Paper
24 November 2016 Three-dimensional surface inspection for semiconductor components with fringe projection profilometry
Fuqin Deng, Yi Ding, Kai Peng, Jiangtao Xi, Yongkai Yin, Ziqi Zhu
Author Affiliations +
Abstract
With the increasing integration level of components in modern electronic devices, three-dimensional automated optical inspection has been widely used in the manufacturing process of electronic and communication industries to improve the product quality. In this paper, we develop a three-dimensional inspection and metrology system for semiconductor components with fringe projection profilometry, which is composed of industry camera, telecentric lens and projection module. This system is used to measure the height, flatness, volume, shape, coplanarity for quality checking. To detect the discontinuous parts in the internal surface of semiconductor components, we employ the fringes with multiple spatial frequencies to avoid the measurement ambiguity. The complete three-dimensional information of semiconductor component is obtained by fusing the absolute phase maps from different views. The practical inspection results show that the depth resolution of our system reaches 10 μm . This system can be further embedded for the online inspection of various electronic and communication products.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fuqin Deng, Yi Ding, Kai Peng, Jiangtao Xi, Yongkai Yin, and Ziqi Zhu "Three-dimensional surface inspection for semiconductor components with fringe projection profilometry", Proc. SPIE 10023, Optical Metrology and Inspection for Industrial Applications IV, 100230Y (24 November 2016); https://doi.org/10.1117/12.2246094
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Semiconductors

Projection systems

Inspection

Fringe analysis

Cameras

3D image reconstruction

3D metrology

Back to Top