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
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 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
Weight | 0.000000 kg |
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