Understanding Facial Recognition

DataLabeler_Understanding_Facial_Recognition

The basic concept behind Facial Recognition involves identifying a human face using technology. It can be defined as a software application that recognizes a person by comparing or discovering patterns from his/her unique facial contours. Since every individual has a unique facial structure, this technology can analyze the features, match them with the information in a database and identify the person.

How Facial Recognition Works?

An algorithm is fed with a large number of photos with faces in known positions and is trained using deep neural networks.

Detection

The camera will first spot and recognize a face from photos or videos, either alone or in a crowd. The algorithm can best spot a face when the person is looking straight.

Analysis

The algorithm reads the geometry of your face by identifying 80 nodal points of the human face. These points help the algorithms to pick up specific and unique details about a person’s face such as depth of the eye sockets, length & width of the nose, shape of the cheekbones & chin, distance between the eyes and other details.

Data Conversion

The person’s faceprint which is a mathematical formula is determined from the analysis. Similar to how every person has a unique fingerprint, each person has their unique faceprint.

Matching

The algorithm compares the person’s faceprint with the ones in the face recognition database and looks for matches with a preset threshold which are then ranked and displayed.

Applications of Facial Recognition Technology

Facial Recognition technology isn’t a new concept but has already been implemented in a variety of ways. Tech firms around the world have implemented this technology and even been used by law enforcement agencies to identify perpetrators of crime. If you have been tagging people on Facebook photos, then you are already using the Facial Recognition technology. Apple, Microsoft, and Google have integrated this technology into their apps for compiling albums of people who hang out together.

Let’s take a look at some of the existing applications of this technology;

Securing the Premises with Facial Recognition

The chief application of this technology in the security sector is to identify unauthorized access to restricted areas by non-authorized personnel. Facial Recognition software is integrated into IP cameras which are then used to provide access to restricted areas. These cameras are fed with whitelists and blacklists for certain locations and equipped with asset and perimeter monitoring capabilities for identifying threats and detecting any intrusion.

Smarter Border Control at Immigration Checkpoints

Facial Recognition has been implemented in a variety of ways to protect and keep our borders secure. Keeping criminals and persons of interest at bay has been the chief application of Facial Recognition. INTERPOL has its own Face Recognition System which has a database of facial images received from 160 countries making it one of the unique global criminal databases. Border controls have been synced with this database to identify criminals with accuracy.

Fleet Management

Facial Recognition has been used to help fleet managers monitor their drivers remotely. A camera is installed inside the vehicles which are used to identify the driver and assign them work for their shift hours. When unauthorized persons try to access vehicles, alerts can be sent to the managers thereby helping to prevent theft.

About Data Labeler

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Understanding Facial Recognition

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