# NEARBY Platform for Detecting Asteroids in Astronomical Images Using Cloud-based Containerized Applications

## TL;DR

The paper introduces NEARBY, a cloud-based platform that automates the detection of asteroids in astronomical images, enabling near real-time processing of large survey data for planetary defense.

## Contribution

It presents a novel software platform that combines classic detection methods with visual analysis tools for asteroid identification in large astronomical datasets.

## Key findings

- Supports automated asteroid detection from astronomical images
- Enables near real-time processing of large survey data
- Provides visual validation tools for moving source analysis

## Abstract

The continuing monitoring and surveying of the nearby space to detect Near Earth Objects (NEOs) and Near Earth Asteroids (NEAs) are essential because of the threats that this kind of objects impose on the future of our planet. We need more computational resources and advanced algorithms to deal with the exponential growth of the digital cameras' performances and to be able to process (in near real-time) data coming from large surveys. This paper presents a software platform called NEARBY that supports automated detection of moving sources (asteroids) among stars from astronomical images. The detection procedure is based on the classic "blink" detection and, after that, the system supports visual analysis techniques to validate the moving sources, assisted by static and dynamical presentations.