Facial recognition technology is becoming more and more integrated into society, and many people recognize it as a part of their daily lives.
Once a far-futuristic concept, facial recognition technology is now used in a variety of technological applications with different capabilities, according to Ping Identity.
With facial recognition, you can unlock your phone with a glance, tag your friends in Facebook posts, or overlay one face on top of another in a photo. This kind of biometric technology has revolutionized authentication, making it fast, easy and accurate.
According to Ping Identity, the facial recognition industry generated $3.8 billion in revenue in 2020 alone, and with facial recognition systems capable of achieving up to 99.97% accuracy, the potential for this technology is enormous. However, while facial recognition technology has many benefits, it is important to understand its risks in order to keep your personal data safe.
What is facial recognition technology?
Every day, smartphones, electronic devices and social media users generate millions of images and videos. Combining this large amount of data with data from his CCTV cameras allowed FRT to improve its capabilities. FRT uses a combination of machine learning and AI to look for patterns in facial features in images and videos that ultimately identify an individual.
Face recognition technology brings various benefits to society. Facebook’s DeepFace software, which can recognize human faces with an accuracy of 97.25%, has been implemented for crime prevention and security use. FRT can also reduce the need for human interaction and improve efficiencies such as border checks at airports. FRT can also be used medically, such as identifying subtle facial features to identify genetic disorders.
Many technology companies are developing facial biometric systems such as:
- Facebook’s DeepFace technology has a true positive rate of 97.25%.
- Google’s FaceNet was 99.63% accurate when matching 13,000 headshots from across the web.
- Amazon’s Rekognition is a cloud-based facial recognition service.
- Microsoft’s Face API is another cloud-based facial recognition service.
- Gemalto’s Cogent Live Face Identification System recognizes faces in busy environments and enables developers to create applications that match live face and document data.
How is facial recognition technology used?
Here are the top 7 ways FRT can improve our lives, according to Ping Identity.
- Strengthening cyber security
- Supporting Police and Public Safety Efforts
- Streamlining the airport experience
- Improving the accuracy of medical diagnosis and treatment
- reduce contact with people
- Banking made easier
- Shopping efficiency
Facial Recognition Technology: What Are the Risks?
Ping Identity says that as facial recognition evolves, it will attract cybercriminals looking to compromise these developing systems.
In 2019, it was reported that hackers broke Apple’s iPhone FaceID user authentication in just 120 seconds. Therefore, while facial recognition technology has many advantages, it is important to assess the risks and drawbacks in order to keep personal data safe.
1. May violate individual and social privacy
Threats to personal privacy are a significant drawback of facial recognition technology. People don’t like recording their faces and storing them in databases for future unknown uses.
2. Create data vulnerabilities
Databases that store facial recognition data can be compromised. Hackers broke into databases containing facial scans collected and used by banks, police and defense companies.
3. Offer opportunities for fraud and other crimes
Lawbreakers can use facial recognition technology to commit crimes against innocent victims. They can collect personal information about individuals, such as images and videos collected from face scans and stored in databases, to perform impersonation. With this information, the thief could open credit cards or bank accounts in the victim’s name, or create a criminal record using the victim’s girlfriend’s ID.
4. Technology is imperfect
Face recognition isn’t perfect. For example, they are less effective at identifying women and people of color than white men. This technology relies on algorithms to match faces. These algorithms are more robust to white men than to women or people of color because the database contains more data on white men. This introduces an unintended bias into the algorithm.
5. Technology can fool you
Other factors can affect the technology’s ability to recognize people’s faces, such as camera angle, lighting levels, and image and video quality. People who disguise themselves or change their appearance slightly can also screw up facial recognition technology.
“While there are many positive results that have resulted from the use of FRT, there are various security concerns associated with its use,” Ping Identity said.
“Users and developers alike are concerned when considering this technology, as it tracks individuals who have not given their consent, violates privacy, and hackers find ways to infiltrate emerging software. attention must be paid to.”
According to Ping Identity, hackers can easily access systems and networks using undeveloped passwords containing information such as date of birth, name, and easy-to-guess phrases.
“This issue is also reflected in terms of biometrics, where an individual’s genetic data is captured. We need to consider that,” he said.
“This provides enhanced security in systems that require multiple components to be validated rather than isolated methods, minimizing the risk of attack.
“Fingerprint and voice recognition security has become easier for cybercriminals to hack. Breaking into FRT has proven more difficult, but hackers are already looking for ways to clone a person’s face. I have.”
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