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A review on contact lens inspection

Journal
Indonesian Journal of Electrical Engineering and Computer Science
ISSN
25024752
Date Issued
2023
Author(s)
Nur Alifah Megat Abd Mana
Universiti Malaysia Perlis
Lim Chee Chin
Universiti Malaysia Perlis
Chong Yen Fook
Universiti Malaysia Perlis
Haniza Yazid
Universiti Malaysia Perlis
Yusnita Mohd Ali
Universiti Teknologi MARA
DOI
10.11591/ijeecs.v31.i2.pp700-712
Handle (URI)
https://ijeecs.iaescore.com/index.php/IJEECS/article/view/31487
https://ijeecs.iaescore.com/index.php/IJEECS/index
Abstract
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.
Funding(s)
Universiti Malaysia Perlis
Subjects
  • Contact lens

  • Deep learning

  • Defects

  • Inspection

  • Machine learning

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