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Facial Recognition Database Management System

Facial Recognition Database Management System (FRDMS) is a facial recognition system made for everyone.
Updated 1 month ago

Facial Recognition Database Management System

Windows macOS pre-commit

python js ts flask react sqlite

Note: This project is current being developed.

Introduction

Facial Recognition Database Management System (FRDMS) is a facial recognition system made for everyone.

Powered by python and react, and packaged into a single executable that can be used by anyone with zero dependencies required.

Demo

Usage

Download the latest release from the right side bar.

Windows

MacOS

  • Download FRDMS_MACOS

  • Open terminal

  • Browse to Download directory

    cd Download
  • Change permission

    chmod 777 ./FRDMS_MACOS
  • Start the application

    ./FRDMS_MACOS

Starter Database

Download FRDMS.db and place it in the same directory as FRDMS.exe to use a sample starter database. Or start FRDMS.exe directly to create a blank database.

Pages

Facial Recognition

Facial Recognition

Images

Images

Profiles

Profiles

Upload Image

Upload Images

Features

Facial Recognition (In-progress)

Find a face match by supplying an input image, and the system will search the database to locate possible matches

  1. face identification (Done)

    Classifies a face to a specific identity selected from existing profile in the database

  2. face verification (In-progress)

    Determine whether a pair of faces belongs to the same identity so un-identified faces can be grouped together

  3. Batch processing (In-progress)

    To perform the 2 task above in batch.

Web Crawling (To-do)

Launch web crawling workers to craw through social platforms for images and profiles

Personnel Classification (To-do)

Face profiles can be classified into multiple groups using supervised or unsupervised machine learning models

Automatic Profile Creation (To-do)

Supply large amount of unlabelled images into the system to be classified by person. New unnamed profile can be created automatically when input photo fail to match any existing profiles Data crawled from social medias will be used to populate newly created profile as much as possible.

Live Video Recognition (To-do)

Identify known faces in the database from a live video

Contributing

For guidance on setting up a development environment and how to make a contribution to FRDMS, see the contributing guidelines.

Special Thanks

Special thanks to Kabiirk for making the project logo.