Real time Face Expression detection using Open CV with Raspberry Pi

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Real time Face Expression detection using Open CV with Raspberry Pi

SKU: Face Expression detection using Open CV with Raspberry Pi Category:

Description

ABSTRACT

Image processing is most needed technology for every type of applications like to process the image and to do some physical activities based on the results. Likewise in Python programming which also used for many machine learning projects, The technology which plays a major role in image processing using python programming is Open Computer Vision(Open CV). By using this Raspberry Pi with Open CV project, you will learn to use Open CV on Raspberry Pi to detecting the Facial expression. This is done by placing 68 landmarks in the face and to analyze those dots to predict the expression.

BLOCK DIAGRAM

Block diagram of Raspberry Pi with Camera

BLOCK DIAGRAM DESCRIPTION

The camera is connected to the Raspberry Pi, and to view the image monitor is connected.to visualize the expression at Real time. by using the IP camera through the Mobile quality of the image will be in good at quality.

PROJECT DESCRIPTION

This Raspberry Pi project which contains camera will detect the face first and it will place the 68 landmarks and based on the landmark movement, based on deep learning analysis done by pre-trained model. It will finalize the emotion based on the landmarks.

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
  • Keras
  • Numpy

 

CONCLUSION

By placing 68 Facial landmarks at real time in our face, based on the pre-trained model, it will recognize the emotion of the person.

Additional information

Weight 0.000000 kg

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