Optical Imaging Deformation Inspection and Quality Level Determination of Multifocal Glasses

Area of Science:

• Optical Engineering
• Computer Vision
• Materials Science

Background:

• Multifocal glasses feature variable curvatures, increasing susceptibility to optical deformation during manufacturing.
• Existing research primarily addresses optical lens deformation correction, not automated defect detection.
• Irregular curvature variations in multifocal lenses can lead to imaging distortions.

Purpose of the Study:

• To develop an automated system for detecting and quantifying optical deformation defects in multifocal glasses.
• To replace subjective human assessment with an objective, computer-aided inspection method.
• To establish a quality grading system for multifocal lens deformation severity.

Main Methods:

• Digitally imaging concentric circles through test lenses to capture deformation patterns.
• Image preprocessing and a centroid-radius model to analyze circle variations.
• Utilizing fuzzy logic and a genetic algorithm for severity quantification and quality grading.
• Implementing a difference imaging technique to highlight deformed regions.

Main Results:

• The automated system achieved 94% accuracy in quality grading of deformation severity.
• A recall rate of 81% for identifying deformation defects was recorded.
• The system demonstrated a low false positive rate of 11% for multifocal glass detection.

Conclusions:

• The developed system provides an effective, computer-aided solution for multifocal glass deformation inspection.
• This approach meets the demands of efficient inspection and quality control in lens manufacturing.
• The study offers a novel method for quantifying deformation severity in complex optical lenses.