Many people live in fire prone areas and there are also often millions of dollars of equipment in forests, and there are often miles of unwatched forest due to the limited resources given to the agencies responsible. This dashboard will potentially give those agencies a dashboard to see what is going on when a fire is detected automatically by aggregating tweets sent to a certain hashtag. Also, people subscribed to our dashboard can see posts regarding fires in their area.

What it does

An edge node uses a camera and openCV to calculate whether there might be a fire. After deciding that there is, it sends a post request to a node server that can handle what to do next.

Once the node server gets the post, the person watching the dashboard can look at the picture that the conclusion was based on and decide whether it is actually an issue. Then they can read

How we built it

Python client on edge node using openCV Node/React dashboard Twitter API

Challenges we ran into

Fire is hot.

Accomplishments that we're proud of

Teamwork! Also just having fun making things.

What we learned

We learned how to use the TwitterAPI and realized OpenCV uses BGR instead of RGB

What's next for FyreWatch

Who knows... but it will be LIT

Table 33, Row 3

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