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Facial Recognition Door Lock and Time Clock for Less than $500

by Aaron Saenz December 29th, 2009 | Comments (8)

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Forgot to punch your time clock? Don't worry, your face did it for you.

Forgot to punch your time clock? Don't worry, your face did it for you.

Ditch the keys and throw away the time cards, now all you need is your face. Wholesale electronics giant Chinavision is offering a facial recognition door lock for around $465. The device uses two night vision equipped cameras to recognize up to 500 faces from 2D photographs, and transmit information via USB or ethernet port. Once it recognizes someone the facial recognition system can unlock a door and/or record the arrival of an individual (up to 150,000 such records can be stored). Chinavision is promoting the device as a replacement for time clocks at businesses, able to record access to restricted areas or keep track of employee attendance. It’s not clear how easy it is to defeat this device, so I wouldn’t wire it to your front door just yet. Still, if cheap facial recognition proves itself, we could see it replacing traditional locks in the year ahead. Check out more photos of the facial recognition door lock after the break.

Facial Recognition (FR) technology is already in use in government run security checks. While FR seems well suited to surveillance and restricting access, we’ve also recently seen it gain popularity on Facebook as a way to augment social networking. Right now, I certainly trust it more in the latter than I do the former. FR checks are only as good as the original images with which they are calibrated. London airports (and others) are often comparing against passport photos. The device from Chinavision also uses 2D images. While using two cameras and applying some careful stereography will keep FR from being tricked by a photo cut out from a magazine, the technique is far from fool proof. If facial recognition gains popularity, we may see a push for ID cards to contain 3D scans of our features to provide extra security. Still, while humans naturally focus on faces, other biometrics (finger prints, ear scans) may be a better avenue for tracking our identity. It’s still unclear which kinds of scans, or combinations of them, will form the security check of the future, but you can bet it will involve using your body as its own ID. Carrying around strangely shaped pieces of metal can’t last forever.

Two cameras compare your face to a 3D object developed from a stored 2D image.

Two cameras compare your face to a 3D object developed from a stored 2D image.

Not a bad package for less than $500.

Not a bad package for less than $500.

[photo credits: Chinavision]


 

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  • User Picture

    I wonder how close do I look to my 10 year old passport picture after a 12 hours nightly flight. Let’s hope FR takes aging and sleep deprivation into account.

  • User Picture

    I wonder how close do I look to my 10 year old passport picture after a 12 hours nightly flight. Let’s hope FR takes aging and sleep deprivation into account.

  • User Picture

    What will happen if a photograph is held before the lens?

  • User Picture

    What will happen if a photograph is held before the lens?

  • User Picture

    For big organization it is a killer package. But can the device recognized very similar facial like twins.


    • At less than $500 clearly price is no longer an issue for this technology. As you point out, its that last 1% of cases, such as twins, where the technology will probably fail right now. For regular security situations, such as the home, I imagine this technology is fast approaching feasibility. For high security government applications, making mistakes on twins is probably a big problem. Although in those situations, ideally another signal such as a fingerprint is also used to bolster security

  • User Picture

    For big organization it is a killer package. But can the device recognized very similar facial like twins.

    • User Picture

      At less than $500 clearly price is no longer an issue for this technology. As you point out, its that last 1% of cases, such as twins, where the technology will probably fail right now. For regular security situations, such as the home, I imagine this technology is fast approaching feasibility. For high security government applications, making mistakes on twins is probably a big problem. Although in those situations, ideally another signal such as a fingerprint is also used to bolster security

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