kilj4eden/realtime_facialrecognition

Real time Facial Recognition using the face_recognition module and ip cameras.

Realtime_FacialRecognition

Real time Facial Recognition using the face_recognition module and ip cameras.

Prerequisites:

1 - Python

2 - OpenCV

3 - Sklearn

4 - PIL (pillow)

5 - numpy

How to Use:

1 - Clone the repo.

2 - Install the required libraries.

3 - Find your camera ip and change it in the code, in a rare case when opencv can't crack open your ip camera url, use specific my repo for acquiring images from ip cams using urrlib at https://github.com/KiLJ4EdeN/IPCAM_urllib.

4 - To add training examples of your own, Go to knn_examples/train, each folder name represents a person and inside that folder will be images related to that person for the knn to be trained.

5 - Run facerec_ipcamera_knn.py.

6 - Use q to quit the stream anytime.

realtime_facialrecognition's Issues

Help with the code

Hi there,
I want to create a "party greeter", similar to this one: https://robotzero.one/face-recognition-party-greeter-raspberry-pi/, but using my IP Camera and Ubuntu OS. The intend is to make a web request when a face is recognized. The web request will make echo dot say something using IFTTT.

I commented the line "cv2.imshow('camera', frame)", because I don't need to see the streaming video, and inserted a print function that shows the name of the found person:

for name, (top, right, bottom, left) in predictions:
print("- Found {}".format(name))

The problem is that when a face is detected it keeps printing the message in the console. Few seconds of a face showing results in dozens of lines in the console with the same message.

I need somehow to limit this and make it shows the message only once. The http request also should be send only once.

Can I get some help with this? Thanks in advance.