## Inspiration

The idea was to help people who are blind, to be able to discretely gather context during social interactions and general day-to-day activities

## What it does

The glasses take a picture and analyze them using Microsoft, Google, and IBM Watson's Vision Recognition APIs and try to understand what is happening. They then form a sentence and let the user know. There's also a neural network at play that discerns between the two dens and can tell who is in the frame

## How I built it

We took a RPi Camera and increased the length of the cable. We then made a hole in our lens of the glasses and fit it in there. We added a touch sensor to discretely control the camera as well.

## Challenges I ran into

The biggest challenge we ran into was Natural Language Processing, as in trying to parse together a human-sounding sentence that describes the scene.

## What I learned

I learnt a lot about the different vision APIs out there and creating/trainingyour own Neural Network.

## What's next for Let Me See

We want to further improve our analysis and reduce our analyzing time.
## Inspiration

Helping people who are visually and/or hearing impaired to have better and safer interactions.

## What it does

The sensor beeps when the user comes too close to an object or too close to a hot beverage/food.
The sign language recognition system translates sign language from a hearing impaired individual to english for a caregiver.
The glasses capture pictures of surroundings and convert them into speech for a visually imapired user.

## How we built it

We used Microsoft Azure's vision API,Open CV,Scikit Learn, Numpy, Django + REST Framework, to build the technology.

## Challenges we ran into

Making sure the computer recognizes the different signs.

## Accomplishments that we're proud of

Making a glove with a sensor that helps user navigate their path, recognizing sign language, and converting images of surroundings to speech.

## What we learned

Different technologies such as Azure, OpenCV

## What's next for Spectrum Vision

Hoping to gain more funding to increase the scale of the project.
## Team

Sam Blouir

Pat Baptiste

## Inspiration

Seeing the challenges of blind people navigating, especially in new areas and being inspired by someone who wanted to remain blind anonymously

## What it does

Uses computer vision to find nearby objects in the vicinity of the wearer and sends information (X,Y coordinates, depth, and size) to the wearer in real-time so they can enjoy walking

## How I built it

Python, C, C++, OpenCV, and an Arduino

## Challenges I ran into

Performance and creating disparity maps from stereo cameras with significantly different video output qualities

## Accomplishments that I'm proud of

It works!

## What I learned

We learned lots about using Python, OpenCV, an Arduino, and integrating all of these to create a hardware hack

## What's next for Good Vibrations

Better depth-sensing and miniaturization!