With this information, we hope to find pedestrians that for some reason, stopped in the middle of the road for a certain amount of time You can likely infer that something is going on be it someone that maybe fell unconscious due to some kind of incident or if for some reason a crowd was inhabiting a crosswalk. With these real time results, we would hope to see fast response times from the EMT, police officers, and/or even other pedestrians
What it does
XStop tracks the nodes all around the city and realistically would update the data every 10 seconds With 10 second intervals, the data we are expecting to see is data such as (1 pedestrian, 0 meters / second) or (40 pedestrians, and less than 2 meters/second) A problem like this would be notified to users of the site (most likely authoritative and/or government positions and will be greeted with a live feed of the location the event occurred and be able to determine if it was an emergency
How we built it
Challenges we ran into
Accomplishments that we're proud of
Overall, project seemed complete to us given the challenges we ran into.
What we learned
Learned more about APIs with a ton of information.
What's next for xStop
Some more hackathons to sharpen our skills.