Driver Attention Monitor
active,
Founded 10 months ago

The developed pipeline should be able to recognize driver's drowsiness using real-time video of the driver's face and trigger an alert if necessary. Additional functionality may allow to collect driver's state data from the whole workday, marking the the most drowsy or distracted states on timeline. Application is run using Streamlit library.

CVemotion recognitionPythondrowsiness detectionposition tracking

Repository

Source code & wiki are available on GitHub.

Usage

For docker build&run instruction, please refer to the Wiki: Run app using Dockerfile. Details of pipeline structure can be found at Detection pipeline structure page.

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