It's the year 2020, and we are surrounded by technology which seemed like science fiction just a decade or two ago. Passwords and patterns are slowly becoming obsolete, as we move into an era of biometrics - a system which identifies unique and quantifiable human characteristics. Fingerprints, retina, iris and an individual's face are generally used as physiological biometric identifiers. And, facial recognition is gaining popularity as an instead natural way of identification because people relate to being recognised by their faces. It has led to new innovations not only in the field of recognition and access control but entertainment and online shopping as well. And the technology is also being widely adopted by agencies involved in security, surveillance and tracking.
The following data strongly support this fact:
- According to Markets and Markets, the revenue generated by the facial recognition market could be $7 Billion by 2024 in the US alone. (Markets and Markets)
- An evaluation by the US National Institute of Standards and Technology(NIST) shows that facial recognition tools became twenty times more efficient between 2014 and 2018. (NIST)
- More than one billion smartphones are expected to feature face unlock in 2020 according to a projection by Counterpoint Research. (Counterpoint Research)
- A March 2017 US mandate stipulates that by 2021 top twenty US airports will employ facial recognition for 100% of all international passengers. (Buzzfeed)
- In 2018, Delhi Police identified 2930 missing children in four days by using facial recognition system. (Times Of India)
The facial recognition system uses more than eighty distinct markers to recognise a face. It evaluates the facial structure like the distance between the eyes, shape of the jawline, size of the nose, relative position of the mouth and many more. It analyses these characteristics on a micro-scale and converts them into a unique signature. This signature is then compared with an existing database of signatures to determine a match. To this end, algorithms like Principle Component Analysis(PCA), Linear Discriminant Analysis(LDA), K-Nearest Neighbours(KNN) etc. are used aided by technologies like Neural Networks and Artificial Intelligence for efficiency.
The overall process though works in three stages after the camera captures an image:
- Face detection to locate a human face among the surroundings in a still image or a video. (Identification)
- Face capture to transform the facial characteristics into digital data. (Mapping)
- Face match to verify whether the facial features match the ones in an existing database. (Authentication)
With a boom in the smart-device market, facial recognition generates a lot of interest from users and bespoke app development companies alike. And with the technology becoming affordable, numerous apps are incorporating it.
We present a list of our picks for the top face recognition apps in 2020:
Luxand is a privately-owned technology company with a particular interest in artificial intelligence and biometrics. The company provides a broad range of recognition solutions for clients like Universal Pictures, Samsung, Proctor and Gamblin, Ford, Boeing, Badoo and more. They also work for government agencies like the US Department of Defense, the Singapore Home Affairs Ministry and the Korean Forensic Service. Their work features technologies that not only recognise faces but also build realistic three-dimensional models of them.
Some of their apps are as under:
a. Face Recognition API: The app detects a face and lets you add a name to it. The app will memorise the face and recognise it by that name whenever it appears in the future.
b. Avatar API: It transforms the detected face into a 3D avatar capable of expressions like smiling, crying and laughing.
c. Face Enhancement API: Touches up your photos by reducing imperfections and improving skin tone.
d. Face Aging API: Predicts how their face might look when a user ages.
e. E-Cards API: Creates 3D e-cards with animated faces from the pictures of visitors.
f. Baby Prediction API: Predicts how the potential child might look using pictures of the parents.
g. Zombie API: Let's the users see how they might look if they turn into zombies.
● Applock Face/Voice Recognition
Sensor- an android app development company brings you an API that uses the biometrics of your face and voice together to secure your apps. The incorporation of the two together adds an extra level of security to ensure only you have the required access. It also uses deep learning algorithms to improve efficiency over time. You can secure apps, gallery, personal information and even phone settings.
How it works:
a) You are presented with a pass-phrase, which can be pre-selected or custom.
b) You look at the phone and speak the pass-phrase.
c) Select the apps you want to lock/unlock.
d) Select the security level for each app.
Railer- an android and iPhone app development company brings you a Mobile Attendance Management System using facial recognition. Many institutions like offices, colleges and schools, use this system as it saves time, expenditure, personnel and prevents the risk of buddy-punching, i.e. Marking fake attendance for a friend.
It offers features like:
a. Time attendance for the HR team so they can track the in-time, the out-time and the hours clocked as well.
b. It has an in-built leave management system for sick, annual, emergency leaves, and a display of public holidays.
c. It provides reporting and analytics.
d. Supports push notifications to stay updated.
FaceApp- a mobile app development company, has created this state of the art photo editor API powered by artificial intelligence that claims to give you magazine-cover quality photos. This app
has over 80 million active users, a current offering of 21 filters for the free version and 28 filters for the paid version.
Among the available filters are:
a. Smile Filter- to edit how wide your smile looks in the picture. It also allows you to add or remove teeth from the smile.
b. Hair Filter- to change the hairstyle and the colour of your hair.
c. Age Filter- to see how an older or a younger version of a person might look.
d. Skin Tone Filter- used to lighten a person's skin tone in the picture.
e. Genderswap Filter- to see what you would look like as the opposite gender.
● Face DNA Test
This app by DNA Diagnostic Center is not free, yet it is exciting. It claims to establish paternity and ancestry through the use of Electronic DNA Facial Point Connectivity (EDFPC) algorithms. It is one of the most advanced apps online as it tries to determine genetic traits inherited from an alleged family member based on facial recognition.
a. Compare the facial profiles of siblings.
b. Validate interrelation.
c. Check ancestry.
Facial recognition is rapidly improving in efficiency and accuracy as a technology. It is bound to find more applications in the future. In the meantime, this list of apps will surely impress you.