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How Old Are You? Microsoft Tool Guesses Your Age

To determine your age or that of another person from a photo or video, upload the photo or photo taken from the video in the Use your photo section of this site (click).

Please wait a while after the photo is uploaded. It shows the person’s age on the face in the photo.

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Even when Microsoft engineers did not expect it, the How Old Do I Look website suddenly spread like wildfire within weeks, just like a viral phenomenon. The site has about 2.1 million shares on Facebook, and many online and media commentators have written about it. Most of these discussions are about the success or failure of the site’s algorithms in accurately identifying the actual age of the subjects in the photos.

This amount of attention and welcome to Microsoft’s new tool shows how much users are interested in topics such as age detection by an application. It may be worthwhile for you to visit this site as well. But before that, let’s get a little more familiar with this fun tool.

How Old Do I Look? – New Microsoft Product for Age Recognition

Microsoft has recently used an old API (application programming interface) for face recognition that can act as a conduit for people to analyze their age by analyzing their faces. Users can upload their favorite photos to the site and then select the upload option to send their information to Microsoft servers.

After receiving the information, Microsoft starts calculating and finally shows the results related to the person’s age and gender with an option called “best guess.”

The Microsoft engine performs a complete analysis of the photos and looks for patterns that can be used to identify the person in the photo. It then uses a complex set of different algorithms to identify the gender of the person in the photo. Finally, the best guess on this site is what you are shown to determine a person’s age and gender.

Although How Old Do I Look soon became famous and made its way into the audience, it is too early to judge its performance. Many of the ages the site guessed were funny and unreal! Microsoft IT engineers are still testing the original API, and it looks like they are not ready for this welcome volume yet.

What other options are there for diagnosing age?

As Microsoft has realized, it is very difficult to determine the exact age of people working. Their decision to guess an individual’s age and reach a conclusion that is closer to reality is something that is not very much in line with the industrial process.

Although Kairos offers age recognition in its three new products (all of which recognize a person’s age via video), this technology has its limitations. Like most other companies working on the age-recognition project, Kairos prefers to use age-recognition data.

Kairos’s products provide the best results in determining the age of individuals, taking into account four important and basic age ranges. These four intervals are:

• Child (0-13 years old)
• Young adults (14 to 35 years old)
• Adults (35 to 65 years)
• Older (65+)

Other websites do age detection work, but most of them have limitations. One of these sites is Age Detector, which detects your age from a photo like Microsoft.

The website also disclaims any responsibility before taking any action, stating that “age-recognition results on this site are for entertainment purposes only, and your age is estimated based on your facial features, and there is no guarantee that the results will match your actual age.” “There are no people in the photos.”

How does age recognition technology work?

Age diagnosis is based on the visual functions of the computer. In advance, a lot of visual information is given to the computer for different ages so that the system can learn what everyone looks like at a certain age. When you upload a photo, your image is compared to previous system information to estimate how old the new photo is.

On the other hand, there is a very accurate statistical model that you do not see. This model helps the computer determine the best result for your photo. This modeling involves using the SVM (Support Vector Machine) algorithm to help differentiate different types of faces in their related age groups.

It is very good to determine a person’s age using mathematical formulas and computer calculations. Still, now the question is when one gets older, how do these systems detect age changes?

Marquardt’s Beauty Analysis provides a clear analysis of how our faces change with age. The site also divides different ages into four categories, which is not the same as the Kairos division, but it is similar:

1- Newborns

2- Children

3- Young adults

4- Older adults (of course, this site, for aesthetic purposes, considers anyone over 24 years old)

For example, the face of a normal baby is different from that of an adult because:

• The head is larger than the body
• The eyes are larger than the face
• The face is generally rounder
• The species are thicker
• Eyebrows are short and smooth
• The nose is short and small

Determining the approximate age for infants, children, and adults should be easy, as there are obvious differences between the three stages. The hard part is that around the age of 25, the beauty of our faces is declining. In fact, from this age on, it is difficult to determine the true age of people because everyone ages specially and differently. We all grow old to varying degrees.

Conclusion

The fact is that Microsoft has made an ambitious effort to identify the exact age of people by their faces. Most face recognition APIs use age ranges in their results, not exact ages because it is very difficult to estimate the exact age of the work. However, the age at which these devices detect may still differ from your actual age on the ground.

Perhaps one of their mistakes is that their websites do not put a form where you can enter your real-life scanned photo at that age. This can help the learning process of the age estimation system.