Top 6 Use Cases for Facial Recognition in 2023

28/03/2022

According to Grand View Research, the market for facial recognition technology reached a value of USD 3.86 billion in 2020 and is projected to grow at a rate of 15.4% annually from 2021 to 2028. This technology has been rapidly advancing in recent years and is set to become even more ubiquitous in 2023. 

Facial recognition is versatile and can be applied in many areas, from enhancing security to improving customer experiences. Here are the top six use cases for facial recognition in 2023:
 

Security and surveillance

Surveillance systems are being applied in many industries, including residential housing, commercial buildings, and public settings. Integrating face recognition into the surveillance system can make it more efficient, accurate, and cost-effective.

Facial recognition can be used for security and surveillance purposes, such as preventing strangers or individuals on blacklists from entering premises, identifying potential threats in public spaces, or detecting criminals. In 2023, we can expect to see an increase in the use of facial recognition in airports, government buildings, and other high-security areas.
 

Access control

Facial recognition can be used to grant access to secure areas or buildings. Here are some typical examples of how face recognition can help improve the efficiency of access control:

Facial recognition for access control
 

Access control systems for residential facilities

Facial recognition is widely used to permit entry to approved residents or guests who have been pre-registered while preventing access to unauthorized individuals. Instances of this include:

• Smart access control at the lobby or entrance of the buildings
• Smart elevators for residential buildings
• Smart parking for apartments or townships
   

Access control for commercial buildings

One use case of facial recognition technology in access control for commercial buildings, such as offices, is to replace traditional access control methods like key cards or passwords. Additionally, facial recognition can be used to monitor employee attendance and timekeeping, ensuring that only authorized personnel are accessing certain areas. This can improve security and reduce the risk of unauthorized access or security breaches.

Access control at office buildings

According to a report by MarketsandMarkets, the facial recognition market in access control is expected to grow from $3.2 billion in 2020 to $7.0 billion by 2025.
 

Smart retail and personalized customer experience

Many individuals may primarily associate facial recognition with surveillance, security, and safety. However, facial recognition can do more than that. It can be employed to improve customer experiences and tailor advertisements and promotions to individual customers in the retail industry. 

For instance, a retail store can use facial recognition technology to identify customers as they enter the store and then display tailored offers and promotions on digital displays. In 2023, we can expect to see more stores and businesses using facial recognition to analyze customer demographics and preferences to provide personalized shopping experiences.

Facial recognition can help collect and analyze customer preferences
 

Banking and finance

The most popular application of facial recognition technology in this sector is eKYC (electronic know your customer). With eKYC, the identity of customers can be verified remotely without the need for physical document verification or in-person visits to the bank. This can significantly reduce the time and effort required to onboard new customers.

Facial recognition can also be leveraged for authentication, replacing traditional methods such as passwords or PINs. With facial recognition, customers can simply look at their phone or a camera to log in to their account or authorize a transaction. This can reduce the risk of fraud and make the customer experience more seamless.

Customer verification is widely applied in banking
 

Education

Facial recognition technology also offers valuable benefits for education sectors in monitoring student attendance and behavior and enhancing academic outcomes. One of the key applications of facial recognition in education is attendance tracking. 

By using facial recognition technology, schools and universities can accurately and efficiently track student attendance, reducing the need for manual check-ins and improving overall efficiency.

Furthermore, this technology can be applied to monitor student behavior and prevent bullying or other negative behaviors. For instance, facial recognition can be used to identify a student who is consistently absent or appears to be struggling academically. This information can be used to provide targeted interventions and support services that help the student succeed.
 

Facial recognition in education
 

Healthcare

Facial recognition technology can be used in healthcare to improve patient care, security, and operational efficiency. Patient identification is the most prominent use case. Patients are identified accurately and efficiently at check-in, reducing the risk of errors and enhancing patient safety. This can also help streamline the patient registration process and reduce waiting times.

Facial recognition can also be used for patient monitoring and engagement. Healthcare providers can adopt facial recognition technology to monitor patients' facial expressions, such as their pain levels or emotional state. This information can be used to provide targeted interventions and support services that help the patient manage their health more effectively. 

Facial recognition can also be used for medication management. By using facial recognition technology, healthcare providers can ensure that patients receive the correct medication and dosage, reducing the risk of errors and improving patient safety.