CN201876425U - Electrode image detecting system - Google Patents
Electrode image detecting system Download PDFInfo
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- CN201876425U CN201876425U CN2010205428910U CN201020542891U CN201876425U CN 201876425 U CN201876425 U CN 201876425U CN 2010205428910 U CN2010205428910 U CN 2010205428910U CN 201020542891 U CN201020542891 U CN 201020542891U CN 201876425 U CN201876425 U CN 201876425U
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- image detecting
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Abstract
The utility model discloses an electrode image detecting system. The electrode image detecting system adopts a camera to photograph the surface image of an electrode, the image is processed by computer software, and whether the inferior exists in the electrode or not is judged; after the inferior is found, the inferior electrode is removed by a manipulator. With the electrode image detecting system, the detecting accuracy and reliability of the electrode are improved.
Description
Technical field
The utility model relates to detection technique, particularly a kind of electrode detection technology.
Background technology
Current battery production enterprise generally adopts manually to be detected electrode, and promptly the product examine workman checks one by one to shaped electrode, picks out the substandard products electrode.Yet there is following problem in manual detection:
1, is difficult to detect trickle defective.Many defectives are small, with the naked eye are difficult to differentiate, and cause the substandard products omission.
2, artificial contact electrode causes the electrode proterties to change.The contacting of hand and electrode during manual detection, the moisture that the people breathes generation change the electrode proterties, influence battery performance.
3, manual detection exists intrinsic problems such as standard disunity, fatigue to cause the substandard products omission.
4, need to use a large amount of quality inspection personnels, with high costs.
For addressing the above problem, reach high-precision automatic and detect, the utility model has provided a kind of method that manually electrode is detected that substitutes.
The utility model content
The utility model provides a kind of electrode image detecting system, is used to realize the electrode detection of automated high-precision.
A kind of electrode image detecting system comprises: the camera of transport tape and acquisition electrode image, and electrode is positioned on the described transport tape, it is characterized in that: described camera is fixedly installed in electrode top acquisition electrode image; Computer Processing electrode image is judged its qualification, sends the rejecting signal to mechanical arm when finding defective electrode, and mechanical arm is rejected the substandard products electrode.
Native system adopts machine vision technique, replaces human eye, computer generation for the method for human brain product to be detected with camera.Camera is taken electrode, and image imports computing machine into, by software processing electrode image, judges whether electrode is qualified.In actual production, camera is installed in electrode and cuts on (moulding) machine, and electrode is taken, and judges its qualification.
In this process that electrode is differentiated, use the technology of Digital Image Processing and pattern-recognition.Adopt image process method that defective is cut apart, adopt the method for pattern-recognition to classify, judge its qualification according to characteristics of image, and the kind of defective.
Description of drawings
Fig. 1 is an electrode image detecting system structural drawing
Embodiment
Native system adopts camera to replace human eye, computer generation for the method for human brain electrode to be detected.Industrial camera is taken electrode, and image imports computing machine into, by software processing electrode image, judges whether electrode is qualified.In actual production, camera is installed in electrode and divides on the tangent line, and camera is taken electrode, judges its qualification, and structural drawing as shown in Figure 1.
Embodiment:
The main implementation procedure of electrode detection system is as follows:
One, image acquisition
Picture quality is the key of electrode detection accuracy of detection.Under the high-speed production environment, collect high resolving power, stable image, the software and hardware of system has been proposed very high requirement.Adopt 2 pairs of images of line-scan digital camera to gather in the present embodiment.Electrode 1 moves on transport tape 5, line-scan digital camera 2 its images of scanning, the complete high-definition picture of an electrode of formation.
Two, image pre-service
Little at the electrode image object, contrast is low, characteristics such as strong noise improve the quality of image with pretreated algorithms of image such as gray scale transformation, histogram equalization, gaussian filtering, mean filters, reduce noise, enhancing contrast ratio.
Three, rim detection
Detect the method that defective in the electrode can adopt rim detection.The edge is meant that zone jumpy takes place gray scale in the image.The situation of change of gradation of image can reflect that (x, y), its directional derivative obtains local maximum to given consecutive image f on the edge normal direction with the gradient of intensity profile.Can adopt battery electrode Defect Detection technology for electrode detection based on edge extracting.
Four, feature extraction and classification
At detected electrode edge bianry image, utilize characteristic parameters such as mathematical morphology knowledge filtering and noise reduction, the area that extracts the defective target, girth, circularity, the composition characteristic vector utilizes least square method supporting vector machine (LS-SVM) to come defect kind is discerned, classified.
Five, the rejecting of substandard products
3 pairs of electrodes of carving knife are cut.After the detection computations machine is found the substandard products electrode, send substandard products information for mechanical arm 4, mechanical arm is sent it into substandard products cabin 7, and for qualified electrode, mechanical arm is sent it into product cabin 6.Detection and bad part eject have been realized to electrode.
Native system adopts machine vision technique, replaces human eye, computer generation for the method for human brain product to be detected with camera.Camera is taken electrode, and image imports computing machine into, by software processing electrode image, judges whether electrode is qualified.In actual production, camera is installed in electrode and cuts on (moulding) machine, and electrode is taken, and judges its qualification.
In this process that electrode is differentiated, use the technology of Digital Image Processing and pattern-recognition.Adopt image process method that defective is cut apart, adopt the method for pattern-recognition to classify, judge its qualification according to characteristics of image, and the kind of defective.
Claims (1)
1. electrode image detecting system comprises: the camera of transport tape and acquisition electrode image, and electrode is positioned on the described transport tape, it is characterized in that: described camera is fixedly installed in electrode top acquisition electrode image; Computer Processing electrode image is judged its qualification, sends the rejecting signal to mechanical arm when finding defective electrode, and mechanical arm is rejected the substandard products electrode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010205428910U CN201876425U (en) | 2010-09-27 | 2010-09-27 | Electrode image detecting system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010205428910U CN201876425U (en) | 2010-09-27 | 2010-09-27 | Electrode image detecting system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201876425U true CN201876425U (en) | 2011-06-22 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010205428910U Expired - Fee Related CN201876425U (en) | 2010-09-27 | 2010-09-27 | Electrode image detecting system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201876425U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323459A (en) * | 2013-05-24 | 2013-09-25 | 浙江天能电池(江苏)有限公司 | Container formation lead acid battery detector for detecting reversed assembling of electrode group |
-
2010
- 2010-09-27 CN CN2010205428910U patent/CN201876425U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103323459A (en) * | 2013-05-24 | 2013-09-25 | 浙江天能电池(江苏)有限公司 | Container formation lead acid battery detector for detecting reversed assembling of electrode group |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| DD01 | Delivery of document by public notice |
Addressee: Mobilefly Technology Co., Ltd. Document name: Notification to Pay the Fees |
|
| DD01 | Delivery of document by public notice | ||
| DD01 | Delivery of document by public notice |
Addressee: Mobilefly Technology Co., Ltd. Document name: Notification of Termination of Patent Right |
|
| DD01 | Delivery of document by public notice | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110622 Termination date: 20180927 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |