Face Detection

Challenge

The team was looking for making their sign up solutions more authenticated. They needed the profile picture of their users to have a human face in it rather than having an object. This solution needs to be a robust and a reusable solution for facial detections but also localization of a face in a given image.

Solution

Using a modular approach an API was developed which could be implemented out of the box. Powering the API was a machine learning model trained to detect the faces in an image and also localise it. Its solution goes deeper and identifies a number of faces and also localises each of the faces landmarks eyes nose ears and mouth separately.

Technologies Used

Face Detection Uses

SIGN UP SOLUTION

Checking if the user has uploaded a face or an object..

POPULATION COUNTERS

Count the number of distinct faces in a given frame.

AUTOMATED DOORS

Automatic door switches when a human comes near.

MOTION DETECTION

Detecting the movement of the landmarks as they move

SURVEILLANCE

Detecting if a human has appeared in an under surveillance area

AUTHENTICATION PROCESSES

Any authentication process requiring a human face to be assured.