  The Dynamic Vision Sensor (DVS) has many attributes that allow it to be well
suited to the task for UAV Detection. This paper is the first to look at
exploiting the features of an Event Camera solely for Drone Detection while
combining it with a Spiking Neural Network (SNN) trained using the unsupervised
approach of Spike-Time-Dependent Plasticity (STDP) for feature and pattern
recognition for detection. Highlighting the key features and current drawbacks
with the technology while comparing real and simulated data to show how future
devices could overcome these drawbacks to help tackle this current problem.
