Development of a UAV-type jellyfish monitoring system using deep learning

At present, unmanned aerial vehicles (UAVs) are the primary platforms widely used for environmental monitoring. The advantage of the UAV-type surveillance system is its low-cost with high observation performance. Using this system, we can extend the workable area of the jellyfish removal system. The proposed system observes jellyfish on the surface of the sea while flying, and can recognize a herd of jellyfish using deep learning. The preliminary results of the proposed system show that the proposed system improves the jellyfish removal system for efficient operation.