  Near Earth Asteroids (NEAs) are discovered daily, mainly by few major
surveys, nevertheless many of them remain unobserved for years, even decades.
Even so, there is room for new discoveries, including those submitted by
smaller projects and amateur astronomers. Besides the well-known surveys that
have their own automated system of asteroid detection, there are only a few
software solutions designed to help amateurs and mini-surveys in NEAs
discovery. Some of these obtain their results based on the blink method in
which a set of reduced images are shown one after another and the astronomer
has to visually detect real moving objects in a series of images. This
technique becomes harder with the increase in size of the CCD cameras. Aiming
to replace manual detection we propose an automated pipeline prototype for
asteroids detection, written in Python under Linux, which calls some 3rd party
astrophysics libraries.
