Shlok-crypto/University-Facial-Multifactor-Authentication-System

I have created a GUI Based Contactless University Access Control, Facial Authentication System. By utilizing OpenCV, Haar Cascade, and Python.

Access_Granter

I have created a GUI Bassed Contactless Access Control, Facial Authentication System.

Input required:

• Indivuatials RFID tag (infromation)
  • Name
  • Identifation Number
  • Unique Id Number
  • Other information
• Live Video
  • Face Recognition
  • Face Authentication

Output:

• Confidence Level
  • Access Granted/Denied

How the Software Works :)

• Information Gathering =>

  The software analyzes Live Video in Real Time!! The Person of Intrest(POI), Name, and Identification Number are harvested from the RFID Tag information.

  live video captures the image of the POI. Utilizing HaarCascades(Facial Detection), The software detects faces in the image.

  The faces are extracted as ROI(Region of interest). The ROI is processed via Local Binary Pattern Histogram(LBPH). Then the ROI(LBPH) is passed onto the Authentication Algrothiom.

• Authentifation Process=>

  The Authentication system analysis the input ROI(LBPH) against a set of prerecorded LBPH data of the POI. The Software outputs a confidence level. The Threshold value of the confidence level determines Access Granted or Access Denied

Gui Based Admin Control

The software is GUI-based, allowing a user-friendly experience.

• Admin Controll
  • Add New User Data
  • Delete User Data
  • Train New Data