Seatrade-Maritime: Satellite spectrometry upgrade for Eyesea pollution app

Pollution mapping non-profit Eyesea has announced the launch of its new pollution monitoring and reporting app.

The app will enable crowdsourced pollution reporting by seafarers, port operators, and coastal observers who can contribute to a global dataset by logging pollution sightings in real time. On-device computer vision models can identify pollution type and estimated weight.

The data will be used by predictive models to help identify pollution trends and high-risk zones, the company said.

“This launch represents a significant leap forward in how we understand and respond to ocean pollution,” said Eyesea founder, Graeme Somerville-Ryan. “From the beginning, our vision has been to build a global community — seafarers, coastal observers, companies, and citizens — all contributing to a shared, transparent picture of ocean health. This app turns that vision into reality by giving everyone the tools to take part, make a measurable impact, and monitor ocean health.”

Eyesea said the app’s use of satellite-based spectrometry to detect and analyse oil spills and plastic pollution added unprecedented accuracy and scale to its capabilities.

Marius Suteu, chief technology officer of Eyesea, said: “We’ve moved from a simple reporting tool to a fully integrated intelligence platform — combining human observations, machine learning models, and now satellite spectrometry. This allows us to validate data, scale insights globally, and deliver a level of precision and coverage that simply wasn’t possible before.”

The satellite spectrometry boosts Eyesea’s ability to validate and augment user-reported data, bridging the gap between localised observations and global monitoring systems.

Mapping tools integrated into the app enable visualisations for users in shipping, logistics, and environmental sectors, with custom dashboards allowing individuals and organisations to monitor, analyse and act on Eyesea’s pollution data.

Late last year, Eyesea announced a new AI system in partnership with EVI Safety Technologies for the detection and automatic reporting of containers overboard.