Today, we look back at our visit to the Fraunhofer Center for Maritime Logistics and Services (CML), where they gave us an exclusive look into their work for SeaClear2.0.
Watch the video below to explore how Remotely Operated Vehicles (ROVs) collect data for SeaClear2.0’s marine litter database.
Transcript
[Upbeat music playing]
Today, we look back at our visit at the Fraunhofer Center for Maritime Logistics and Services (CML) for an exclusive look into their work for SeaClear2.0.
Starting off with the hardware preparation.
Then the ROV is launched into the water.
The ROV dives into the water and circles the area scanning for litter.
The greatest marine litter accumulation is detected around the quay wall.
Pro tip: By using acoustic positioning systems, one can also monitor the ROV’s position.
CML’s tests simply aim to collect data for training the SeaClear2.0 robotic system’s AI model, so this step is not required.
The drawback is that to “smoothly sail” along the quay wall, the operator needs to manually estimate the ROV’s position.
Next step? [Upbeat music continues]