Abstract
Implementation of Artificial Intelligence (AI) can revolutionize search and rescue (SAR) missions by generating profound situational awareness and prosecutable information for the first responders. This thesis, as part of the Master program Information System of The Department of Computer Science (IDI) at Norges Teknisk-Naturvitenskaplige Universitet (NTNU) that introduces a model which aims to support the integration of Artificial Intelligence (AI) in Search and Rescue (SAR) operations, thus called AISAR. AISAR’s main purpose is to enhance the efficiency and performance of SAR, with a focus on offshore rescue operations. Therefore, we collaborated with Hovedredningssentralen (HRS), which is responsible for organizing and managing SAR activities on land, at sea, and in the air in Norway.
Awareness is the initial and most important stage of any SAR operation, as it assesses the gravity of the reported emergency and classifies it in terms of uncertainty, alert, and distress. Here, we mainly focused on this most crucial awareness stage as its output tends to differentiate false alerts from an actual distress situation. In this thesis, we performed a thorough analysis of the awareness stage via identifying inputs, outputs and acquiring the knowledge involved for decision-making purposes with the help of enterprise modeling.
