• Augmenting Air Quality Monitoring Networks

The AUM system (patent pending) is an innovative application of the principles of laser backscattering, statistical mechanics, optoelectronics, artificial intelligence, machine/deep learning, and Internet of Things. It can identify, classify, and quantify various pollutants simultaneously (of orders of less than one part per billion) and meteorological parameters, with very high precision, sensitivity and accuracy.

AUM was successfully evaluated during laboratory trials with gold standards (in collaboration with EffecTech, UK), and also compared in the field with imported systems from France, and Australia and operated by Karnataka State Pollution Control Board under the aegis of the Central Pollution Control Board of India.

About the system:

The AUM system (patent pending) is an innovative application of the principles of laser backscattering, statistical mechanics, optoelectronics, artificial intelligence, machine/deep learning, and the Internet of Things.

It can identify, classify, and quantify various pollutants simultaneously – of orders of less than one part per billion – and meteorological parameters, with very high precision, sensitivity and accuracy.

AUM was successfully evaluated during laboratory trials with gold standards and operated by Karnataka State Pollution Control Board under the aegis of the Central Pollution Control Board of India.

Need of the system:

Air pollution causing a large number of fatalities: World Health Organisation (WHO)’s reports show that the worsening state of poor air quality is responsible for more than 7.5 million fatalities worldwide annually.

This highlights the necessity for accurate, yet cost-effective monitoring of air quality parameters as monitoring is critical to the solution.

Merits over conventional System: It is portable, compact, low powered and economical, works on plug-and-play systems, requires no setting uptime, and no additional civil infrastructure for housing.

It provides information on all gases and meteorological parameters simultaneously.

It is a non-intrusive remote, real-time monitoring system with very high sensitivities and accuracies and is capable of monitoring in both spatial and temporal domains.

Also, the data can be seamlessly streamed to a cloud server, from where digestible real-time encrypted information on the dashboard is made available to users at any part of the world. This system can boost the nation’s efforts toward self-reliance in high-end technologies and can additionally be instrumental in supporting the endeavors in improving the nation’s health and economy.