As face authentication systems continue to improve, their use is becoming more and more widespread, from catching your next flight to the smartphone in your pocket. According to a report by the National Institute for Standards and Technology (NIST), the best face authentication algorithms now have an error rate of less than 0.2 percent, far better than human performance. However, face authentication technology on its own isn’t foolproof. In order to thwart malicious actors and bolster security, many organizations have taken to using face authentication with liveness detection. But what is liveness detection exactly, and how does liveness detection for facial authentication work?
Facial recognition is often seen in a bad light due to our fear of Orwellian surveillance states. But facial recognition – when used for the public good especially in the form of facial authentication – can bring numerous benefits. Because while facial recognition certainly can be employed in some shady ways, facial authentication actually increases individual security rather than decreases it.
Facial authentication is a great way to protect virtual content.But like all security features, it too has some dangerous loopholes.
When a person gains access to a secure building, sensitive data, or vast sums of corporate finance via facial authentication, how do you know they are who they say they are – for sure?
Facial authentication has more uses than just simple biometrics. Businesses and the public sector are seeing its value and potential, which the public supports overall with some limits.
Facial recognition is currently enjoying a very bad name for fear of a surveillance state. Mass facial recognition indeed means governments can potentially know where everyone is, all the time. Facial recognition answers the question “who are you?” by comparing your biometrical facial features with a neural network, potentially created by a machine learning algorithm that have created hashes from every face on Earth. Facebook has most of our faces on file.