Transforming CCTV cameras into NO₂ sensors at city scale for adaptive policymaking.

ABSTRACT: Air pollution in cities, especially NO₂, is linked to numerous health problems, ranging from mortality to mental health challenges and attention deficits in children. While cities globally have initiated policies to curtail emissions, real-time monitoring remains challenging due to limited environmental sensors and their inconsistent distribution. This gap hinders the creation of adaptive urban policies that respond to the sequence of events and daily activities affecting pollution in cities. Here, we demonstrate how city CCTV cameras can act as a pseudo-NO₂ sensors. Using a predictive graph deep model, we utilised traffic flow from London's cameras in addition to environmental and spatial factors, generating NO₂ predictions from over 133 million frames. Ou

SUBMITTER: Ibrahim MR 

PROVIDER: S-EPMC11779846 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature