Facial recognition is a method of recognising or verifying a person’s identification using their face. People may be recognised using real-time facial recognition technology or still images and videos.
A subcategory of biometric security is facial recognition. Voice, fingerprint, and eye retina or iris identification are different biometric software types. Although there is growing interest in using the technology in other sectors, security and law enforcement still account for the majority of its uses.
What is the process of face recognition?
FaceID, which is used to unlock iPhones, has made facial recognition technology well known (however, this is only one application of face recognition). Facial recognition often identifies and recognises one person as the single owner of the device, restricting access to others rather than relying on an extensive database of images to identify an individual.
Facial recognition technology matches the faces of persons passing by unique cameras to pictures of people on a watch list, going beyond simply unlocking phones. The photographs on the watch lists can originate from anywhere, including our social media accounts, and they can show anyone, including those not suspected of any crime. Although facial technology systems can differ, they typically function as follows:
First step: Face recognition
The camera can identify and locate whether a face is alone or among a group of people. The subject may be shown facing directly ahead or in profile.
Step 2: Examine your face
The face is then photographed and examined after that. Most face recognition technology uses 2D rather than 3D photographs since it is easier to match a 2D image with existing data or public photos. The computer reads your face’s geometry. The distance between your eyes, the depth of your eye sockets, the space between your forehead and chin, the form of your cheekbones, and the shape of your lips, ears, and chin are all critical considerations. The objective is to recognise the distinctive facial features that make your face unique.
Third step: transforming the picture into data
Based on the subject’s facial traits, the face capture procedure converts analogue information (a face) into a collection of digital information (data). The examination of your face is basically reduced to a mathematical formula. The faceprint is a numerical code. Every person has their own faceprint, just like every thumbprint is different.
Finding a match in step 4
Then, a database of other recognised faces is used to compare your faceprint. The FBI, for instance, has access to up to 650 million images pulled from various state databases. Any image tagged with a name on Facebook is added to Facebook’s database, which is also capable of face recognition. A decision is made if your faceprint matches a picture in a facial recognition database.
The most natural biometric measurement is regarded to be face recognition. This makes intuitive sense, given that we usually recognise ourselves and other people by looking at their faces rather than their thumbprints or irises. According to estimates, facial recognition technology frequently interacts with more than half of the world’s population.
How to utilise facial recognition
Face recognition is a feature that many phones, including the most current iPhones, employ to unlock the phone. The technology provides a powerful method to secure personal information and guarantees that important information stays inaccessible if the phone is stolen. According to Apple, the likelihood of a random face unlocking your phone is one in one million.
Law enforcement frequently makes use of facial recognition. According to a recent NBC report, the use of technology by law enforcement agencies in the US and other nations is growing. Police gather mug shots from suspects after an arrest and cross-reference them with national, state, and local face recognition databases. Once an arrestee’s photograph has been taken, it will be stored in databases and examined each time police conduct another criminal investigation.
Additionally, mobile face recognition enables law enforcement officials to photograph a motorist or a pedestrian on the street using smartphones, tablets, or other portable devices, then instantly compare that image to one or more face recognition databases to make an identification attempt.
airports, border security
Facial recognition technology is now commonplace in many airports all over the world. Many travellers have biometric passports, which enable them to bypass the typically lengthy lines and proceed directly to the gate by passing through an automated ePassport control. Airports can increase security and reduce waiting times by using facial recognition technology. By 2023, 97% of travellers will be subject to facial recognition, according to the US Department of Homeland Security. The technology is used to improve security at major events like the Olympics, airports, and border crossings.