Eagle-Eye

Inspiration

Problems in wildlife encouraged us to take part in the ZooHackathon

What it does

It takes images that are scanned by infrared motion sensors and filters them so that the rangers in wildlife preserves get correct alerts when potential threats are detected(e.g. Humans)

How we built it

We used Python, CSS, HTML, JavaScript, OpenCV, Photoshop

Challenges we ran into

Noise due to various movements in the background Pixels isolation amongst photo layers Differentiation between sharp intensity gradients Differentiation between a human disturbance and animal disturbance

Accomplishments that we're proud of

creating our very own original homemade algorithm for preprocessing being able to actually process images working as a team

What we learned

learning OpenCV learning PIL doing image processing in general

What's next for Eagle-Eye

implementing our project on a larger scale implementing Project with deep learning algorithms

Built With

Submitted to

Zoohackathon 2017

Created by

I worked as a backend developer during the hackathon. I worked on algorithm creation and development in python.

Anish Bhardwaj
Eat, Sleep, Hack, Repeat
I worked on the backend and learned and implemented Python libraries to manipulate the images to get the desired output

Shreyansh7499
I worked on the backend using python and is libraries to design and implement the algorithm to determine the presence of an out of place object such as an animal or human with respect to our default environment.

Aman M
I was the frontend developer who created the website with html,css, javascript

shivankar Sharma
Royal Tomar
Sehaj_Singh

Updates

Anish Bhardwaj started this project — Oct 08, 2017 08:07 AM EDT

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