Identifying individual marine turtles is important for understanding population dynamics. However, turtle population studies are hampered by the loss of flipper tags and migration of Passive Integrated Transponder (PIT) tags. Imbricata is supporting research into the feasibility of using facial patterns to photo-identify adult green Chelonia mydas and hawksbill Eretmochelys imbricata turtles. Previous work has be refined by Bruna Calmanovici (UWA/Imbricata) to use I3S recognition program to efficiently detect individual turtles from an extensive database of photographs.
With support from government , NGOs and industry, this method could be used as a non-invasive method for tagging turtles.