Aleksandr Ivanov

This project is based on the new paradigm of "flow as information", a groundbreaking approach for underwater sensing of multiscale flows in Nature. It will lead to new, optimized devices and methods to measure, classify and explore the underwater environment when traditional methods are too expensive or simply do not work. Flow as information is inspired by aquatic animals who have evolved advanced sensory systems which combine sensing and information processing into a single framework. The proposal will advance TalTech's underwater sensing technologies from working prototypes (TRL3 to TRL5) to tests in relevant operational environments (TRL6), and support technology transfer to Estonian and international firms. These devices and methods will provide researchers, industry and authorities with new and reliable sources of flow data during extreme climate and weather events where conventional devices fail and when critical infrastructure is at risk, such as during storm surges and floods.

This project develops a new real-time computer vision system for underwater freshwater camera systems. The methods include edge fish detection as well as an automated server-based platform for fish species, size and migration behaviour. In addition to the hardware and software models, the project also provides a web-based user interface to configure, view preview images and videos, annotate, retrain and update computer vision models.