Best Facial Recognition Apps currently available on iOS and Android
Artificial Intelligence (AI) and facial recognition technology enabled apps are gaining momentum in the mobile app development industry. Smartphone developers are manufacturing devices with in-built facial recognition capabilities for improving the security of mobile applications and user’s data. The best face recognition apps help users to unlock their mobile devices and offer high-level convenience.
Besides, the use of intelligent and advanced facial recognition potentialities is also increasing in the design and development of entertainment or photo editing apps. Whatever the purpose, face recognition apps for both iOS and Android are widely adopted by businesses and individuals.
Mobile App Developers are making miracles using the next-generation Artificial Intelligence, Machine Learning, and Facial Recognition-like technologies. FaceApp like the best facial recognition apps are the best examples to describe the power of technology. The recent trend of Reface App, FaceApp, and AppLock-like face recognition apps went viral on social media and took people by storm.
Besides editing, facial recognition apps are also offering a few crunchy features like predicting the facial features based on age. It means face apps, using pattern recognition technologies can seamlessly predict how users would look in your old age. It is one of the primary features that is attracting more people to use FaceApps like top facial recognition applications.
In this article, we have given the list of best facial recognition apps for Android and iOS. But, before jumping to our main concept, let’s take a look at the definition of face recognition software.
What exactly is a Face Recognition App?
Facial recognition software uses pattern recognition algorithms to quickly and accurately identify the faces of humans. These apps identify a person’s face, measure facial features, and store, and match when they need to verify the identity of a person.
Biometric applications or systems are the best examples of facial recognition applications. These systems verify faces and trigger mismatches, hence high-level security is ensured.
Nowadays, for storing the employees’ accesses, many corporate offices are adopting face recognition apps and ensuring accurate attendance. Security & surveillance, attendance monitoring, data protection, and registry are the main applications of facial recognition apps.
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What Are The Benefits Of Facial Recognition Applications?
Why facial recognition apps or facial biometric systems are gaining popularity? Here are the benefits and reasons behind the increasing adoption of face apps.
- High Accuracy
It is one of the top benefits of Facial recognition apps. Facial recognition technology-powered mobile apps have the full potential to scan every feature of the human face very accurately. Such accurate analysis of facial features would help in maintaining extremely high-level security.
- Simple Integration
The integration process of facial recognition algorithms into biometrics or any other surveillance systems or applications is much simpler. The code compatibility feature of technology helps mobile app development companies or software developers to swiftly integrate the intelligence facial recognition algorithms and make applications advanced.
- High Security
Even though, we have fingerprint-enabled biometric systems, the craze for face recognition applications is increasing because of its high-security features. Accurate verification of facial features face recognition systems are more advanced than retina or fingerprint recognition apps.
- Cyber Security
It is one of the most significant applications of a face recognition system. Facial recognition systems are playing a key role in cybersecurity. By implementing facial features matching algorithms, face identification apps prevent unauthorized access to information systems and protect data from being hacked. These kinds of apps are useful especially in the sectors like Healthcare, Banking & Finance, and Airports for refining security levels.
How Does Facial Recognition Apps Work?
The working mechanism of such apps depends on the specific nodal points of a human face. Some apps and software are witnessed to identify as many as 80 nodal points of a face. Besides, technologies like thermal imaging, skin surface textual analysis, 3D face mapping, etc., clearly determine humans’ facial features.
The shape of the cheekbones, length, or width of the nose, depth of the eye socket is easily carved out to create a digital image of an individual’s face and is stored as a faceprint data. This data is then resurfaced and compared every time you use the app for an image or video.
You can find many applications available on Google Play and Apple Store i.e., android and iOS that use facial recognition through deep learning technologies, artificial intelligence (AI), and sometimes augmented reality (AR). Although these apps have found their application for added security, they are also a source of entertainment.
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Let us go through different face recognition app available:
Google Cloud Vision App
When cloud engines are compiled with face recognition platforms, they bring up a massive advantage. In case your application runs on Google cloud, it would become super easy to integrate Google cloud vision into your application. You can also train customer vision models through AutoML vision, which many programmers seek as an added benefit. It is capable of detecting multiple faces with all major attributes like emotions of the person.
IBM Watson Visual Recognition
The IBM Watson Visual Recognition is yet another powerful and useful application that can be primarily used in many computer vision applications. It is equipped with the power of accurately classifying the vision data and datasets through machine learning. It is also considered as a powerful tool for training the art of facial recognition and detection applications.
Microsoft Face API
Microsoft Face API is recognized as one of the top computer vision domains known for building cloud-centric intelligent applications. This application enables detection and comparison of similar faces and organizing them into different clusters. This powerful tool can recognize the previously tagged face, which can prove quite beneficial for security purposes. Also, it is capable of detecting more than one human face, which includes emotions.
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Amazon Rekognition
Powered by AWS cloud services, Amazon Rekognition is considered one of the giant players in the face recognition space. It provides user-friendly features relating to image or video processing. This app is capable of detecting various faces, and activities in one given image. Also, this app is top-rated in terms of accurate facial analysis services.
Blippar
Blippar is primarily an augmented reality app initially developed to recognize everyday objects by a London-based augmented reality company. Augmented Reality advertisement for various brands was the sole purpose of the Blippar app.
Also, this app came up with a special public figure facial recognition feature. This feature enables you to identify images of around 3.5 lakhs of celebrities. This app uses deep learning computer vision, another form of artificial technology. Simply by using your smartphone cameras, it can recognize real-world objects.
Hence, the following were some of the best facial recognition applications available in android and iOS platforms.
Conclusion
Facial recognition technique has become prominent and are being increasingly integrating in many application. Many industries are now investing on facial recognition applications that ensure security. On the other side, facial recognition has been emerging as a must-have feature in mobile devices, thus, the scope for these type of apps would be anticipated to increase in the years ahead.
If you are looking to develop facial recognition apps development companies, you are in the right place now.
USM Business Systems is one of the top mobile app development companies that use AI, Machine Learning, Deep Learning, and facial recognition like next-generation technologies for the design and development of most advanced and bespoke Android and iOS mobile apps.
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