[Applause] you and I rely on the ability to
you and I rely on the ability to
you and I rely on the ability to communicate every day right we do it to
communicate every day right we do it to
communicate every day right we do it to understand the world around us and to
understand the world around us and to
understand the world around us and to understand how we operate today I want
understand how we operate today I want
understand how we operate today I want you to start by thinking about those
you to start by thinking about those
you to start by thinking about those people around you with you communicate
people around you with you communicate
people around you with you communicate with right
with right
with right your parents your spouse your friends
your parents your spouse your friends
your parents your spouse your friends right maybe the police or a physician
right maybe the police or a physician
right maybe the police or a physician and I want you to think about the type
and I want you to think about the type
and I want you to think about the type of information you communicate with them
of information you communicate with them
of information you communicate with them today I like to present someone to you
today I like to present someone to you
today I like to present someone to you with whom I communicate who explores
with whom I communicate who explores
with whom I communicate who explores around around himself and lets me know
around around himself and lets me know
around around himself and lets me know about what he’s experiencing but unlike
about what he’s experiencing but unlike
about what he’s experiencing but unlike what you might be imagining right this
what you might be imagining right this
what you might be imagining right this special someone is Goodwin
special someone is Goodwin
special someone is Goodwin now Goodwin is not hiding behind the
now Goodwin is not hiding behind the
now Goodwin is not hiding behind the bushes Goodwin is the building a
bushes Goodwin is the building a
bushes Goodwin is the building a five-story 160,000 square foot building
five-story 160,000 square foot building
five-story 160,000 square foot building right but Goodwin is a little bit
right but Goodwin is a little bit
right but Goodwin is a little bit special Goodwin has the ability to sense
special Goodwin has the ability to sense
special Goodwin has the ability to sense in the and he’s starting to communicate
in the and he’s starting to communicate
in the and he’s starting to communicate with us to tell us things about himself
with us to tell us things about himself
with us to tell us things about himself as a matter of fact he senses things
as a matter of fact he senses things
as a matter of fact he senses things every day he think he senses crowds of
every day he think he senses crowds of
every day he think he senses crowds of people coming into work he sends his
people coming into work he sends his
people coming into work he sends his crowds of people going out to lunch he
crowds of people going out to lunch he
crowds of people going out to lunch he senses that some of them come back from
senses that some of them come back from
senses that some of them come back from lunch right he feels the weather he
lunch right he feels the weather he
lunch right he feels the weather he feels the rain he fills the wind right
feels the rain he fills the wind right
feels the rain he fills the wind right so this is a little bit different from
so this is a little bit different from
so this is a little bit different from what you might expect from a building so
what you might expect from a building so
what you might expect from a building so to get us started I like to show you an
to get us started I like to show you an
to get us started I like to show you an example on September 7 2016 just a few
example on September 7 2016 just a few
example on September 7 2016 just a few weeks ago Pawnee Oklahoma experienced a
weeks ago Pawnee Oklahoma experienced a
weeks ago Pawnee Oklahoma experienced a 5.8 earthquake the earthquake right and
5.8 earthquake the earthquake right and
5.8 earthquake the earthquake right and it’s ripples spread across the country
it’s ripples spread across the country
it’s ripples spread across the country like ripples in a pond but when it came
like ripples in a pond but when it came
like ripples in a pond but when it came to Tennessee in Virginia we didn’t feel
to Tennessee in Virginia we didn’t feel
to Tennessee in Virginia we didn’t feel it anymore
it anymore
it anymore but unlike you and I Goodwin actually
but unlike you and I Goodwin actually
but unlike you and I Goodwin actually felt it these are the sensors in Goodwin
felt it these are the sensors in Goodwin
felt it these are the sensors in Goodwin showing you that about 8:10 a.m. on that
showing you that about 8:10 a.m. on that
showing you that about 8:10 a.m. on that Saturday morning right the building
Saturday morning right the building
Saturday morning right the building started to move so we could say that 909
started to move so we could say that 909
started to move so we could say that 909 miles away a hundred and eighty seven
miles away a hundred and eighty seven
miles away a hundred and eighty seven seconds later Pawnee met Goodwin and
seconds later Pawnee met Goodwin and
seconds later Pawnee met Goodwin and Goodwin was all shook up right so what
Goodwin was all shook up right so what
Goodwin was all shook up right so what you see here right
you see here right
you see here right is an animation of what the censors were
is an animation of what the censors were
is an animation of what the censors were feeling through that moment through that
feeling through that moment through that
feeling through that moment through that earthquake and although it wasn’t that
earthquake and although it wasn’t that
earthquake and although it wasn’t that bad as the picture shows right it’s been
bad as the picture shows right it’s been
bad as the picture shows right it’s been exaggerated for visual purposes so we
exaggerated for visual purposes so we
exaggerated for visual purposes so we can understand the motion in the
can understand the motion in the
can understand the motion in the building it lets you know that Goodwin
building it lets you know that Goodwin
building it lets you know that Goodwin could actually start to communicate with
could actually start to communicate with
could actually start to communicate with us of what he’s feeling in what he’s
us of what he’s feeling in what he’s
us of what he’s feeling in what he’s going through right so with that in mind
going through right so with that in mind
going through right so with that in mind I like to ask you a question right what
I like to ask you a question right what
I like to ask you a question right what has your building done for you lately
has your building done for you lately
has your building done for you lately right I know that’s kind of weird right
right I know that’s kind of weird right
right I know that’s kind of weird right but what has your building done for you
but what has your building done for you
but what has your building done for you lately has it been able to adapt right
lately has it been able to adapt right
lately has it been able to adapt right in order to save you energy has it
in order to save you energy has it
in order to save you energy has it tracked your health has it kept you safe
tracked your health has it kept you safe
tracked your health has it kept you safe as it helped your grandmother and your
as it helped your grandmother and your
as it helped your grandmother and your grandfather in that fall you might these
grandfather in that fall you might these
grandfather in that fall you might these things you might be thinking these are
things you might be thinking these are
things you might be thinking these are these are not normal questions but
these are not normal questions but
these are not normal questions but that’s why we’re here all right so with
that’s why we’re here all right so with
that’s why we’re here all right so with that I like to take you on my journey
that I like to take you on my journey
that I like to take you on my journey what started out as a spark a small idea
what started out as a spark a small idea
what started out as a spark a small idea and has led us today to one of the most
and has led us today to one of the most
and has led us today to one of the most instrumented buildings in the world for
instrumented buildings in the world for
instrumented buildings in the world for vibration this is this is changing for
vibration this is this is changing for
vibration this is this is changing for us how we think of a lot of building how
us how we think of a lot of building how
us how we think of a lot of building how we interact with the building right and
we interact with the building right and
we interact with the building right and what we can start to do in the near
what we can start to do in the near
what we can start to do in the near future hopefully today I can challenge
future hopefully today I can challenge
future hopefully today I can challenge your preconceived notion of a building
your preconceived notion of a building
your preconceived notion of a building as this inanimate object that doesn’t do
as this inanimate object that doesn’t do
as this inanimate object that doesn’t do anything for you right and together I
anything for you right and together I
anything for you right and together I can show you how we which is the
can show you how we which is the
can show you how we which is the important word in the sentence are
important word in the sentence are
important word in the sentence are changing how this is done and how it
changing how this is done and how it
changing how this is done and how it takes a multidisciplinary group to take
takes a multidisciplinary group to take
takes a multidisciplinary group to take this and do it so let’s back up a little
this and do it so let’s back up a little
this and do it so let’s back up a little bit and start from the beginning so how
bit and start from the beginning so how
bit and start from the beginning so how did we get started on the fall of 2011 I
did we get started on the fall of 2011 I
did we get started on the fall of 2011 I was hired at Virginia Tech in the
was hired at Virginia Tech in the
was hired at Virginia Tech in the mechanical engineering department and I
mechanical engineering department and I
mechanical engineering department and I had just come from England from putting
had just come from England from putting
had just come from England from putting hundreds of accelerometers on
hundreds of accelerometers on
hundreds of accelerometers on helicopters and I said across my office
helicopters and I said across my office
helicopters and I said across my office and this was the view from my office
and this was the view from my office
and this was the view from my office it was Goodwin Hall being built back
it was Goodwin Hall being built back
it was Goodwin Hall being built back then called the signature engineering
then called the signature engineering
then called the signature engineering building and I decided that it would be
building and I decided that it would be
building and I decided that it would be a good idea to place these sensors
a good idea to place these sensors
a good idea to place these sensors throughout the building at a very large
throughout the building at a very large
throughout the building at a very large scale what’s funny about ideas is
scale what’s funny about ideas is
scale what’s funny about ideas is actually how they flourish and that they
actually how they flourish and that they
actually how they flourish and that they need to be nourished
need to be nourished
need to be nourished so the oddest thing was that I went to a
so the oddest thing was that I went to a
so the oddest thing was that I went to a soccer game I ran into one of the
soccer game I ran into one of the
soccer game I ran into one of the associate Dean’s of the College of
associate Dean’s of the College of
associate Dean’s of the College of Engineering and we found out that
Engineering and we found out that
Engineering and we found out that together we had this idea that we wanted
together we had this idea that we wanted
together we had this idea that we wanted to make Goodwin a very special building
to make Goodwin a very special building
to make Goodwin a very special building so then the next thing I did was what
so then the next thing I did was what
so then the next thing I did was what any professor does grabs his best assets
any professor does grabs his best assets
any professor does grabs his best assets right his students
right his students
right his students and they’re always willing to do all
and they’re always willing to do all
and they’re always willing to do all kinds of crazy things with us and we
kinds of crazy things with us and we
kinds of crazy things with us and we went out and started to collect pilot
went out and started to collect pilot
went out and started to collect pilot data putting sensors measuring scene if
data putting sensors measuring scene if
data putting sensors measuring scene if we can get anything out of the building
we can get anything out of the building
we can get anything out of the building that would make any sense we started to
that would make any sense we started to
that would make any sense we started to share that idea with other faculty
share that idea with other faculty
share that idea with other faculty members who very quickly bought into the
members who very quickly bought into the
members who very quickly bought into the idea and had the ideas of their own of
idea and had the ideas of their own of
idea and had the ideas of their own of what we could do with this data right
what we could do with this data right
what we could do with this data right three long and hardworking years later
three long and hardworking years later
three long and hardworking years later we had we had instrumented Goodwin home
we had we had instrumented Goodwin home
we had we had instrumented Goodwin home to be the most the most instrument of
to be the most the most instrument of
to be the most the most instrument of building the world for vibrations with
building the world for vibrations with
building the world for vibrations with 213 sensors throughout the entire
213 sensors throughout the entire
213 sensors throughout the entire structure sixty-five thousand feet of
structure sixty-five thousand feet of
structure sixty-five thousand feet of cable connecting every sensor to every
cable connecting every sensor to every
cable connecting every sensor to every computer that collects data and it just
computer that collects data and it just
computer that collects data and it just so happens when you buy sixty five
so happens when you buy sixty five
so happens when you buy sixty five thousand feet of cable you can get it at
thousand feet of cable you can get it at
thousand feet of cable you can get it at any color you want and hookie orange is
any color you want and hookie orange is
any color you want and hookie orange is one of them so that was great so the
one of them so that was great so the
one of them so that was great so the next thing we did was we pulled the
next thing we did was we pulled the
next thing we did was we pulled the switch and the data started to come in
switch and the data started to come in
switch and the data started to come in and the question was then what do we do
and the question was then what do we do
and the question was then what do we do with this data so much like
with this data so much like
with this data so much like Frankenstein’s monster right by putting
Frankenstein’s monster right by putting
Frankenstein’s monster right by putting all these sensors throughout the
all these sensors throughout the
all these sensors throughout the building
building
building we had just given the building a
we had just given the building a
we had just given the building a heartbeat and now we were monitoring
heartbeat and now we were monitoring
heartbeat and now we were monitoring this heartbeat but 213 of these examples
this heartbeat but 213 of these examples
this heartbeat but 213 of these examples today we’ve learned that what you’re
today we’ve learned that what you’re
today we’ve learned that what you’re seeing right there are serious F
seeing right there are serious F
seeing right there are serious F multiple events a door is opening and
multiple events a door is opening and
multiple events a door is opening and closing a person is walking across the
closing a person is walking across the
closing a person is walking across the hallway where there’s a sensor and a
hallway where there’s a sensor and a
hallway where there’s a sensor and a piece of equipment machinery is turning
piece of equipment machinery is turning
piece of equipment machinery is turning on right so then we set out to say okay
on right so then we set out to say okay
on right so then we set out to say okay what can we find out and what can we do
what can we find out and what can we do
what can we find out and what can we do and how can we use this to better our
and how can we use this to better our
and how can we use this to better our society so you clearly saw the first
society so you clearly saw the first
society so you clearly saw the first example which was the earthquake which
example which was the earthquake which
example which was the earthquake which actually shook the building but
actually shook the building but
actually shook the building but buildings move in very peculiar motions
buildings move in very peculiar motions
buildings move in very peculiar motions structures in themselves with this we
structures in themselves with this we
structures in themselves with this we were learning that the models we make
were learning that the models we make
were learning that the models we make can be better can be better tailored we
can be better can be better tailored we
can be better can be better tailored we can make more efficient buildings we can
can make more efficient buildings we can
can make more efficient buildings we can make safer buildings and this level of
make safer buildings and this level of
make safer buildings and this level of understanding is changing the way we can
understanding is changing the way we can
understanding is changing the way we can understand buildings but like any good
understand buildings but like any good
understand buildings but like any good doctor we wanted to go deeper inside
doctor we wanted to go deeper inside
doctor we wanted to go deeper inside what you see here is the motion of the
what you see here is the motion of the
what you see here is the motion of the individual sensors letting us know
individual sensors letting us know
individual sensors letting us know what’s going on right we’re yellow is is
what’s going on right we’re yellow is is
what’s going on right we’re yellow is is a sensor that is not seeing a lot of
a sensor that is not seeing a lot of
a sensor that is not seeing a lot of activity and red is a sensor that’s seen
activity and red is a sensor that’s seen
activity and red is a sensor that’s seen a lot of activity you can see that as
a lot of activity you can see that as
a lot of activity you can see that as the day goes by more
the day goes by more
the day goes by more more the sensors turn red which
more the sensors turn red which
more the sensors turn red which correlate really well with actually
correlate really well with actually
correlate really well with actually class exchanges lunch times and so on
class exchanges lunch times and so on
class exchanges lunch times and so on and this and now it starts to be an idea
and this and now it starts to be an idea
and this and now it starts to be an idea of what you can do with this information
of what you can do with this information
of what you can do with this information right we can understand how to control
right we can understand how to control
right we can understand how to control HVAC better we can control lighting
HVAC better we can control lighting
HVAC better we can control lighting better we can save a lot of energy when
better we can save a lot of energy when
better we can save a lot of energy when it comes to a building but we could also
it comes to a building but we could also
it comes to a building but we could also help people during an emergency
help people during an emergency
help people during an emergency evacuation so when we saw this
evacuation so when we saw this
evacuation so when we saw this information we wanted to go even in
information we wanted to go even in
information we wanted to go even in deeper so what is costing the sensors to
deeper so what is costing the sensors to
deeper so what is costing the sensors to actually respond this way well it turns
actually respond this way well it turns
actually respond this way well it turns out that very small vibrations in the
out that very small vibrations in the
out that very small vibrations in the building which could be caused by the
building which could be caused by the
building which could be caused by the heel strike of your walking right span
heel strike of your walking right span
heel strike of your walking right span through the floor like ripples like the
through the floor like ripples like the
through the floor like ripples like the earthquake and our sensors start to pick
earthquake and our sensors start to pick
earthquake and our sensors start to pick them up and what you see there is a
them up and what you see there is a
them up and what you see there is a simulation of these vibrations
simulation of these vibrations
simulation of these vibrations throughout the building right and much
throughout the building right and much
throughout the building right and much like you’re finding me on stage you’re
like you’re finding me on stage you’re
like you’re finding me on stage you’re using both of your ears to triangulate
using both of your ears to triangulate
using both of your ears to triangulate where I am we can use that information
where I am we can use that information
where I am we can use that information the same way to find and locate people
the same way to find and locate people
the same way to find and locate people in the building we can do it today under
in the building we can do it today under
in the building we can do it today under very controlled experiments and we can
very controlled experiments and we can
very controlled experiments and we can find a person in a hundred sixty
find a person in a hundred sixty
find a person in a hundred sixty thousand square foot building within a
thousand square foot building within a
thousand square foot building within a one foot radius right so okay so we said
one foot radius right so okay so we said
one foot radius right so okay so we said okay we’re starting to understand how
okay we’re starting to understand how
okay we’re starting to understand how the building reacts but can we start to
the building reacts but can we start to
the building reacts but can we start to understand what is causing the incidents
understand what is causing the incidents
understand what is causing the incidents to occur and the next thing we did is we
to occur and the next thing we did is we
to occur and the next thing we did is we wanted to study people what you see here
wanted to study people what you see here
wanted to study people what you see here is in red a woman walking across the
is in red a woman walking across the
is in red a woman walking across the hallway with high heels and in blue a
hallway with high heels and in blue a
hallway with high heels and in blue a male walking across the hallway with
male walking across the hallway with
male walking across the hallway with soft shoes and you and I can clearly
soft shoes and you and I can clearly
soft shoes and you and I can clearly tell the difference between those two
tell the difference between those two
tell the difference between those two but what we’re trying to do today is get
but what we’re trying to do today is get
but what we’re trying to do today is get computers to do this for us to develop
computers to do this for us to develop
computers to do this for us to develop mathematical models that are capable of
mathematical models that are capable of
mathematical models that are capable of distinguishing this but we didn’t want
distinguishing this but we didn’t want
distinguishing this but we didn’t want to do it this easy so what we obviously
to do it this easy so what we obviously
to do it this easy so what we obviously did to the computers is we gave them a
did to the computers is we gave them a
did to the computers is we gave them a little bit more of a challenge we mix
little bit more of a challenge we mix
little bit more of a challenge we mix the shoes up we had everybody wear
the shoes up we had everybody wear
the shoes up we had everybody wear Horsell shoes and soft sole shoes and as
Horsell shoes and soft sole shoes and as
Horsell shoes and soft sole shoes and as of today we can distinguish gender with
of today we can distinguish gender with
of today we can distinguish gender with a 97% accuracy right you might be
a 97% accuracy right you might be
a 97% accuracy right you might be starting to freak out and okay that’s
starting to freak out and okay that’s
starting to freak out and okay that’s fine
fine
fine we don’t like to do things safe all the
we don’t like to do things safe all the
we don’t like to do things safe all the time but you can imagine that if we’re
time but you can imagine that if we’re
time but you can imagine that if we’re searching for someone and we can divide
searching for someone and we can divide
searching for someone and we can divide the classification by 50% our ability to
the classification by 50% our ability to
the classification by 50% our ability to find someone reduces right and we can
find someone reduces right and we can
find someone reduces right and we can save people much quicker if we’re
save people much quicker if we’re
save people much quicker if we’re looking for some right some other people
looking for some right some other people
looking for some right some other people are interested in things like customized
are interested in things like customized
are interested in things like customized marketing in the mall so that as you
marketing in the mall so that as you
marketing in the mall so that as you walk we can feed you exactly what you
walk we can feed you exactly what you
walk we can feed you exactly what you want we want you to buy right that’s up
want we want you to buy right that’s up
want we want you to buy right that’s up to them anyway so of course this leads
to them anyway so of course this leads
to them anyway so of course this leads to a lot of questions of privacy and
to a lot of questions of privacy and
to a lot of questions of privacy and just like today you left your
just like today you left your
just like today you left your fingerprints here in this wonderful
fingerprints here in this wonderful
fingerprints here in this wonderful auditorium you’re not worried because I
auditorium you’re not worried because I
auditorium you’re not worried because I don’t have a database to pull you out
don’t have a database to pull you out
don’t have a database to pull you out and compare that fingerprint to that
and compare that fingerprint to that
and compare that fingerprint to that base so you can see how this technology
base so you can see how this technology
base so you can see how this technology can actually be scaled for privacy it
can actually be scaled for privacy it
can actually be scaled for privacy it won’t necessarily be an issue but with
won’t necessarily be an issue but with
won’t necessarily be an issue but with that in mind you know weird experiments
that in mind you know weird experiments
that in mind you know weird experiments have not always been received well and
have not always been received well and
have not always been received well and this is not the first time actually a
this is not the first time actually a
this is not the first time actually a very famous dr. Frankenstein in the film
very famous dr. Frankenstein in the film
very famous dr. Frankenstein in the film of 1931 his advice was said to him right
of 1931 his advice was said to him right
of 1931 his advice was said to him right you have created a monster and he will
you have created a monster and he will
you have created a monster and he will destroy you and I would hope that we
destroy you and I would hope that we
destroy you and I would hope that we would react a little bit better and move
would react a little bit better and move
would react a little bit better and move towards Frankenstein’s answer and he
towards Frankenstein’s answer and he
towards Frankenstein’s answer and he says patience patience I believe in this
says patience patience I believe in this
says patience patience I believe in this monster as you call it right and if you
monster as you call it right and if you
monster as you call it right and if you don’t well leave all right so far he’s
don’t well leave all right so far he’s
don’t well leave all right so far he’s been kept in complete darkness wait till
been kept in complete darkness wait till
been kept in complete darkness wait till I bring him into the light so hopefully
I bring him into the light so hopefully
I bring him into the light so hopefully today right now with the next few
today right now with the next few
today right now with the next few examples I’ll show you some light let’s
examples I’ll show you some light let’s
examples I’ll show you some light let’s start with some interesting statistics
start with some interesting statistics
start with some interesting statistics 56 percent of older adults who fall die
56 percent of older adults who fall die
56 percent of older adults who fall die within six months results in 2.3 million
within six months results in 2.3 million
within six months results in 2.3 million visits to the hospital 20,000 deaths a
visits to the hospital 20,000 deaths a
visits to the hospital 20,000 deaths a year right and 30 billion dollars in
year right and 30 billion dollars in
year right and 30 billion dollars in cost what if the building could actually
cost what if the building could actually
cost what if the building could actually let us know that it’s happened
let us know that it’s happened
let us know that it’s happened automatically and deploy emergency to
automatically and deploy emergency to
automatically and deploy emergency to that situation this research in video is
that situation this research in video is
that situation this research in video is quite hard to do because for some reason
quite hard to do because for some reason
quite hard to do because for some reason it’s not okay to invite people to the
it’s not okay to invite people to the
it’s not okay to invite people to the building and triple so simulating this
building and triple so simulating this
building and triple so simulating this day that requires a little bit of
day that requires a little bit of
day that requires a little bit of finesse which we haven’t gotten there
finesse which we haven’t gotten there
finesse which we haven’t gotten there yet but my students are developing some
yet but my students are developing some
yet but my students are developing some fun ways of trying to figure this out
fun ways of trying to figure this out
fun ways of trying to figure this out sometimes they need a little push
sometimes they need a little push
sometimes they need a little push um anyway but what I want you to get out
um anyway but what I want you to get out
um anyway but what I want you to get out of this is that what the building sees
of this is that what the building sees
of this is that what the building sees when an event like this happens in the
when an event like this happens in the
when an event like this happens in the previous ones we’ve talked about a few
previous ones we’ve talked about a few
previous ones we’ve talked about a few things are very different so the top one
things are very different so the top one
things are very different so the top one is a simulation of a dummy falling right
is a simulation of a dummy falling right
is a simulation of a dummy falling right the bottom one is the door closing so if
the bottom one is the door closing so if
the bottom one is the door closing so if we can develop mathematical models that
we can develop mathematical models that
we can develop mathematical models that are able to pull this apart at all time
are able to pull this apart at all time
are able to pull this apart at all time run 24/7 right there’s a lot of
run 24/7 right there’s a lot of
run 24/7 right there’s a lot of information to process and you can see
information to process and you can see
information to process and you can see how this is not just the work of a
how this is not just the work of a
how this is not just the work of a mechanical engineer right computer
mechanical engineer right computer
mechanical engineer right computer science and mathematics and so on so
science and mathematics and so on so
science and mathematics and so on so it’s a very very tough problem so with
it’s a very very tough problem so with
it’s a very very tough problem so with that I like you to imagine the future
that I like you to imagine the future
that I like you to imagine the future with me of say we couldn’t lead do this
with me of say we couldn’t lead do this
with me of say we couldn’t lead do this all at the same time this is a floor
all at the same time this is a floor
all at the same time this is a floor plan of the fourth floor with Goodwin
plan of the fourth floor with Goodwin
plan of the fourth floor with Goodwin Hall so for example let’s imagine that
Hall so for example let’s imagine that
Hall so for example let’s imagine that the building detects the situation right
the building detects the situation right
the building detects the situation right at that moment it moves forward it says
at that moment it moves forward it says
at that moment it moves forward it says I’ve located this event
I’ve located this event
I’ve located this event I’m classifying it I’m trying to
I’m classifying it I’m trying to
I’m classifying it I’m trying to figuring out what it is so I’m deploying
figuring out what it is so I’m deploying
figuring out what it is so I’m deploying countermeasures right at that point it
countermeasures right at that point it
countermeasures right at that point it might tell you on your phone or in your
might tell you on your phone or in your
might tell you on your phone or in your watch what’s going on right it might
watch what’s going on right it might
watch what’s going on right it might then decide to call the police and say
then decide to call the police and say
then decide to call the police and say hey we have an intruder in Goodwin Hall
hey we have an intruder in Goodwin Hall
hey we have an intruder in Goodwin Hall right he’s in the third floor he’s
right he’s in the third floor he’s
right he’s in the third floor he’s moving he’s male he weighs 190 pounds
moving he’s male he weighs 190 pounds
moving he’s male he weighs 190 pounds right he’s discharging 9-millimeter
right he’s discharging 9-millimeter
right he’s discharging 9-millimeter weapon and I’m currently tracking him
weapon and I’m currently tracking him
weapon and I’m currently tracking him right the police could then respond and
right the police could then respond and
right the police could then respond and say we’re on our way
say we’re on our way
say we’re on our way please help these people out you say
please help these people out you say
please help these people out you say okay I’ve locked the third floor I’m
okay I’ve locked the third floor I’m
okay I’ve locked the third floor I’m evacuating one two and four right the
evacuating one two and four right the
evacuating one two and four right the building can then respond to the police
building can then respond to the police
building can then respond to the police the police arrives the building deploys
the police arrives the building deploys
the police arrives the building deploys that information to their portable
that information to their portable
that information to their portable devices it tells them what is the
devices it tells them what is the
devices it tells them what is the fastest route to enter the building
fastest route to enter the building
fastest route to enter the building right it tracks them coming into the
right it tracks them coming into the
right it tracks them coming into the building and then it gives them
building and then it gives them
building and then it gives them second-by-second information about their
second-by-second information about their
second-by-second information about their approach right the building could be the
approach right the building could be the
approach right the building could be the first responder and in a lot of
first responder and in a lot of
first responder and in a lot of situations that’s all the time we have
situations that’s all the time we have
situations that’s all the time we have right so today hopefully you’ve been a
right so today hopefully you’ve been a
right so today hopefully you’ve been a little bit challenged about your
little bit challenged about your
little bit challenged about your preconceived notion of what a building
preconceived notion of what a building
preconceived notion of what a building might do in the future
might do in the future
might do in the future right how a small idea when its
right how a small idea when its
right how a small idea when its nourished right can flourish into
nourished right can flourish into
nourished right can flourish into something quite unique how it takes a
something quite unique how it takes a
something quite unique how it takes a multidisciplinary team to get these
multidisciplinary team to get these
multidisciplinary team to get these ideas carried out today so for me that’s
ideas carried out today so for me that’s
ideas carried out today so for me that’s why I think it takes a smart village
why I think it takes a smart village
why I think it takes a smart village thank you
thank you
thank you you
”
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