Salted crab grading using computer vision

Name: Tuul Triyason

Organization : King Mongkut’s University of Technology Thonburi. School of Information Technology

Email : tuul.tri@kmutt.ac.th

Name: Anuchart Tassanaviboon

Organization : King Mongkut’s University of Technology Thonburi. School of Information Technology

Email : anuchart.tas@kmutt.ac.th

Name: Bunyarit Puangthamawathanakun

Organization : Dublin City University

LCSH: Computer vision

LCSH: Image processing

LCSH: Salted crab

Abstract: Salted crabs are a popular local delicacy in Thailand. As a result, the production of salted crabs has become an important SME industry in the country’s freshwater fisheries. However, the current production and grading processes still rely primarily on manual labor, resulting in significant loss of human resources and time. This research study explores the use of computer image processing techniques, specifically color and size properties, to classify salted crabs. The results show that computer image processing techniques can be effectively used for salted crab classification, and can be further extended to develop hardware systems for future use in the industry

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2023

Modified: 2024-04-23

Issued: 2024-04-23

บทความ/Article

application/pdf

BibliograpyCitation : In Institute of Electrical and Electronics Engineers. The 27th International Computer Science and Engineering Conference 2023 (ICSEC 2023) (pp.310-314). Bangkok : Institute of Electrical and Electronics Engineers

eng

©copyrights King Mongkut's University of Technology North Bangkok

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