How AI is making affordable air pollution sensors more accurate

Nebel, Jean-Christophe and Rahman, Farzana (2025) How AI is making affordable air pollution sensors more accurate. The Conversation.

Abstract

Clean air is a fundamental right. However, every day, 100 children under the age of five tragically lose their lives in east Asia and the Pacific due to a silent killer – air pollution. In response to this crisis, huge investments have been made in outdoor air pollution monitoring systems. These fridge-sized monitoring stations are expensive costing at least £10,000 each, so scaling this up everywhere isn’t financially viable. Now, a new generation of small, roaming air sensors could better inform people about pollution levels in their local area. Currently, these sensors just aren’t precise enough. Our recent research shows that AI could enhance their accuracy by up to 46%.

Actions (Repository Editors)

Item Control Page Item Control Page