Presentation + Paper
11 August 2023 Application of polarimetric imaging for automated visual inspection of freeze-dried vaccines
Author Affiliations +
Abstract
Rising vaccine production and complex visual characteristics of freeze-dried products have highlighted a critical need for accurate, high-speed automated quality control. Current inspection procedures, that rely on human vision or line cameras, have undesirable error rates. We propose a novel use of polarimetric imaging for defect capture and compare the performance of polarimetric imaging to RGB imaging for defect detection on vaccine vials with freeze-dried product. Vaccine vials with artificial defects (scratches and fibers) and without defects but with product appearance variations (streaks) are prepared. We capture a data set of RGB images and polarimetric images: Polarization Intensity (PI), Degree of Linear Polarization (DoLP), Angle of Polarization (AoP). We find that the differences between product variation and defects in RGB images are not statistically significant with α = 0.01 (t(8) = 2.088 for scratch vs. streak, t(8) = 2.789 for fiber vs. streak). In contrast, the differences between product variation and defects for polarimetric imaging are statistically significant for all polarization characteristics with α = 0.01 (PI: t(8) = 39.753 for scratch vs. streak, t(8) = 13.039 fiber vs. streak, DoLP: t(8) = 16.537 for scratch vs. streak, t(8) = 17.018 for fiber and streak, AoP: t(8) = 6.764 for scratch vs. streak, t(8) = 4.702 for fiber vs. streak). This indicates that polarimetric imaging may be used as a more effective technique than RGB imaging for defect detection.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Denise Tellbach, Rahul Bhattacharyya, and Sanjay E. Sarma "Application of polarimetric imaging for automated visual inspection of freeze-dried vaccines", Proc. SPIE 12623, Automated Visual Inspection and Machine Vision V, 1262305 (11 August 2023); https://doi.org/10.1117/12.2672258
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Inspection

Polarimetry

RGB color model

Polarization

Cameras

Particles

Manufacturing

Back to Top