A Deep Learning Framework for Real-Time Bird Detection and Its Implications for Reducing Bird Strike Incidents
Najiba Said Hamed Alzadjail,
Sundaravadivazhagan Balasubaramainan,
Charles Savarimuthu
et al.
Abstract:Bird strikes are a substantial aviation safety issue that can result in serious harm to aircraft components and even passenger deaths. In response to this increased tendency, the implementation of new and more efficient detection and prevention technologies becomes urgent. The paper presents a novel deep learning model which is developed to detect and alleviate bird strike issues in airport conditions boosting aircraft safety. Based on an extensive database of bird images having different species and flight pa… Show more
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