Salted Crab Grading Using Computer Vision
Conference proceedings article
Authors/Editors
Strategic Research Themes
Publication Details
Author list: Tuul Triyason, Anuchart Tassanaviboon, Bunyarit Puangthamawathanakun
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2023
Start page: 310
End page: 314
Number of pages: 5
ISBN: 9798350342109
URL: https://ieeexplore.ieee.org/document/10329738/
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.
Keywords
Computer Vision, Freshwater fishery, Image processing