Future Creators Winter 2021
Innovation Award 1st Place!
"This project uses the PyTorch machine learning library to apply a computer vision machine learning technique built from a neural network primarily consisting of convolutional layers. Using this neural network, the program is able to identify the difference between cats and dogs and I am working towards making it capable of correctly identifying different dog breeds. This type of computer vision technique has had lots of applications in the last few years and has become one of the most important types of machine learning."
- Carter Babin
Innovation Award 2nd Place!
"For my innovation, I wanted to do something that I had never seen before, something that, to my knowledge, didn’t exist. The idea that I had that fit into this criteria was ‘traction paddles’” (for lack of a better name). Basically, these paddles were rotated so that they deployed outwards providing increased traction on all sorts of terrain. Conceptually, the mechanical system is like that of the pitch adjustment on an airplane propeller. When force is applied to four bars sticking out of the inside of the wheel via a disc brake-like principle they in turn push on a panel on the other side of the wheel. These panel forces cams attached to the paddles to rotate 90 degrees. These paddles, when deployed, fit into notches on the wheel that keep them rooted in place. This is the innovation that I came up with for the contest, something new and useful."
- Bennett Visser
