CN202256185U - Paper container defect detection equipment based on machine vision - Google Patents
Paper container defect detection equipment based on machine vision Download PDFInfo
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- CN202256185U CN202256185U CN2011203383835U CN201120338383U CN202256185U CN 202256185 U CN202256185 U CN 202256185U CN 2011203383835 U CN2011203383835 U CN 2011203383835U CN 201120338383 U CN201120338383 U CN 201120338383U CN 202256185 U CN202256185 U CN 202256185U
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- machine vision
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Abstract
The utility model relates to paper container defect detection equipment based on machine vision. The equipment is arranged on a transmission production line, and characterized by comprising a coder, at least one set of picture collecting mechanisms, at least one set of lighting sources, a computer, a display and a rejecting device, wherein the coder is arranged on a drive sprocket axle in the production line; the picture collecting mechanism is arranged on or at the side of the production line, and connected with the coder; the lighting source is mounted on or at the side or blow the production line, and located at 0 to 180 degrees to the surface of the paper container to detected; the rejecting device is mounted at the rear end of the production line; and the computer is respectively connected with the picture collecting mechanism, the display and the rejecting device. The defect detection equipment disclosed by the utility model has high detection efficiency, fast speed, and good precision, and is capable of storing the information of the product in production by the computer so as to manage by the enterprise conveniently.
Description
Technical field
The utility model relates to a kind of paper container defects detection equipment based on machine vision, adopts the defect information on digital image processing techniques identification paper container surface.
Background technology
Along with the ever-increasing demand to quality and quick production, it is more and more important that visual testing and product mark are just becoming.Its reason is self-evident: reduce unacceptable product quantity, qualified product is provided.These requirements are derived from ISO9000 standard or other products responsibility regulation.Manual visual testing and product labelling are too expensive.Mean unnatural monotonous work simultaneously.Make the throughput rate sustainable growth and also more and more can not carry out hand test again.Here, digital image processing techniques provide these solutions.
Have the defect information of identification paper container inside surface now, comprise the defect information of breakage, greasy dirt, impurity, stain, rust staining, hole etc., all adopt the artificial visually examine.Not only efficient is low for this method, speed slow but also poor accuracy.Paper container generally comprises disposable water cup, goblet, food cup etc., is the product that directly contacts with the people.In case substandard product comes into the market, harm is very large.
The utility model content
The utility model technical matters to be solved is to overcome deficiency of the prior art and a kind of paper container defects detection equipment based on machine vision is provided; The utility model detection efficiency is high, speed is fast, accuracy good; And the information that can preserve the production run product through computing machine, be convenient to business administration.
The technical scheme that the utility model solves the problems of the technologies described above employing is: should be based on the paper container defects detection equipment of machine vision; Be arranged on and carry on the streamline; It is characterized in that: comprise irradiation source before scrambler, at least one cover IMAQ mechanism, at least one cover, computing machine, display, device for eliminating; Described scrambler is arranged on the drive sprocket axle of streamline, and IMAQ mechanism is arranged on streamline top or side, and is connected mutually with scrambler; Preceding irradiation source is arranged on top or the side or the below of streamline; Preceding irradiation source and paper container surface to be checked are 0 degree ~ 180 degree, and device for eliminating is arranged on the tail end of streamline, and computing machine is connected with IMAQ mechanism, display, device for eliminating respectively.
The irradiation source preferably was 45 degree ~ 135 degree with paper container surface to be checked before the utility model was described, and best angle is 90 degree.
The described IMAQ of the utility model mechanism is analogue camera, digital intelligent camera, line-scan digital camera or area array cameras.
The utility model compared with prior art has the following advantages: the scrambler in the utility model triggers IMAQ mechanism images acquired through pulse signal.The paper container light transmission is bad, can only adopt preceding irradiation, the clear image that obtains like this, and current irradiation source and paper container surface to be checked is 90 when spending, and whole imaging effect is the most clear.Store the image processing software that is used for the identified surface defective in the computing machine; The paper container surface image that IMAQ mechanism will obtain is transferred to computing machine; Computing machine carries out analyzing and processing to the image that collects; And, judge whether product to be detected is qualified according to the standard value of predefined defect kind with size.To substandard product, the computer drives device for eliminating is rejected.Simultaneous computer also is presented at pictorial information that collects and defective data on the display with above-mentioned pictorial information and defective data on the hard disk that is stored into computing machine of classifying in real time.The utility model replaces manual detection, and speed is fast,, precision is high, and flase drop not can be tired.
Description of drawings
Fig. 1 is the utility model syndeton synoptic diagram.
Fig. 2 is the utility model principle of work synoptic diagram.
Embodiment
Referring to Fig. 1 ~ Fig. 2, the utility model comprises scrambler 1, at least one cover IMAQ mechanism 2, irradiation source 3 before at least one, computing machine 4, a display 5 and a device for eliminating 6.IMAQ mechanism 2 can be analogue camera, digital intelligent camera, line-scan digital camera, area array cameras.
Described scrambler 1 is arranged on the drive sprocket axle of streamline 7; IMAQ mechanism 2 is arranged on streamline 7 tops or side; And be connected mutually with scrambler 1, preceding irradiation source 3 is arranged on top or the side or the below of streamline 7, and preceding irradiation source 3 is 0 degree ~ 180 degree with paper container surface to be checked; Before irradiation source 3 is preferred is 45 degree ~ 135 degree with paper container surface to be checked, best angle is 90 to spend.Device for eliminating 6 is arranged on the tail end of streamline 7, and computing machine 4 is connected with IMAQ mechanism 2, display 5, device for eliminating 6 respectively.
Principle of work: carry paper container to IMAQ mechanism 2 belows or side when streamline 7, scrambler 1 triggers IMAQ mechanism 2 images acquired through pulse signal.IMAQ mechanism 2 is with the surface image of the paper container that collects; Be transferred to computing machine 4 and carry out Flame Image Process; Computing machine 4 will carry out pre-service, target localization, defectoscopy and classification from the image that biography is come; Calculate the size and the kind of surface imperfection, on display 5, show the surface image information and the defective data of paper container, and be saved on the hard disk of computing machine 4.For underproof product, computing machine 4 drives device for eliminating 6 and rejects.
Above content described in this instructions only is to be illustrated what the utility model structure did.The utility model person of ordinary skill in the field can make various modifications or replenishes or adopt similar mode to substitute described specific embodiment; Only otherwise depart from the structure of the utility model or surmount the defined scope of these claims, all should belong to the protection domain of the utility model.
Claims (3)
1. paper container defects detection equipment based on machine vision; Be arranged on and carry on the streamline, it is characterized in that: comprise irradiation source before scrambler, at least one cover IMAQ mechanism, at least one cover, computing machine, display, device for eliminating, described scrambler is arranged on the drive sprocket axle of streamline; IMAQ mechanism is arranged on streamline top or side; And be connected mutually with scrambler, preceding irradiation source is arranged on top or the side or the below of streamline, and preceding irradiation source and paper container surface to be checked is 0 degree ~ 180 degree; Device for eliminating is arranged on the tail end of streamline, and computing machine is connected with IMAQ mechanism, display, device for eliminating respectively.
2. the paper container defects detection equipment based on machine vision according to claim 1 is characterized in that: the irradiation source preferably is 45 degree ~ 135 degree with paper container surface to be checked before described.
3. the paper container defects detection equipment based on machine vision according to claim 1 is characterized in that: described IMAQ mechanism is analogue camera, digital intelligent camera, line-scan digital camera or area array cameras.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011203383835U CN202256185U (en) | 2011-09-09 | 2011-09-09 | Paper container defect detection equipment based on machine vision |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011203383835U CN202256185U (en) | 2011-09-09 | 2011-09-09 | Paper container defect detection equipment based on machine vision |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202256185U true CN202256185U (en) | 2012-05-30 |
Family
ID=46117407
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011203383835U Expired - Fee Related CN202256185U (en) | 2011-09-09 | 2011-09-09 | Paper container defect detection equipment based on machine vision |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202256185U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104297255A (en) * | 2014-10-15 | 2015-01-21 | 西安交通大学 | Visual inspection method and system device for paper cup defects |
| CN112215883A (en) * | 2020-09-07 | 2021-01-12 | 上海市第一人民医院 | Fundus OCT image virtual measuring device, fundus OCT image virtual measuring method and computer-readable storage medium |
-
2011
- 2011-09-09 CN CN2011203383835U patent/CN202256185U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104297255A (en) * | 2014-10-15 | 2015-01-21 | 西安交通大学 | Visual inspection method and system device for paper cup defects |
| CN112215883A (en) * | 2020-09-07 | 2021-01-12 | 上海市第一人民医院 | Fundus OCT image virtual measuring device, fundus OCT image virtual measuring method and computer-readable storage medium |
| CN112215883B (en) * | 2020-09-07 | 2023-03-31 | 上海市第一人民医院 | Fundus OCT image virtual measuring device, fundus OCT image virtual measuring method and computer-readable storage medium |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120530 Termination date: 20140909 |
|
| EXPY | Termination of patent right or utility model |