A Novel Method for LCD Module Alignment and Particle Detection in Anisotropic Conductive Film Bonding
文献类型：期刊论文
| 作者 | Li, Tengyang2,3 ; Zhang, Feng1,3; Yang, Huabin1,3; Luo, Huiyuan3; Zhang, Zhengtao1,3
|
| 刊名 | MACHINES
 |
| 出版日期 | 2023 |
| 卷号 | 11期号:1页码:19 |
| 关键词 | conductive particles LCD module ACF bonding automated optical inspection visual-alignment |
| DOI | 10.3390/machines11010049 |
| 通讯作者 | Zhang, Feng(feng.zhang@ia.ac.cn) |
| 英文摘要 | In this paper, we propose a misalignment correct method and a particle detection algorithm to improve the accuracy in the quality inspection of the LCD module after the anisotropic conductive film (ACF) bonding. We use only one camera to acquire images of multiple positions in order to establish the transformation from the image space to the world coordinate. Our method can accurately determine the center of rotation of the carrier table and calculate the deviation of position and angle of the tested module. Compared to traditional ways that rely on multiple cameras to align the large-sized product, our method has the advantages of simple structure, low cost, and fast calibration process. The particle detection is performed after positioning all bumps of the bonded module. The gray morphology-based algorithm is developed to detect the extreme point of every particle and refine the particle result through blob analysis. This method reduces the over-checking rate and performs better on the detection precision for dense particles. We verify the effectiveness of our proposed methods in our experiments. The alignment error can be less than 0.05 mm, and the accuracy of the particle detection is 93% while the recall rate is 92.4%. |
| WOS关键词 | AUTOMATIC INSPECTION ; ACFS |
| 资助项目 | National Key Research and Development Program of China[2022YFB3303800] ; National Natural Science Foundation of China[U21A20482] ; National Natural Science Foundation of China[U1909218] ; Science Technology Project ; Binzhou Weiqiao Guoke Advanced Technology Research Institute[E2D21709] ; Binzhou Weiqiao Guoke Advanced Technology Research Institute[E2D21710] ; Binzhou Weiqiao Guoke Advanced Technology Research Institute[E2D21711] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000917436500001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Science Technology Project ; Binzhou Weiqiao Guoke Advanced Technology Research Institute |
| 源URL | [http://ir.ia.ac.cn/handle/173211/51398]  |
| 专题 | 中科院工业视觉智能装备工程实验室 |
| 通讯作者 | Zhang, Feng |
| 作者单位 | 1.CASI Vis Technol Co Ltd, Luoyang 471000, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, CAS Engn Lab Intelligent Ind Vis, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Tengyang,Zhang, Feng,Yang, Huabin,et al. A Novel Method for LCD Module Alignment and Particle Detection in Anisotropic Conductive Film Bonding[J]. MACHINES,2023,11(1):19. |
| APA | Li, Tengyang,Zhang, Feng,Yang, Huabin,Luo, Huiyuan,&Zhang, Zhengtao.(2023).A Novel Method for LCD Module Alignment and Particle Detection in Anisotropic Conductive Film Bonding.MACHINES,11(1),19. |
| MLA | Li, Tengyang,et al."A Novel Method for LCD Module Alignment and Particle Detection in Anisotropic Conductive Film Bonding".MACHINES 11.1(2023):19. |
入库方式： OAI收割
来源：自动化研究所
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