rpi-urban-mobility-tracker
rpi-urban-mobility-tracker is an open-source video ai project written in Jupyter Notebook with 130 stars on GitHub.
The authors describe it as: “The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.”
Whatever you record, edit or capture with rpi-urban-mobility-tracker, Whipscribe transcribes the audio track into an accurate, speaker-labeled transcript with SRT/VTT captions — 100+ languages, secured private cloud. About $2 per audio hour, with a free instant preview.
Transcribe a file →Top rpi-urban-mobility-tracker alternatives
See the full list of rpi-urban-mobility-tracker alternatives →
Frequently asked
What is rpi-urban-mobility-tracker?
rpi-urban-mobility-tracker is an open-source video ai project written in Jupyter Notebook with 130 stars on GitHub. The authors describe it as: “The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.”
Is rpi-urban-mobility-tracker free?
rpi-urban-mobility-tracker is open source — free to use; check its license for redistribution terms.
What are the best rpi-urban-mobility-tracker alternatives?
The closest alternatives in the same category include opencv, cs-video-courses, d2l-zh, AI-For-Beginners, ultralytics — each has a live profile with facts and its own alternatives list on this hub.