Tracking of Aquatic Fish Breeding Based on Embedded Image Processing System

At present, the monitoring methods are weak in the process of traditional aquatic fish farming towards industrialization and intensive development, so the research and implementation of aquatic fish farming trajectory tracking technology is of great significance. This paper mainly studies the tracki...

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Veröffentlicht in:Revista científica (Universidad del Zulia. Facultad de Ciencias Veterinarias. División de Investigación) 2020-07, Vol.30 (4), p.2079
Hauptverfasser: Hua, Shan, Xu, Minjie, Han, Kaiyuan, Xu, Zhifu, Ye, Hongbao, Zhou, Chengquan
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Sprache:eng
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Zusammenfassung:At present, the monitoring methods are weak in the process of traditional aquatic fish farming towards industrialization and intensive development, so the research and implementation of aquatic fish farming trajectory tracking technology is of great significance. This paper mainly studies the tracking of aquatic fish farming based on embedded image processing system. This article proposes a design scheme for an aquaculture online monitoring system. This system is based on embedded technology, combined with GSM / GPRS communication and radio frequency wireless transmission technology, and mainly realizes real-time trajectory tracking and monitoring of aquatic fish. The intelligent design enables monitoring personnel Take effective measures in time according to abnormal data. The experimental data of this paper shows that the tracking error of the aquatic fish breeding trajectory tracking system reached 0.5mm or less under the condition of X-axis speed of 300mm / min, which meets the design requirements. The experimental results in this paper show that the system is simple in structure, easy to expand in function, and has small errors in the measured data. The aquatic fish breeding trajectory tracking system based on the embedded image processing system is suitable for the field of industrialized aquatic fish breeding. Keywords: Image Processing, Trajectory Tracking, Embedded System, Fish Tracking, Moving Target Detection
ISSN:0798-2259