• TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    Deep Eye – Intelligent Device for Creating Digital Models of Underwater Topography

    Industry 4.0, Vol. 9 (2024), Issue 4, pg(s) 126-129

    This project endeavors to advance underwater mapping technologies through the development of algorithms tailored for mapping, analyzing, and creating digital models of bathymetry. A key aspect of this research involves the integration of advanced technologies, specifically High-Definition cameras and a purpose-designed sonar system. By leveraging these tools, high-resolution point cloud data and precise representations of submerged geographical structures can be obtained. The project also aims to conduct a waterproof device, operated by a diver, incorporating both HD cameras and sonar sensors. This device will enhance data collection and mapping capabilities in challenging underwater environments, addressing complexities associated with underwater terrains. Several critical questions are central to this research. Primarily, the investigation seeks to understand how artificial intelligence algorithms can be optimized to harness the collective potential of HD cameras and the specially crafted sonar system. Additionally, the research endeavors to evaluate the comparative efficacy and accuracy of the proposed sonar system and HD cameras in underwater mapping, particularly under adverse environmental conditions where visibility is compromised by high particle concentrations. Througth these efforts, this project aims to contribute to the advancement of underwater mapping technologies, offering insights into optimizing sensor integration and algorithm development for enhanced mapping accuracy in challenging underwater environments.

  • DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”

    Advances in Sensory Systems for Unmanned Underwater Vehicles: A Preliminary Review

    Industry 4.0, Vol. 9 (2024), Issue 2, pg(s) 63-65

    Unmanned underwater vehicles (UUVs) are gaining traction in various fields, from oceanographic research to defence applications, due to their versatility and autonomy. This preliminary study explores the integration of Internet of Things (IoT) technology and beamforming techniques to enhance the sensory capabilities of UUVs. The study delves into the evolving landscape of sensory systems, emphasising the incorporation of IoT to enable seamless data exchange, real-time monitoring and adaptive decision making. It also examines the use of beamforming techniques in directional sonar sensing, highlighting their role in improving target detection, localisation and tracking capabilities in underwater environments. By synthesising current research and technological trends, this review provides valuable insights into the synergistic integration of IoT and beamforming techniques to enhance the capabilities of UUV sensor systems for diverse applications.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    Application of Neural Networks in Underwater Drone Control

    Industry 4.0, Vol. 9 (2024), Issue 2, pg(s) 52-55

    The integration of neural networks has revolutionised various technological domains, including the control mechanisms of underwater drones, especially in the context of Industry 4.0. This review explores the application of neural network architectures to improve the navigation, stability and overall performance of underwater drones. A systematic analysis of current methods is provided, focusing on their effectiveness in addressing challenges such as dynamic underwater environments, sensor noise, and real-time decision making. Key advances in neural network-based control strategies are discussed. Furthermore, the integration of these networks with traditional control systems to achieve robust and adaptive control frameworks is highlighted. Through the examination of case studies and experimental results, this review identifies potential areas for future research and development to further the advancement of autonomous underwater vehicles through intelligent control systems.