Mauk, M. G., & Chiou, R., & Bayas, C. R. (2016, June), Machine Vision for Solar Cell Inspection  Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.27325

\bibitem{asee_peer_27325}
  Mauk, M. G., \& Chiou, R., \& Bayas, C. R. (2016, June), \emph{Machine Vision for Solar Cell Inspection}
  Paper presented at 2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana.
  10.18260/p.27325

Michael G. Mauk, Richard Chiou, and Chetana R. Bayas.  "Machine Vision for Solar Cell Inspection".  2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016, June.  ASEE Conferences, 2016.  https://strategy.asee.org/27325 Internet.  25 Jun, 2024

\bibitem{asee_peer_27325}
  Michael G. Mauk, Richard Chiou, and Chetana R. Bayas.
  "Machine Vision for Solar Cell Inspection".
  \emph{2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana, 2016, June}.
  ASEE Conferences, 2016.
  https://strategy.asee.org/27325 Internet.  25 Jun, 2024

@INPROCEEDINGS{asee_peer_27325
author = "Michael G. Mauk, Richard Chiou, and Chetana R. Bayas"
title = "Machine Vision for Solar Cell Inspection"
booktitle = "2016 ASEE Annual Conference \& Exposition"
year = "2016"
month = "June"
address = "New Orleans, Louisiana"
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/27325}
number = {10.18260/p.27325}
}

TY  - CPAPER
AB  - Solar cells in various stages of production, e.g., silicon feedstock;  polycrystalline castings; single and multicrystalline wafers and sheets; and solar cells with texture etching, screen-printed metal contacts, and anti-reflection coatings offer instructive examples for using machine vision for quality assurance, materials and device characterization, and solar cell diagnostics.   The solar cell proves an effective ‘vehicle’ for demonstrating and exploring various aspects of materials science (grain size and texture and other features of microstructure, optical manifestations of defects, metallurgy of electrical contacts), thin-film technology (screen printing, coatings, texturization, optics, surface metrology, rational cleaning methods,        Further, the solar cell fabrication processes are typically automated with conveyer belts and robotics, offering many industrially-relevant opportunities for applying machine vision techniques for inspection, process control, and product sorting.   In this paper, we describe various aspects of image capture, processing, and analysis using low-cost CCD cameras and thermal infrared cameras as instructive case studies in materials science, thin film technology, and machine vision for quality assurance. 
AU  - Michael G. Mauk
AU  - Richard Chiou
AU  - Chetana R. Bayas
CY  - New Orleans, Louisiana
DA  - 2016/06/26
PB  - ASEE Conferences
TI  - Machine Vision for Solar Cell Inspection
UR  - https://strategy.asee.org/27325
DO  - 10.18260/p.27325
ER  -