An automatic fish counting system based on machine vision in

Fazli, Adam Harris (2024) An automatic fish counting system based on machine vision in. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The Automatic fish counting system is a fish population that monitor in aquatic areas that automated by using a technology method. This system can identify and count various fish species precisely and effectively by utilizing the advance technologies including computer vision. The creation of an automated fish counting system based on machine vision in aquaculture technology has the potential to revolutionize fish farming methods by offering an accurate and efficient method for fish population monitoring. This system typically consists of a camera that have placed in a specific area to record the fish that pass through. However, the issues involved in fish counting in aquaculture may not all be fully addressed by the fish counting techniques now in use. The traditional manual fish counting methods are time-consuming, labor-intensive, and prone to human error, making them ineffective in large-scale or real-time applications. Thus, the main purpose of this project is to evaluate the performance of the fish counting platform accuracy using a statistical approach. Furthermore, this work is to design a fish counting system based on a computer vision platform that determine the fish grading and quality. The automated technology offers a more accurate and efficient solution for aquaculture farms, allowing for the accurate and rapid measurement of fish populations. A system of this type would assist a wide range of stakeholders, including fisheries managers, aquaculture operators, environmental researchers, and conservationists, by allowing them to make accurate decisions and implement effective strategies based on precise fish population data.

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