nathanrooy/rpi-urban-mobility-tracker
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
This project helps urban planners, traffic engineers, and researchers automatically count pedestrians, cyclists, and vehicles. You feed it live video from a Raspberry Pi camera or an existing video file, and it outputs counts and optionally annotated video frames showing detected and tracked objects. It's designed for someone needing to gather precise mobility data in outdoor or indoor environments without constant manual observation.
131 stars. No commits in the last 6 months.
Use this if you need to set up an inexpensive, autonomous system to track and count different types of traffic (pedestrians, bikes, vehicles) using a Raspberry Pi or similar edge device.
Not ideal if you need to identify specific individuals or vehicles, as this tool focuses on counting and broad categorization.
Stars
131
Forks
36
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Aug 04, 2024
Commits (30d)
0
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