Mainakdeb/street-vision
deep-learning based data extraction from surveillance videos
This project helps urban planners, traffic engineers, and city managers extract valuable insights from public surveillance videos. It processes raw video footage and outputs a CSV file detailing object counts (like cars, trucks, pedestrians) frame-by-frame. These structured insights can then be used for traffic control, accident prevention, or road expansion planning.
No commits in the last 6 months.
Use this if you need to analyze patterns and object counts from surveillance video footage to inform urban planning or traffic management decisions.
Not ideal if you require real-time alerts or highly specific object identification beyond general categories.
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Last pushed
Mar 30, 2021
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