Forest Fire Detector

Inspiration

After the Australian Bushfires of 2020, which killed or harmed atleast 3 billion animals and left 113 animals species either extinct or on the brink of extinction as per WWF, it striked me that if we knew the location of the fires beforehand, we could have saved millions of lives. Thus, I learned and created this Python project.

What it does

This program highlights fires in an image by identifying pixels whose red intensity is more than INTENSITY_THRESHOLD times the average of the red, green, and blue values at a pixel. Those "sufficiently red" pixels are then highlighted in the image and other pixels are turned grey, by setting the pixel red, green, and blue values to be all the same average value.

How we built it

I used simpleimage, an additional proprietary library created by Stanford which is an extension of Python's Image Processing Library or pillow.

Challenges we ran into

We were unable to import PIL into our Visual Studio Code, then after that, we were having problems fixing the "redness" of the pixels in our image and finally, the "get_file()" command which is responsible for inputting an image was not functioning at all.

Accomplishments that we're proud of

We were successfully able to pin-point the exact fire locations which happened in Greenland, 2019.

What we learned

Using pillow in Python.

What's next for Forest Fire Detector

Integrating it in a website.

Built With

• python