  In the past two decades an increasing interest in discovering Near Earth
Objects has been noted in the astronomical community. Dedicated surveys have
been operated for data acquisition and processing, resulting in the present
discovery of over 18.000 objects that are closer than 30 million miles of
Earth. Nevertheless, recent events have shown that there still are many
undiscovered asteroids that can be on collision course to Earth. This article
presents an original NEO detection algorithm developed in the NEARBY research
object, that has been integrated into an automated MOPS processing pipeline
aimed at identifying moving space objects based on the blink method. Proposed
solution can be considered an approach of Big Data processing and analysis,
implementing visual analytics techniques for rapid human data validation.

Instrumentation and Methods for Astrophysics;Computer Vision and Pattern Recognition;Distributed, Parallel, and Cluster Computing