With the advent of biometrics, the digital world witnessed some ground-breaking innovations in the form of AI-based face recognition apps. The global facial recognition market size is valued at $3.2 billion in 2019 and is expected to grow at a CAGR of 16.6% in 2024.
The concept of mobile face recognition seemed more like science fiction about some three decades ago. But, now, the facial recognition app helps control false arrests, diagnose patients with genetic conditions, and lower the cybercrime rate as well as malware attacks. Such a wide landscape also leads to engaging and entertaining people with successful developments like Face app and its alternatives.
Looking at this growing trend of face recognition software, we at Space-O Technologies Canada had a discussion with our Artificial Intelligence and Machine Learning app consultants about the types of biometrics technology and the best recognition apps 2022. So, if you are planning to develop a face recognition app for your business or security purpose, you need to know your niche and the competitors. Have a good read of this blog and you will get more market insights.
Contents
Introduction
We have come a long way in AI-based deep learning technology. From unlocking a device to identifying criminals. Somehow this biometrics technology has become an interesting topic, both in research and in industry.
Facial recognition comes under biometric authentication when used under security purpose. Biometric data (BioID connect) is unique for each individual and therefore used to identify each of them. Compared to traditional card recognition, fingertip, or iris recognition, face recognition has more advantages. The facial recognition system has advantages like high concurrency, non-contact limits, user friendly. From security purposes to education every field is adapting the face application biometric technology.
The social media apps like Snapchat, Instagram, Prisma, MSQRD, have helped in bringing advancement in this field other than the security angle. Celebrities like Kylie Jenner, Jennifer Lopez, Justin Bieber, Chris Hemsworth enjoy the old age filter of face app, and posting the same picture all over the internet made the face app popular all of a sudden in a night.
Thus, there are many other facial recognition software with different facial features, as a result, that has made the bioid connect possible. Now, without any further due, let’s get on to the list of face tracking apps and know more about their features, pros-cons, and more.
Here is a list of the best face recognition applications which are all used in different fields. Let’s take a look. You might even have a Newton moment while reading about these face-scanning apps and get inspired to develop an app yourself.
App Name | Ratings | Total Downloads | Available for Platform | Price | Download |
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Luxand | Google Play: 3.6 Apple app store: 3.7 | 10,000+ | iOS, Android | Free | ![]() ![]() |
Face App | Google Play: 4.7 Apple app store: 4.7 | 100,000,000+ | iOS, Android | In-app purchases vary from $4.99 to $39.99 | ![]() ![]() |
AppLock | Google Play: 3.9 | 1,000,000+ | Android | Free | ![]() |
Face DNA Test | Google Play: 4.0 | 100,000+ | Android | Value package $6.95, basic package is $11.40, PRO package $63 | ![]() |
Railer | Google Play: 3.7 | 1,000+ | iOS, Android | Free | ![]() ![]() |
Blippar | Google Play: 3.4 Apple app store: 2.2 | 1,000,000+ | iOS, Android | Free | ![]() ![]() |
Face2Gene | Google Play: 2.5 Apple app store: 2.5 | 50,000+ | iOS, Android | Free | ![]() ![]() |
Face First | Google Play: 3.6 Apple app store: 5.0 | 1,000+ | iOS, Android | Free | ![]() ![]() |
MojiPop | Google Play: 4.2 Apple app store: 4.6 | 1,000,000+ | iOS, Android | In-app purchases vary from $0.99 to $1.99 | ![]() ![]() |
BioID | Google Play: 2.4 Apple app store: 1.9 | 10,000+ | iOS, Android | Free | ![]() ![]() |
Luxand face recognition is not just one app. It is actually a whole hi-tech company that was formed in 2005 with a bunch of different services and apps under its name. It consists of Face SDK ideal for surveillance, biometric identification, and other purposes used by big organizations and brands around the world.
Luxand face recognition customers include big brands like Universal Pictures, Samsung, LG, Philips, Unilever, P&G, Ford, Badoo. Not only these, the United States Department of Defence Cyber Crime Center, Singapore Ministry of Home Affairs, Korea National Forensic Service are also their customers.
Source:Luxand
Key Features:-
Luxand face recognition APIs are as under
Let’s look at the pros & cons before moving on to other recognition apps.
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It is a face detection app launched in 2017 for iOS phones only. Later as the popularity increased, this facial recognition app was launched for Android as well.
This is the most famous celebrity face recognition app among the others in this genre. The FaceApp started the trend of people posting photos of their old selves. Almost everyone did this on social platforms, even celebrities. It is known as the “best face recognition app actors” as actors from Justin Bieber to Jennifer Lopez everyone engages in the app.
Source: Face
Key Features:-
Like a face compare app that compares two faces, you can also create a ‘before and after’ image of your current and future self. These are the filters available in FaceApp.
Let’s have a look at its pros & cons before moving towards other recognition apps.
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Planning to build a security face recognition app?
Thinking of something else? We are here to help.
AppLock, being among the best face recognition apps, is one of the free face tracking software that ensures that only a user can access their personal information, social media apps, and financial accounts.
It is not only for mobile face recognition but also for voice recognition for security purposes. As the name suggests, the face and voice work as passwords and are the biometric keys that can unlock your apps.
How facial recognition works?
Source: AppLock
Key Features:-
Let’s have a look at its pros and cons of this free face recognition app before moving towards the other face recognition apps.
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This is an ancestry facial recognition app. Among the mobile applications, it is one of the most advanced face apps online, as it takes the facial profile of one person and calculates the unique facial points in a row. The facial recognition app then compares them to another person to see if those two people could probably be related.
Source: Face DNA Test
Key Features:-
Let’s have a look at its pros & cons before moving on to the other recognition apps.
Pros | Cons |
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There are a lot of offices, colleges, schools, and other institutes that use facial recognition to manage attendance. The main benefit of such protocols is that no one can mark fake attendance or try to do “buddy-punching” for their friends.
Railer app is a face recognition attendance app and a mobile attendance system. It is one of the best face recognition apps used to track employee attendance.
The most unique facial features of this app are that it takes care of a lot of aspects and needs minimal manual work by integrating the deep learning BioID connect technology. The HR department can actually use it to track employee leaves and workdays.
Source: Railer
Key Features:-
Let’s have a look at its pros and cons before moving towards the other face recognition apps.
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The latest addition to our list is the Blippar app. Blippar is an amazing app that helps users learn from their surroundings. Through this face scanner app, the users can just scan whatever they want to learn more about and the app will tell everything it can.
It is mainly an object recognition application. It helps users unlock augmented reality experiences from everyday objects and places. If they scan a dog, it will give information like which breed it is, if they scan a logo, it will tell them the brand and so on. It is also recognized as a face finder app as it detects human faces and becomes a worthy entry on our list.
Source: Blippar
Key Features:-
Let’s have a look at its pros & cons.
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Want to develop an interesting AI-based recognition app with unique features & functionalities?
This public figure facial recognition is designed specifically for healthcare professionals and thus it is not for public use. It is not viable to use this app without any medical training. It evaluates enhanced patient evaluation with next-generation phenotyping. The face recognition app development increases the confidence of clinicians and bioinformatics by prioritizing genetic disorders and variants in the clinic and in the lab. It is one of the best evolutions in the healthcare app genre.
Source: Face2Gene
Key Features:-
Let’s have a look at this face analysis app pros and cons.
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Among the other face recognition apps, this facial recognition allows users to identify people from a distance. It is an ideal online face app for law enforcement, military, retailers, transportation centers. When a user uploads a photo on the app, that particular person is identified with a massive database of known persons to know his individuality and avoids identity theft.
The app has functionalities like real-time alerts, accurate details, emails, and text alerts to the users. Organizations can keep an eye on their employees without any internet connection with safety. It also protects all data uploaded on the app from third-party access. The app does not work without valid credentials and properly-licensed servers.
Source: FaceFirst
Key Features:-
Let’s have a look at its pros and cons.
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Is there a facial recognition app that works as an expression reader? Yes, MojiPop app. Eureka Studios in the UK has developed a customized avatars app in the form of MojiPop. It is a free facial descriptor recognition software that has a wide range of fun animated stickers. These portray different moods and feelings of the users through an interactive keyboard. It claims to release new emojis every day.
Source: MojiPop
Key Features:-
Let’s have a look at its pros and cons before moving to the other face recognition apps.
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It is one of a multi-factor user authentication systems, face recognition app. The app uses biometrics to verify identities and enables individuals to log into various supported websites and apps with face identification.
BioID claims to identify hackers using their patented Fake Defender feature. Hence, a user has to click his photo every time he enrolls in the app for verification. The application also has liveness detection that protects photos attacks, the malware bug, and a challenge-response to block video replay attacks.
Source: BioID
Key Features:-
Let’s have a look at its pros and cons
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Now, let’s have a look at the biometrics market and types of biometrics which will help you in developing your own facial recognition app with its own niche.
Source: Statista
Source: Statista
After knowing the scope of your application development, you might want to have an insight into the niche of biometrics and figure out your own face recognition app ideas. As a leading mobile app development services providing company, with the help of one of our machine learning developers, we have curated a list of types of biometrics.
Do you want to build a recognition software for your business?
There are two kinds of biometrics, they fall into two categories: physical identifiers and behavioral identifiers. Let’s check out physical identifiers.
Physical Identifiers
1. Fingerprints:
Fingerprints have their widespread deployment on smartphones. Any device can be touched, such as a computer mouse, smartphone screen (screenshot description), door panel, has the potential to become an easy and convenient fingerprint scanner.
2. Photo and video: If the mobile phone is well equipped with a camera, it can easily be used for authentication. The common approaches to this are facial recognition and retinal exams.
3. Voice: Speech/ voice recognition is one of the popular authentication systems that already use digital assistants and phone-based service portals to identify users.
4. DNA: It is the only biometrics that can trace familial ties. This identification biometric is accurate when dealing with missing persons, disaster victim identification, and potential human trafficking. It gives confirmed victims from the smallest skin particles of the body. Law enforcement officers primarily use this to identify suspects.
5. Signature recognition: This recognition software and hardware is in general use at retail outlets and banks. It is a good option for situations where users already expect to sign their names.
6. Physiological recognition: The human faces are authentically recognized by facial recognition. Apart from that, there are other image-based recognitions like hand geometry, retina or iris reading, palm vein recognition, and ear shape recognition.
Behavioral Identifiers
1. Typing patterns: It identifies a person by its typing speed, time taken to go from one letter to another, the degree of impact on the keyboard. Recognizes a person from its typing style.
2. Navigation standards: These are easy to detect with software, onespan, role, mouse movements, finger movements on the touch screen are unique individuals, thus, they are accurate and effective.
3. Physical movement: Walking is considered one of the authentic physical recognizers. It is used to identify employees in a building or as a secondary authentication identifier.
4. Patterns engagement: We all have different patterns when it comes to opening an app, the locations and times of the day, the way we browse websites, how we hold phones, how we check our social network accounts, all are behavioral characteristics. These are used to distinguish people from bots. It can also be used as an independent security measure if it is made tech-savvy in the coming years.
After going through these facial recognition apps, and analyzing the types. If you are wondering about which niche will be particularly using or gets benefit from the custom AI software development? Not to worry, we have done some scratch work for you.
Planning to build a biometric technology software for your business?
Now, if you have made your mind to build an app for face recognition, then before you start brainstorming about the features, have a look at some of these features which our AI software developers developed for our mobile app.
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Google offers the best reverse images search by matching similar images. A user has to upload pictures in the search box or can click a photo by clicking on the camera icon and finally tap on the search button.
There are two ways to find out the person.
Want to build an app with a face recognition feature or technology?
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