The development and usability test of an automated fish counting system based on convolutional neural network and contrast limited histogram equalization

Jing Mei Leong and Mohd Hanafi Ahmad Hijazi and Azali Saudi and Chin Kim On and Ching Fui Fui @ Faihana Ching Abdullah and Haviluddin Haviluddin (2024) The development and usability test of an automated fish counting system based on convolutional neural network and contrast limited histogram equalization. Bulletin of Electrical Engineering and Informatics, 13 (2). pp. 1-10. ISSN 2302-9285

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Abstract

The aquaculture industry has rapidly grown over the year. One pertinent aspect is the ability of the aquaculture farm management to accurately count the fish populations to provide effective feeding and the control of breeding density. The current practice of counting the fish manually increased the hatchery workers workload and led to inefficiency. The presented work proposed an intelligent, web-based fish counting system to assist hatchery workers in counting fish from images. The methodology consists of two phases. First, an intelligent fish counting engine is developed. The captured image was first enhanced using the contrast limited adaptive histogram equalization. A deep learning architecture in the form of you only look once (YOLO)v5 is used to generate a model to identify and count fish on the image. Second, a web-based application is developed to implement the developed fish counting engine. When applied to the test data, the developed engine recorded a precision of 98.7% and a recall of 65.5%. The system is also evaluated by hatchery workers in the University Malaysia Sabah fish hatchery. The results of the usability and functionality evaluations indicate that the system is acceptable, with some future work suggested based on the feedback received.

Item Type:	Article
Keyword:	Deep learning Fish counting Underwater image Usability test You only look once
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) > Q300-390 Cybernetics S Agriculture > SH Aquaculture. Fisheries. Angling > SH1-691 Aquaculture. Fisheries. Angling > SH20.3-191 Aquaculture > SH151-179 Fish culture T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics
Department:	FACULTY > Faculty of Computing and Informatics
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	16 Apr 2025 10:47
Last Modified:	16 Apr 2025 10:47
URI:	https://eprints.ums.edu.my/id/eprint/43526

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