AI Based Air Quality Monitoring System
AI, Driven Real, Time Air Quality Intelligence for Smarter Environmental Monitoring.
Contact:
dheeraj@iitism.ac.in
Vision
An intelligent, scalable air, quality monitoring ecosystem using hybrid sensing, AI analytics, and real, time intelligence to enable proactive environmental management, healthier communities, and sustainable urban development.
Problem
Conventional air quality monitoring systems lack real, time intelligent analytics, limiting rapid pollution assessment and decision, making, thereby affecting public health, industrial safety, environmental monitoring agencies, and urban sustainability initiatives.
Solution
AQ, AIMS integrates hybrid sensors, AI, driven pattern recognition, and cloud, based analytics to deliver real, time pollutant tracking, intelligent air quality assessment, and continuous Air Quality Index monitoring.
Potential
AQ, AIMS can enable large, scale deployment across industries, smart cities, mines, and public spaces, benefiting millions through continuous environmental surveillance, early pollution alerts, and data, driven air quality management.
Target Beneficiaries
Beneficiaries include smart cities, industries, mining sectors, environmental agencies, healthcare organizations, research institutions, and urban populations across India and globally requiring intelligent real, time air quality monitoring.
Current Users
AQ, AIMS is currently deployed with the Goa State Pollution Control Board and has successfully undergone field testing in the Jharia Coalfield for environmental monitoring applications.
