L2M – AI-Driven Subsea Video Enhancement with Advanced Filtering for Improved Visibility in Challenging Underwater Conditions

This project aims to enhance subsea video quality for improved underwater visual inspection and analysis, crucial for industries like offshore oil and gas, marine research, underwater construction, and maritime security. Leveraging advanced AI and machine learning techniques, we will address challenges like water turbidity, light attenuation, and visual distortions in underwater images. 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; Technology

University:

Memorial University of Newfoundland

Program: