Growing vessel traffic, expanded use of uncrewed platforms, and increasing environmental and security demands have heightened the need for reliable underwater acoustic monitoring. Traditional detection methods rely on manual analysis, large fixed sensor networks, or delayed processing, limiting their effectiveness in dynamic ocean environments.
WhisperLoop is an AI-powered underwater acoustic monitoring system that uses machine learning and a compact towed hydrophone array for real-time vessel identification and classification on edge-based, uncrewed platforms.
It strengthens Canada’s ocean AI leadership, supporting maritime security, conservation, marine mammal protection, and sustainable ocean economy growth.
