Implement Real-Time Face Recognition in security_system.py

[sanskaromar]

Description

In the security_system.py file, there is a section marked with # TODO 3 that requires implementation. This task involves implementing real-time face recognition within the recognize_face method.

Expected behavior

1. Face Detection and Recognition (in recognize_face method):
   • Implement the code within the # TODO 3 section to achieve the following:
     • Convert the input frame to grayscale for face detection.
     • Load the custom Haar Cascade classifier for face detection.
     • Perform face detection on the grayscale frame.
     • Iterate through each detected face.
     • Extract the detected face region.
     • Perform facial recognition on the detected face.
     • Draw a bounding box around the detected face.
     • Annotate the frame with the recognized user's name and authorization status.
     • Log the access attempt (as described in a previous task).
   • Your code should enable real-time face recognition on video frames captured from a camera source.

Additional context

• The code structure and comments are already provided in the security_system.py file.
• You can locate the specific section that needs implementation by searching for # TODO 3 in the security_system.py file.

Completing this task will ensure that the recognize_face method performs real-time face recognition and annotates video frames with recognized user information.

[Aqua-16]

@sanskaromar Sir I would like to contribute to this if possible.

[sanskaromar]

Hey @Aqua-16 , Please work on your previously assigned issue first. Let's get that merged first!

[sanskaromar]

You can request it now from Contrihub. @Aqua-16

[Aqua-16]

Sir I have tried to improve my commits this time.