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The future of facial recognition technology – now.Provided by Northrop Grumman

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Facial recognition technology has come a long way. But how does this form of identification work? How accurate is this process and what’s next for this face priority feature?

How does facial recognition work?

Facial recognition tools are often featured in movies, but rarely portrayed correctly. In movies, the process is simple. Heroes find blurry images of crowds containing potential bad guys and use facial recognition software to “enhance” the images. This returns a ton of information about the subject almost instantly, from their name and date of birth to their address, favorite color, and even their full Spotify playlist.

In reality, it’s not that simple.

So how does facial recognition work? First, face detection software scans the image for features that indicate a human face, such as eyes, nose, ears, and mouth. A facial recognition tool then converts the faces in the image into a series of digital point numbers (sometimes called “faceprints”). ” Finally, a deep learning algorithm compares the generated headshot to hundreds or thousands of other headshots in the database to determine their similarity. If one (or more) matches are found, they are reported by the system along with a “similarity score” that indicates how similar they are to the digital headshot. The use of deep learning algorithms is important here. Facial recognition systems become more accurate over time as more information is stored and processed.

When it comes to accuracy, facial recognition has improved significantly. In 2014, the most accurate algorithm had an error rate of 4.1% for him. By 2020, this figure had dropped to just 0.08%. Note, however, that using better technology does not guarantee a solid match. Her 2019 study on algorithms found that algorithms are 10 to 100 times more likely to return false positives for women and people of color. A recent study found that facial changes due to plastic surgery can have a significant impact on the effectiveness of facial recognition.

What’s Next for Facial Recognition Technology?

While challenges such as privacy concerns are obstacles to mass adoption of facial recognition frameworks, the technology offers potential for progress in other areas.

Consider using facial recognition in your ads. A system implemented in a light at London’s Piccadilly Circus leveraged facial recognition technology to identify the age, gender and mood of shoppers passing by and adjusted ads based on this information. The initiative has faced pushback from privacy groups over using this data without consent, but the concept paves the way for more targeted facial advertising. -of.

Automakers are also looking to leverage facial recognition as a way to personalize the driving experience. At the CES convention in Las Vegas, several auto companies demonstrated facial recognition systems that could recognize the owner of the car and unlock the car door. These systems can also be used to customize seat and mirror positions, and even provide an audio signal if it detects facial movements that suggest the driver is falling asleep. The market for facial recognition in self-driving cars is also growing. A car may be responsible for driving, but no owner wants someone just to embark on a joyride. Robust facial recognition not only provides self-driving car owners a measure of security, it also makes it easier to get on the road as quickly as possible.

Another application of facial recognition is healthcare. By analyzing a patient’s face, algorithms can look for specific features that indicate the presence of a rare disease, allowing patients to seek treatment and doctors to take targeted actions. This is not mere speculation. In 2018, medical geneticist Omar Abdul Rahman used a facial recognition app to identify a case of Mowat his Wilson Syndrome in a 3-year-old boy. The disease often presents with deep-set eyes, raised earlobes, and a rounded nose, but it’s so rare that many doctors have never seen a case. There was then a possible match for Mowat-Wilson, and the boy’s parents consented to the test, which was positive. These applications do not eliminate the need for in-person testing by doctors, but offer the potential to help confirm diagnoses and provide insights to individuals via telemedicine connections.

put your best face forward

Like it or not, facial recognition is here to stay. From the consumer’s perspective, even as automakers and other manufacturers look to leverage facial recognition as a way to provide a customized user experience, the technology also gives them greater control over informed user consent. expected to be Meanwhile, when it comes to healthcare, future facial recognition could help improve diagnostic accuracy, streamline symptom identification, and reduce the time required for effective treatment.

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