Knowledge&Technology

Top 5 Use Cases of Face Recognition

In this article, you will discover the top 5 use cases for face recognition in 2022.
Halime Yilmaz
3 minutes

Top 5 Use Cases of Face Recognition

Facial recognition is becoming an increasingly important element of our lives in several ways. What was once only seen in movies is now very much a reality thanks to technological advancements. From instantly unlocking our phones to facial recognition processing at the passport check, we can now be recognized using our faces with great precision and accuracy. Before we take a deeper dive into what face recognition is used for, let's first take a brief look at what exactly facial recognition is. Face recognition, also known as face detection, is a biometric technique that uses a person's facial traits to identify them. Face recognition software and systems record patterns in a human's Face, then scan and compare them to an existing prototype of that person's Face to validate their identification.

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What exactly is face recognition used for these days? In this article, you will see the top 5 face recognition use cases for face recognition and discover uses cases of facial recognition in different ares.

Security Use Case of Face Recognition

1.Security

Security systems are widespread in residential, business, and public environments across the world, contributing to social well-being and safety. Video surveillance systems range from Wi-Fi-connected home cameras to sophisticated IP camera systems that provide excellent real-time monitoring as well as the ability to save recordings of past events for inspection and analysis.

Traditional security systems rely on observing live video feeds or records and manually informing designated staff of unusual events. This procedure is time-consuming, costly, and unreliable. Integrating face recognition into security systems can boost the performance of security and monitoring across industries while also lowering expenses. It can detect when people are in the line of sight of a camera and recognize anyone in the system's database, sending out notifications for targeted human action. Moreover, face recognition can do more than that! The advantages of this technology for law enforcement are countless, as it provides criminal detection and prevention. It can help to make the world a safer place for humans. To understand the technology better, let's look at five cases in a security context:

Detect Criminals and Prevent Crimes

Face recognition is beneficial for spotting and tracing past criminals in public places. Operators can find matches in live video and respond before it's too late by using an image of a known criminal from a video or a database. Police officers can also take immediate precautions. So far, this technology has enabled criminal and investigative departments to prevent several crimes.

Find Missing Kids

Face recognition technology can help operators save time by allowing them to compare a reference photo given by the missing child's parents with previous appearances of that Face caught on camera. Face recognition can also be used to search video sequences for the child's predicted location and time of disappearance. Officers will be able to better understand the child's movements before going missing and pinpoint the location where he or she was last seen. A real-time alert can sound an alarm anytime a match is found. After that, police can validate its authenticity and take whatever steps are necessary to locate the missing kids.

Accelerate Investigations

Investigators seeking video evidence in the aftermath of an incident can employ facial recognition tools to help them. It's vital for investigators to be able to separate suspects' and people's identities in order to speed up their analysis of video evidence for important details. They have a better understanding of how events actually occur thanks to this tech.

2. Attendance

Monitoring attendance is crucial in institutions like schools, churches, and companies. This can be done for statistical purposes or to ensure that attendance requirements are adhered to. Traditional methods were extremely slow, efficient, and prone to errors. Employees must clock in and out using physical identity, personal information, and even biometrics in traditional time and attendance systems. This component has been streamlined thanks to facial recognition software, which ensures that attendance is accurately recorded without requiring any particular actions from either attendants, instructors, or other supervisors. This can be taken a step further by combining it with systems that track attendance numbers and analyze them for patterns.

For example, face recognition technology can be useful as it has the ability to track student attendance in addition to making schools safer. In the past, students could sign another kid in who was skipping class. Facial recognition, for example, is used in China to guarantee that pupils do not miss class. Students' faces are scanned with tablets, and their images are matched against a database to confirm their identities. Moreover, churches have also begun to use facial recognition technology to determine which members of their community are attending services. This can assist them in determining whom to approach for donations and which members to contact in order to encourage them to attend more frequently.

3. Healthcare

The health and safety of people in public and private places have been a priority since the COVID-19 epidemic began. As a result, several global measures have been adopted, including the requirement to wear a mask outside of the house and the conduct of temperature checks while entering public venues such as railway stations, offices, and shopping malls. This is an intriguing application of facial recognition to help people stay healthy by ensuring that masks are worn properly, especially in public places. Face recognition software can be used to diagnose illnesses that generate visible physical changes. Facial recognition, for example, is used by the National Human Genome InstituteResearch Institute to diagnose DiGeorge syndrome. In 96 percent of cases, this innovative technology has aided in the diagnosis of the condition. It will become a crucial diagnostic tool for a variety of disorders as algorithms get more complex.

Face Recognition in Healthcare

4. Retail

Facial recognition is also becoming more and more promising for the retail industry as a means to improve customer service in shops and online. As businesses try to eliminate contact points and make the process of buying goods more effortless, there is an even greater need to look into the possible use cases for face recognition in the retail sector. Pay by Face, which allows consumers to make purchases merely by revealing their faces to a specialized terminal, is also expected to be rolled out in the retail sector over the next several years. Facial recognition is also employed in the retail industry to assist in creating personalized consumer experiences by speeding up fraud and theft investigations, as well as boosting loyalty programs and in-store marketing activities.

5. Finance

Another industry where facial recognition software is becoming increasingly popular is banking. Some banks have integrated such technologies into their mobile banking systems, eliminating the need for passwords, PINs, and other seemingly traditional security procedures. As an additional degree of protection, some ATMs incorporate facial recognition software.

This can be beneficial not just for ensuring that the person withdrawing money is the account's owner but also for detecting any potential background manipulation. Face recognition is widely used in modern banks for a variety of purposes. Special customers can be identified and addressed as soon as they enter an institution, known criminals can be closely tracked, and workers can cross the grounds without scanning a keycard every few feet. All of these considerations have relieved banks and other financial institutions of a significant percentage of the effort they ordinarily bear when interacting with clients.

Check out the below video to see how to build Face Recognition on the Cameralyze Platform

Final Thoughts

Face recognition has proved itself a vital approach in biometric operations nowadays. Several organizations, ranging from corporations to government agencies, have been using this cutting-edge technology for a variety of objectives.

Client-specific and highly customized biometric services are provided by the top facial recognition use cases, which smoothly fulfill the desired purpose. Cameralyze's AI-Based Face Recognition System offers you the most cutting-edge technology solutions and a one-of-a-kind experience for identifying and recognizing faces in any photo, video, or live stream without any code. You can easily integrate face recognition into your applications and start utilizing it, thanks to Cameralyze's third-party integration option.

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