SACAQM featured on Radio 786 for AI-driven air quality monitoring

The AI-driven air quality monitoring system developed by the South African Consortium of Air Quality Monitoring at University of the Witwatersrand was recently highlighted in a radio interview on Radio 786, showcasing its impact on environmental monitoring in Johannesburg.

During the interview, SACAQM explained how the system combines cost effective sensors with artificial intelligence to collect and analyze air quality data in real time, addressing the challenge of transforming large volumes of data into actionable insights.

The discussion revealed that air pollution is not constant but occurs in moving “clouds,” leading to short periods of high exposure. By leveraging AI, the system can detect these patterns and generate timely alerts, helping citizens take preventive actions and reduce health risks.

In addition, the system provides valuable data to support policymakers in identifying pollution sources such as traffic, industrial activity, and illegal burning, enabling more informed environmental decisions.

🎧 If you would like to hear the full discussion, you can listen to the radio interview on Radio 786 : https://www.radio786.com/