Face recognition can help identify animals, fill in labour gaps, and even stop the spread of disease.

His death should mark an important shift in internet security, where his greatest contribution may well end up being left in the dust.

Here’s a proven solution to provide 100% verification at every step of the ticket process, from purchase to resale.

What if there was a way to let shoppers breeze out of stores without having to wait in line?

Today’s 3D face recognition technology can check on a driver’s alertness, where their eyes are focused - and all in real time.

We are at a tipping point when it comes to being able to deliver fast and secure mobile authentication.

What role will the IoT actually play in the modern smart city?

Too many tech solutions are based on the belief that the size of the database is the determining factor for delivering value. But in fact, it is quality not quantity that enables today’s algorithms to really provide benefit.

What is the next leap forward in automotive technology?

2018 is sure to be a banner year for hackers and cybersecurity providers alike.

It’s time to get our crystal balls out and look at what the next 12 months will bring.

Using Apple Pay on a hackable phone is like leaving your wallet inside your unlocked car and expecting everything to be fine.

Not all face recognition works in all lighting…

Apple’s Face ID feature is a bit underwhelming – which is great news for other handset manufacturers who may be able to capitalize on what appears to a rare misstep by Apple.

Everyone else who makes mobile phones is going to scramble to follow Apple’s example…just like they do every time Cupertino launches the Next Big Thing. Fortunately, SensibleVision has you covered…

We have a come a long way. But we are about to take another leap forward…

Banks need to develop a future-proof authentication strategy to keep unauthorized users out — SensibleVision has the answer.

Literally all of the ways that clever hackers have used to sneak past existing biometric tools won’t work in three dimensions.

Most of the device makers are so focused on the selfies, portraits, or measuring a room that they aren’t thinking about security. But we are.

Poor security protocols erode customer confidence, but measures to protect personal information can be just as bad. So what is the best way to juggle these seemingly incompatible needs?

SensibleVision has created a novel approach to protect computers and mobile devices: combine face recognition with other authentication tools.

History teaches us that with any innovative technology it takes time for standards and policies to be established before it truly goes mainstream.

Ultimately, biometrics have the potential to provide much more seure access to sensitive information than conventional passwords, which can be easily forgotten, lost or hacked.

This is what security looked like during prohibition in the 1920s. But we’ve come a long way since then, and passwords are about as relevant as flapper dresses and flagpole sitting.

It is clear that fraud has consequences that run deeper than just financial implications…

In the relentless battle between hackers and businesses trying to protect their proprietary data, it’s become obvious that passwords are inadequate to provide secure identification.

It is possible to provide face authentication solutions that address this vulnerability while maintaining the convenience and fun that face authentication/recognition offers.

Recent nude celebrity photo hacks are getting lots of press — what if we ALL had better security, ALL the time?

All of the usernames and passwords you store in your FastAccess Cloud Account always were and continue to remain safe.

TV and movies always seem to show face recognition, fingerprints, retina scans, and other biometrics to be perfectly accurate. In real life, they can be very accurate, but perfection is a funny thing…

Facebook’s initial usage of face recognition did not require user consent for the recognition and tagging to take place, they simply had to be using Facebook itself — and Facebook owned and controlled the resulting data.