A collaborative initiative between academia and industry is underway to create an AI-driven real-time detection system designed to monitor marine mammals along the UK coastline. This project, part of a Knowledge Transfer Partnership (KTP), merges the expertise of the University of Plymouth and MSeis, focusing on marine conservation, robotics, and sensor technology.
Backed by Innovate UK, the team plans to integrate sophisticated computer vision models into MSeis’s dual-sensor thermal and optical camera platforms. This integration aims to automate the detection and identification of marine mammals and floating debris, enhancing both accuracy and operational efficiency. The development process is informed by expert spotters, ensuring that the system significantly improves offshore safety.
The initiative seeks to revolutionize a traditionally manual observation process, transforming it into a robust and scalable solution for environmental monitoring and marine risk mitigation. This is particularly timely as marine industries, especially offshore renewables and subsea operations, are experiencing rapid growth, increasing the demand for reliable environmental monitoring and wildlife protection.
With advancements in technology making real-time automated detection possible, this project not only aims to enhance safety in offshore operations but also contributes to long-term marine conservation efforts and the transformation of industry practices.
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