Posted on 04/11/2015 11:23:21 AM PDT by BenLurkin
Like similar biometric technologies fingerprint or facial recognition systems the Carnegie Mellon project uses mathematical pattern-recognition techniques. The technology captures images from a live photographic or video feed and runs them through a database to find a potential match.
Like fingerprints, every iris is unique thanks to enormously complex patterns that remain the same throughout a persons lifetime. High-resolution cameras can capture images of the iris from a distance using light in the near-infrared wavelength band.
In the realm of law enforcement, iris recognition could be used to identify suspects at long range in various lighting conditions. The system can even be used to capture images through reflections in a mirror.
The CMU team recently posted a video successfully testing the system in a typical traffic stop scenario. Using the long-range iris scanner, the system was able to identify the driver of a vehicle by capturing an image of the eye via the side-view mirror. You can see the results below.
(Excerpt) Read more at news.discovery.com ...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3116568/
Conclusions:
The protein of eye lens is very sensitive to IR radiation which is hazardous and may lead to cataract.
How quickly will sunglasses and contacts be created and marketed that blocks these scans?
They don’t need to use iris scanning, biometric scanning can determine from the shape of your head.
Facebook now suggests tagging (or even autotags) people in uploaded photos (it IDs the person and asks if you want to tag them).
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