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Our solution

AI-powered detection, from the air to the map

Raw photograph of grey beach sand scattered with small white plastic pellets, shells and driftwood
Raw image

A single frame from a Danish beach, exactly as the camera captures it.

Beach photograph with green hand-drawn boxes marking each piece of microplastic waste
Human annotation

It takes a human up to 5 minutes to localize and annotate every plastic pellet.

The same beach photograph with purple boxes and confidence scores marking each detected plastic pellet
AI detection

Race for Oceans Technology's AI models localize and map plastic pellets in less than a second.

Our own software & AI platform

We build our software and train our AI models in-house. Data comes from high-resolution drone imagery and from app users on the ground, creating a growing dataset of visible microplastics on land. Our models are trained for the terrain where conventional detection fails, which allows us to identify, classify and map waste down to 2 mm.

The platform turns every frame into geolocated data: location, density and trends over time, surfaced through dashboards and APIs. That insight guides autonomous collection robots to the pollution, and it supports decisions for governments, municipalities and private stakeholders. What looks like plain sand to the eye becomes precise and countable data, and easily allows for removal of at least 90% of visible microplastics.

Each survey produces an automated report that quantifies the pollution, maps its location, and outlines a cleanup plan with estimated time, effort and impact.

From drones to collection robots

  1. 01

    Survey

    Drones capture high-resolution imagery of the coastline.

  2. 02

    Detect & map

    Our AI models analyse the imagery to locate visible microplastics and map their distribution.

  3. 03

    Report

    The findings are compiled into a detailed report covering:

    • Pollution levelsHow much microplastic is present
    • LocationWhere it is concentrated
    • Cleanup planThe most effective way to remove it
    • Time & costEstimated cleanup time and projected price
Aerial view of a Nordic beach with a survey drone in flight, a small collection robot on the sand, and an automated survey report dashboard overlay showing microplastic density maps and cleanup metrics
Closed-Loop Intelligence

One loop: the drone sees, the model understands, the robot acts, and the next flight proves the work.

How it works

Three steps from flight to field decision

  1. 01

    Capture

    A drone flies a defined survey route and records high-resolution imagery of the shoreline or site.

  2. 02

    Detect

    Our AI models scan every frame and identify, classify and map visible waste from 2 mm upwards.

  3. 03

    Collect

    Density maps guide cleanup, and small collection robots pick up only what does not belong in nature.

Who we work with

Governments

Compare pollution levels between regions using one consistent method. Report on national and EU commitments with field measurements instead of estimates.

Municipalities

Know which stretches of coast are worst affected before sending a crew out. Document what was removed, where, and how the situation develops season by season.

Private stakeholders

Producers, ports and transporters can quantify what is escaping around their own sites. That turns plastic pellet loss from an unknown liability into a number that can be reduced.

Want actionable data on visible microplastics?

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