Seung-Beom Kang, Seung-Gyu Kim, Sae-Yong Park, Tae-ho Im, Journal of Internet Computing and Services, Vol. 25, No. 1, pp. 17-27, Feb. 2024
10.7472/jksii.2024.25.1.17, Full Text:  HTML
Keywords: TAC, Fish Species Identification, Body Length Measurement

Abstract

Overfishing, climate change, and competitive fishing have led to a continuous decline in fishery production. To address these issues, the Total Allowable Catch (TAC) system has been established, which sets annual catch quotas for individual fish species and allows fishing only within those limits. As part of the TAC system, land-based investigators measure the length and height of fish species at auction markets to calculate the weight and TAC depletion. However, the accuracy of the acquired data varies depending on the skill level of the land-based investigators, and the labor-intensive nature of the work makes it unsustainable. To address these issues, this paper proposes a fish species recognition and length measurement system that automatically measures the length, height, and weight of eight TAC-managed fish species using the camera of a smart pad that can measure the distance to the water surface. This system can help to automate the current labor-intensive work, minimize data loss, and facilitate the establishment of the TAC system.

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