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Description
At the Caribbean developers conference, we spoke to a few of the teams that took part in the IoT challenge to learn about your projects and how they’re improving the communities in the Dominican Republic.
Team Intelipark has put together an interesting solution around identifying the available spots in a parking lot.
Team Agro360 is using IoT and machine learning to help farmers identify what diseases their crops may be affected by/
Team iBins has created a smart trash container solution that monitors trash levels and determines the best route to take for trash collection
[00:13] - The Intelipark team
[06:45] - The Agro360 team
[15:40] - The iBins team
#CaribbeanDevelopers #IoT #Dotnet #azure #MachineLearning
A
Hey
friends,
I'm
Scott,
Hanselman
and
I'm
here
at
the
Caribbean
delver
Developers
Conference,
we're
talking
to
AM
tell
apart
this
is
some
really
cool
stuff.
They
built
all
this
great
stuff
with
visual
studio
and
web
technologies
and
Arduino
technologies.
I'm
talking
with
our
Eduardo
I'm
loving
this
screen.
This
is
a
beautiful
screen.
This
is
telling
me
how
many
parking
spaces
there
are
available.
Yeah.
B
This
is
a
device
that
tells
the
user
as
soon
as
he
hit
enter
to
a
parking
lot
where
to
go,
because
if
you
were
to
song
what
some
places
some
place
and
you
struggling
because
everyone
is
is
occupying
the
the
parking
you
don't
know
where
to
go.
So
as
soon
as
you
have
some
some
options,
and
you
see
a
guidance,
then
you
you
go
to
that
option.
The
thing
is,
this:
is
the
place
this
display
present
the
user
with
information
basic
information
about
how
many
free
spots
are
in
our
in
our
area
and.
A
B
A
B
A
C
B
A
A
B
You
need
you
need
a
large
amount
of
metal
in
order
to
to
to
modify
the
reading
of
the
sensor.
So
as
soon
as
you
enter
the
the
detector
thanks
you
as
a
car
and
after
that,
I
can
read
that
difference
in
number
I
mean
if,
if
at
the
beginning,
I
have
about
eight
cars
and
you
go
out,
then
I
have
seven
cars,
one
less
so
that
calculation
go
through
the
disrespect
by
that.
Has
this
shield
the
shield
is
made
by
us
and
has
two
modules.
B
B
Not
Wi-Fi,
I
we
use
low
frequency
bandwidth
about
four
33
megahertz,
so
we
can
bypass
a
lot
of
obstacles,
obstacles
and
because
of
that,
the
client
doesn't
need
to
to
do
an
installation,
physical
installation
of
tubing,
home
being
or
or
maybe
cabling
of
data.
So
you
just
need
to
put
it
a
name
and
ID
and
power.
A
B
They
certify,
as
the
main
hub
is
a
concentrator
of
every
devices.
I
mean
you
can't
have
as
many
entries
exit
installed
widely
and
as
many
displays,
install
wirelessly
and
all
those
devices
coordinates
inside
the
hub.
The
Raspberry,
Pi
and
the
rich
verify
submits
the
final
number
here
and
submits
the
final
data
to
the
dashboard.
B
B
A
A
You
can't
see
this,
that's
prefer
you
actually
3d
printing
to
screw.
Look
at
that
the
threading
itself.
This
is
as
a
3d
printer
myself.
This
is
beautiful,
work,
beautiful
design.
You
can
tell
it's
extremely
sturdy
and
a
very
genius
design,
and
then
you
also
have
these
these.
The
shield
that
you
did
custom
and
the
work
was
done
in
C&C,
using
visual
studio
to
talk
to
these
embedded
devices
correct
fantastic.
So
people
can
check
this
out
in
tella
park
into
a
park.
A
D
Everybody,
my
name,
is
social
Philip
and
right
now,
at
the
Caribbean
Developers
Conference
in
Punta
Cana
we're
checking
out
some
of
the
contestants
from
the
IOT
challenge,
so
I
want
to
talk
to
somebody
from
aggro
360
and
they
gotta
tell
us
a
little
bit
about
what
their
product
is.
So
how
you
doing
my
friend
I'm
doing
great
thank
you.
I
knew
I'm
doing
pretty
good.
Why
don't
you
tell
us
a
little
bit
about
yourself
and
also
tell
us
about
a
grocery
success?
Okay,
Eddie.
E
E
A
E
D
E
Right
now,
based
on
paper
published
by
the
Food
and
Agriculture
Organization
of
the
United
Nations
yeah
between
25
to
40
percent
of
the
food
production
worldwide,
is
lost
because
of
the
diseases
that
affect
the
crops
and
as
a
consequence
of
of
this
as
much
as
a
hundred
million
people
worldwide
suffer
chronic
hunger.
Yes,.
D
E
Yes,
we
have
IOT
sensors
that
we
deploy
in
the
farms,
the
sensors
measure
the
environmental
conditions.
You
know
that
data
is
sent
to
a
weather
station
that
measure
other
conditions
as
sunlight,
atmospheric
pressure
and
humidity
in
the
air,
and
that
data
be
sent
to
our
server
were
assisting
using
artificial
intelligence
correlate
the
variances
in
the
matter,
mental
conditions
with
those
conditions
that
were
taken
when
the
diseases
appear
right,
that
the
system
create
alerts
telling
the
farmer
what
to
do
to
prevent
the
appearance
of
the
diseases.
D
E
E
This
also,
this
is
deployed
on
the
phone
yeah
and,
let's
say
in
order
to
to
analyze
the
condition
of
Terry.
There
are
five
hackers
farm
which
is
Terry
Tereus,
which
is
the
measure
that
we
use
here
in
Dominican
Republic.
We
need
four
of
these
sensors
and
one
weather
station.
We
deployed
these
sensors
in
different
area
in
the
farm
in
cover
like,
like,
basically
a
square
sure.
Are
they
done
that
information
is
sent
to
our
server,
got.
D
E
Build
a
model
we
use
ml
net,
but
it
is
a
Microsoft
technology.
We
have
everything
hosted
on
hasher
in
order
to
create
the
data
set
for
for
the
for
the
system.
We
take
all
the
knowledge
of
my
agricultural
engineer
in
that
specific
disease
or
crop
you
know,
are
we
curate?
The
data
use
Mike
Microsoft
are
okay,
after
that
we
feel
the
the
model,
and
we
put
everything
together-
sure.
D
E
D
E
Series
so
based
in
the
farm
they
receive
the
conditions
on
the
karcher.
Also
they
receive
advices
or
alerts
based
on
those
condition.
Yeah
also
is
the
firm
that
takes
some
anomaly
in
the
leaf.
We
have
a
machine,
a
machine,
visual
model,
yeah
that
the
farmer
could
use
to
that
ad
to
to
know
which
disease
the
plant
has
o.
If.
D
E
Yeah
everything
is
processed
on
the
actual
servers.
What
I
going
to
do
right
now,
I'm
gonna,
show
you
I
gotta,
show
the
system
two
different
pictures
yeah
one
of
a
good
tomato
leaf,
yeah,
and
then
the
system
tells
me
that
is
a
husana
with
means
bleep
yeah,
and
then,
if
I
go
down
and
show
that
the
system
leaf
that
has
a
disease,
then
it
tells
me
that
it
is
affected
by
this
interfere.
A
E
Right
now
we
started
working
with
the
tomato,
which
is
the
number
one
fruit
no
worldwide
yeah
because
of
the
consumption
fresh.
All
this,
the
sausage
that
I
made
captured
and
is
a
very
important
crop
yeah
and
we
start
working
with
a
companies
called
fungi
Mundi.
They
are
one
of
the
main
rice
producers
in
Dominican,
Republic
yeah,
and
we
start
deploying
in
the
system
in
1500
firms,
rice
farms
in
Dominican
Republic.
Oh
that's
great.
D
Sure
sure
sure,
so,
if
I'm
a
farmer
right
and
I,
you
know
I
want
to
implement
something
like
this
into
my
farm,
like
how
easy
is
it
for
me
to
just?
Can
I
just
call
you
on
the
phone
and
then
you'll
stand
like
our
group
of
folks
from
your
team
to
come
and
now
you're
just
like
instrument
my
lands
like
IOT
data.
It's.
E
Basically,
how
it
works
department
could
contact
us
directly,
and
what
we
do
is
that
in
different
communities
we
identify
dude
an
employer.
You
know
how
we
train
them.
We
train
them
on
how
to
install
a
monitor
the
fire
using
agar
360.
Those
dude
are
the
one
that
helps
the
farmer,
install
the
sensors
and
they
visit
the
farmer
every
other
day
to
make
sure
that
everything
works
correctly.
So
with
a
great
resist
is
not
we
only.
We
are
giving
hope
to
the
farmers,
but
we
are
creating
new
job
opportunity
in
rural
areas.
For
those
kids.
D
Nice,
so
so
I
want
to
talk
about
the
last
piece,
so
I
have
the
system
right,
you're,
identifying
different
types
of
diseases.
Micro.
What
do
I
do
now
like
like
is
there,
do
I,
send
take
this
information
and
go
I,
know
purchase
certain
pesticides
or
treatments
for
my
plants,
or
does
your
company
do
anything
further
that
with
that
information
in
that
day
to
day?
Yes,.
D
A
Friends,
I'm
Scott,
handsome
and
I'm
here
at
the
CDC,
the
Caribbean
Developers
Conference
in
the
Dominican
Republic
I'm,
talking
to
Christopher
and
Eladio
about
I
bin.
This
is
super
cool
and
we're
really
impressed
with
this
solution
here
so
I'm
looking
at
these
are
trash
cans,
yeah
they're,
tiny
trash
cans,
but
let's
imagine
they
can
be
any
size.
Yes,
yes,
okay,
and
why
are
they
special?
Why
are
they
special
well.
C
A
C
C
A
A
A
C
C
These
three
collectors
will
have
divided
all
the
containers
that
are
in
the
soul,
and
it
will
run
the
algorithm,
traveling
salesmen
yeah
to
find
the
best
route
and
the
tourist
route
to
collect
these
containers,
and
it
will
assign
one
route
to
one
collector,
so
they
will
have
different
containers
and
different
routes,
so
their
shrewdest
is
going
to
be
the
choices
one
for
each
one.
That's.