Development of Bird Guarding Systems with Image Processing Techniques and High-Frequency Waves
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Abstract
Raising Red Tilapia in cages is often accompanied by birds eating fish during the first culturing period. Guarding against bird infestation has increased the number of red tilapia. Anti-bird detectors currently use infrared detection to detect them. It cannot be separated from other living things, like birds, and therefore it is not suitable for guarding bird infestations in cages or on the ground. Therefore, the research team had an idea to develop bird guarding systems with image processing techniques and high-frequency waves by bringing in image processing principles to help distinguish between terrestrial beings that are birds or not. If a bird-like object was found to be greater than or equal to 50%, the system will send the status to the ESP8266 board and then perform a high-frequency repulsion by randomly selecting three types of frightening sounds, namely an eagle barking, a dog barking, and the sound of firecrackers. The research method is divided into four steps: planning, analysis, design, and implementation. The results demonstrated that the YOLOv6-s algorithm achieved an accuracy of 0.084. In terms of processing speed, it operated at 0.1 frames per second, and the F1-Score was determined to be 0.082. High-frequency sound can guard birds against a distance of 5 to 10 meters.
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