[MUSIC].
You live in a city, you're probably aware of this, is that, most cities are highly
polluted. And sensors, could be for example, placed
on street lamps, poles, in other areas and cities at strategic locations.
To measure the amount of concentration in these cities, like if you look at a city
like Beijing you know, the toxic smog seems to be correlated with the 60%
increase in lung cancer, for example. And the reason is that there's been this
enormous growth over the last few years in the percentage of vehicles that
populate cities like Beijing, cities like Mumbai, cities like Delhi, and, and this
could cause, enormous health risks to the human population there.
So, you're what we envision is the use of sensor networks that could significantly
alleviate these problems by providing real time data on pollution levels.
Types of pollutants, such that, the public could be warned to keep inside
depending on the kind of pollution levels that are outside.
And this If we were to gather enough data the sensors could be employed
intelligently in a city. What could happen is that these triggers,
these alarms could be tailored for specific people with specific allergies.
Specific reactions, specific risk factors.
So that, you know, you don't just have this blanket policy that everybody
ignores. Saying that oh, today we have high smog
and, you know, most people just kind of stay, you know, either, you know, just
ignore it and still, still, still come to work.
In addition to that, if one is able to obtain long term fine resolution data,
this could be used to correlate ailments with the population types and level.
And this could in turn then be used for public policy.
It could also be used to develop better tools for medical intervention.
less harmful pollutants for the development of those.
If we were to know precisely what the causation was with medical ailments and
the type of pollutants that are in the air, and these sensing systems can be
used to do that through communication through these vast array of networks.