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The Dynamic Vision Sensor (DVS) has many attributes that allow it to be wellsuited to the task for UAV Detection. This paper is the first to look atexploiting the features of an Event Camera solely for Drone Detection whilecombining it with a Spiking Neural Network (SNN) trained using the unsupervisedapproach of Spike-Time-Dependent Plasticity (STDP) for feature and patternrecognition for detection. Highlighting the key features and current drawbackswith the technology while comparing real and simulated data to show how futuredevices could overcome these drawbacks to help tackle this current problem.

UAV Detection: A STDP trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach