Plane’s Detection in Border Area Using Modern Deep Learning Methods
Cherifa Nakkach, Amira Zrelli, Tahar Ezzedine · 2022
Border surveillance is the utmost concerns of any country. In order to maintain peace and ensure the safety of the people, borders need to be controlled 24/7. To curb activities such as illegal movement of beings and terrorist attacks, it becomes crucial to use modern smart technology. Deep learning is one of these advanced technologies. It has shown tremendous promise in this field. One of its potentials is object detection. It has achieved auspicious results concerning the finding of an object in images. The objective of this paper is to annotate and localize planes in images detected by cameras in order to supervise the borders of a country. So, a comparative study is represented.