Ocean particle measurement technology using the Event-based Vision Sensor (EVS)

The event-based vision sensors (EVS) are biology-inspired devices designed to capture the detailed movement of objects and are applied as the “eyes” of machines such as factory automation robots. Compared to conventional frame-based image sensors as employed in video cameras, EVS has an extremely fast motion capture equivalent to 10,000-fps even with standard optical settings and additionally has high dynamic ranges for brightness and also lower consumption of memory and energy.

Here, we developed 22 characteristic features for analysing the motions of aquatic particles from the raw data of the EVS and deployed the EVS system in both natural environments and laboratory aquariums to test its applicability to filming and analysing plankton behaviour.

In the session, we will present the results of behavioral analyses of jellyfish and plankton conducted using the EVS in the laboratory, as well as experimental findings from direct observations of biological and non-biological particles, such as plankton, larvae, and sinking aggregates, using the EVS enclosed in a pressure-resistant container.