Face Recognition – Secured Technology on Mobile Devices

In the era of advancing technology, mobile devices are more likely a personal computer, important information, and private works are commonly stored in mobile servers that require a powerful authentication mechanism. Providing the best authentication systems on a mobile device is a key factor that leads to the success of that device. Several authentication technologies have been introduced are face recognition, fingerprint scanner, voice recognition, iris recognition, number password however, face recognition is considered the most powerful biometric and this digital security is now an essential system in upcoming products of mobile companies.

Following are advantages why software development companies invest in mobile face recognition:

An increasing trend of applying recognition software in mobile devices therefore now is a fundamental security feature for a mobile device.

Face recognition is the most advanced securities software, developing and enhancing the quality of face recognition is also a marketing way for technology companies to attract more customers.

Surprisingly, the cost of face recognition is cheaper than a fingerprint scanner, therefore, in order to upgrade other functionalities of the phone, lower price and better security is the best choice of mobile companies in their product development process.

In the user context, using mobile face recognition provides passive, seamless access, security, and convenience to daily activities of users such as buying a coffee or opening a door. As a result, to fascinate users, mobile companies are now applying face recognition in their following products.

A seamless experience for customers as face recognition can combine with other password required applications to faster authentication steps that better experience for users.

Mobile face recognition against the mobile fingerprint scanner

Both systems are created to replace cryptography for faster and better protection. However, aside from fingerprint effectiveness, blemishes such as dirt grease, gloves, or finger damage can affect the accuracy of the digital security, also other’s fingerprint being able to unlock the phone is one in 50,000 compared to face recognition is one in 1,000,000. Unlike mobile fingerprint scanners, additional hardware is not necessary as the technology uses the front camera of the mobile device to process and smoothly integrate into authenticating apps and passwords with ease. In summary, face recognition on phones offers many benefits than the old security system:

• Fast and convenient – contactless
• The analysis process features a unique code that identifies individual
• Offer remote verification
• A breakthrough in biometric authentication but easy to use
• Most mobile app developers support combining face recognition in an app’s security
• A low percentage of random people can unlock a specific individual’s phone which is better security
• High universality: Facial features are found in all human beings.

Mobile face recognition increases sales

Thanks to the iPhone X which first introduced face recognition (Face ID) on the mobile phone, recent statistics show that Apple holds the top spots for most-shipped smartphone models in the world (12.7 million) while other products without Face ID can’t compete with. Since then, witness a blooming face recognition upgrade on mobile devices of other competitors. Now, face recognition is an essential feature of mobile devices. However, software developers should enhance the quality of face recognition for better software performance.

With the high demand for face recognition apps, opportunities increase for mobile app developers to introduce apps related to face recognition. In 2017, a software called FaceApp received a wave of attention and its craze has gone global by using AI face recognition technology to age people’s photos in a particularly realistic way. Using mobile face recognition function to entertain, FaceApp got millions of downloads and became the top free app in a blink. In conclusion, mobile face recognition plays a vital role in the growth of mobile biometrics and projected to increase rapidly in the coming years.

Mobile face recognition in COVID outbreak

In the COVID pandemic, mobile face recognition has proven its value in disease outbreak prevention by offering touchless, accurate solutions. By using an individual’s face as a replacement for physical payment, building access reduces the infectiousness of the disease. Mobile health advice apps can be associated with mobile face recognition systems for prevention, early diagnosis (e.g. symptom checkers). This illustrates collaboration between IT companies, academia, clinicians, and public authorities to provide apps for the government to monitor and contain the virus. The mobile biometric identification system also can be matched with other digital identity technologies to better track citizens who fail to respect mandatory quarantine and prevent infected individuals from traveling.

Mobile face recognition: Supportive securities software

Currently, lots of industries take advantages of mobile face recognition for their systems to better control and strict security

Education institutes: to control the population in the class, and prevent students from skipping class by mobile face attendance.

Retail store: mobile face recognition can be used in the context of the discount event. Retail stores can use facial identity to check customer authenticity and also a function for customers to select products or goods based on their gender, age, ethnicity.

Payment method:  for purchase purposes, face recognition password is the most effective software solutions. It brings contactless payment to users without a card or I.D that can be lost or stolen. High value accounts like banking/finance, medical records, vehicle/building access, crypto wallets are also being secured by these advanced software development services.

Medical services: As a healthcare development solution, face recognition technology can alert whether a symptom, unnatural point in a patient’s face to better advice from doctors. Also, it provides network treatment to decrease long line waiting and COVID infection in the hospital.

In conclusion, face recognition technology has proven its value in numerous segments, as a result, the technology is gaining in popularity and eventually will become a part of users’ daily lives