High-Level Project Summary
This project is based on detection of debris in outer space using machine learning. This is so easy to implement as it neglects the black background and detects the debris easily using python libraries.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
PROJECT IDEA:
In outer space everything will be dark except debris . If we can exclude the things in black from footage, the remaining will be debris.So create a boundary range for black colour
Import the footage or realtime data and then create two kernels for opening and closing
Next in a looping manner, extract each frame from footage , resize it convert it into HSV from BGR , because it easier to operate on that regarding colours .
Create a mask with lower bound and upper bound, with that created a mask, open that by passing the created mask with kernel open. Close it with kernel.Next find contours(outline of objects) by using chain-approx-none algorithm.And then its a matter of drawing a simple bounding rectangle around the debris and show it to display.
Space Agency Data
we have planned to make use of the footages from ssn sensors. as of now we have made our project using a small video
Hackathon Journey
The experience was so good and i have learnt a lot of new things by attending this hackathon
References
we have used python libraries like numpy , openCV etc..
Tags
#software #machinelearning #openCV