How AI Is Helping Us Clean the Ocean

Estimated read time: 1:20

    Summary

    The Ocean Cleanup is utilizing AI technology to tackle plastic pollution in the oceans by converting ships into a research fleet through the deployment of their Automated Debris Imaging System (ADIS). ADIS uses an intelligent camera system powered by AI to identify plastic waste in the water and map its locations. This technology aids in enhancing operations and understanding global plastic density hot spots, contributing to cleanup strategies. ADIS is easy to install on any ship, forming a collaborative research network to increase global coverage of pollution studies. Hyundai Glous ships are key partners in deploying ADIS, which is significantly enhancing data collection and offers open-source access for worldwide use.

      Highlights

      • Using AI, The Ocean Cleanup is transforming ships into a research fleet to tackle ocean plastic pollution. πŸ€–
      • ADIS is an AI-powered camera system that identifies plastic waste in the water. 🌐
      • Once offshore, ADIS collects images and only retains relevant data to save space. πŸ“·
      • The initiative is supported by Hyundai Glous, contributing to global plastic pollution studies. 🚒
      • ADIS' data helps map plastic waste hotspots, aiding in effective cleanup strategies. 🧹

      Key Takeaways

      • AI technology is helping to clean the ocean by tracking plastic waste. 🌊
      • ADIS is a camera system that uses AI to spot plastic in the water. πŸ“Έ
      • Ships equipped with ADIS become part of a research network, expanding coverage of plastic pollution studies globally. 🚒
      • Data collected by ADIS is used to create visualization maps and inform cleanup strategies. πŸ—ΊοΈ
      • ADIS data is made open-source to aid global efforts in tackling ocean pollution. 🌍

      Overview

      The Ocean Cleanup has embarked on an innovative journey using AI technology to bolster their mission against oceanic plastic pollution. By leveraging the Automated Debris Imaging System (ADIS), they are converting everyday ships into advanced research vessels capable of identifying and mapping plastic waste across global waters. With AI at their helm, this approach promises to revolutionize the way we study and address one of the planet’s most pressing environmental challenges.

        ADIS, a groundbreaking camera system infused with artificial intelligence, is easy to install on any vessel, contributing to a vast international research network. Its inclusion in the United Nations Ocean Decade underscores its significance in providing a cost-effective tool for monitoring plastic debris. This system captures images of floating plastics and processes them through AI, creating a comprehensive visualization map, crucial for strategizing cleanup efforts.

          Partnerships, such as with Hyundai Glous, are pivotal to the ADIS project's success, offering crucial support in expanding the fleet of participating ships. By generating open-source data, ADIS ensures accessibility, enabling global stakeholders to collaborate in tackling marine pollution. The initiative represents an intersection of technology and conservation, aimed at sustaining our ocean ecosystems for future generations.

            Chapters

            • 00:00 - 00:30: Introduction to the Ocean Cleanup The chapter introduces the concept of converting existing ships into a research fleet using AI to combat plastic pollution, which is a significant threat to the world's oceans. It highlights the importance of data in understanding and solving this global problem as part of the mission at the ocean cleanup.
            • 00:30 - 01:00: Increasing Operations Effectiveness The chapter titled 'Increasing Operations Effectiveness' discusses strategies to enhance operational efficiency in the ocean project. The focus is on targeting areas with high plastic density, also known as 'hot spots', to optimize plastic harvesting. The chapter highlights past achievements, including the use of vessels and aerial expeditions to collect plastic samples and data. The research team's efforts since 2016 underline the commitment to refine operations by concentrating on these critical areas.
            • 01:00 - 01:30: The Birth of ADIS The chapter 'The Birth of ADIS' discusses the emergence of the Automated Debris Imaging System (ADIS). Inspired by the lessons learned from the Great Pacific Garbage Patch, ADIS was developed to use imagery technology to gather extensive data on floating plastic debris. Unlike the previous methods that were limited to a single flight and not scalable, ADIS provides a more efficient solution. It is an intelligent camera system equipped with AI, designed to operate easily and at a larger scale.
            • 01:30 - 02:00: Collaborative Efforts and Partnerships The chapter titled "Collaborative Efforts and Partnerships" describes the installation and operation of ADIS, a system designed to study plastic pollution, on ships. The importance of partnerships is highlighted, as ships with ADIS become part of a vast research network focused on global plastic pollution studies. The process begins with identifying vessels of opportunity, emphasizing the crucial role played by partners in the project.
            • 02:00 - 02:30: Technical Operation of ADIS In this chapter, the focus is on the technical operation of the Automated Data Integration System (ADIS) on Hyundai's Globus vessels. Hyundai has been a key partner since 2023 in providing the necessary ships for this project. The chapter details the installation of an additional unit of the latest generation ADIS, emphasizing the partnership's significance. It also highlights the automation feature, where the camera's GPS ensures it activates only when the ship is outside of an exclusive economic zone.
            • 02:30 - 03:00: Data Transmission and Mapping The chapter discusses the process of how the vessel, once offshore, uses ADIS to capture and process images with integrated AI that identifies plastic waste. The system saves space by retaining only the relevant parts of the image. Upon nearing the shore, the data is transmitted to the ADIS database. Specialized software then combines all collected data to create a data visualization map known as the ADIS data visualization map. The development and refinement of this process were led by Robin and his team.
            • 03:00 - 03:30: Development and Recognition of ADIS The chapter discusses the development and recognition of ADIS, a system initially built as a proof of concept using GoPros, in collaboration with Ozone Technologies, leading to the current version ADIS 2. ADIS is significant enough to be included in the United Nations Ocean Decade initiatives due to its cost-effective method of monitoring and digitally representing plastic debris concentrations in the ocean. It continuously collects data, enabling the study of trends and patterns over various timescales, including seasons and years.
            • 03:30 - 04:00: Significance and Open Source Data The chapter titled 'Significance and Open Source Data' highlights the importance of open source data in assessing the effectiveness of cleanup efforts and policies. It mentions the global crisis of plastic pollution and its negative impact on wildlife and ecosystems. The chapter encourages readers to explore more about the mission on their website and invites them to share ideas on how AI could be used to enhance the impact of these efforts.

            How AI Is Helping Us Clean the Ocean Transcription

            • 00:00 - 00:30 thousands of ships move around the world's oceans all day every day so we thought how do we convert some of them into a research fleet with the help of AI plastic pollution is one of the biggest threats our oceans face today and our mission is to clean it up in order to solve a problem this big we must understand it on a global scale for us at the ocean cleanup data is key
            • 00:30 - 01:00 and specifically for the ocean project it will help us to increase the effectiveness of our operations we've been successful thus far with harvesting large amounts of plastic the next step for us is to make sure we operate in those areas where the plastic density is the highest the so-called hot spots and that's why we have our very own research team in the past this team has made a huge effort to cross oceans with vessels and even an airplane to take plastic samples and gather data in 2016 they went on an aerial expedition to the
            • 01:00 - 01:30 Great Pacific Garbage Patch which taught us that imagery can be a really good tool to gather data on large floating plastics however it was only on one flight and it's not very scalable and this got us thinking how can we use technology to gather this kind of data at an even larger scale and that's how ADIS was born adis stands for automated debris Imaging System it's an intelligent camera system that uses AI on board it's a very easy system to
            • 01:30 - 02:00 install on any ship and it's also highly robust in order to fulfill its purpose ADIS needs to be out on the ocean as much as possible and nothing sees more of the ocean than ships with ADIS on board vessels become part of a massive research network helping to expand global coverage of plastic pollution studies that's why it's a very collaborative project the first step is finding a vessel of opportunity and that's where our partners play a crucial role today we're at Glover Sunlight
            • 02:00 - 02:30 Vessel and this is one of Hyundai's Glous ships they have been a key partner in getting us the ships of opportunity required for ADIS and today we're installing an extra unit of this latest generation ADIS hyundai Globus has supported this effort since 2023 as ADIs installation is a core project of our partnership the camera's GPS ensures that it turns on automatically only once the ship is no longer in an exclusive economic zone
            • 02:30 - 03:00 so once the vessel is offshore ADIS gets to work by capturing and processing images the integrated AI identifies plastic waste in the water and to save space retains only the relevant parts of the image when the vessel is close to shore it transmits the data to the ADIS database from there specialized software combines all collected data and maps it generating the ADIS data visualization map to get to this version Robin and his
            • 03:00 - 03:30 team first had to build a proof of concept using GoPros along with the expertise of Ozone Technologies they improved it towards the current version ADIS 2 atis is so groundbreaking that it's part of the United Nations Ocean Decade as it offers a lowcost solution to monitor and digitally represent plastic debris concentrations in the ocean adis collects data continuously and that allows us to build trends and to look into uh patterns through seasons but even through years and this allows
            • 03:30 - 04:00 us to see if cleanup efforts or cleanup policies have an effect the best part is that this data will be available open source for everyone to use in the coming years this is one of the many ways we are tackling this global crisis that requires urgent action plastic pollution is increasingly harming wildlife and ecosystems and we need to do something about it find out more about our mission on our website and tell us in the comments how would you use AI to accelerate our impact