  The survey of the nearby space and continuous monitoring of the Near Earth
Objects (NEOs) and especially Near Earth Asteroids (NEAs) are essential for the
future of our planet and should represent a priority for our solar system
research and nearby space exploration. More computing power and sophisticated
digital tracking algorithms are needed to cope with the larger astronomy
imaging cameras dedicated for survey telescopes. The paper presents the NEARBY
platform that aims to experiment new algorithms for automatic image reduction,
detection and validation of moving objects in astronomical surveys,
specifically NEAs. The NEARBY platform has been developed and experimented
through a collaborative research work between the Technical University of
Cluj-Napoca (UTCN) and the University of Craiova, Romania, using observing
infrastructure of the Instituto de Astrofisica de Canarias (IAC) and Isaac
Newton Group (ING), La Palma, Spain. The NEARBY platform has been developed and
deployed on the UTCN's cloud infrastructure and the acquired images are
processed remotely by the astronomers who transfer it from ING through the web
interface of the NEARBY platform. The paper analyzes and highlights the main
aspects of the NEARBY platform development, and the results and conclusions on
the EURONEAR surveys.
