Abstract
Because the latitude and longitude feedback of the traditional ocean monitoring buoy is not accurate, a method of ocean monitoring buoy positioning based on visual feature recognition is proposed. By selecting buoy shape and material, the communication module and image acquisition module are designed Complete hardware design. In the software design, according to the angle between the lowest pixel, the highest pixel and the horizontal direction, the positioning analog signal is selected. Through the E-R model and the buoy information table field, the database design is completed. So far, the design of the buoy positioning system based on visual feature recognition is completed. According to the simulation results, the longitude and latitude coordinates of the design system feedback can be accurate to four decimal places, which shows that the designed positioning system is more accurate.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, Y., Liu, L. (2020). Design of Buoy Positioning System for Ocean Monitoring Based on Visual Feature Recognition. In: Zhang, YD., Wang, SH., Liu, S. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-030-51100-5_40
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DOI: https://doi.org/10.1007/978-3-030-51100-5_40
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