CN209247651U - A kind of burr detection device of lithium battery pole slice - Google Patents

A kind of burr detection device of lithium battery pole slice Download PDF

Info

Publication number
CN209247651U
CN209247651U CN201821646423.0U CN201821646423U CN209247651U CN 209247651 U CN209247651 U CN 209247651U CN 201821646423 U CN201821646423 U CN 201821646423U CN 209247651 U CN209247651 U CN 209247651U
Authority
CN
China
Prior art keywords
camera
pole piece
burr
parallel
lithium battery
Prior art date
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.)
Active
Application number
CN201821646423.0U
Other languages
Chinese (zh)
Inventor
薛平
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.)
Guangdong Hi Tech Automation Technology Co Ltd
Original Assignee
Guangdong Hi Tech Automation Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangdong Hi Tech Automation Technology Co Ltd filed Critical Guangdong Hi Tech Automation Technology Co Ltd
Priority to CN201821646423.0U priority Critical patent/CN209247651U/en
Application granted granted Critical
Publication of CN209247651U publication Critical patent/CN209247651U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Length Measuring Devices By Optical Means (AREA)

Abstract

The utility model provides a kind of burr detection device of lithium battery pole slice, including first camera, second camera, plane mirror and light source, mirror tilt corresponds to the side of pole piece, the top of plane mirror is arranged in first camera, first camera can obtain the pole piece not burr parallel with pole piece by plane mirror, the camera lens of second camera tilts down the side setting that 30 degree to 45 degree angles correspond to pole piece, second camera can obtain the burr parallel with pole piece, light source is arranged in pole piece side, can provide light source for first camera and second camera.It is additionally related to a kind of burr detection method of lithium battery pole slice, above-mentioned apparatus and method, can quick obtaining pole piece image carry out burr detection and analysis, the burr perpendicular to pole piece can not only be got, but also it is available to the burr for being parallel to pole piece, to solve the problems, such as that the burr for being parallel to pole piece is undetectable, and the length of burr in image can be quickly judged by burr detection method.

Description

A kind of burr detection device of lithium battery pole slice
Technical field
The utility model relates to lithium battery pole slice, especially a kind of burr detection device of lithium battery pole slice.
Background technique
Lithium battery is the consumption power supply that is most widely used in the world and electrical source of power at present, and lithium battery manufacturing industry is in order to increase Strong globalized competetion power, each process accuracy of machines require higher and higher, manufacturing process also increasingly intelligence, to ensure lithium battery matter Amount and performance.The burr that lithium battery pole slice cutting generates, can penetrate isolation film in subsequent lamination or winding process and lead to short circuit, It causes battery-heating and explosion and endangers the personal safety of user.
When detecting, general camera is vertically arranged for burr testing agency in the prior art, the lower section setting of corresponding camera There is the plane mirror for tilting corresponding pole piece, which is obtaining the progress burr detection and analysis of pole piece image, be parallel to the hair of pole piece Thorn will be rendered as a point in the camera, cause not detected with the burr length of pole piece in parallel.
Utility model content
The purpose of the utility model is to provide a kind of can detect that examine in parallel with the burr of the burr lithium battery pole slice of pole piece Survey device.
To achieve the goals above, the utility model provides the following technical solutions:
A kind of burr detection device of lithium battery pole slice, including first camera, second camera, plane mirror and light source, it is described Mirror tilt corresponds to the side of pole piece, and the top of plane mirror, and the camera lens of the first camera is arranged in the first camera Corresponding with plane mirror, the first camera can obtain the pole piece not burr parallel with pole piece, second phase by plane mirror The camera lens of machine tilts down the side setting that 30 degree to 45 degree angles correspond to pole piece, and the second camera can obtain parallel with pole piece Burr, the light source are arranged in pole piece side, can provide light source for first camera and second camera.
The utility model has the following beneficial effects:
Above-mentioned apparatus, can quick obtaining pole piece image carry out burr detection and analysis, can not only get perpendicular to pole piece Burr, but also available to being parallel to the burr of pole piece undetectable is asked to solve and be parallel to the burr of pole piece Topic.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the utility model;
Fig. 2 is the thinking figure of the spiculation detection algorithm one of the utility model;
Fig. 3 is the thinking figure of the spiculation detection algorithm two of the utility model.
Specific embodiment
The utility model is further described below in conjunction with attached drawing:
ROI (region ofinterest), area-of-interest.In machine vision, image procossing, from processed image Region to be treated, referred to as area-of-interest, ROI are sketched the contours of in a manner of box, circle, ellipse, irregular polygon etc..? It is emerging to acquire sense that various operators (Operator) and function are commonly used on the machine vision softwares such as Halcon, OpenCV, Matlab Interesting region ROI, and carry out the next step processing of image.
Blob (Binary large object) refers to the two-value region obtained from image, in general, the two fingers area Domain is the prospect in image.In Halcon, Blob is one and extracts resulting region.Blob analysis refers to the two-value area Domain carries out the analysis of the features such as area, perimeter center of gravity.
Blob (BlobAnalysis) is analyzed the connected domain of same pixel in image, which is known as Blob.Blob analysis can provide quantity, position, shape and the direction of the spot in image for machine vision applications, can also mention For the topological structure between related spot.
Blob translates into Chinese, is " drop ", " one brush ", " one ", " making dirty ", the meaning of " mistaking ".It is regarded in computer Blob in feel, which refers in image, has one piece of connected region composed by Similar color, Texture eigenvalue.Obviously, Blob its Real is exactly that image is carried out to binaryzation, and segmentation obtains foreground and background, connected region detection is then carried out, so that it is fast to obtain Blob Process.In simple terms, blob is exactly to search out the zonule of appearance " gray scale mutation " to come in one piece of " smooth " region. For example, smooth if the glass just produced now with one piece, surface is very smooth.If do not had above this block glass There is flaw, then, we can't detect " gray scale mutation ";On the contrary, if on glass production line, for various reasons, As soon as causing has a raised vesicle, have a piece blackspot, have some cracks so above glass, we can be on this block glass Face detects texture, the part that color mutates, and these parts, is exactly flaw caused by production process, and this mistake Journey is exactly blob.Obviously, the Defect Detection of textile, the Defect Detection of glass, surface defects of mechanical parts detection, Coke bottle Defects detection, many occasions such as drug capsules defects detection can all use blob.
As shown in Figure 1, a kind of burr detection device of lithium battery pole slice, including first camera 1, second camera 2, plane Mirror 3 and light source 4, the plane mirror 3 tilt the side of corresponding pole piece, and the top of plane mirror 3 is arranged in the first camera 1, and The camera lens of the first camera 1 is corresponding with plane mirror 3, the first camera 1 by plane mirror can obtain pole piece not with pole piece Parallel burr, the camera lens of the second camera 2 tilt down 30 degree to 45 degree angles correspond to pole piece side setting, described second Camera 2 can obtain the burr parallel with pole piece, and it can be first camera 1 and second camera 2 that the light source 4, which is arranged in pole piece side, Light source is provided.
A kind of burr detection method of lithium battery pole slice, comprising the following steps: Step 1: first setting first camera and Two cameras take figure frequency;
Step 2: this takes figure frequency to need to meet following conditions,
The condition are as follows: take figure frequency * viewing field of camera length >=pole piece movement rate;
Step 3: first camera and second camera often take a picture, image analysis is carried out by spiculation detection algorithm;
As shown in Figure 2, the step of spiculation detection algorithm one, includes the following:
(1), picture is divided into 4 parts first;
(2), straight line 6 up and down is fitted to the edge of each part, ROI 5 is set, each part there are two ROI up and down 5 (perceptual regions);
(3), Blob algorithm is used for each ROI 5, calculates Blob central point to up or down straight line after finding Blob Distance, the as half of burr height.
As shown in Figure 3, the step of spiculation detection algorithm two, includes the following:
(1), the average thickness for calculating pole piece edge in picture, finds out maximum back gauge;
(2), the condition that maximum back gauge meets are as follows: maximum back gauge > (average thickness+preset threshold);
(3), it respectively takes a part point to be fitted straight line 6 up and down in maximum distance or so, ROI 5 is set, and each part has up and down Two ROI 5 (perceptual region);
(4), Blob algorithm is used for each ROI 5, finds and calculates Blob central point after Blob to upper ROI 5 (under or ROI distance), the as half of burr height;
(5), the data for removing straight line portion find the maximum back gauge at remaining edge, repeat (2), (3), (4) step.
Above-mentioned apparatus and method, can quick obtaining pole piece image carry out burr detection and analysis, can not only get perpendicular to The burr of pole piece, but also available to being parallel to the burr of pole piece can not be examined to solve and be parallel to the burr of pole piece The problem of survey, and the length of burr in image can quickly be judged by burr detection method.
The above is not limit the technical scope of the present invention, all according to the utility model technical spirit To any modification, equivalent variations and modification made by above embodiment, the model of the technical solution of the utility model is still fallen within In enclosing.

Claims (1)

1. a kind of burr detection device of lithium battery pole slice, it is characterised in that: including first camera, second camera, plane mirror and Light source, the mirror tilt correspond to the side of pole piece, and the top of plane mirror, and first phase is arranged in the first camera The camera lens of machine is corresponding with plane mirror, and the first camera can obtain the pole piece not burr parallel with pole piece, institute by plane mirror The camera lens for stating second camera tilts down the side setting that 30 degree to 45 degree angles correspond to pole piece, and the second camera can obtain and pole The parallel burr of piece, the light source are arranged in pole piece side, can provide light source for first camera and second camera.
CN201821646423.0U 2018-10-11 2018-10-11 A kind of burr detection device of lithium battery pole slice Active CN209247651U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201821646423.0U CN209247651U (en) 2018-10-11 2018-10-11 A kind of burr detection device of lithium battery pole slice

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201821646423.0U CN209247651U (en) 2018-10-11 2018-10-11 A kind of burr detection device of lithium battery pole slice

Publications (1)

Publication Number Publication Date
CN209247651U true CN209247651U (en) 2019-08-13

Family

ID=67524688

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201821646423.0U Active CN209247651U (en) 2018-10-11 2018-10-11 A kind of burr detection device of lithium battery pole slice

Country Status (1)

Country Link
CN (1) CN209247651U (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109324061A (en) * 2018-10-11 2019-02-12 广东德尔智慧工厂科技有限公司 A kind of burr detection device and method of lithium battery pole slice
CN113063790A (en) * 2021-03-19 2021-07-02 天臣新能源(渭南)有限公司 Lithium battery pole piece burr detection device

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109324061A (en) * 2018-10-11 2019-02-12 广东德尔智慧工厂科技有限公司 A kind of burr detection device and method of lithium battery pole slice
CN109324061B (en) * 2018-10-11 2023-09-22 广东德尔智慧工厂科技有限公司 Burr detection device and method for lithium battery pole piece
CN113063790A (en) * 2021-03-19 2021-07-02 天臣新能源(渭南)有限公司 Lithium battery pole piece burr detection device

Similar Documents

Publication Publication Date Title
CN109324061A (en) A kind of burr detection device and method of lithium battery pole slice
CN106952258B (en) A kind of bottle mouth defect detection method based on gradient orientation histogram
CN109822398B (en) Numerical control machine tool broken cutter detection system and method based on deep learning
CN108562589B (en) Method for detecting surface defects of magnetic circuit material
CN112184648A (en) Piston surface defect detection method and system based on deep learning
CN105044114B (en) A kind of electrolytic capacitor appearance packaging defect image detecting system and method
CN102221556B (en) Device and method for online detection on appearance defect of minitype connecting part based on machine vision
CN102136061B (en) Method for automatically detecting, classifying and identifying defects of rectangular quartz wafer
CN107966454A (en) A kind of end plug defect detecting device and detection method based on FPGA
CN209247651U (en) A kind of burr detection device of lithium battery pole slice
CN104597057B (en) A kind of column Diode facets defect detecting device based on machine vision
CN108665458A (en) Transparent body surface defect is extracted and recognition methods
CN107101598B (en) Automatic detection method and device for concentricity quality of piezoelectric ceramic silver sheet
CN111582294A (en) Method for constructing convolutional neural network model for surface defect detection and application thereof
CN102998316A (en) Transparent liquid impurity detection system and detection method thereof
CN111257329A (en) Smartphone camera defect detection method and detection system
Li et al. A new machine vision real-time detection system for liquid impurities based on dynamic morphological characteristic analysis and machine learning
CN109507205A (en) A kind of vision detection system and its detection method
CN109115775B (en) Betel nut grade detection method based on machine vision
Pithadiya et al. Comparison of optimal edge detection algorithms for liquid level inspection in bottles
CN112304957A (en) Machine vision-based intelligent detection method and system for appearance defects
CN109671064A (en) A kind of multi-target detection method of industrial part face crack
CN205786374U (en) Special-shaped stamping parts profile defects vision detection system based on coupling
CN117030612A (en) Household film element surface defect detection system and detection method based on machine vision
CN116740449A (en) Shaving form detection method and system based on AI (advanced technology attachment) computer vision technology

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant