Project Details

Awards & Nominations

elsysers has received the following awards and nominations. Way to go!

Global Nominee

The Challenge | Chasers of the Lost Data

Help find ways to improve the performance of machine learning and predictive models by filling in gaps in the datasets prior to model training. This entails finding methods to computationally recover or approximate data that is missing due to sensor issues or signal noise that compromises experimental data collection. This work is inspired by data collection during additive manufacturing (AM) processes where sensors capture build characteristics in-situ, but it has applications across many NASA domains.

SuperRes

Super resolution convolutional neural network for retrieving lost data in pictures taken by space explorers.

elsysers

The year is 1969. One of the greatest events in history - the Moon landing. It's remarkable, but the original footage lacks detail. We can fix that. Introducing: SuperResolution - the simple and intuitive image refiner. Using artificial intelligence, our project aims to restore the detail in what initially are blurry images with indistinguishable details. It may sound complicated, but we've made it very simple to use. Simply select your image, pick how many times you want to get the photo zoomed and... you're done! In our aim to research the future, we often forget our past and when we look at it, we can't make much out. SuperResolution is the change.

Now that the equipment up there costs hundreds of thousands of dollars doesn't necessarily mean that all the details of a high-quality picture are present especially when zoomed in. That's where SuperResolution comes in hand. Once the cropped piece is given to the network all blurred pixels will sharpen and the image will once again be clear and understandable.