opendatacam
An open-source computer vision tool that detects, tracks, and counts moving objects from cameras and videos.
What is opendatacam?
OpenDataCam is an open-source computer vision tool that uses machine learning to detect, track, and count moving objects from video feeds or recorded videos. It solves the problem of quantifying real-world movements—like traffic flows or pedestrian activity—by providing an accessible, self-hosted platform for object analysis without requiring extensive AI expertise.
Urban planners, traffic engineers, researchers, and IoT developers who need to analyze object movements from video sources for studies, monitoring, or data collection.
Developers choose OpenDataCam for its ease of setup, self-hosted data ownership, and flexibility—it works on edge devices and cloud, supports custom models, and offers both UI and API interfaces for diverse use cases.
Overview
An open source tool to quantify the world
Use Cases
Best For
- Conducting traffic studies like modal-split and turn-count analysis
- Monitoring pedestrian or vehicle movements in urban planning
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