Dr. Roee Diamant, Head of the Underwater Acoustics and Navigation Lab is leading the development of a deep learning system capable of identifying the number and types of fish in the water at any given time. “The system, capable of deep sea deployment, is a multimodal acousticoptic system that uses information from acoustic and optical waves in combination with data from optical cameras, to count the number of fish and detect their biomass for easy detection,” explains Dr. Diamant. “The data provides decision makers with real-time numbers to reduce overfishing and protect endangered marine life.” A prototype of the system recently concluded its final testing phase. The project is being developed with the participation of research institutes from Israel, Spain, Italy, and Germany and received funding from the EU Horizons 2020 program. >>READ MORE in Ynet (Hebrew)

*Courtesy: Underwater Acoustics and Navigation Lab