Abstract

During quality-assurance procedures in the mass production of small-sized curved optical lenses, fine defects are usually detected via manual observation, which is not recommended owing to the associated drawbacks of high error rate, low efficiency, and nonamenability to quantitative analysis. To address this concern, this paper presents a comprehensive defect-detection system based on transmitted fringe deflectometry, dark-field illumination, and light transmission. Experimental results obtained in this study reveal that the proposed method demonstrates efficient and accurate detection of several microdefects occurring in small-sized optical lenses, thereby providing valuable insights into the optimization of parameters concerning the mass production of optical lenses. The proposed system can be applied to the actual mass production of small-sized curved optical lenses.

© 2019 Optical Society of America

Improved STMask R-CNN-based defect detection model for automatic visual inspection of an optics lens

Haiyang Tang, Shan Liang, Dan Yao, and Yongjie Qiao
Appl. Opt. 62(33) 8869-8881 (2023)

Phase-modulation combined deflectometry for small defect detection

Zhaoshuai Qi, Zhao Wang, Junhui Huang, Qiongqiong Duan, Chao Xing, and Jianmin Gao
Appl. Opt. 59(7) 2016-2023 (2020)

A visual defect detection for optics lens based on the YOLOv5 -C3CA-SPPF network model

Haiyang Tang, Shan Liang, Dan Yao, and Yongjie Qiao
Opt. Express 31(2) 2628-2643 (2023)

Detection of small surface defects of nontransparent scattering materials by using dynamic speckles

Igor S. Sidorov, Ervin Nippolainen, and Alexei A. Kamshilin
Appl. Opt. 51(11) 1781-1787 (2012)

Detection of weak micro-scratches on aspherical lenses using a Gabor neural network and transfer learning

Hong-Thai Nguyen, Yu-Ming Tsao, and Hsiang-Chen Wang
Appl. Opt. 61(20) 6046-6056 (2022)