-25% Driver Drowsiness Detection System using opencv

LCD DisplayProduct Overview

This project is aimed towards developing a prototype of drowsiness detection system. This system is a real time system which captures image continuously and measures the state of the eye according to the specified algorithm and gives warning if required. Though there are several methods for measuring the drowsiness but this approach is completely non-intrusive which does not affect the driver in any way, hence giving the exact condition of the driver. For detection of drowsiness the per closure value of eye is considered. So when the closure of eye exceeds a certain amount then the driver is identified to be sleepy. For implementing this system several OpenCv libraries are used including Haar-cascade. The entire system is implemented using Raspberry-Pi.


Hardware Specifications


Product Information

Kit Contents:

DIY Kit

  • Assembled and Tested PCB
  • PCB With Circuit
  • Discrete Components
  • Tool Kit (Optional)
  • CD containing:
  • Circuit Diagram
  • PCB Layout
  • Abstract
  • Project Report
  • Project Presentation
  • Tutorial Videos
  • Learning Materials
  • Datasheet and References

PROJECT KIT

  • PCB With Circuit
  • Discrete components
  • Tool Kit (Optional)
  • CD containing:
  • Circuit Diagram
  • Abstract
  • Project Report
  • Project Presentation
  • Tutorial Videos
  • Learning Materials
  • Datasheet and References

READY MADE KIT

  • Assembled and Tested PCB

Tool Kit (Optional)

  • CD containing:
  • Circuit Diagram
  • PCB Layout
  • Abstract
  • Project Report
  • Project Presentation
  • Tutorial Videos
  • Learning Materials
  • Datasheet and References

Tool Kit (Optional):

  • Multimeter
  • Soldron Soldering Iron
  • Solder Paste
  • Solder lead
  • Solder Wick
  • Dot PCB/Line PCB
  • Nipper
  • Wires

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Driver Drowsiness Detection System using opencv

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Tags: opencv projects, Robot kits, Project, Raspberry pi Projects, real time image processing based projects