A review on contact lens inspection

• Published in: Indonesian Journal of Electrical Engineering and Computer Science
• Main Author: Mana N.A.M.A.; Chin L.C.; Fook C.Y.; Yazid H.; Ali Y.M.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163850768&doi=10.11591%2fijeecs.v31.i2.pp700-712&partnerID=40&md5=c196995fb8c49512a850118f5ea10781

Over the year, contact lens detection has attracted attention and interest from many researchers to study further in this field of inspection. This paper provides a comprehensive review of the existing literature surrounding contact lens inspection methods. In this paper, contact lens-related, defects-related, and inspection methods related are described in detail. To detect contact lenses in a single image and also multi-image, numerous techniques have been developed and this paper is aimed at classifying and evaluating these algorithms. Also, contact lens inspection based on conventional and artificial intelligence methods will be discussed in detail. The industrial production process of contact lenses probably needs to be constructed with advanced tools based on recent technologies so that they can help in the inspection system to achieve accurate results of the inspection and reduce processing time. © 2023 Institute of Advanced Engineering and Science. All rights reserved.