CN104122265A - Method and system for checking screw hole thread missing of metal plate - Google Patents
Method and system for checking screw hole thread missing of metal plate Download PDFInfo
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- CN104122265A CN104122265A CN201310154924.2A CN201310154924A CN104122265A CN 104122265 A CN104122265 A CN 104122265A CN 201310154924 A CN201310154924 A CN 201310154924A CN 104122265 A CN104122265 A CN 104122265A
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Abstract
The invention discloses a method and a system for checking whether a metal stamping part is provided with screw hole threads or not. The method comprises the following steps: (1) putting a workpiece into a vibration disc, vibrating the vibration disc, meanwhile powering on a conveyer belt, and conveying the workpiece to be detected to a detection area through the conveyer belt when the workpiece to be detected is conveyed out from a discharge hole of the vibration disc; (2) taking images of the workpiece simultaneously through a screw hole diameter checking camera and a screw hole light reflection amount checking camera, respectively transmitting the taken images to each video decoder, decoding the images and feeding the decoded images into an image processing chip; (3) processing and analyzing the received images, extracting to-be-compared characteristics of the workpiece to be detected, and comparing the to-be-compared characteristics with characteristics of a normal workpiece template; and (4) if the comparison result is normal, the workpiece is qualified, and if the comparison result is abnormal, stopping and alarming. By adopting the method and the system, whether the metal stamping part is provided with screw hole threads or not can be rapidly and accurately judged, the operation is convenient, the price is low, and the misjudgment rate is low.
Description
Technical field
The present invention relates to a kind of method and system thereof that checks whether metal plate punching part screw hole screw thread exists, the Embedded Image Processing System that specifically on a kind of judgement metal plate punching part based on computer vision technique, tapping hole screw thread has or not.
Background technology
Feature frivolous, even, that intensity is high and precision is high, processing cost is low, specification is consistent that metal plate punching part has, is widely used in the every field in productive life, such as instrument and meter, household electrical appliances, office machinery, auto parts machinery, ornament materials etc.Assembling to metal plate punching part, more adopts the screw hole connected mode of on stamping parts punching tapping, and the screw thread that this mode processes is very tiny, judges whether it processes very difficult.Traditional inspection method is to utilize artificial visual inspection, and so not only working strength is large, and as easy as rolling off a log appearance erroneous judgement.There is in recent years utilizing vision system, by measure threaded hole area light reflection amount number as the foundation that judges whether threaded hole exists, the reflective amount in threaded hole is many, the reflective amount in threadless hole is few.Set a threshold value, be greater than the screw thread that has been judged to be of threshold value, be less than being judged to be without screw thread of threshold value.There are two shortcomings in such mode: one, utilize merely the mode False Rate of reflective amount very high, because the reflective amount in indivedual threaded holes seldom, and reflective amount is a lot of on the contrary in indivedual threadless hole; Two, cost is higher.Vision system often has a lot of functions, and user is necessary for a use function wherein, adds up the function of reflective amount, and is that whole system is checked.
Summary of the invention
The technical problem to be solved in the present invention is to judge at present whether metal plate punching part screw hole screw thread processes comparatively difficulty, workload is large, False Rate is high, cost is higher, and a kind of cheap, easy to operate, panel beating screw hole screw thread disappearance inspection method and system thereof that False Rate is low are provided.
For achieving the above object, the present invention adopts following technical proposals: a kind of panel beating screw hole screw thread disappearance inspection method, and it comprises the following steps: (1) puts into the workpiece of examine in the hopper of vibrating disk, presses start button, vibrating disk starts vibration, simultaneously travelling belt entry into service; When workpiece to be detected starts to send from the discharging opening of vibrating disk, travelling belt is transported to surveyed area by workpiece, at this moment, and travelling belt operation suspension; (2) workpiece for measurement enters after surveyed area, the reflective amount inspection of screw hole diameter inspection camera and screw hole camera is taken pictures to workpiece simultaneously, and the image of the gained of taking pictures is sent to respectively in each Video Decoder, each Video Decoder is sent in picture processing chip after image is decoded; (3) picture processing chip is processed and is analyzed the image receiving, and extracts the feature to be compared of workpiece for measurement, and feature to be compared and the feature of normal workpiece template are compared; (4) if comparison result is normal, workpiece is qualified, and equipment works on, abnormal if comparison result occurs, sends equipment stop signal and reports to the police.
The template of described normal workpiece obtains in the following manner: to normal workpiece, adopt classification mode method to identify, described classification mode is neural network classifier.
Described picture processing chip is processed and is analyzed the image receiving, and wherein the processing of image is comprised: any one in image noise reduction processing, image histogram equilibrium or image sharpening.
Described image noise reduction is processed and is referred to: the picture noise of removing salt-pepper noise kind by the method for medium filtering or average value filtering pollutes; In image sharpening, adopt mask convolution and frequency domain filtering method.
A kind of panel beating screw hole screw thread disappearance check system, it comprises that the threaded hole diameter that workpiece to be detected (11) is taken pictures checks that camera and the reflective amount of threaded hole check camera, and described threaded hole diameter inspection camera and the reflective amount inspection of threaded hole camera are sent the picture of shooting into respectively the Video Decoder in overhead control case
and Video Decoder
in, Video Decoder
and Video Decoder
be connected with picture processing chip, picture processing chip connects MCU, and MCU is connected with storer, man-machine interface, approach switch sensor, vibrating disk and travelling belt.
The equal andlogic control module of each described Video Decoder, crystal oscillator, power supply and corresponding inspection camera are connected.
Described storer adopts FLASH and SRAM, and SRAM is that picture processing chip and MCU share.
Described MCU is connected with the light source that irradiates workpiece for measurement, and light source is at least a LED.
Described MCU is connected with alarm, and alarm is three look audible-visual annunciators.
Adopt the present invention of technique scheme, can judge fast and accurately whether metal plate punching part screw hole screw thread exists, easy to operate, cheap, False Rate is low.
Accompanying drawing explanation
Fig. 1 is device structure schematic diagram of the present invention.
Fig. 2 is that overhead control case built-in system of the present invention forms schematic diagram.
Fig. 3 is main program flow chart of the present invention.
Fig. 4 is that the present invention checks algorithm flow chart.
Fig. 5 is that the present invention uses process flow diagram.
Embodiment
The present invention is a kind of panel beating screw hole screw thread disappearance inspection method, and it comprises the following steps: (1) puts into the workpiece of examine in the hopper of vibrating disk, presses start button, and vibrating disk starts vibration, simultaneously travelling belt entry into service; When workpiece to be detected starts to send from the discharging opening of vibrating disk, travelling belt is transported to surveyed area by workpiece, at this moment, and travelling belt operation suspension; (2) workpiece for measurement enters after surveyed area, the reflective amount inspection of screw hole diameter inspection camera and screw hole camera is taken pictures to workpiece simultaneously, and the image of the gained of taking pictures is sent to respectively in each Video Decoder, each Video Decoder is sent in picture processing chip after image is decoded; (3) picture processing chip is processed and is analyzed the image receiving, and extracts the feature to be compared of workpiece for measurement, and feature to be compared and the feature of normal workpiece template are compared; (4) if comparison result is normal, workpiece is qualified, and equipment works on, abnormal if comparison result occurs, sends equipment stop signal and reports to the police.
The template of described normal workpiece obtains in the following manner: to normal workpiece, adopt classification mode method to identify, described classification mode is neural network classifier.
Described picture processing chip is processed and is analyzed the image receiving, and wherein the processing of image is comprised: any one in image noise reduction processing, image histogram equilibrium or image sharpening.
Described image noise reduction is processed and is referred to: the picture noise of removing salt-pepper noise kind by the method for medium filtering or average value filtering pollutes; Image sharpening adopts mask convolution and frequency domain filtering method.
As depicted in figs. 1 and 2, the present invention includes a kind of panel beating screw hole screw thread disappearance check system, it comprises that the threaded hole diameter that workpiece 11 to be detected is taken pictures checks that camera 3 and the reflective amount of threaded hole check camera 4, and described threaded hole diameter inspection camera 3 and the reflective amount inspection of threaded hole camera 4 are sent the picture of shooting into respectively the Video Decoder in overhead control case 2
and Video Decoder
in, Video Decoder
and Video Decoder
be connected with picture processing chip, picture processing chip connects MCU, and MCU is connected with storer, man-machine interface, approach switch sensor, vibrating disk and travelling belt.
The equal andlogic control module of each described Video Decoder, crystal oscillator, power supply and corresponding inspection camera are connected.
Described storer adopts FLASH and SRAM, and SRAM is that picture processing chip and MCU share.
Described MCU is connected with the light source 6 that irradiates workpiece for measurement, and light source 6 is at least a LED, and the illuminating ray that provides camera to need, need to adopt a plurality of LED according to actual conditions conventionally.
Described MCU is connected with alarm 5, and alarm 5 is three look audible-visual annunciators.
Threaded hole diameter checks that camera 3 is that the diameter of the threaded hole of the workpiece to be detected 11 of arrival surveyed area 10 is checked.Its process is from taking the picture that arrives surveyed area workpiece directly over vertical workpiece, and picture is sent to overhead control case 2 does further image and process.
The reflective amount of threaded hole checks that camera 4 is that the reflective amount of the threaded hole of the workpiece to be detected 11 of arrival surveyed area 10 is checked.Its process is to photograph from workpiece side the picture that reaches surveyed area workpiece, and picture is sent to overhead control case 2 does further image and process.
Vibrating disk 7 is a kind ofly automatically workpiece 11 to be detected to be transported to the device on travelling belt 9, need be according to different types of workpiece specific customization.Its principle of work is: below vibrating disk hopper, have individual impulse mgnet, can make hopper make vertical vibration, by the spring leaf tilting, drive hopper to rock vibration around its Z-axis.Workpiece in hopper, rises along helical orbit owing to being subject to this vibration.Screening or attitude through a series of tracks in the process rising change, and workpiece can be on request unified state and automatically enter travelling belt 9.
Travelling belt 9 drives its running by stepper motor 8.When a workpiece enters into detection position, stepper motor 8 suspends rotation, and now travelling belt is static, completes workpiece screw hole and detects.When workpiece screw hole is qualified, stepper motor is rotated further, and makes next workpiece enter surveyed area and continues to detect.If workpiece is defective, stepper motor is no longer rotated further, and three look audible-visual annunciators are become the redness of abnormality by the green of normal condition simultaneously, and send chimes of doom.
Below in conjunction with Fig. 3, Fig. 4, Fig. 5, the present invention is described further:
As shown in Figure 5, need first equipment to carry out integral body inspection before use, the scope of examination comprises: watch whether exact connect ion of power lead and signal wire, especially whether power lead has broken skin, checks whether motor and the circuit of vibrating disk 7 and travelling belt 9 has the part of burning.Whether checkout facility all parts and screw have loosening phenomenon.If all are normal, can open device power supply (DPS), enter user pattern is set.
Take a sample workpiece to be checked to be put into surveyed area, regulate light source 6, screw hole diameter to check that camera 3 and the reflective amount of screw hole check the position of camera 4, make the sample workpiece of demonstration on monitor 1 the most clear.
User arranges under pattern, the classification mode adopting due to the present invention is neural network classifier, belong to the classification that has supervision, therefore the to the effect that training classifier that user need arrange, concrete operations are: prepare a large amount of qualified workpiece and defective workpiece, workpiece is placed into surveyed area 10 one by one.Place after qualified workpiece, after system is extracted screw hole diameter and anti-light amount information, work status is set to qualified, place after defective workpiece, after system is extracted screw hole diameter and anti-light amount information, work status is set to defective, completes the setting of criterion.
The workpiece of examine is put into the hopper of vibrating disk 7, pressed start button, vibrating disk 7 starts vibration, simultaneously travelling belt 9 entrys into service.When workpiece to be detected starts to send from the discharging opening of vibrating disk 7, travelling belt 9 is transported to surveyed area 10 by workpiece, at this moment, and travelling belt 9 operation suspensions, the reflective amount inspection of screw hole diameter inspection camera 3 and screw hole camera 4 is taken workpiece simultaneously, and two pictures that obtain are sent to overhead control case 2.
Fig. 4 is the detection algorithm process flow diagram of two pictures of 2 pairs of same workpiece that obtain of overhead control case, at overhead control case, successfully reads after two pictures, and two pictures that obtain are processed, and object is to lay the first stone for carrying out better subsequent characteristics extraction and identification.Processing to image specifically comprises: image noise reduction is processed, and the picture noise of removing the kinds such as salt-pepper noise by methods such as medium filtering, average value filterings pollutes; Image histogram is balanced, and making original image histogram transformation is to have the histogram that uniform density distributes, and is obtained the global contrast of image to increase; Image sharpening, by the method for mask convolution and frequency domain filtering, strengthens the edge of image and the part of Gray Level Jump, makes image become clear.
After processing finishes, extract screw hole diameter and check that the screw hole diameter data of camera 3 workpiece in image that obtains and the reflective amount of screw hole check the camera 4 reflective amount data of the screw hole of workpiece in image that obtain, and by these two kinds of information fusion to data structures, differentiate in array.
The nearest neighbor classifier that utilization is trained under user model, carries out pattern classification to differentiating array, obtains the judgement of workpiece acceptance or rejection to be checked.
When workpiece is certified products, again make travelling belt running, allow next workpiece enter surveyed area, repeat above-mentioned steps and carry out the detection of a new round.When workpiece is unacceptable product, travelling belt no longer continues operation, suspends vibrating disk, and three look audible-visual annunciators flash the redlight simultaneously, send chimes of doom.Until press after reset key, detect and just proceed.
Claims (9)
1. a panel beating screw hole screw thread disappearance inspection method, is characterized in that: it comprises the following steps: (1) puts into the workpiece of examine in the hopper of vibrating disk, presses start button, and vibrating disk starts vibration, simultaneously travelling belt entry into service; When workpiece to be detected starts to send from the discharging opening of vibrating disk, travelling belt is transported to surveyed area by workpiece, at this moment, and travelling belt operation suspension; (2) workpiece for measurement enters after surveyed area, the reflective amount inspection of screw hole diameter inspection camera and screw hole camera is taken pictures to workpiece simultaneously, and the image of the gained of taking pictures is sent to respectively in each Video Decoder, each Video Decoder is sent in picture processing chip after image is decoded; (3) picture processing chip is processed and is analyzed the image receiving, and extracts the feature to be compared of workpiece for measurement, and feature to be compared and the feature of normal workpiece template are compared; (4) if comparison result is normal, workpiece is qualified, and equipment works on, abnormal if comparison result occurs, sends equipment stop signal and reports to the police.
2. panel beating screw hole screw thread according to claim 1 lacks inspection method, it is characterized in that: the template of described normal workpiece obtains in the following manner: to normal workpiece, adopt classification mode method to identify, described classification mode is neural network classifier.
3. panel beating screw hole screw thread according to claim 1 lacks inspection method, it is characterized in that: described picture processing chip is processed and analyzed the image receiving, and wherein the processing of image is comprised: any one in image noise reduction processing, image histogram equilibrium or image sharpening.
4. panel beating screw hole screw thread disappearance inspection method according to claim 3, is characterized in that: described image noise reduction is processed and referred to: the picture noise of removing salt-pepper noise kind by the method for medium filtering or average value filtering pollutes; In image sharpening, adopt mask convolution and frequency domain filtering method.
5. a panel beating screw hole screw thread lacks check system, it is characterized in that: it comprises that the threaded hole diameter that workpiece to be detected (11) is taken pictures checks that camera (3) and the reflective amount of threaded hole check camera (4), and described threaded hole diameter inspection camera (3) and the reflective amount inspection camera of threaded hole (4) are sent the picture of shooting into respectively the Video Decoder in overhead control case (2)
and Video Decoder
in, Video Decoder
and Video Decoder
be connected with picture processing chip, picture processing chip connects MCU, and MCU is connected with storer, man-machine interface, approach switch sensor, vibrating disk and travelling belt.
6. panel beating screw hole screw thread disappearance check system according to claim 5, is characterized in that: the equal andlogic control module of each described Video Decoder, crystal oscillator, power supply and corresponding inspection camera are connected.
7. panel beating screw hole screw thread disappearance check system according to claim 5, is characterized in that: described storer adopts FLASH and SRAM, and SRAM is that picture processing chip and MCU share.
8. panel beating screw hole screw thread disappearance check system according to claim 5, is characterized in that: described MCU is connected with the light source (6) that irradiates workpiece for measurement, and light source (6) is at least a LED.
9. panel beating screw hole screw thread disappearance check system according to claim 5, is characterized in that: described MCU is connected with alarm (5), and alarm (5) is three look audible-visual annunciators.
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| CN201310154924.2A CN104122265B (en) | 2013-04-28 | 2013-04-28 | Panel beating screw hole screw thread disappearance inspection method and system thereof |
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|---|---|---|---|
| CN201310154924.2A CN104122265B (en) | 2013-04-28 | 2013-04-28 | Panel beating screw hole screw thread disappearance inspection method and system thereof |
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| CN104122265A true CN104122265A (en) | 2014-10-29 |
| CN104122265B CN104122265B (en) | 2016-12-28 |
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Cited By (12)
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| CN104990511A (en) * | 2015-07-21 | 2015-10-21 | 苏州佳祺仕信息科技有限公司 | Threaded hole structure quality detection method |
| CN105466336A (en) * | 2015-12-25 | 2016-04-06 | 格兰达技术（深圳）有限公司 | Metal plate visual detection machine applicable to industrial production and detection method for same |
| CN105783730A (en) * | 2016-03-01 | 2016-07-20 | 珠海格力电器股份有限公司 | Screw detection method, device and system and detection machine |
| CN107741606A (en) * | 2017-08-31 | 2018-02-27 | 江苏宜润智能装备产业创新研究院有限公司 | A kind of plastics hot riveting assembling monitoring method and device |
| CN108593653A (en) * | 2017-12-31 | 2018-09-28 | 芜湖哈特机器人产业技术研究院有限公司 | A kind of screw classification of view-based access control model and damage detection device and method |
| CN109520553A (en) * | 2018-11-14 | 2019-03-26 | 深圳市铭利达精密机械有限公司 | A kind of threaded hole Laser scanning inspection device |
| CN110434678A (en) * | 2019-07-25 | 2019-11-12 | 上海拓璞数控科技股份有限公司 | Metal foil wall pieces thickness real-time detecting system and method |
| CN111551552A (en) * | 2020-05-18 | 2020-08-18 | 湘潭大学 | Appearance quality detection method for circular hole punching net |
| WO2021036663A1 (en) * | 2019-04-26 | 2021-03-04 | 深圳市豪视智能科技有限公司 | Method for detecting anomaly of fixed screw for device, and related products |
| CN112845136A (en) * | 2021-01-29 | 2021-05-28 | 珠海迪沃航空工程有限公司 | Intelligent correction, detection and classification device and method for aircraft engine bolt |
| CN113319378A (en) * | 2020-02-28 | 2021-08-31 | 高桥金属制品（苏州）有限公司 | Full-automatic tapping and conveying method of integrated assembly line |
| CN115575158A (en) * | 2022-10-08 | 2023-01-06 | 江阴市浩盛电器线缆制造有限公司 | Low-loss phase-stable coaxial cable layered structure layout judgment system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104990511A (en) * | 2015-07-21 | 2015-10-21 | 苏州佳祺仕信息科技有限公司 | Threaded hole structure quality detection method |
| CN105466336A (en) * | 2015-12-25 | 2016-04-06 | 格兰达技术（深圳）有限公司 | Metal plate visual detection machine applicable to industrial production and detection method for same |
| CN105466336B (en) * | 2015-12-25 | 2018-09-18 | 深圳格兰达智能装备股份有限公司 | One kind being suitable for industrial metal plate vision testing machine and its detection method |
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| CN105783730B (en) * | 2016-03-01 | 2018-08-07 | 珠海格力电器股份有限公司 | Detection method, device, system and the detection machine of screw |
| CN107741606A (en) * | 2017-08-31 | 2018-02-27 | 江苏宜润智能装备产业创新研究院有限公司 | A kind of plastics hot riveting assembling monitoring method and device |
| CN107741606B (en) * | 2017-08-31 | 2019-02-22 | 江苏宜润智能装备产业创新研究院有限公司 | A kind of plastics hot riveting assembling monitoring method and device |
| CN108593653A (en) * | 2017-12-31 | 2018-09-28 | 芜湖哈特机器人产业技术研究院有限公司 | A kind of screw classification of view-based access control model and damage detection device and method |
| CN109520553A (en) * | 2018-11-14 | 2019-03-26 | 深圳市铭利达精密机械有限公司 | A kind of threaded hole Laser scanning inspection device |
| WO2021036663A1 (en) * | 2019-04-26 | 2021-03-04 | 深圳市豪视智能科技有限公司 | Method for detecting anomaly of fixed screw for device, and related products |
| CN110434678A (en) * | 2019-07-25 | 2019-11-12 | 上海拓璞数控科技股份有限公司 | Metal foil wall pieces thickness real-time detecting system and method |
| CN113319378A (en) * | 2020-02-28 | 2021-08-31 | 高桥金属制品（苏州）有限公司 | Full-automatic tapping and conveying method of integrated assembly line |
| CN111551552A (en) * | 2020-05-18 | 2020-08-18 | 湘潭大学 | Appearance quality detection method for circular hole punching net |
| CN111551552B (en) * | 2020-05-18 | 2023-06-13 | 湘潭大学 | Appearance quality detection method for round hole punching net |
| CN112845136A (en) * | 2021-01-29 | 2021-05-28 | 珠海迪沃航空工程有限公司 | Intelligent correction, detection and classification device and method for aircraft engine bolt |
| CN115575158A (en) * | 2022-10-08 | 2023-01-06 | 江阴市浩盛电器线缆制造有限公司 | Low-loss phase-stable coaxial cable layered structure layout judgment system and method |
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