https://github.com/pvscreations/ams_backend_django

Attendance Management using Face Recognition backend
https://github.com/pvscreations/ams_backend_django

computer-vision django ec2 face-recognition mysql openssl serverless-computing

Last synced: about 11 hours ago
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Attendance Management using Face Recognition backend

• Host: GitHub
• URL: https://github.com/pvscreations/ams_backend_django
• Owner: pvscreations
• Created: 2023-07-08T05:05:45.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-04-07T13:53:05.000Z (7 months ago)
• Last Synced: 2024-04-07T14:41:55.927Z (7 months ago)
• Topics: computer-vision, django, ec2, face-recognition, mysql, openssl, serverless-computing
• Language: JavaScript
• Homepage:
• Size: 52.8 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
Attendance Management using Face Recognition

  Attendance system using face

recognition is a procedure of recognizing students by using

face biostatistics based on the high definition monitoring

and other computer technologies. The development of this

system is aimed to accomplish digitization of the traditional

system of taking attendance by calling names and

maintaining pen-paper records. 

Our approach is using the world’s simplest face recognition library built using dlib’s state-of-the-art face recognition built with deep learning. This face_recognition model has high accuracy ensuring low false-positive detection , efficiency and robust in nature. After face recognition attendance reports will be generated and stored in excel format. 



Description

 This system used pretrained fine turing model face_recognition and recognized faces by comparing face encodings 


  
 This is how directory structure looks like

  ├───ams

│   ├───migrations

│   │   └───__pycache__

│   ├───templates

│   │   └───static

│   │       ├───css

│   │       ├───js

│   │       └───media

│   └───__pycache__

├───models

├───pictures

│   ├───N18

│   │   └───cse

│   │       ├───cse1

│   │       └───cse2

│   │           └───Sample

│   ├───N19

│   │   └───cse

│   │       └───cse1

│   └───N20

│       └───cse

│           ├───cse1

│           │   ├───N181022

│           │   ├───N200037

│           │   ├───N200377

│           │   ├───N200381│           │   

│           │   ├───N201064

│           │   └───N201070

│           └───cse2

│               ├───N170976

│               ├───N180789

│               ├───N180825

│               └───N181022

├───project2

│   └───__pycache__

└───static

    ├───admin

    │   ├───css

    │   │   └───vendor

    │   │       └───select2

    │   ├───img

    │   │   └───gis

    │   └───js

    │       ├───admin

    │       └───vendor

    │           ├───jquery

    │           ├───select2

    │           │   └───i18n

    │           └───xregexp

    ├───css

    ├───js

    └───media


Seeting up application



  
start the mysql server first

  
specify the mysql port and credentials of mysql in project2>settings.py files as shown in the below figure

    





  
Now got to the build directory and open command prompt and then enter 


    python manage.py runsslserver --cert cert.pem --key key.pem localhost:3000

    

  

  
open the address in the browser and browse for localhost:3000

  

  


References

Know More About The AMS 



Documentation (Technical Details)

Video (Promo)

Frontend React Source Code