Facial age verification is a process in which facial features are studied to detect the original age of an individual. While several aspects of the face can be analyzed to detect age such as wrinkles, fine lines, and other signs.
Moreover, this advanced technology is applicable in many areas like businesses, airports, education, healthcare, and many more. Many people have been exploring the new advancements in this technology since 2002. At that time, the patterns of aging were termed aging functions. In this regard, facial look is extremely crucial while detecting the age. Age is a bit critical element to detect by using a face as compared to detecting identity.
Applications of Facial Age Detection
This technique can be used in many areas like businesses, security checks, biometrics, employment, access control, and finding a missing person. By using different facial patterns of an individual, the age can be detected in all mentioned areas.
- Online Businesses
When it comes to businesses, this technology can be accommodating to ensure that underage individuals should not be involved in businesses like selling alcohol, gambling, and many more. With the advancement, it will be incorporated into all the other possible online businesses to improve user experiences.
- Security Checks
Online age estimation plays a vital role in maintaining security levels. At airports, banks, offices, and other buildings this system makes sure that the person is not using any fake ID or trying to enter the age-gated area. It also detects a criminal from the crowd by monitoring the age and its behavior.
- Retailing
Retailers can use this technology by recognizing the age of their customers. They can suggest age-appropriate products to their clients. Also, they can advertise age-restricted advertisements to the relevant age group by determining the age of their customers.
- Healthcare
In healthcare centers, this technology can work to determine the biological age of a patient. The actual age might be different from the biological age because it grows with the underlying diseases in the body.
Besides, Facial age verification face can be detected by dermatologists during online consultation sessions. It will detect the age using the face to suggest possible treatment or skincare products.
Innovations in the Technology
AI age estimation is a progressive technology that is continuously improving itself to perform minor tasks that are impossible for a human to do. In this regard, AI is evolving itself with time.
- Algorithms
Age detection AI is working on the latest algorithms to analyze an individual’s data swiftly from a large database with accuracy. It can study the precise facial features more accurately to estimate the age of an individual. The algorithms are designed with certain parameters and provide all the possible interpretations after studying the data.
- Transfer Learning Technology
This technology is designed to allow the system to utilize the previous learning to apply it to another study. If there is a system that is an expert in studying simple facial features will automatically detect the age afterwards without the need for any further information.
- Data Augmentation
This allows the model to study the image from different angles by rotating it all around. It makes the model learn the possible interpretations of faces in different conditions.
Future of Facial Age Verification
Several AI tools are designed for different tasks and all of them are improving over time. These facial age estimation software are working to improve accuracy in terms of analyzing the more subtle features in an image. It can be done by incorporating the new algorithms in the models to study the precise patterns of faces accurately.
Moreover, the basic face recognition technology can be amalgamated with other security systems for enhancing it such as biometric systems like fingerprint scanning, voice verification, and others. Besides, this technology is working to detect age in real time like in stores and malls. In this way, the model will be able to verify the age instantly at malls and other businesses. With time, this technology will overcome the issues of privacy and avert the biases in algorithms to avoid unfair verification. In addition to the advancement of this technology in businesses, it will also grow in terms of personalized experiences for websites that can restrict data for underage audiences by estimating the age of the user.
