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Automated alert system that employs Haar Feature-based cascade classifiers for face detection, extracts and tracks the facial components in live webcam feeds to detect a snoozing driver.

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SaumyaRawat/SafetyFirst

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Project: SafetyFirst

Project Description:

  • An API that uses computer vision to detect if drivers of vehicles are sleepy, and sounds an alarm to wake them up. We use three primary key point detectors to check if a person is sleepy:
  1. Frontal face detection: to detect the tilt and position of the face and check if the driver is looking ahead.
  2. If the driver's pupils are not visible for a certain amount of time, it is implied that their eyes are closed and hence they have dozed off or they are not looking front.

Worked on as a part of Microsoft Code.Fun.Do

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Automated alert system that employs Haar Feature-based cascade classifiers for face detection, extracts and tracks the facial components in live webcam feeds to detect a snoozing driver.

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