 °-60 °.
3. a kind of device that the PET bottleneck quality detects that is used for according to claim 1, it is characterized in that: sensor and stroboscopic controller are used, and when the PET bottle triggered sensor, light source reached brightness peak in moment.
CN2010201946624U 2010-05-19 2010-05-19 PET bottle mouth quality detection device Expired - Lifetime CN201689062U (en)

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Application Number Priority Date Filing Date Title
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Application Number Priority Date Filing Date Title
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101858734A (en) * 2010-05-19 2010-10-13 山东明佳包装检测科技有限公司 Method and device for detecting PET bottleneck quality
CN102519979A (en) * 2011-12-10 2012-06-27 山东明佳包装检测科技有限公司 Method for eliminating water drop influence in PET bottle detection and orientation
CN103063572A (en) * 2012-06-29 2013-04-24 惠州Tcl移动通信有限公司 Automatic on-line vision detecting and sorting system and sorting method
CN103529056A (en) * 2013-08-19 2014-01-22 姚春光 Glass crack detector
CN104390914A (en) * 2014-12-12 2015-03-04 天津普达软件技术有限公司 Light source system for visual inspection of green vial machine
CN104567714A (en) * 2013-10-15 2015-04-29 胡长华 Portable non-contact roundness measurement instrument
CN109883351A (en) * 2019-02-28 2019-06-14 重庆青年职业技术学院 Automatic assembling detection system

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101858734A (en) * 2010-05-19 2010-10-13 山东明佳包装检测科技有限公司 Method and device for detecting PET bottleneck quality
CN101858734B (en) * 2010-05-19 2011-06-29 山东明佳包装检测科技有限公司 Method for detecting PET bottleneck quality
CN102519979A (en) * 2011-12-10 2012-06-27 山东明佳包装检测科技有限公司 Method for eliminating water drop influence in PET bottle detection and orientation
CN102519979B (en) * 2011-12-10 2013-12-04 山东明佳包装检测科技有限公司 Method for eliminating water drop influence in PET bottle detection and orientation
CN103063572A (en) * 2012-06-29 2013-04-24 惠州Tcl移动通信有限公司 Automatic on-line vision detecting and sorting system and sorting method
CN103063572B (en) * 2012-06-29 2015-09-23 惠州Tcl移动通信有限公司 A kind of online vision detects the system of sorting and dressing method thereof automatically
CN103529056A (en) * 2013-08-19 2014-01-22 姚春光 Glass crack detector
CN104567714A (en) * 2013-10-15 2015-04-29 胡长华 Portable non-contact roundness measurement instrument
CN104390914A (en) * 2014-12-12 2015-03-04 天津普达软件技术有限公司 Light source system for visual inspection of green vial machine
CN109883351A (en) * 2019-02-28 2019-06-14 重庆青年职业技术学院 Automatic assembling detection system
CN109883351B (en) * 2019-02-28 2020-09-01 重庆青年职业技术学院 Automatic assembly detection system

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Granted publication date: 20101229

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