Year: 2024
Type: article
Abstract: Many researches have been conducted to prevent bird damage not only on farms, orchards, fish farms and airports but also on industrial and urban environments. In this paper, we describe the construction and effectiveness of a laser bird repellent system that scaring it away as soon as the bird settles in a large area. The object classification technique using the Caffe framework detects the bird in real-time captured images of a PTZ camera over a large area, and when the bird sinks into the area, the PTZ camera combining the laser beam generator is steered to the target bird, thereby scaring the bird away by attacking it by the laser beam.
Authors: Subong Pyon, Jongsu So, Junhyok Pak, Jinzu So, Sunil Kim
Institution: Kim Chaek University of Technology
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4403488786