Real time Face parts recognition for multiple Face using Open CV with Raspberry Pi

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Real time Face parts recognition for multiple Face using Open CV with Raspberry Pi

SKU: Face parts recognition for multiple Face using Raspberry Pi Category:

Description

ABSTRACT

Open CV is the technology used to do image processing using Python Programming, which here is used to detect the Facial parts using 68 landmark predictor. This is implemented in Raspberry Pi system which is connected with the camera can be used to implement some hardware applications like detecting faces in the group the technology used in a mobile camera to set the focus for every faces, same which implemented using Raspberry Pi Open CV. This can be further modified based on the applications like counting the number of people in the group.

BLOCK DIAGRAM

Block diagram of Raspberry Pi with Camera

BLOCK DIAGRAM DESCRIPTION

The camera is connected to the Raspberry Pi, and the monitor is connected by using HDMI to VGA converter, or we can connect the Raspberry Pi with the Laptop using the Remote desktop.

 

PROJECT DESCRIPTION

This Raspberry Pi project is emerged with Open CV technology to detect the Faces and to place 68 landmarks in every one face to detect the face parts and to display the number of persons present in the group.

 

HARDWARE REQUIRED

  • Raspberry Pi
  • Power Adapter
  • HDMI to VGA converter (optional, when connecting to Monitor)
  • 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
  • Argparse
  • Imutils
  • dlib

 

CONCLUSION

Raspberry Pi can be used in all sorts of applications like to process in-depth analysis of the image using various library like dlib, which can be modified based on applications.

Additional information

Weight0.000000 kg

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