AI-Driven Space Debris Detection, Tracking and Removal System

Abstract: The increasing amount of orbital debris has become significant concern for modern satellite communication and space exploration activities. This paper presents an AI-enabled framework for detecting, tracking, and mitigating space debris using Artificial Intelligence (AI), Internet of Things (IoT), and predictive analytics. The proposed system continuously monitors orbital objects through intelligent sensing devices and analyzes orbital movement using Machine Learning and Deep Learning algorithms. The framework predicts collision risks, generates warning alerts, and supports automated mitigation mechanisms for improved orbital safety. The proposed approach aims to reduce collision probability, enhance monitoring accuracy, and promote sustainable space operations.

Keywords: Artificial Intelligence, Space Debris, IoT, Machine Learning, Collision Prediction, Orbital Monitoring.