Facial Recognition System

We aim to replicate the facial recognition system used at Singapore Changi Airport. The facial detection also comes with identifying emotions, predicted age, and other facial attributes.

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Inspiration

As a frequent traveler through Singapore Changi Airport, we come to appreciate the streamlined and efficient process at the passport control. You will provide your passport to be scanned, and then there's a facial recognition system to re-confirm that you are indeed the person indicated on the passport.

What it does

Identify a person from our database using the camera's images.

How I built it

Flask, HTML, and Microsoft Azure API. We are inspired by the application that was made in Machine Learning workshops hosted by Hack&Roll 2020 and decide to extend from that application using Microsoft Azure API with some implementations on Python platform.

Accomplishments that I'm proud of

Successfully implemented the facial recognition features for small databases (<100 entries).

What I learned

Flask framework, Azure API.

What's next for Facial Recognition System

1) Improve the frontend of the application. 2) Make a database to store the image entries. Currently, we use Python's pickle library. 3) Optimize the algorithm to find the correct person in the database.

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