kumoh national institute of technology
Networked Systems Lab.

Ann Janeth Garcia, Jae-Min Lee and Dong-Seong Kim, "Anti-Drone System: Visual-based Drone Detection using Neural Networks" 2020 ICTC, Oct. 21-23, Jeju, Korea. N8 (S)
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Date : 2020-06-29
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A system that secures an area from trespassing drones that might bring threat is in demand these days since drones became easily-available to the public and it became easier to operate. This paper proposes an anti-drone system that uses visual sensing to detect drones. A Faster R-CNN (Region-based Convolutional Neural Network) with ResNet-101 (Residual Neural Network-101) networks are used in this paper using a dataset from the SafeShore project. The network's accuracy is 93.40\% and it has successfully detected drones in the simulation that has been done.