Note: This project is current being developed.

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.

Download the latest release from the right side bar.

Please note that the current release works on windows only, download Visual C++ Redistributable for Visual Studio 2019 for FRDMS to work properly.

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.

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.

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

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

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.

Identify known faces in the database from a live video

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

Special thanks to Kabiirk for making the project logo.