This project is an augmented reality hackathon project developed for the 2017 Connected Care Design Hackathon hosted by the MIT Design Labs in honor of Bill Mitchell. This project is called "Nuvision" and is inteded to be a simulation of a connected eyepiece (whether they by contact lenses, glasses, or other form of glasses). Nuvision integrates data from a number of sources and provides them in clean, concise manner overlayed into user vision.
- Google Maps API
- Heat maps
- Marker locations
- Boston Open Data Resources (Socrata)
- Utilized real crime data offered by the City of Boston.
- Kairos Facial Recognition API
- Bootstrap Web Framework
- Foscam IP Camera
- Clone the repository:
git clone https://github.com/drewtu2/mitConnectedCare.git - Initialize Submodule Dependencies (requires github SSH keys)
git submodule update --init --recursive
cd kairos-face-sdk-python
pip install .
- Install the rest of the pip requirements from requirements.txt
cd ..
pip install -r requirements.txt
- Set up the flask app variable
export FLASK_APP=app.py
- To turn on facial recognition
export PROD=True
- Camera: requires an IP camera on with MJPEG video stream on 192.168.1.9:88.
- Run
flask run - Go to: [http://127.0.0.1:5000/]
- Dashboard controls can be found at [http://127.0.0.1:5000/dashboard] Note: Feed may take a couple minutes to configure. May require occasional refreshes to attempt to load background feed.
Nuvision ultimate placed Top 5 at the Connected Care Hackathon. Competition was a mix of undergrads through PhD students.
- Slide Deck: https://drive.google.com/open?id=1IcgVUkzcntxwA6RsAlXG6zQTU9aUqKPnZ5QtAqGHIWg
- Hackathon Recap Video: https://vimeo.com/219319639
- Video of presentation:
~~ - Add better comments ~~
- Add Links to README for documentation of results purposes