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Democratizing the Sky | Tautvydas Juskauskas | TEDxDHBWMannheim


good evening everybody

good evening everybody I am always selling to my parents that

I am always selling to my parents that

I am always selling to my parents that I’m very grateful that I gave me such

I’m very grateful that I gave me such

I’m very grateful that I gave me such name because it’s a very nice icebreaker

name because it’s a very nice icebreaker

name because it’s a very nice icebreaker whenever I need to give a presentation

whenever I need to give a presentation

whenever I need to give a presentation or give a talk so my name is totus and

or give a talk so my name is totus and

or give a talk so my name is totus and even my parents call me tote this tote

even my parents call me tote this tote

even my parents call me tote this tote with us is just on a passport I’ve

with us is just on a passport I’ve

with us is just on a passport I’ve always been interested in politics

always been interested in politics

always been interested in politics because coming from Lithuania I’ve seen

because coming from Lithuania I’ve seen

because coming from Lithuania I’ve seen a lot of social and economic problems

a lot of social and economic problems

a lot of social and economic problems and this has led me to choose my

and this has led me to choose my

and this has led me to choose my education in social sciences in

education in social sciences in

education in social sciences in particular political science and public

particular political science and public

particular political science and public policy and now I work for a drone

policy and now I work for a drone

policy and now I work for a drone company and it might sound odd and you

company and it might sound odd and you

company and it might sound odd and you might start questioning what does it

might start questioning what does it

might start questioning what does it have to do with politics and it actually

have to do with politics and it actually

have to do with politics and it actually does it all started in 2014 when I

does it all started in 2014 when I

does it all started in 2014 when I received a call from my professor he

received a call from my professor he

received a call from my professor he asked me whether I wanted to join his

asked me whether I wanted to join his

asked me whether I wanted to join his laughs that was focusing on the drone

laughs that was focusing on the drone

laughs that was focusing on the drone use for public good he wasn’t so

use for public good he wasn’t so

use for public good he wasn’t so specific but at that time I didn’t even

specific but at that time I didn’t even

specific but at that time I didn’t even know what the drone was I actually

know what the drone was I actually

know what the drone was I actually understood that in my language in

understood that in my language in

understood that in my language in Lithuanian language drone is a bee and

Lithuanian language drone is a bee and

Lithuanian language drone is a bee and since I love honey in my tea I thought I

since I love honey in my tea I thought I

since I love honey in my tea I thought I would get involved

next day next day I went to his office

next day next day I went to his office and I saw a quadcopter with a camera

and I saw a quadcopter with a camera

and I saw a quadcopter with a camera standing on a table I immediately asked

standing on a table I immediately asked

standing on a table I immediately asked him because I didn’t see any bees flying

him because I didn’t see any bees flying

him because I didn’t see any bees flying around in the room I asked him what was

around in the room I asked him what was

around in the room I asked him what was he going to do with that quadcopter and

he going to do with that quadcopter and

he going to do with that quadcopter and he instantly replied saying that he was

he instantly replied saying that he was

he instantly replied saying that he was going to count the crowd of a people in

going to count the crowd of a people in

going to count the crowd of a people in a demonstration or in a social movement

a demonstration or in a social movement

a demonstration or in a social movement and it all started making me much more

and it all started making me much more

and it all started making me much more sense because my professor that beardy

sense because my professor that beardy

sense because my professor that beardy man he’s a social movement scholar next

man he’s a social movement scholar next

man he’s a social movement scholar next day next day after Trump’s inaugural

day next day after Trump’s inaugural

day next day after Trump’s inaugural ceremony Twitter Facebook traditional

ceremony Twitter Facebook traditional

ceremony Twitter Facebook traditional media we’re full of those comparisons

media we’re full of those comparisons

media we’re full of those comparisons like this one

the size of a crowd matters because it

the size of a crowd matters because it shows the level of support or resistance

shows the level of support or resistance

shows the level of support or resistance it is a good signal that shows whether

it is a good signal that shows whether

it is a good signal that shows whether there is a public opinion that is

there is a public opinion that is

there is a public opinion that is supporting some politician or not

supporting some politician or not

supporting some politician or not whether it’s supporting some law or not

whether it’s supporting some law or not

whether it’s supporting some law or not I was quite lucky to study at the

I was quite lucky to study at the

I was quite lucky to study at the Central European University which is

Central European University which is

Central European University which is based in Budapest and as some of you may

based in Budapest and as some of you may

based in Budapest and as some of you may know Hungary has been undergoing some

know Hungary has been undergoing some

know Hungary has been undergoing some political changes I was fortunate to vit

political changes I was fortunate to vit

political changes I was fortunate to vit nosov the biggest demonstrations in the

nosov the biggest demonstrations in the

nosov the biggest demonstrations in the modern history of Hungary Budapest

modern history of Hungary Budapest

modern history of Hungary Budapest streets were full of people because they

streets were full of people because they

streets were full of people because they gathered to protest against the Internet

gathered to protest against the Internet

gathered to protest against the Internet tax Orban wanted to implement the tax

tax Orban wanted to implement the tax

tax Orban wanted to implement the tax over every single gigabyte that person

over every single gigabyte that person

over every single gigabyte that person would consume that’s why people went on

would consume that’s why people went on

would consume that’s why people went on the streets and guess what so the local

the streets and guess what so the local

the streets and guess what so the local media said it was only 15,000 people

media said it was only 15,000 people

media said it was only 15,000 people Reuters the biggest news agency in the

Reuters the biggest news agency in the

Reuters the biggest news agency in the world said it was hundred thousand

world said it was hundred thousand

world said it was hundred thousand people so you may ask which one was true

people so you may ask which one was true

people so you may ask which one was true actually neither of them so coming back

actually neither of them so coming back

actually neither of them so coming back from the professor’s room to the protest

from the professor’s room to the protest

from the professor’s room to the protest we applied the scientific method with

we applied the scientific method with

we applied the scientific method with the help of aerial footage and we

the help of aerial footage and we

the help of aerial footage and we estimated that it was 40 thousand people

estimated that it was 40 thousand people

estimated that it was 40 thousand people as you see size of a crowd is a big

as you see size of a crowd is a big

as you see size of a crowd is a big source of manipulation discussion

source of manipulation discussion

source of manipulation discussion governments want to deflate the numbers

governments want to deflate the numbers

governments want to deflate the numbers while crowds want to inflate them and

while crowds want to inflate them and

while crowds want to inflate them and the truth is somewhere in between this

the truth is somewhere in between this

the truth is somewhere in between this is where I started thinking how drones

is where I started thinking how drones

is where I started thinking how drones can help humanity in many other ways and

can help humanity in many other ways and

can help humanity in many other ways and I was lucky to join DJI over 1 year ago

I was lucky to join DJI over 1 year ago

I was lucky to join DJI over 1 year ago and since ever since I’ve been working

and since ever since I’ve been working

and since ever since I’ve been working closely with academia and researchers

closely with academia and researchers

closely with academia and researchers from all over Europe in order to find

from all over Europe in order to find

from all over Europe in order to find drone solutions in order to solve

drone solutions in order to solve

drone solutions in order to solve complex agricultural infrastructure ‘el

complex agricultural infrastructure ‘el

complex agricultural infrastructure ‘el and environmental puzzles

and environmental puzzles

and environmental puzzles speaking of environment disastrous

speaking of environment disastrous

speaking of environment disastrous hurricane Harvey in Houston courts

hurricane Harvey in Houston courts

hurricane Harvey in Houston courts caused terrible floods that left over

caused terrible floods that left over

caused terrible floods that left over 30,000 people without the shelter

30,000 people without the shelter

30,000 people without the shelter resulted in at least 60 deaths

however drones were quite vital after

however drones were quite vital after the emergency response emergency teams

the emergency response emergency teams

the emergency response emergency teams in Houston have been using over 120

in Houston have been using over 120

in Houston have been using over 120 drone platforms in order to assess the

drone platforms in order to assess the

drone platforms in order to assess the damage that has been caused by the flood

damage that has been caused by the flood

damage that has been caused by the flood the main problem shows that very fast

the main problem shows that very fast

the main problem shows that very fast urban development of houston has caused

urban development of houston has caused

urban development of houston has caused this flood what it means is that urban

this flood what it means is that urban

this flood what it means is that urban development led to a situation where

development led to a situation where

development led to a situation where concrete got over priority over green

concrete got over priority over green

concrete got over priority over green space where vegetation and soil could

space where vegetation and soil could

space where vegetation and soil could help soak up the water like a sponge

help soak up the water like a sponge

help soak up the water like a sponge therefore those teams those response

therefore those teams those response

therefore those teams those response teams have been using drones in order to

teams have been using drones in order to

teams have been using drones in order to assess critical infrastructure like

assess critical infrastructure like

assess critical infrastructure like powerlines railway roads oil and gas

powerlines railway roads oil and gas

powerlines railway roads oil and gas facilities all of those and even drones

facilities all of those and even drones

facilities all of those and even drones have been helping to spot missing people

have been helping to spot missing people

have been helping to spot missing people there similarly as it happened after the

there similarly as it happened after the

there similarly as it happened after the Granville Tower fire in London response

Granville Tower fire in London response

Granville Tower fire in London response teams and in particular firefighters

teams and in particular firefighters

teams and in particular firefighters have been using drones in order to

have been using drones in order to

have been using drones in order to assess the remaining structure of the

assess the remaining structure of the

assess the remaining structure of the building so that they could decide

building so that they could decide

building so that they could decide whether it’s safe to move and whether

whether it’s safe to move and whether

whether it’s safe to move and whether it’s safe to enter the building in order

it’s safe to enter the building in order

it’s safe to enter the building in order to assess it more closely as you see

to assess it more closely as you see

to assess it more closely as you see drones have been used reactively as a

drones have been used reactively as a

drones have been used reactively as a reactive tool in order to get to help

reactive tool in order to get to help

reactive tool in order to get to help Public Safety in order to help

Public Safety in order to help

Public Safety in order to help industries to inspect their existing

industries to inspect their existing

industries to inspect their existing infrastructure in order to help spot

infrastructure in order to help spot

infrastructure in order to help spot missing people but is there a way drones

missing people but is there a way drones

missing people but is there a way drones can be used proactively in order to

can be used proactively in order to

can be used proactively in order to understand complex environmental

understand complex environmental

understand complex environmental phenomenon the last time I studied

phenomenon the last time I studied

phenomenon the last time I studied volcanoes was my ninth grade during my

volcanoes was my ninth grade during my

volcanoes was my ninth grade during my geography class

geography class

geography class and if I ask you what do you know about

and if I ask you what do you know about

and if I ask you what do you know about volcanoes obviously some of you would

volcanoes obviously some of you would

volcanoes obviously some of you would know more some of you would know less

know more some of you would know less

know more some of you would know less but even the experts the volcanologists

but even the experts the volcanologists

but even the experts the volcanologists who study volcanoes they know very

who study volcanoes they know very

who study volcanoes they know very little as one scientist has told me

volcanologist uh d of volcanoes is like

volcanologist uh d of volcanoes is like a six-year-old child in terms of what he

a six-year-old child in terms of what he

a six-year-old child in terms of what he or she knows in the scale of his or her

or she knows in the scale of his or her

or she knows in the scale of his or her life

life

life well koala G is a very young science and

well koala G is a very young science and

well koala G is a very young science and generations will need to pass until we

generations will need to pass until we

generations will need to pass until we understand the activity of volcanoes

understand the activity of volcanoes

understand the activity of volcanoes volcanoes present us the deranged

volcanoes present us the deranged

volcanoes present us the deranged science of activity they are gassing off

science of activity they are gassing off

science of activity they are gassing off they’re cooling down they’re heating up

they’re cooling down they’re heating up

they’re cooling down they’re heating up they’re shrinking they are inflating you

they’re shrinking they are inflating you

they’re shrinking they are inflating you know sometimes it’s remember like a

know sometimes it’s remember like a

know sometimes it’s remember like a human being but actually they do show

human being but actually they do show

human being but actually they do show some signs of activity and it’s

some signs of activity and it’s

some signs of activity and it’s volcanologists tasks in order to

volcanologists tasks in order to

volcanologists tasks in order to translate those signs into effective

translate those signs into effective

translate those signs into effective everywhere creation plans for the people

everywhere creation plans for the people

everywhere creation plans for the people who live near or around volcanoes so I

who live near or around volcanoes so I

who live near or around volcanoes so I had this lifetime experience three

had this lifetime experience three

had this lifetime experience three months ago when I went to Sicily in

months ago when I went to Sicily in

months ago when I went to Sicily in Italy and we observed Mount Etna which

Italy and we observed Mount Etna which

Italy and we observed Mount Etna which is the biggest active volcano in Europe

is the biggest active volcano in Europe

is the biggest active volcano in Europe with a group of 10 researchers we went

with a group of 10 researchers we went

with a group of 10 researchers we went there in order to collect gas samples

there in order to collect gas samples

there in order to collect gas samples straight away from the plume of the gas

straight away from the plume of the gas

straight away from the plume of the gas that is coming out of the crater we

that is coming out of the crater we

that is coming out of the crater we spent there some time with those people

spent there some time with those people

spent there some time with those people it was a very very interesting

it was a very very interesting

it was a very very interesting experience so they were collecting those

experience so they were collecting those

experience so they were collecting those gas and the gas is a very important

gas and the gas is a very important

gas and the gas is a very important precursor that could show whether the

precursor that could show whether the

precursor that could show whether the volcano is going to erupt and you may

volcano is going to erupt and you may

volcano is going to erupt and you may ask why does it matter I imagine that

ask why does it matter I imagine that

ask why does it matter I imagine that you might have considered choosing one

you might have considered choosing one

you might have considered choosing one of those cities as a potential

of those cities as a potential

of those cities as a potential destination of your vacation or maybe

destination of your vacation or maybe

destination of your vacation or maybe you have already been there the thing is

you have already been there the thing is

you have already been there the thing is that those cities they are in a very

that those cities they are in a very

that those cities they are in a very close proximity to active volcanoes

close proximity to active volcanoes

close proximity to active volcanoes there are over 1,500 volcanoes in the

there are over 1,500 volcanoes in the

there are over 1,500 volcanoes in the world that pose threat direct threat to

world that pose threat direct threat to

world that pose threat direct threat to over 800 million people worldwide and

over 800 million people worldwide and

over 800 million people worldwide and you might have remembered that

you might have remembered that

you might have remembered that and it might have affected you

and it might have affected you

and it might have affected you personally when there was a big ash

personally when there was a big ash

personally when there was a big ash cloud coming from a volcano that is next

cloud coming from a volcano that is next

cloud coming from a volcano that is next to Reykjavik and it has even more

to Reykjavik and it has even more

to Reykjavik and it has even more complicated named than I do and that

complicated named than I do and that

complicated named than I do and that volcano disrupted the whole airline

volcano disrupted the whole airline

volcano disrupted the whole airline industry it disrupted all the flights

industry it disrupted all the flights

industry it disrupted all the flights and and Europe was basically blocked we

and and Europe was basically blocked we

and and Europe was basically blocked we had a very very interesting coach for us

had a very very interesting coach for us

had a very very interesting coach for us for this TED talk and he was saying look

for this TED talk and he was saying look

for this TED talk and he was saying look oh man I was so lucky because we got one

oh man I was so lucky because we got one

oh man I was so lucky because we got one gap day so that I could fly to Lisbon so

gap day so that I could fly to Lisbon so

gap day so that I could fly to Lisbon so people were really affected by this but

people were really affected by this but

people were really affected by this but that have been more disastrous events a

that have been more disastrous events a

that have been more disastrous events a an eruption of Mount Pelion Martinique

an eruption of Mount Pelion Martinique

an eruption of Mount Pelion Martinique costs over 30,000 deaths and even though

costs over 30,000 deaths and even though

costs over 30,000 deaths and even though the volcano was showing off those signs

the volcano was showing off those signs

the volcano was showing off those signs of activity people didn’t have enough

of activity people didn’t have enough

of activity people didn’t have enough knowledge to understand that and they

knowledge to understand that and they

knowledge to understand that and they didn’t xscape but let’s get the let’s

didn’t xscape but let’s get the let’s

didn’t xscape but let’s get the let’s get back to Houston it’s been said that

get back to Houston it’s been said that

get back to Houston it’s been said that only 20% of those 30,000 households were

only 20% of those 30,000 households were

only 20% of those 30,000 households were insured for natural disasters meaning

insured for natural disasters meaning

insured for natural disasters meaning that emergency management agencies

that emergency management agencies

that emergency management agencies didn’t have a complete information on

didn’t have a complete information on

didn’t have a complete information on what are the area’s most prone to the

what are the area’s most prone to the

what are the area’s most prone to the floods due to the fast urban growth what

floods due to the fast urban growth what

floods due to the fast urban growth what does it say emergency agencies are using

does it say emergency agencies are using

does it say emergency agencies are using satellite imagery in order to overlay

satellite imagery in order to overlay

satellite imagery in order to overlay the images throughout the time and see

the images throughout the time and see

the images throughout the time and see how the urban growth has changed and how

how the urban growth has changed and how

how the urban growth has changed and how areas are becoming more or less prone to

areas are becoming more or less prone to

areas are becoming more or less prone to floods

floods

floods in case of the use of a drones drone

in case of the use of a drones drone

in case of the use of a drones drone mapping is much more time efficient and

mapping is much more time efficient and

mapping is much more time efficient and cost-efficient and this can be done on

cost-efficient and this can be done on

cost-efficient and this can be done on demand if I may ask you how many of you

demand if I may ask you how many of you

demand if I may ask you how many of you have seen a plane flying in the sky

have seen a plane flying in the sky

have seen a plane flying in the sky do I see hundred percent

do I see hundred percent

do I see hundred percent I imagine hundred percent how many of

I imagine hundred percent how many of

I imagine hundred percent how many of you have seen a drone in the sky oh

you have seen a drone in the sky oh

you have seen a drone in the sky oh that’s quite enough but there is still a

that’s quite enough but there is still a

that’s quite enough but there is still a gap have you seen a drone that was

gap have you seen a drone that was

gap have you seen a drone that was taking a drone II or a selfie have you

taking a drone II or a selfie have you

taking a drone II or a selfie have you seen a drone during a vetting flying and

seen a drone during a vetting flying and

seen a drone during a vetting flying and taking nice pictures that’s a reality

taking nice pictures that’s a reality

taking nice pictures that’s a reality indeed but there will be a day when the

indeed but there will be a day when the

indeed but there will be a day when the drones will be used proactively in order

drones will be used proactively in order

drones will be used proactively in order to better understand and perceive our

to better understand and perceive our

to better understand and perceive our world so that we get safer and safer in

world so that we get safer and safer in

world so that we get safer and safer in our surroundings thank you very much

our surroundings thank you very much

our surroundings thank you very much you

”

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