HYDERABAD: NEERI develops AI dashboard to track pollution
HYDERABAD: Scientists at National Environmental Engineering Research Institute have developed an artificial intelligence-based dashboard that estimates vehicle emissions on roads in real time.
The system, called the “AI-integrated line source emission inventory”, assesses pollution generated by traffic and identifies high-emission zones in cities.
Uses CCTV data and deep learning models
Developed under the guidance of NEERI director S. Venkata Mohan, the research team led by Rahul and K. V. George shared details of the project.
The dashboard uses feeds from CCTV cameras in cities. With deep learning technology, it identifies the number and type of vehicles on roads, including two-wheelers, cars, buses and autorickshaws.
Based on this data, it calculates emission levels in real time.
Tracks key pollutants and supports urban planning
The system measures pollutants such as particulate matter (PM), nitrogen oxides, carbon monoxide and hydrocarbons.
Using GIS mapping, it shows which roads and time periods record higher pollution levels.
Venkata Mohan said the data can support faster decisions in traffic management, urban planning and air quality management. The dashboard can be implemented in any city with CCTV server infrastructure.
