Access to data collection is one of the primary barriers to deep-sea exploration. We are creating low-cost, easy-to-use deep-sea systems that gather the most critical data to inform environmental decision-making.
The 2022 Global Deep-Sea Capacity Assessment, conducted by the Ocean Discovery League, is a baseline assessment of the technical and human capacity for deep-sea exploration and research in every coastal area with deep ocean worldwide.
Enormous amounts of ocean video have been collected in the last few decades, but little has been viewed or analyzed. We are developing AI-driven tools to dramatically accelerate analysis of existing and newly acquired ocean video and imagery.
In this paper, we detail and provide open source access to the mechanical, electrical, and digital control design for the Maka Niu system, including the internal 3D-printed dry chassis; the battery management and sealed inductive charging system; and the Raspberry Pi camera and control subsystems.
The 2022 Global Deep-Sea Capacity Assessment includes online survey and manual research data for 186 geographical areas divided into six global regions: Europe, Asia, Northern America, Africa, Oceania, and Latin America & the Caribbean.
In partnership with Sharks Pacific, ODL is currently co-hosting a workshop for Cook Islanders ages 16-24 in ocean exploration, technology, and research using our Maka Niu camera and other technology.
ODL is part of a multi-disciplinary team recently awarded a $5M NSF Convergence Accelerator Grant to develop Ocean Vision AI (OVAI). OVAI uses the power of artificial intelligence to process ocean imagery.
The new paper in Nature Scientific Reports, "FathomNet: A global image database for enabling artificial intelligence in the ocean," documents our work on FathomNet, the open image database for training machine learning algorithms to help analyze ocean images and video.