Inspiration
We interested in seeing in the dark the technology and decided to apply it to a real world problem. Since we had interest from different areas, we found how to incorporate all of our ideas to the project.
What it does
Robots is designed to see in dark environment through a two stage low light enhancement network using zero dce and contextual attention network.
How we built it
Two stage low light enhancement and 3d printed design with arduino
Challenges we ran into
A lot of things we had to get right the first time. For the AI, hyperparameter tuning was an issue for zero dce
Accomplishments that we're proud of
The innovations we made and teamwork we had.
What we learned
Specific network architectures. The medical imaging problem. CAD. Electrical engineering.
What's next for Revolutionary Imaning AI Robot
Trying to apply this as a real world application. Depending on funding and other factors.
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