2. Important Links
Youtube Demo of App:
https://www.youtube.com/watch?v=VjoRMRQsXHI&feature=youtu.be
Google Play (Download Android App):
https://play.google.com/store/apps/details?id=com.dwapplications.sampl
e.cloudvision
iOS Coming Soon!
Github Link:
https://github.com/danw5050/energyChallenge/
3. What’s the problem?
Well, its simple. One of the biggest problems is
that people don’t know which green energy to
choose and how much it can save them.
Sure, there are all these fancy graphs online
that say how much you are likely to save but
nothing beats complete personalization.
4. Lazy Energy
Lazy Energy focuses on making it super simple
and quick to discover how much a type of
green energy can save you.
It works by using sensors in your phone
including the camera, microphone and light
sensor to understand your environment and
determine how different green energies might
benefit you.
7. Homepage
Here is the home
page. Its super
simple! Just click
on an icon to
explore.
8. Solar Sensor
The solar sensor uses
your phone’s light
sensor to determine
the amount of LUX
(brightness) in your
environment. From this
it can calculate how
much energy it would
generate at that very
moment using solar
panels and how much
you could save.
9. Wut...Light Sensor?
The way it works is simple. We know that the sun
produces 0.0079W/m^2 [1] per Lux. Knowing
the amount of Lux from the light sensor, the
cost/watt of the user, and the amount of space
they have, we can calculate how much money
and power they can make.
[1] http://bccp.berkeley.edu/o/Academy/workshop08/08%20PDFs/Inv_Square_Law.pdf
10. Wind sensor
The wind sensor works by
isolating the sound of the
wind and determining
how fast it by correlating
to how loud the noise is.
This can then give an
estimate on how much
energy you can make at
that very moment through
wind turbines.
11. Micropownage?
There was a lot of trial and error
here. I blew into the microphone
at certain strengths and tested
how loud the microphone
registered it. I eventually had a
set of values that I thought
differentiated different speeds
well.
12. Micropownage?
The speed and energy
produced was
calculated similarly to
the Solar Sensor. In
this case, I used the
‘Swept Area’ field as
the area and ‘Energy’
as the amount of
power of a common
small wind turbine.
https://www.solarwholesaler.ca/product/air-
30-24-volt-wind-turbine-30-kwhrs-per-
month/
13. Energy Camera
Ok, this part is pretty cool.
This is the Energy
Camera. All a user needs
to do is take a picture of
anything in their
environment and click
on “Analyze Energy
Sources”
14. Energy Camera
The app then uses AI Vision
Recognition to find items
of interest. In this case, it
found Wind Turbines. This
is an obvious example but
it’s not always the case.
This feature helps identify
possible sources of green
energy that a user may
have not even realized
that have access to.
15. Energy Camera
Clicking on the “Learn
More About This!”
button takes you to a
reputable source about
the energy.
17. But how do we sell?
The app helps users identify
useful green energy
personalized for them.
However, the end goal is
for users to message us.
We can use this platform
to help users identify what
energy they want and sell
this information or
provide them with an
offering.
18. But how do we sell?
All of this information is
then recorded in our
Firebase backend for
further review.
In the future I plan to have
an automated chatbot to
communicate with the
user and help them figure
out what energy works
best for them.