Skip to main content The Moonshot Factory
The Everyday Robot Project is prototyping a robotic system that can operate autonomously in unstructured human environments.
In development

Tidal

Protecting the ocean while feeding humanity sustainably

The challenge

The ocean is critical to life on earth. It covers over 70% of our planet, and nearly 40% of the world’s population live within 60 miles of the sea. The ocean provides oxygen, food, and livelihoods for billions of people. But humanity is pushing the ocean past its breaking point. Pollution, rapid acidification, and unsustainable fishing practices are destabilizing oceanic ecosystems, from tropical reefs to the Arctic, advancing a chain reaction of damage that threatens both aquatic and human life.

Today, half of the world relies on fish as a major source of animal protein, but nearly 90% of our wild fishing stocks are depleted. With our global population expected to balloon to 10 billion people by 2050, there is an urgent need to find new ways to nourish our growing global population without damaging the ocean.

In order to meet humanity’s growing protein needs, we need to be able to expand ocean farming. However, fish farmers do not have all of the tools they need to farm sustainably. They operate without consistent objective information about the health of their fish or the environment they swim in, and constantly have to manage challenges from pests like sea lice and pollution from uneaten feed. This lack of information can lead to outbreaks of disease and pollution, which is costly both for the farmers and the environment. Helping fish farmers find environmentally friendly ways to run and grow their operations could prove critical both for feeding humanity and to protect the health of the ocean.

Building robots that can operate autonomously in unstructured human environments, like our homes and offices, is a complex, unsolved problem.

Tidal’s underwater camera system and machine perception tools are bringing visibility to our ocean ecosystems so we can better understand and protect them

Journey

From a kiddie pool to the Arctic Circle

Tidal started with a small team eager to find ways to address climate change and aid in the global food crisis. On both fronts, the ocean is one of our greatest assets—it is the world’s largest carbon sink and provides food security for 3 billion people with nutritious low carbon sources of protein including fish, shellfish, and sea vegetables.

Journey photo.
Journey photo.

The Tidal team saw an opportunity to use technology to help fish farmers improve their feeding methods, monitor fish health, spot pests, and reduce waste by giving them more insight into what is happening beneath the waves at their farms. The team set out to develop a system of cameras, sensors and machine perception tools that could continuously see, sense, and survive in the harsh ocean environment.

The earliest tests of the system were in a kiddie pool at the X lab. As the system became more sophisticated, the team brought several prototypes to Norway for extensive testing in ocean farms. The team tested the system in different locations in the ocean—from protected fjords in the Arctic Circle, to the open ocean in the North Sea—where environmental conditions like temperature, currents, and the power of waves vary greatly.

Journey photo.
Journey photo.

While in Norway, the team captured millions of images of fish to train their machine learning systems to identify and interpret how the fish were behaving, and collected environmental data like temperature and salinity to better understand the environment the fish swim in.

Today, the Tidal system is able to continuously monitor fish underwater while surviving the rough oceanic conditions like frigid temperatures, salt water (which causes corrosion), and strong currents. The system can detect and interpret fish behaviors (such as feeding) and model fish behaviors over time—all of which can help fish farmers make better, more environmentally-friendly decisions about fish feeding, welfare, and health.

Journey photo.

Design

Tidal’s underwater camera and machine perception tools can interpret complex oceanic environments

1 - Camera and Computer Vision

Continuously collecting and interpreting images of fish helps farmers understand how the fish are growing, identify disease, and monitor behaviors like feeding.

2 - Environmental Sensors

Collecting a mix of environmental data like temperature and salinity helps identify patterns between fish health and the environment.

Design photo

Tidal’s underwater system is designed to withstand frigid temperatures, corrosion, and strong currents in remote locations

Design photo

360 degree visibility

The camera can rotate 360 degrees to capture a complete picture of what’s happening underwater.

Machine learning

Machine learning makes it easy to quickly process and interpret images in remote locations.

Interpreting fish health and behavior

The insights from Tidal’s system help with day-to-day decision making on the fish farm, like determining how much feed is needed to keep the fish healthy while reducing waste. Much of the information the Tidal system gathers is not detectable to our human senses and happens in milliseconds.

Design photo

Today

Getting our feet wet with ocean farmers in Norway

Today, Tidal is working with a producer of Atlantic salmon to deploy its system to ocean farms in Norway. By exploring new tools that can help fish farmers run and grow their operations more sustainably, Tidal is making progress on a small corner of the problems facing our ocean.

But this is just the beginning. The team is also working with ocean health experts to determine how machine learning models and underwater vision and sensing systems can help find new ways to protect the ocean.