A computer vision - based fish monitoring system in aquaculture technology

Mohd Razali, Muhammad Azim (2024) A computer vision - based fish monitoring system in aquaculture technology. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

A computer vision-based fish monitoring system is a system that uses computer vision techniques to automatically detect, track, and analyze fish in aquatic environments. The system includes underwater cameras that capture images or videos of fish, which are then analyzed by computer vision algorithms to extract relevant information about the fish .Fish populations are being threatened by overfishing in the fishing industry, which could have major ramifications for food security, biodiversity, and the lives of millions of people. Furthermore, it can be challenging to manage fisheries sustainably and safeguard vulnerable species due to the time-consuming, and labor-intensive. This knowledge, may be used to replace traditional techniques such as direct observation, which are impractical or affect the fish behavior, in task such as aquarium and fish farm management or fish way evaluation. The main objective for this project are to design a fish monitoring system based on computer vision platform determining fish and water quality. Next, to evaluate the performance of the fish monitoring platform accuracy using statistical approach. The result shows the system were able to detect and tracking the fish also display the water quality. The fish monitoring system has the potential to revolutionize fish monitoring practices, enabling more accurate and efficient data collection compared to traditional manual methods.

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