Inspiration

Interest in self driving car technology

What it does

Provides auditory feedback to user of the obstacles in their path in the case of walking down the sidewalk.

How we built it

We built a SLAM algorithm, and fed it to a convolutional neural network to make predictions of the surrounding obstructions, and then translated these predictions into speech

Challenges we ran into

Raspberry pi memory constraints

Accomplishments that we're proud of

We accomplished what systems with many additional sensors achieve, with only one camera.

What we learned

The importance of multithreading/multiprocessing

What's next for Moncolular Obstruction Estimation for the Visually Impaired

Adding loop closure, porting to a smartphone or more powerful integrated circuit (FPGA, or cloud platform)

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