IntroWe are the Thunder Struck Cows and

our project is a weather app.

Community

The fifth graders at our school went to Cal-Wood, an out door education field trip, and we were stuck there by a lot of rain with food shelter and no ideas of how to get out. If we had a way of predicting the long rains we would have been better off.

Cal-Wood Pictures

The Problem

We need an accurate weather app that helps us predict the weather when you’re away from home/civilization.

Our Research

We researched:

•Cloud types

•G.P.S.

•How pattern recognition is used in software

Cloud Types•There are 4 main types of clouds

•The cloud types are cirrus, cumulus, stratus, nimbus

• The clouds that show worst weather are: nimbus and the combo clouds such as cumulonimbus and nimbo stratus

Clouds

Cumulus Cirrus NimbusStratus

G.P.S.•There are 64 G.P.S. satellites around the world.

•G.P.S. stands for Global Positioning System

•It will not need Wi-Fi to work outdoors, but phones still need Wi-Fi to preload maps at home.

•If there are at least three satellites in range, it uses the distance between the satellites and the G.P.S. device to determine your location.

Image Recognition• An image-recognition system developed in Europe, called MOBVIS,

can recognize buildings from photos and pull up information about them.

• Retailers are prototyping apps that help enhance in-store customer service. It would enable shoppers to scan an item found in a store, and pull up current inventory. It could also recommend similar items that are available and have them ready for the customer at the checkout counter.

• Current image recognition software can identify a wide variety of objects. Smartphones have pushed this technology to consumers. For example, logos, cars, landmarks, and book and album covers can be identified.

Here are a few real world examples of how image recognition is used.

Our Idea

We think smartphones and image recognition technology could be used to identify cloud types and predict the weather.

Our Presentation/Invention

(the next 8 slides are a model of our app)

Pocket WeatherPocket

WeatherA weather app by The Thunder Struck

CowsClick to Continue

MenuWeather alerts

G.P.S.

Photo predictions

Portable station input

Credits

X

Settings

Photo predictor

Take

picture for

predictionMenu

G.P.S.

Menu

Severe Weather

Alerts

Hurricane - 0%

Tornado - 5%Menu

How to get home

Flash flood/flood - 2%

Portable station input

Rain 0.3 in.

1 in. 0 in.

Wind(mph)

20 30 5

Temp. (F)

40 40 60

CloudType

Cumulus Nimbus none

Monday Tuesday Wednesday Thursday Friday

Menu

Could Type: CumulusRain Chance =

10%

Back

Menu

Made by the Made by the Thunderstruck CowsThunderstruck Cows::

Luca VoellerLuca Voeller Brian Park to our coachesBrian Park to our coaches

Trevor Wolf Trevor Horn Chris Parker andTrevor Wolf Trevor Horn Chris Parker and

Miles CrugerMiles Cruger Wyatt Wills Matt WolfWyatt Wills Matt Wolf

Cameron Parker Aidan Serquina Cameron Parker Aidan Serquina

Thomas Russell Ji Yong JeonThomas Russell Ji Yong Jeon

Exit

Our Conclusion

If we had the Pocket Weather app at Cal-Wood

we might have escaped before the major rain fall. In the

future this app could be of major use on mobile devices

to predict both severe and minor weather. With it’s high

tech image recognition,GPS data and portable weather

station it could be a useful app for campers, hikers, and

tourists everywhere.