EgoFlow is an open-source platform for collecting egocentric video with smart glasses.

It is built for researchers who need an easier way to accumulate first-person video data, monitor live streams, and reuse collected videos in research workflows.

Smart glasses -> EgoFlow app -> EgoFlow server -> ego-flow Python library

• Collects egocentric videos from smart glasses
• Supports both uploaded recordings and live streaming
• Helps teams manage and review accumulated videos through their own server
• Makes collected videos easier to use from Python for research

To start collecting videos, run your own server with ego-flow-server.

Use the Android app path today to upload or stream videos from smart glasses. iOS support is planned.

To use accumulated videos or live streams in Python:

pip install ego-flow

• ego-flow-server: the main platform for receiving, organizing, and serving EgoFlow videos
• ego-flow-app: app-side projects for capture, upload, and live streaming
• ego-flow-py: Python tools for using EgoFlow videos in research environments

EgoFlow aims to accelerate egocentric video data accumulation for research.

We want first-person video collection to be easier, more open, and more reusable for the research community.