Sectors where facial recognition is still booming

One human recognizes another human by reading the face. Face recognition cameras do the same with the help of API and AI. It was a groundbreaking technology in the authentication and identification industry, but it is not limited to its current capabilities and applications. It is evolving with time to cope up with the changing requirements. In the last two years, the pandemic has influenced the evolution of this technology to adapt to new norms like masks.

Also, COVID-19 has changed people's perspective towards facial recognition technology, and it has fueled the market to start new researches. Furthermore, the pandemic has paved the way for advancements in the technology used for niche applications.

Some of the innovative technologies associated with facial recognition that developed in recent years are; age verification, lie detection, recognizing people wearing masks and makeup, etc., - are going to play a pivotal role in the future implementation of facial recognition technology. Most of these technologies are still in the development stages for further improvements. Though, these new algorithms can help many industries in different ways to improve security, authentications, and ease of doing business. In this blog, we'll discuss the new technologies and innovations that will power the biometric industry in 2022 and beyond.

Contents inside:

  • • Sectors where facial recognition is still booming
  • • Future technologies that will drive face recognition in 2022
  • • Closing note

Future AI technologies that will drive face recognition in 2022

Even before the pandemic, facial recognition technology was regarded as one of the most reliable and convenient biometric verification methods. But the Covid 19 crisis fueled its market by increasing the demand for contactless biometric technology. Some of the fields where technology was in great demand during the pandemic were health, travel, public safety, and smart cities. These industries are going to still boom in 2022 also.

The most important sectors among the aforementioned are air travel and the health sector. Many countries launched their E-passports that support facial recognition for immigration clearance. Many countries are still on the verge to implement or planning to roll out soon. Also, some countries are using facial recognition as the boarding pass even without starting the E-passport facility. Both these technologys' expeditions will continue in coming years.

The health sector experienced unprecedented safety issues in the last two years, and nobody is expecting an end to it soon. Facial recognition improves safety and reduces verification errors at hospitals. It is also a hygienic method; it limits common touchpoints during verification in hospitals and public spaces, hence helping to reduce pathogen spread. Even after the pandemic, more hospitals are likely to embrace face recognition for various verification purposes in the future years.

When it comes to smart cities, facial recognition has become a key component of smart city surveillance. The technology is now spreading to all cities and public places to secure crowed areas from pathogen spread. In this sector, facial detection is evolving to detect objects in the streets, so it could help find overflowing waste bins and identify objects in the streets.

Also, read 4 Compelling Use Cases of Facial Recognition API

Future technologies that will drive face recognition in 2022

Facial recognition is now a part of our everyday lives; we use it on smartphones, laptops, and attendance marking systems. Technology is now getting much closer to our day-to-day lives with home automation, automobiles, and payment systems.

Smart and intelligent homes that use face recognition with IoT and AI recognize their owners, close relatives, and friends. Similarly, automobile companies utilize facial recognition technology to control access to cars and authentication for the steering wheel.

Hyundai is leading in this sector, but in 2022, a lot of manufacturers will incorporate facial recognition and other biometrics into vehicles. The upcoming technologies in automobiles won't be restricted to access control. Car owners can set permission for family members and friends - also prevents theft. It can also restrict access for minors and senior citizens from driving the vehicle.

Besides, as I mentioned in the introduction section, some cutting-edge technologies that will drive facial recognition in the future, such as age verification, lie detection, and detecting persons wearing masks and cosmetics. Below, I have elaborated on the future applications of these technologies.

Algorithms that recognize people wearing masks and makeup

This algorithm is a significant development in facial recognition technology in the amid COVID-19 crisis. The algorithm was necessary for law enforcement agencies to fight masked crimes. Several similar algorithms developed from across the globe for access control, law enforcement, and surveillance applications.

Soon such an algorithm will replace the existing facial recognition APIs at airports, BFSI, schools, and hospitals where recognizing masked faces is crucial. It will reduce presentation attacks using makeups considerably.

Lie detection

Various countries have developed lie-detecting algorithms that empower face detection to read the truth from a face. Investigation agencies can use the technology to confirm whether the culprit is telling the truth or not. The European Union funded an AI-based lie detector project that intended to create an online lie detector test which people planning to visit the EU may take from home using a webcam. The technology scans facial expressions to determine whether or not a person is telling the truth.

Age verification

Similar to lie detection, age verification will also be beneficial in web apps. It appropriately checks a person's age via web apps while registering for examinations, institutes, or government programs.

Apart from the above application, it is beneficial in retail stores to verify customers' age to supply alcohol and medicines. Hence, the technology might find application in convenience stores, liquor shops, and medical dispensaries.

Closing note

Nobody can predict the technological developments in our era; it is adapting to the necessities and evolving as quickly as it possibly can. It finds applications in many sectors and the contactless nature of facial recognition makes it convenient for many sectors; hence, it is here to stay for a while. So begin with a cutting-edge facial recognition API on the market today: if you are looking for one, contact Mxface at: Click here.

What Mxface offer:

  • • Facial comparison
  • • Server-based facial recognition
  • • Group API and Identify API
  • • Cloud-based attendance system
  • • Easy enroll faces from still or video image