Protecting Privacy And Anonymity By Using Facial Recognition Security

Contrary to popular belief that pictures and images do not contain any information other than the subject captured it has been proven beyond a reasonable doubt that the images can also be misused by extracting valuable biometric information from images and videos. Facial recognition security is already being used in sensitive government organizations such as airports and law enforcement agencies. This is a modern way of securing and recognizing a human face without physical contact. The facial recognition blocker utilizes many algorithms to match the facial nodes of an individual or images that may be stored in a database.

Facial recognition security is considered safe on most occasions especially when the image of the face being considered is that of a white individual because according to a report published by the New York Times errors of up to 35% were noticed when the software was tested on images of darker women. Therefore despite being a better solution for identifying men and women improvements still need to be made to ensure the results provided by the software are accurate.

Facial recognition security is now being deployed by many companies to help target product pitches based on pictures taken from social media profiles. Companies are also experimenting with face recognition software and other types of AI technology as an ingredient in automated decisions particularly for tasks such as hiring and lending. Under the circumstances, can it be assumed that this technology is only beneficial when it is being used on people with lighter skins? Improvements may still be needed with the technology because it would otherwise be considered as a racial method of segregating people according to the color of their skin.

One-on-one authentication is still possible despite the errors observed by researchers which confirmed that the technology was better used on white-skinned people. However, companies like de-identification Ltd have developed a system which can protect biometric databases by leveraging the same core technology. It is compatible with any facial recognition engine to allow for reliable face authentication without compromising privacy or using actual sensitive biometric data.

The solution developed by D-ID can keep leaked and stolen facial images safe at all times to lower the risk to privacy because identities cannot be matched to a protected photo. The facial recognition blocker ensures that it is impossible to revert to the original image after it has been safeguarded with the help of facial recognition security. The solution provider does not enroll a genuine identifiable image but stores an image or representation with unique encrypted instructions to function as a facial recognition blocker. When facial authentication is needed the matching is performed between the stored protected image or representation along with the freshly captured image. The authentication is only confirmed after both the D identified templates are matched.

D-ID is providing a secure face authentication solution which has been accepted as the best available in the market. The solution provider is using algorithms that even major search engines haven’t been able to master making it ideal for government organizations, access control, financial departments, and many other businesses. Implementing the solution developed by D-ID ensures compliance with GDPR along with other privacy regulations because no personally identifiable information is stored on facial images.

Reading through information about how facial images contain biometric data that can be stolen by thieves to be used for committing crimes can make people fearful about whether they should be withdrawing their images from social media sites and any other places where they may have posted the same. This will be an individual decision because facial recognition is identified as a threat to privacy. How dreadful facial recognition can have already been proved by the FaceApp scandal which is capturing images from social media sites to use them differently. It would have been difficult for this platform to begin using the images if they had already been encrypted by the solution developed by D-ID which would have encrypted the images making them unrecognizable even my advanced engines being adopted by social media sites.

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Facial Recognition Security