Updated on 9 September 2026
DeepSonar: Dual-engine identification of ships from hydrophones
CTO at DTec Biometrics
Madrid, Spain
About
Passive sonar information captured from hydrophones installed in ships or submarines can be analysed in real-time for automatic detection and identification of ships. The project will be developed in two stages:
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Generic ship classes and non-ship special events (like seismic activity, marine mammals or other human activity) will be detected.
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Specific vessels will be registered, detected and identified.
Taking advantage of our expertise in related technologies, a combined approach of AI deep learning and supervised stochastic models is envisioned as an hybrid solution. Specific advanced signal processing, filtering and enhancing techniques will be applied as a front-end before the automatic pattern recognition module.
We are looking for an industrial partner for technological and commercial cooperation.
Organisation
Similar opportunities
Expertise
NDT for predictive maintenance and condition monitoring based on audio signals
Rafael Delgado
CTO at DTec Biometrics
Madrid, Spain
Project cooperation
Maritime, Port and Sustainable Transport Expertise for Horizon Europe 2027
- Smart Mobility
- Completing the consortia
- Partner seeks Consortium
- Smart and Renewable Energy
- Design - setting the project scope
- Drafting - writing the project proposal
- Twin Green and Digital Transformation of Industry
- Partner offers specific expertise / technical solution
- Ideation - identifying the project idea / Concept note/ Idea
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Sedat Baştuğ
Assoc.Prof.Dr. / Bandirma Onyedi Eylül University Maritime Faculty at Bandırma Onyedi Eylül University
Bandirma, Türkiye
Project cooperation
StressMonitor: pilot and driver assessment from the voice signal
Rafael Delgado
CTO at DTec Biometrics
Madrid, Spain