{"id":42164,"date":"2022-11-08T20:04:57","date_gmt":"2022-11-08T20:04:57","guid":{"rendered":"https:\/\/gsgf.greenschoolsgreenfuture.org\/?p=42164"},"modified":"2022-12-04T20:06:41","modified_gmt":"2022-12-04T20:06:41","slug":"ai-enabled-robotic-boat-cleans-up-harbours-and-rivers-to-keep-plastic-trash-out-of-the-ocean","status":"publish","type":"post","link":"https:\/\/gsgf.greenschoolsgreenfuture.org\/fr\/ai-enabled-robotic-boat-cleans-up-harbours-and-rivers-to-keep-plastic-trash-out-of-the-ocean\/","title":{"rendered":"AI-enabled robotic boat cleans up harbours and rivers"},"content":{"rendered":"

Millions of tons of plastic trash float down polluted urban rivers and industrial waterways and into the world\u2019s oceans every year. Now a Hong Kong-based startup has come up with a solution to help stem these devastating flows of waste.<\/p>\n

Open Ocean Engineering has developed\u00a0Clearbot Neo<\/a>\u00a0\u2013 a sleek AI-enabled robotic boat that autonomously collects tons of floating garbage that otherwise would wash into the Pacific from the territory\u2019s busy harbor.<\/p>\n

After a long developmental phase, its creators are planning to scale up and have fleets of Clearbot Neos cleaning up and protecting waters around the globe.<\/p>\n

The United Nations estimates that as much as\u00a095% of plastic pollution in the world\u2019s seas gets there via 10 major rivers, eight of which are in Asia<\/a>.<\/p>\n

And there are fears that the volume of plastic trash flowing into marine environments could\u00a0nearly triple by 2040,<\/a>\u00a0adding 23 to 37 million metric tons into the oceans per year.\u00a0That would be equivalent to about 50 kgs of plastic garbage per meter of coastline worldwide.<\/p>\n

\u201cIf we clean up our rivers and harbors, we are helping to clean up our oceans,\u201d says Clearbot Neo\u2019s co-creator Sidhant Gupta.<\/p>\n

At just three meters long and pushed along by a solar battery-powered electric motor, the Clearbot Neo systematically moves up and down designated sections of water \u2013 much like how a household robot cleaner moves across a living room floor.<\/p>\n

Unlike other and much larger marine trash collection solutions that are tackling pollution on the high seas, the compact nature of the Clearbot Neo makes it ideal for harbor, canal and river use.<\/p>\n

It skims the surface and scoops up floating trash onto an on-board conveyer belt fitted near its bow between its dual hulls and into a holding bin near its stern.<\/p>\n

Clearbot Neo uses AI to recognize and log the types of trash it collects and were.<\/p>\n

It can bring in as much as a metric ton of refuse per day for recycling or disposal. And when fitted with a bespoke boom, it can tackle localized oil and fuel spills by collecting up to 15 liters of pollutant a day.<\/p>\n

But this is more than just a simple clean-up machine. It also collects masses of data in the cloud using a two-camera detection system.<\/p>\n

One camera surveys the water\u2019s surface so the bot can identify rubbish and avoid marine life, navigational hazards and other vessels \u2013 making it safe and versatile for river and harbor work.<\/p>\n

The second camera photographs each piece of trash that lands on the conveyor belt and transmits its image and GPS location to the company\u2019s data compliance system, which is hosted on Microsoft\u2019s Azure platform.<\/p>\n

When this data is put together with variables, like sea current and tide information, environmentalists and marine authorities have a head start on identifying the sources of the trash. Water quality data is also fed into the cloud.<\/p>\n

Computer engineers Gupta and Utkarsh Goel founded their startup and began working on their Clearbot solution shortly after graduating from Hong Kong University in 2019.<\/p>\n

Their inspiration came during a trip to the Indonesian vacation island of Bali where they witnessed how local workers would take to the water every day in small boats and even on surfboards to manually fish trash out of the sea to keep the shoreline and beaches safe and clean for tourists.<\/p>\n

That got the two partners thinking: How could this slow and cumbersome process be automated?<\/p>\n

Gupta and Goel developed a basic aluminum prototype in Bali and upon their return to Hong Kong, upgraded to a fiberglass version. A series of prototypes followed with the sleek Clearbot Neo being the latest model.<\/p>\n

The most challenging part of the project was developing an AI model that could detect and identify waste in the water.<\/p>\n

\u201cWe simply didn\u2019t have the computing power available to train, run and test the models,\u201d Gupta says. \u201cThis is exactly where Azure comes in. We ended up getting an\u00a0AI for Earth<\/a>\u00a0grant from Microsoft in Spring 2020, and over the next year developed the AI model entirely on the Azure platform.<\/p>\n

\u201cIt took a while because initially we didn\u2019t have enough data to reasonably train it, but very quickly we ended up building out a model. We then put it on the robot and started training it for path planning, collecting waste and generating data.\u201d<\/p>\n

With the aid of GPS, Clearbot Neo can simultaneously clear the trash and produce a data point for each and every item collected \u2014 information that includes location, size, type, material and weight. After every mission, Azure\u2019s AI capabilities have already classified the Clearbot Neo\u2019s haul and added it to a growing database.<\/p>\n

\u201cWe use\u00a0Azure Functions<\/a>,\u00a0Azure\u00a0Container\u00a0Registry<\/a>\u00a0and\u00a0Container Instances<\/a>\u00a0to help us deploy our AI models as well as run our back-end systems,\u201d Gupta says.<\/p>\n

The hard data is actually more valuable than the physical material that is being collected. Only 20% to 40% of marine plastic waste in Hong Kong\u2018s waters can actually be recycled. Most of it is too contaminated or broken down to be usable.<\/p>\n

But with Clearbot Neo and Azure, \u201cWe\u2019re finding out how the trash ends up in the water in the first place,\u201d Gupta says. \u201cIt adds a lot of transparency to the process of marine clean-up. We generate data about what\u2019s actually in the water, what\u2019s the make-up of the stuff that\u2019s there, how much of it is recyclable and what materials we should be focusing on.\u201d<\/p>\n

With a wealth of information, Clearbot Neo and its target customers \u2014 companies, governments, non-government organizations and\u00a0individuals\u2014don<\/span>\u2019t need to extrapolate about the scope of the problem in their waters. They can track the origins of marine waste, then tackle pollution at the source.<\/p>\n

Recently Sino Group, a Hong Kong property company, acquired a model and will work with the Clearbot team on helping keep a yacht marina clean and testing the technology further.<\/p>\n

\u201cSino Group is committed to promoting sustainable living and green operation in the communities it operates and is keen to explore green and sustainable solutions for the property industry,\u201d says Andrew Young, who is associate director of the company\u2019s innovation department.<\/p>\n

\u201cWe find the electric-powered Clearbot is a viable solution for the marina at Gold Coast Yacht and Country Club to automate waste collection from the water\u2019s surface with its AI and self-navigate function. It is a green solution with no noise or air pollution. So, we are pleased to collaborate with Clearbot by providing the marina as a testbed for the solution.<\/p>\n

So far, the Clearbot Neo has been operating only in Hong Kong waters. Several potential customers in other countries have contacted Gupta and Goel, however, expansion has been temporarily hampered by pandemic travel restrictions.<\/p>\n

Confident that they have a global solution on their hands, Gupta and Goel see a future where coordinated fleets of Clearbot Neos are constantly patrolling waterways anywhere.<\/p>\n

\u201cThe entire challenge,\u201d Gupta says, \u201cis there are not enough resources to tackle the pollution problem\u2014 why is this so? Because there\u2019s no economic value there. At the moment you can add that, it\u2019s a different story.<\/p>\n

\u201cSo that\u2019s where we\u2019re coming from. What I\u2019m really happy about is we\u2019re able to do this work and do it profitably. We\u2019re able to take a broad vision and create something that\u2019s working very specifically.\u201d<\/p>\n

Written by Jennifer Deayton<\/p>\n

April 28, 2022<\/p>","protected":false},"excerpt":{"rendered":"

Millions of tons of plastic trash float down polluted urban rivers and industrial waterways and into the world\u2019s oceans every year. Now a Hong Kong-based startup has come up with a solution to help stem these devastating flows of waste. Open Ocean Engineering has developed\u00a0Clearbot Neo\u00a0\u2013 a sleek AI-enabled robotic boat that autonomously collects tons […]<\/p>","protected":false},"author":1,"featured_media":42165,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[20],"tags":[],"class_list":["post-42164","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-articles"],"acf":[],"yoast_head":"\nAI-enabled robotic boat cleans up harbours and rivers - GSGF news<\/title>\n<meta name=\"description\" content=\"AI-enabled robotic boat cleans up harbours and rivers - Green Schools Green Future\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"fr_CA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-enabled robotic boat cleans up harbours and rivers - 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