  In this paper, we present a development process of a drone detection system
involving a machine learning object detection component. The purpose is to
reach acceptable performance objectives and provide sufficient evidences,
required by the recommendations (soon to be published) of the ED 324 / ARP 6983
standard, to gain confidence in the dependability of the designed system.
