A HackTheNorth 2018 project! More information here
A hackaton project inspired by problems in the health field.
This app allows for easy recognition of faces using OpenCV. This essentially identitifies faces in a video feed and actively matches it to people in a contacts list. This is then sent to a Fitbit which notifies the wearer of the person's identity.
We used OpenCV, python, flask and heroku to build it and deployt it; The Fit-Bit Studio and Javascript was used for the watch integration.
main.py represents the main video acquiring program, based on a project developed by the canadian army.
The index.js and indexCompanion.js files are to be imported into Fit-Bit studio for functioning of the app. Ideally, use the Face-Recognition-export.zip file instead since it defines graphical settings needed for correct running of the Javascript code.
All the rest is mostly Flask based and for deploy with Heroku.