Optimization of technological map of acceptable system engineering solutions for aquaculture video analytics

A. L. Ronzhin   ; V. N. Le   ; N. Shuvalov

Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematika, mehanika, fizika, Tome 16 (2024) no. 2, pp. 50-58

Résumé

The paper considers the problem of video analytics of aquatic organisms in fish farming industrial complexes. It proposes a conceptual model of the video analytics problem, and a corresponding mathematical formulation of the problem with the search for a subset of acceptable options for the technological map, which boils down to the search for options that satisfy functional criteria. The final decision on the structure and functions of video analytics hardware and software takes into account the cost of the entire life cycle of the equipment. The study emphasizes the importance of automation and intellectualization of technological processes in agriculture, the most pressing modern problems, which are the main focus of the research of advanced teams. The paper discusses primary data for the development and implementation of a video analytics system when solving the problem of counting fish and their mass during transplantation, shipment, and reception into the processing shop. The data were obtained in the framework of cooperation with the Ostrov company, specializing in trout cultivation and paying serious attention to the implementation of modern means of automatization and artificial intelligence in technological processes of industrial aquaculture. Full-scale experiments were carried out and images of fishes were collected in a transparent narrow pipe directed by a stream of water, and in air while moving on a conveyor belt. Further research will be aimed at developing model-algorithmic and software necessary for testing the proposed mathematical models and optimizing options for the technological map of video analytics system.

Détail

Keywords: systems analysis, multi-criteria assessment, technical vision, video analytics, artificial intelligence technologies, robotics, artificial neural networks.

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