A smart driver monitoring system using Raspberry Pi with Open CV

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A smart driver monitoring system using Raspberry Pi with Open CV

SKU: A smart driver monitoring system using Raspberry Pi with Open CV Category:

Description

ABSTRACT

The probability of Accident happening by the Driver is higher when compared to other probabilities, especially driving at night, because of many parameters like drowsiness and by alcohol consumption. So if the possibility of drowsiness is identified, then the accidents can be avoided. So we are implementing this project to monitor the driver by noticing the parameter of drowsiness detection using open CV technology and monitoring alcohol consumption.

BLOCK DIAGRAM

 Block diagram of A smart driver monitoring system using Raspberry Pi with Open CV

BLOCK DIAGRAM DESCRIPTION

In the above Block diagram, Gas sensor is connected to the Raspberry Pi through Analog to Digital converter to detect the alcohol consumption. The camera is connected to the Raspberry Pi to detect the Drowsiness

 

PROJECT DESCRIPTION

A camera which is connected to the Raspberry Pi monitors the Driver activity like drowsiness, if it identifies the drowsiness, then it is identified and reduces the speed of the car or stops the car or by alerting by some sound. Then it will check for the Alcohol consumption, if driver consumes alcohol then the speed of the car gets controlled on the low speed until there is no alcohol detected. Since this is for Raspberry Pi beginners, this system can be further innovated by additional features to Driver monitor to avoid accidents by having an auto driven mode.

 

HARDWARE REQUIRED

  • Raspberry Pi
  • Power Adapter
  • HDMI to VGA converter (optional, when connecting to Monitor)
  • MCP3008 (ADC IC)
  • Camera

 

SOFTWARE REQUIRED

  • SD Card Formatter
  • Win32 Disk Imager (or) Etcher

 

LIBRARIES USED

  • Rpi.GPIO as GPIO (To access GPIO Pins of Raspberry Pi)
  • Time library (For Delay functions)
  • CV2

 

CONCLUSION

This is the simple Raspberry Pi project idea to monitor the Driver which may lead to an accident, to avoid by giving some alert when drowsiness detected or detecting the alcohol consumption by the driver

Additional information

Weight0.000000 kg

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