L2M – Integrated 3D Reconstruction and SLAM for precise 3D visualization and localization of underwater assets

Our project integrates AI-driven Simultaneous Localization and Mapping (SLAM) with cutting-edge 3D reconstruction techniques to provide precise localization and high-fidelity 3D visualizations of underwater features. This fusion enables accurate measurement of size, depth, and spatial orientation of anomalies, enhancing inspection precision. By adopting this technology, industries can improve inspection accuracy, streamline maintenance, and reduce operational costs. Additionally, it boosts safety and efficiency, leading to better management and extended operational life of subsea assets. Through the Lab2Market Validate program and the Mitacs Business Strategy internship, we aim to develop commercially viable solutions tailored to the unique conditions of the Atlantic Ocean. This collaboration will help bridge the gap between innovative academic research and practical applications, enhancing the safety and efficiency of underwater operations and creating valuable commercialization opportunities for advanced technological research.

Faculty Supervisor:

Stephen Czarnuch

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Artificial Intelligence; Ocean Tech

University:

Memorial University of Newfoundland

Program: