Skip to content

Machine learning-based project which detects faces displays their information present in the database and saves logs.

Notifications You must be signed in to change notification settings

GaayanVerma/Security-Surveillance-System-to-Detect-Human-Intrusion-CascadeClassifier-LBPHFaceRecognizer-

Repository files navigation

Security-Surveillance-System-to-Detect-Human-Intrusion-CascadeClassifier-LBPHFaceRecognizer

packages needed

  1. opencv
  2. numpy
  3. pillow

There are three steps for face recognition:

  1. Collecting face data (your face pictures) and labels and save to dataset folder. (code 1)
  2. Input face data and labels into model to train a recognition model. (code 2)
  3. Open up your webcam to start real time face recognition. (code 3)

About

Machine learning-based project which detects faces displays their information present in the database and saves logs.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published