Bellspringsteen/OurCamera
https://www.nytimes.com/2018/03/15/nyregion/bike-lane-blocked-new-york.html
This project helps urban planners, city officials, and traffic management teams analyze street-level traffic patterns and identify violations. By feeding in live camera footage from city streets, it processes the video to classify different vehicle types and detect instances of traffic lanes being blocked. The output provides actionable data on vehicle presence and illegal parking, helping to enforce traffic laws and improve urban mobility.
374 stars. No commits in the last 6 months.
Use this if you need to monitor urban traffic, identify blocked lanes, or analyze vehicle types from street camera footage to inform policy or enforcement.
Not ideal if you're looking for a simple, plug-and-play solution without any technical setup, as it requires familiarity with machine learning environments.
Stars
374
Forks
35
Language
Python
License
MIT
Category
Last pushed
Mar 21, 2018
Commits (30d)
0
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