Abstract

Nowadays, eyeglassesare used for vision correction as well as in the fashion industry. Eyeglasses have become more expensive and the eyewear industry has grown rapidly, thereby requiring the development of advanced coating technologies. However, defect detection by visual inspection in the manufacturing process of eyeglass coatings is difficult. To solve this problem, we propose the coated eyeglass defect detection system framework based on machine vision for real-time inspection. First, we locate and extract regions of interest (ROI) ofthe coated eyeglass by adopting cross-projection based on symmetrizedenergy analysis. Next, we propose an efficient method based on the symmetrized energy analysis of color channelsto enhance defectsin each color channel of the ROI of the coated eyeglass. Then, we adoptsymmetrized cross-projection energy analysis for locating defective areas inside the ROI of the coated eyeglass. Finally, we compare the defect detection resultsfor the coated eyeglass with the standard manufacturingquality. An experiment is conducted using real data collected froma Taiwanese eyeglass factory to validate the performance of the proposed framework. This framework achieves a 100% defect detection rate, demonstrating that it is valid and useful for inspecting coated eyeglasses in industries.

Highlights

  • In Industry 4.0, an automatic optical inspection (AOI) system is a key technique in the manufacturing and testing of products to ensure that the products leaving the production line are high-quality and defect-free

  • We propose a coated eyeglass defect detection system (CEDDS) that can efficiently1.detect defects isoccurring defectiveinorthe is scratched, the coating process could1.beIf re-performed until theorpiece passes the coating process, as shown in Figure a coating is defective is scratched, the quality can be used to examine coating each stage of the coating coatingexamination

  • The defect detection algorithm was tested on the four types of coated eyeglasses

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Summary

Introduction

In Industry 4.0, an automatic optical inspection (AOI) system is a key technique in the manufacturing and testing of products to ensure that the products leaving the production line are high-quality and defect-free. AOI has been increasingly used for automatic defect detection in industry product quality control. AOI[26], systems been developed for different types of glass products, such as float inspection systems have successfully replaced manual ones, the analysis process must be enhanced glass [25], satin glass [26], glass bottle bottoms [27], and glass containers [28]. Eyeglasses must or eyeglasses are used to enable people with poor vision to see clearly They typically be light, thin, and anti-reflective to protect the wearer’s eyes from harmful ultraviolet (UV). Anti-reflectivity can be are made of a very thin film that is layered on the eyeglass; the film has arefractive index between achieved by applying a specific coating on the surface of the eyeglass Such coatings are made of a that air and glass. Each eyeglass type has a different edge thickness (ET) and diameter (Dia.), as shown in Figures and 3

Overview of Eyeglass Types
Actual
Optical
Eyeglass Extraction
Defect
Experimental Results and Discussion
13. Defect
Our Method
Conclusions

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