Paper Contents
Abstract
This paper explores the potential of Internet of Things (IoT) technologies in revolutionizing modern warfare and enhancing Defense and Public Safety (PS) operations. The adoption of IoT has already proven beneficial for sectors dealing with complex processes and a large number of assets. By leveraging commercial IoT capabilities, Defense and PS sectors can achieve greater survivability for warfighters and first responders, while simultaneously reducing costs and improving operational efficiency. Through a survey of existing IoT systems in the military field and mission-critical scenarios, this study identifies gaps and shortcomings in current implementations. It also highlights tactical requirements and architectural considerations for the deployment of an affordable IoT infrastructure for defense and PS. The paper also emphasizes the significance of image and video processing in addressing security concerns. Specifically, it focuses on shredded document reconstruction and imagevideo enhancement in low and high dynamics scenarios. The experimental evaluation of key systems, including the Weapon System, Bluetooth System, Distance System, and GPS System, demonstrates their excellent performance in terms of accuracy, reliability, and responsiveness. These systems contribute to enhanced situational awareness, effective decision-making, and mission success. Furthermore, the evaluation of the face detection system using widely-used datasets showcases exceptional accuracy, with a detection rate of 99.8%. This highlights the system's effectiveness in accurately identifying and localizing faces, opening up potential applications in facial recognition and surveillance systems. The performance results obtained from this research underscore the reliability, efficiency, and effectiveness of IoT systems in military operations and techniques. They emphasize the importance of robust and efficient systems in achieving mission success and contribute to the advancement of military technologies.
Copyright
Copyright © 2023 Mansour Ali Ahmad Al-Helalat. This is an open access article distributed under the Creative Commons Attribution License.
