High-Level Project Summary
Our problem: The images that we get from JunoCam come in a raw format and require a lot of processing; so, they are not very accessible to the general public or even hobby scientists. Our Solution: Since people come to the NASA page to get these raw images, why not have a toolset on the website itself to process these images. This is important because it makes these images more usable to the general public.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
We do not have fully fledged details on how to make this a viable product that we can license to NASA yet. There are a few things that can be easily done. By assembling a team of web developers that we are connected with, we can develop web tools to interact with images. However, the actual process of processing the images on the website itself needs further research and development. WE would need to use HTML, CSS, JS and its frameworks, and python with its frameworks and open source computer vision packages. We would also need to some cloud space to host these applications. We are hoping, with some support, we can make this a functioning product by end of summer 2023.
Space Agency Data
We have the goal of being able to process JunoCam raw images at first. But We believe our program has the potential to do more, possibly processes images from other satellites.
Hackathon Journey
We learned that hackathons are not about creating a fully fledged working application within a span of 48-hours; It is more about generating ideas that can provide solutions to needs in the world. We first started off by trying to process these images using OpenCV in python but we ran into many difficulties along the way. So we decided to cut out the working demo from our submission. We ended up presenting just the idea and our philosophy of making things more accessible to people.
We would like to thank Arad Gharagozli, CEO of Galaxia Mission Systems on providing tips on how to structure our presentation.
We also would like to thank William Jones, student at Dalhousie University for putting together this team and working with us to research image processing.
References
Anomoly Detection Image from:
https://stackoverflow.com/questions/65138694/opencv-blob-defect-anomaly-detection
First Jupiter picture from:
https://www.wallpaperflare.com/search?wallpaper=jupiter
Another Jupyter Image:
https://www.gnome-look.org/p/1688208
We used Canva to make our presentation:
http://canva.com/
Tags
#software #computerVision #photoEditing #spaceExploration #spacePictures