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Real time drowsiness detection and alerting system based on deep learning (CNN) and object detection (Open Cv).

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thatdanish/Driver_Drowsiness_Detection

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Driver Drowsiness Detection Using Facial Features

Project Aim & motive:

This project is a part of junior year curriculum. In this project we aim to real time detect driver's alertness level while driving, and sound an alarm if the driver is not paying attention.

Model Architecture:

  • will be updated soon

Base Requirements:

  • will be updated soon

Change Logs:

  • model_det v1.0 : Base model architecture.
  • model_det v1.1 : Real-time detection, actions on detection added - Text display,window-border color.
  • model_det v1.2 : Alarm sound, alarm starts beeping after certain time of not paying attention,detection is displayed better,fix: Alertness level now decreases on drowsiness.
  • model_det v1.3 : Features Added:(1) Now real time FPS shows up in the rightside-up corner (2) Now there is an option to turn of alarm(manually) .

NOTE: This project is still in development phase and some feature might not work as expected.

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Real time drowsiness detection and alerting system based on deep learning (CNN) and object detection (Open Cv).

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