AI Facial Recognition web system

02 Mar,2019
User Guide Document


Facial recognition and facial detection web system in Python and Django.

Ready-to-use code with User Interface for facial recognition and facial detection. Upload images and let the AI find matches for people.

Upload individual or multiple images at the time.

While facial recognition gives an identification or a match between a set of images, facial detection allows identifying if there is a human face (or more) within a picture.

With the following project you will be able to:

  • Use it as it is for web facial recognition and facial detection

  • Upload single images or multiple images to build a known faces library

  • Find a match by facial recognition for a single image or multiple files

  • Submit an image for facial detection

  • Browse the results as Web client

  • Access to the database and source code

  • Use the recognition class for other projects

Includes pre-trained data (pre-trained data from public libraries*, you can also use your own training dataset or another public one)

External Sources

The model was trained using the following dataset: (please check their website for changes in License for the landmarks; additionally, you can use a Tensorflow MIT dataset for training).

For this system, we will use the face_detector to find the faces.  Alternatively, you can use your own datasets and replace those files.

How to Use:

First, copy the two .dat files from the "Part2" zip folder inside the Part1 zip folder (where the file is).

Install Python3 and Django in your server/localhost

Copy the folder in your decided location (or server’s html folder).

In the terminal cd inside the folder with the file.

Type the followings:

> python3 makemigrations

> python3 migrate

> python3 runserver


  • The detections correspond to statistical probabilities, hence the accuracy is not 100% guaranteed.
  • The image quality and complexity interferes with the accuracy of the prediction. 

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Start to Communicate (If you want to start communication with the seller about this item, you can start here)
luckykhemani3471 06 Jun, 2020

do we have demo url?\n

VINEETSHARMA0346 09 May, 2020

hi nwe are intreseted in your AI system

LabAI Seller 21 May, 2020

Hi Thank you for your interest in my product If you have any questions please feel free to ask me here or send me a direct message on my profile

ramesh 23 Apr, 2020

pl send the trial to have experience to negotiate and buy the same n

ramesh 23 Apr, 2020

Hi n

SaumilShah1145 01 Apr, 2020

I am ready to buy at 350 USD How do I go ahead

SaumilShah1145 29 Mar, 2020

Who are you Wahab Shah Why you replied to my comment to the seller

LabAI Seller 01 Apr, 2020

Hello, I am the seller. How may I help you?

Wahab Shah 29 Mar, 2020

Hi sir

SaumilShah1145 25 Feb, 2020

What is the best price you can offer this My budget is not more than 400 USD n

Wahab Shah 29 Mar, 2020

350 usd will be good

radarbruce 13 Sep, 2019

Hi. Does what kind of database does it use? I want to implement something similar but I don‘ t have much knowledge in python...

LabAI Seller 13 Sep, 2019

Right now it includes the structure in SQL Lite, but you can change to another database engine with the connection string. The product is a "ready to go" kind of product, so what you can do is to use it as a standalone and then process the results in the database, all the recognition and information is stored in the database so the integration is easier. You can also modify everything and just use the recognition part as a webservice in python. Please let me know if you have any further questions.

| Sep 2, 2019

Amazing project, well worth the money. Incredibly useful. Off the shelf AI.

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