Winner of the Google Tech Intern Hackathon
Improving the train riding experience for all New Yorkers, one Raspberry Pi at a time!
Metronome deploys low-power IoT devices that monitor and report the number of train riders on a per-car basis. Metronome then integrates with smart displays and indicator lights at stations' platforms to indicate to subway riders which cars are less crowded.
Install the following python requirements (you can use virtualenv):
sudo pip install requests
sudo pip install python-firebase
sudo pip install flask
sudo pip install flask_socketio
Run the server
cd server && python main.py
On metro surveillance cameras, run
python train_car.py
(uses Raspberry Pi Camera)
Possible integration with existing feeds (MTA and Google Transit) sketched below
