The demand for AI face recognition technology is rising quickly on a global scale. By 2028, the market is expected to have grown from $5 billion to over $13 billion. Business executives must consider several variables before starting any projects when employing facial recognition technology, though. Without these factors, using facial recognition in your company can turn into a challenging and complicated procedure.
To assist business executives in making the best choices, I will help you explore the top 7 use cases of facial recognition in this article.
Use Cases Of AI Face Recognition Technology In 2023
Listing the 7 top most use cases of facial recognition below;
· Use Case # 1 – Surveillance And Security
Facial recognition technology can significantly increase security and surveillance effectiveness across industries while lowering expenses. It can detect anyone already in the system’s database and determine when people are in a camera’s field of view, automatically issuing notifications for targeted human interventions.
AI face recognition can make a significant contribution to a safer environment when used ethically and effectively. To put the technology into perspective, think about the following instances:
- Protecting factories and warehouses
- Preventing unauthorized people on a blocklist from entering a building
- Smart home security systems
· Use Case # 2 – Safety And Health
Since the COVID-19 epidemic struck in early 2020, protecting people’s health and safety in public and private settings has taken on more importance. This is an intriguing use of facial recognition to help maintain people’s health by ensuring that masks are worn correctly, especially in public settings.
Facial recognition technology is frequently included in health kiosks, such as Sentry Health Kiosks. Cameras are used by kiosks with face recognition technology to determine whether someone is wearing a mask and how well they are wearing it. They may also have thermal imaging cameras that can detect body temperature, preventing anyone with a fever from entering the building.
· Use Case # 3 – Attendance and Time
Facial recognition technology can help businesses enhance their time and attendance systems as they reopen their physical offices and welcome back their workforce following Covid. Present AI face recognition solutions are the greatest option for face recognition technology for several reasons:
- All cameras are supported.
- No contact at all.
- It is quite precise.
- With a photo, employees may easily enroll.
- This stop from spoofing.
They are complete software solutions, but time and attendance systems are great for facial recognition technology. They can support time and attendance systems as well as security, access control, and health monitoring.
· Use Case # 4 – Law Enforcement
Since the beginning of the technology’s development, law enforcement has been a crucial use case for face recognition. The technology is useful in some public sector contexts, but there are also issues about improper surveillance, biases, and erroneous identification. Face recognition has been used responsibly by police to solve crimes, from locating dangerous offenders to detecting shoplifters. The deployment of technology for law enforcement has slowed significantly due to unfavorable public perception. To fully earn the public’s trust, ethical facial recognition implementation and regulation still need to be improved.
- Help those in need who are unable to identify themselves
- Locate the missing
· Use Case # 5 – Biometric Border Check-Ins
26 countries make up the European mainland’s Schengen Area. There are no border or passport checks inside the zone. For the residents who are nationals, this is convenient. However, it poses a challenge for border guards who must keep track of the 887 million non-EU residents expected to enter the region year by 2025.
There is currently no centralized mechanism of AI face recognition in place to track all entrances and exits to the EU-Schengen region. However, the Large IT Systems Agency (EU-LISA) is creating an entry/exit system to collect biometric information from all non-EU citizens who enter and exit the EU through its external borders. Face data will be part of this.
· Use Case # 6 – The Mastercard Selfie
Identity verification procedures now used in e-commerce are problematic for both customers and retailers.
When the sign-in process takes too long, customers forget their passwords or stop making purchases.
- Every time this occurs, businesses lose customers.
- Mastercard used face biometrics to remedy this.
It unveiled Identity Check Mobile in 2016. Here, the cardholder uses a smartphone selfie to swiftly and securely validate their identity with the shop and the card network.
· Use Case # 7 – Buying Fast food
Fast food restaurants have been busy installing self-service kiosks in place of their human cashiers in recent years.
A similar setup is currently being tested in California by the burger chain CaliBurger. Customers may use the kiosks at the chain’s Pasadena location to place orders, make payments, and sign up for the loyalty and rewards program. The intention is to switch over to face-based payments from credit card swipes.
In China, biometric payments have become very popular. Numerous restaurants across the nation have implemented digital technologies to enhance customer experiences, revenue growth, and operational efficiency in response to favorable customer feedback.
Conclusion
We have only begun to scratch the outer layer of what AI face recognition is capable of to increase efficiency, security, and safety on a global scale. It is the biometric and AI technologies of the future. We look forward to delivering top-notch information related to face recognition solutions to end consumers and continuously improving.
