https://github.com/eeshaarif/idoctify

A web application built on Django to better manage records of patients by implementing Facial Recognition (-OpenCV-)
https://github.com/eeshaarif/idoctify

django face-recoginition machine-learning numpy opencv opencv2 web-application

Last synced: about 1 month ago
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A web application built on Django to better manage records of patients by implementing Facial Recognition (-OpenCV-)

• Host: GitHub
• URL: https://github.com/eeshaarif/idoctify
• Owner: EeshaArif
• Created: 2019-12-20T15:49:22.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-04-13T21:34:28.000Z (about 6 years ago)
• Last Synced: 2025-08-02T05:06:13.156Z (10 months ago)
• Topics: django, face-recoginition, machine-learning, numpy, opencv, opencv2, web-application
• Language: HTML
• Homepage:
• Size: 31.7 MB
• Stars: 2
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# iDOCtify

_iDOCtify is an extended feature of [Patientio](https://github.com/EeshaArif/Patientio)._

#### Introduction:

iDOCtify efficiently displays records of patients by finding them through face recognition.

This web Application integrates [OpenCV](https://opencv.org/) in Django. The face recognition code can be found in [views.py](myapp/views.py).

#### Execution:

Run the following command in the root folder.

`$python manage.py runserver`

#### Admin Credentials:

- __Username:__ eesha

- __Password:__ django123

#### Face Recognition:

Follow the following steps:

1. Add the patient. 

![main-page](https://github.com/EeshaArif/iDOCtify/blob/master/Screenshot%20(268).png)

2. Upload a reference image for the application to identify the person. 

![Reference image upload](https://github.com/EeshaArif/iDOCtify/blob/master/Screenshot%20(269).png)

###### You must be logged in as an admin to perform the above step. 

3. Go back to the main page and start detection:

![detecting image](https://github.com/EeshaArif/iDOCtify/blob/master/Screenshot%20(270).png)

###### Press **"q"** on the keyboard while the frame is being shown.

4. The application displays the saved record.

![Records-displayed](https://github.com/EeshaArif/iDOCtify/blob/master/Screenshot%20(271).png)