CN104523436A - Automatic capsule filling and detecting method based on machine vision - Google Patents
Automatic capsule filling and detecting method based on machine vision Download PDFInfo
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- CN104523436A CN104523436A CN201410815828.2A CN201410815828A CN104523436A CN 104523436 A CN104523436 A CN 104523436A CN 201410815828 A CN201410815828 A CN 201410815828A CN 104523436 A CN104523436 A CN 104523436A
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Abstract
The invention discloses an automatic capsule filling and detecting method based on machine vision. The method includes the following steps that a first photographic device is set to monitor a filling station, and when it is detected that capsules reach the filling station, a filling mechanism on the filling station is started to perform filling; according to a real-time monitoring result of the first photographic device, when the filling amount reaches a preset value, the filling mechanism is controlled to stop filling; a second photographic device is set to monitor a packaging station, and when the filled capsules reach the packaging station, a packaging mechanism is started to perform seal operations; a third photographic device is set to monitor a detection station, and when the sealed capsules reach the detection station, whether the capsules are qualified or not is analyzed and judged through capsule images shot by the third photographic device. According to the method, the first photographic device and the second photographic device are utilized to monitor filling and packaging of the capsules in real time, the stability of processing the capsules is improved beneficially, the error rate is lowered, uniformity of the quality of the capsules is guaranteed, the manual cost is lowered, and production efficiency is improved.
Description
Technical field
The present invention relates to capsule Canning Technique field, particularly relate to a kind of machine vision capsule auto-filling detection method.
Background technology
In pharmacy corporation, need to use a large amount of capsule for medicine.Capsule is generally made up of housing and powder or graininess medicine, and housing is as the container of medicine.In capsule manufacture process, have two requisite operations, be respectively material filling and encapsulation, material filling is circulated in housing by medicine, encapsulation be by material filling after housing carry out hermetically sealed.
At present, capsule manufacture has artificial and automatization's two kinds of modes, but no matter adopts which kind of mode, all there is many problems, cannot ensure the quality of capsule finished product in capsule manufacture.Such as, capsule fill location inaccuracy, easily spills housing by medicine, causes waste; The concordance of fill amount in different housings cannot be ensured, cause the medicine in capsule too much or very few, thus affect the property of medicine; Accurately cannot distinguish qualified capsule and defective capsule, need to increase and detect operation, add capsule testing cost.
Summary of the invention
Based on the technical problem that background technology exists, the present invention proposes a kind of machine vision capsule auto-filling detection method.
A kind of machine vision capsule auto-filling detection method that the present invention proposes, is provided with fill station, encapsulation station and detects station, and capsule carries out pouring into inserts, sealing and detection through fill station, encapsulation station and detection station successively; Specifically comprise the following steps:
Arrange the first camera head for monitoring fill station, when detecting that capsule arrives fill station, the filling mechanism started on fill station carries out fill;
According to the Real-Time Monitoring result of the first camera head, when fill amount reaches preset value, control filling mechanism and stop fill;
Second camera head being set for monitoring encapsulation station, when the capsule after fill arrives encapsulation station, starting packaging mechanism and carrying out seal operation;
Arranging the 3rd camera head for monitoring detection station, detecting station when the capsule after sealing arrives, by graphical analysis, the capsule image according to the 3rd camera head shooting judges that whether capsule is qualified.
Preferably, certified products blanking is carried out for the qualified capsule of detection; Defective work blanking is carried out for the underproof capsule of detection.
Preferably, presetting first with reference to fixing a point and the second reference fixed point, judging whether capsule arrives fill station, encapsulates station respectively by capsule and first in the image of analysis first camera head, the second camera head shooting with reference to the relative position of fixing a point, the second reference is fixed a point.
Preferably, encapsulation station and detection station unite two into one, and the second camera head and the 3rd camera head are realized by same camera head.
Preferably, fill amount is judged relative to the height of capsule bottom by monitoring inserts material level line.
In the present invention, carry out the monitoring of fill station by the first camera head, the capsule on filling mechanism None-identified fill station effectively can be avoided to install incorrect, thus material filling is carried out to the capsule of abnormal installation, cause capsule material filling abnormal, the situation such as cause that medicine spills.In addition, by the monitoring of the first camera head to fill amount, also can avoid the situation that capsule material filling is too much or very few, be conducive to ensureing the consistent of the capsule property of medicine.
In the present invention, carry out the monitoring of encapsulation station by the second camera head, the capsule abnormal conditions on packaging mechanism None-identified encapsulation station can be avoided, thus avoid the capsule of packaging mechanism to incorrect installation to encapsulate, produce defective capsule, lose time and raw material.Meanwhile, also can carry out qualification detection according to the image of the 3rd camera head shooting to the capsule encapsulated, ensure the quality of the final capsule obtained.
In the present invention, utilize the first camera head and the second camera head to carry out the Real-Time Monitoring of capsule fill, encapsulation, be conducive to provide the stability of capsule processing, reduce fault rate, ensure the concordance of capsule quality, reduce cost of labor, enhance productivity.
Accompanying drawing explanation
Fig. 1 is a kind of machine vision capsule auto-filling detection method flow chart that the present invention proposes.
Detailed description of the invention
Reference Fig. 1, a kind of machine vision capsule auto-filling detection method that the present invention proposes, is provided with fill station, encapsulation station and detects station, and capsule carries out pouring into inserts, sealing and detection through fill station, encapsulation station and detection station successively.
The capsule auto-filling detection method that present embodiment provides specifically comprises the following steps:
Step one, arrange the first camera head for monitoring fill station, when detecting that capsule arrives fill station, the filling mechanism started on fill station carries out fill.
In this step, be preset with first with reference to fixed point, judge whether capsule arrives fill station by capsule in the image of analyzing the first camera head shooting with the first reference relative position of fixing a point.
The monitoring of fill station is carried out by the first camera head in this step, the capsule on filling mechanism None-identified fill station can be effectively avoided to install incorrect, thus material filling is carried out to the capsule of abnormal installation, cause capsule material filling abnormal, the situation such as cause that medicine spills.
Step 2, Real-Time Monitoring result according to the first camera head, when fill amount reaches preset value, control filling mechanism and stop fill.
In this step, fill amount is judged relative to the height of capsule bottom by monitoring inserts material level line, when inserts material level line reaches preset height, controls filling mechanism and stops fill.So, the situation that capsule material filling is too much or very few can be avoided, be conducive to ensureing the consistent of the capsule property of medicine.
Step 3, the second camera head being set for monitoring encapsulation station, when the capsule after fill arrives encapsulation station, starting packaging mechanism and carrying out seal operation.
In this step, be preset with second with reference to fixed point, judge whether capsule arrives encapsulation station by capsule in the image of analyzing the second camera head shooting with the second reference relative position of fixing a point.
In this step, carry out the monitoring of encapsulation station by the second camera head, the capsule abnormal conditions on packaging mechanism None-identified encapsulation station can be avoided, thus avoid the capsule of packaging mechanism to incorrect installation to encapsulate, produce defective capsule, lose time and raw material.
Step 4, arranging the 3rd camera head for monitoring detection station, detecting station when the capsule after sealing arrives, by graphical analysis, the capsule image according to the 3rd camera head shooting judges that whether capsule is qualified.
In present embodiment, encapsulation station and detection station unite two into one, and the second camera head and the 3rd camera head are realized by same camera head.So, when capsule is after encapsulation station completes encapsulation, the capsule image after the second camera head Real-time Collection encapsulation is as judging the foundation whether capsule is qualified.In present embodiment, detect station and encapsulate uniting two into one of station, being conducive to the real-time improving capsule detection, and being conducive to reducing capsule testing cost.
Step 5, certified products blanking is carried out for the qualified capsule of detection; Defective work blanking is carried out for the underproof capsule of detection.
In this step, arrange the first cutting agency and the second cutting agency, the first cutting agency is used for defective work blanking, and the second cutting agency is used for certified products blanking.
The above; be only the present invention's preferably detailed description of the invention; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.
Claims (5)
1. a machine vision capsule auto-filling detection method, is characterized in that, is provided with fill station, encapsulation station and detects station, and capsule carries out pouring into inserts, sealing and detection through fill station, encapsulation station and detection station successively; Specifically comprise the following steps:
Arrange the first camera head for monitoring fill station, when detecting that capsule arrives fill station, the filling mechanism started on fill station carries out fill;
According to the Real-Time Monitoring result of the first camera head, when fill amount reaches preset value, control filling mechanism and stop fill;
Second camera head being set for monitoring encapsulation station, when the capsule after fill arrives encapsulation station, starting packaging mechanism and carrying out seal operation;
Arranging the 3rd camera head for monitoring detection station, detecting station when the capsule after sealing arrives, by graphical analysis, the capsule image according to the 3rd camera head shooting judges that whether capsule is qualified.
2. machine vision capsule auto-filling detection method as claimed in claim 1, is characterized in that, carries out certified products blanking for the qualified capsule of detection; Defective work blanking is carried out for the underproof capsule of detection.
3. machine vision capsule auto-filling detection method as claimed in claim 1, it is characterized in that, presetting first with reference to fixing a point and the second reference fixed point, judging whether capsule arrives fill station, encapsulates station respectively by capsule and first in the image of analysis first camera head, the second camera head shooting with reference to the relative position of fixing a point, the second reference is fixed a point.
4. machine vision capsule auto-filling detection method as claimed in claim 1, is characterized in that, encapsulation station and detection station unite two into one, and the second camera head and the 3rd camera head are realized by same camera head.
5. the machine vision capsule auto-filling detection method as described in any one of Claims 1-4, is characterized in that, fill amount is judged relative to the height of capsule bottom by monitoring inserts material level line.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410815828.2A CN104523436A (en) | 2014-12-23 | 2014-12-23 | Automatic capsule filling and detecting method based on machine vision |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410815828.2A CN104523436A (en) | 2014-12-23 | 2014-12-23 | Automatic capsule filling and detecting method based on machine vision |
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| CN104523436A true CN104523436A (en) | 2015-04-22 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201410815828.2A Pending CN104523436A (en) | 2014-12-23 | 2014-12-23 | Automatic capsule filling and detecting method based on machine vision |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106550233A (en) * | 2016-11-29 | 2017-03-29 | 芜湖赋兴光电有限公司 | Camera chip toasts detection means |
| CN109433641A (en) * | 2018-09-30 | 2019-03-08 | 南通大学 | The filling omission intelligent detecting method of tablet capsule based on machine vision |
| CN111250429A (en) * | 2020-01-15 | 2020-06-09 | 深圳市太赫兹科技创新研究院有限公司 | Method and device for detecting sealing defects |
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| CN2516276Y (en) * | 2001-10-18 | 2002-10-16 | 广得利胶囊股份有限公司 | Caterpillar automatic capsule/pastille separation machine |
| JP2005053133A (en) * | 2003-08-06 | 2005-03-03 | Nichiha Corp | Surface coated woody fiberboard and its manufacturing method |
| WO2011131521A1 (en) * | 2010-04-22 | 2011-10-27 | Robert Bosch Gmbh | Device for filling and closing capsules filled with at least one filler |
| CN102596148A (en) * | 2009-10-19 | 2012-07-18 | 罗伯特·博世有限公司 | Sensor device for a packaging machine designed as a capsule filling and sealing machine or for a capsule control device |
| CN202342471U (en) * | 2011-10-15 | 2012-07-25 | 四川制药制剂有限公司 | Full-automatic capsule filling machine with monitoring device |
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- 2014-12-23 CN CN201410815828.2A patent/CN104523436A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2516276Y (en) * | 2001-10-18 | 2002-10-16 | 广得利胶囊股份有限公司 | Caterpillar automatic capsule/pastille separation machine |
| JP2005053133A (en) * | 2003-08-06 | 2005-03-03 | Nichiha Corp | Surface coated woody fiberboard and its manufacturing method |
| CN102596148A (en) * | 2009-10-19 | 2012-07-18 | 罗伯特·博世有限公司 | Sensor device for a packaging machine designed as a capsule filling and sealing machine or for a capsule control device |
| WO2011131521A1 (en) * | 2010-04-22 | 2011-10-27 | Robert Bosch Gmbh | Device for filling and closing capsules filled with at least one filler |
| CN202342471U (en) * | 2011-10-15 | 2012-07-25 | 四川制药制剂有限公司 | Full-automatic capsule filling machine with monitoring device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106550233A (en) * | 2016-11-29 | 2017-03-29 | 芜湖赋兴光电有限公司 | Camera chip toasts detection means |
| CN109433641A (en) * | 2018-09-30 | 2019-03-08 | 南通大学 | The filling omission intelligent detecting method of tablet capsule based on machine vision |
| CN111250429A (en) * | 2020-01-15 | 2020-06-09 | 深圳市太赫兹科技创新研究院有限公司 | Method and device for detecting sealing defects |
| CN111250429B (en) * | 2020-01-15 | 2023-08-25 | 深圳市太赫兹科技创新研究院有限公司 | Method and device for detecting sealing defect |
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Application publication date: 20150422 |
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