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How Face Recognition Works

Face Recognition

Most people feel safe when using face recognition technology in apps like Instagram and Face ID. But it is interesting to note that this relatively new technology can be somewhat bizarre!

Like any other technology, face recognition technology has its weaknesses, and in many military and security uses there are various ways to circumvent it. For this reason, it is now more important than ever for users to become familiar with how face recognition technology works. It is interesting to know that even Taylor Swift used the method in one of her concerts. But what exactly face recognition is, and how does it work?

The application

Using facial recognition to identify people is one of the common methods today. Due to the simplicity and no need for physical contact with devices and also the possibility of recognizing people while moving, has become one of the attractive methods and can be used in various ways.

Face Recognition

Some of these applications include:

  • Use of face recognition in traffic and attendance control devices
  • Use in mobile applications for various purposes
  • Face recognition for logging in to software systems such as login in Windows
  • Use in smart applets for authentication on smart cards
  • Use in offline and electronic authentication services (e-KYC)
  • And …

An overview of face recognition challenges

Face recognition is one of the current problems in image processing, machine vision and pattern cognition. This technology is one of the few biometric methods that has been considered by many researchers with its many applications. These applications include traffic control and registration in time and attendance systems, control of ID cards, protection of computer systems and data sources, e-commerce, and so on.

Face recognition systems can perform recognition on still images, video files, and images from a variety of sensors, such as 3D image capture sensors and infrared image capture sensors. Facial self-recognition systems in still images are divided into two categories based on the type of application: individual facial recognition or recognition systems and facial recognition or recognition systems.

In general, face recognition systems have important challenges such as the presence of obstructive details in the face image, aging in the examined images, change in the brightness of the images, and the small number of images available of the person for face recognition. Changes in a person’s gestures and emotional states such as happiness, anger, surprise, etc. when taking a picture, changing the angles of the face in front of the camera, etc.

Face Recognition

Some researchers say face recognition technology is like a double-edged sword that, despite its many advantages in today’s world, has far-reaching consequences.

The world of technology is moving so fast that, perhaps without our attention, a suddenly ruined world will appear before us. Face recognition, is one of the most important achievements of this world, which we are probably on the path to culminating and perhaps hitting. Some big tech space letters are developing professional  tools and selling them to governments around the world. On the other hand, the general public is probably unaware of the dangers of such a tool.
Some experts and critics in the world of technology and even some policymakers around the world are concerned about the development and unlimited use of face recognition.

New York’s representative in the US Congress, Alexandria Occasio Cortez, is one of the biggest critics of technology, and she is seriously looking to legislate more and more on these tools. Elsewhere in the world, human rights NGOs are seeking to restrict technology. In the meantime, the general public should be aware of the potential threats to face recognition.

Other uses of face recognition technology

Biometric face recognition technology can be used in the public sphere to monitor border security, identify criminals and eliminate identity fraud. In the private sector and organizations, Face Detection can help you verify employee information and business hours, make ads more effective, help social media users identify and tag other users, and control access to locations Sensitive, increases security.

Employers of the device have accepted the presence of face recognition as an efficient and cost-effective way to accurately record employees’ time records such as entry and exit. This technology generally makes this easier, more efficient and more accurate. This technology can also be used to identify cases of driving license fraud by comparing driver’s license photos with other parts of motor vehicle images in the file How does a face recognition system work?

As you know, the face is one of the most common non-verbal ways in which a person transmits his inner emotional states through the face. Face recognition is widely used in various fields such as developmental psychology, behavioral sciences and human-computer interface. In the new age, authentication is done using various methods such as fingerprints and face recognition.

Face Recognition

The first experiments with face recognition can be traced back to the 1960s, when they referred to drawing methods. No one at the time could have fully imagined that half a century later, face recognition software could be used everywhere by police, security specialists, the government or even as a password on face recognition time and attendance devices. Be used. Microsoft currently uses the software for authentication in Windows 10. Using computer algorithms, the 3D face recognition system detects people by measuring certain features of their face, such as the distance between their eyes or the width of their nose.

Many studies of cognitive science in the field of human face processing claim that the process of recognizing faces is much more complex than the process of recognizing other objects. This means that face recognition is not only done by recognizing and considering each feature, but also by blinking the human eye at the same time, as well as recognizing living skin tissue compared to counterfeit 3D masks, among the first basic factors to start the process.

The main difference between people’s faces can be expressed as follows:

  • The size of different parts of a person’s face (such as the length and width of the eyes, nose, mouth, etc.) varies.
  • The distance between the components of a person’s face (such as the distance between the nose and the lips, the distance between the eye line and the eyebrow line, etc.) varies.
  • The color of people’s skin is also different from each other.

So far, many cases of facial misidentification have been reported by these systems. Therefore, these systems have not yet reached sufficient accuracy, but this inaccuracy does not mean abandoning them.

Conclusion

All technologies have weaknesses at the beginning of application, which experts in this field turn into weaknesses over time.

This technology has also become smarter over time and can recognize faces more accurately. Governments always want more information from their citizens to better control society. As mentioned, with the help of this technology, people’s faces can be recognized. For this reason, many spy and government organizations tend to use this technology to achieve their goals.

The use of these organizations can lead to a violation of citizenship or invasion of privacy. So far, there have been reports of abuse of this technology by some governments. That’s why some developers of this technology have decided to do not provide this technology to such organizations. Some developers have also announced that they will stop the development of this technology for fear of the spread of this technology and the consequences of its use.

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