Gegen Gesichtserkennung

Aufgrund des Umfanges und des nötigen technischen Hintergrundwissens kann ich diese Abhandlung ersteinmal nicht für die werte Leserschaft übersetzen, aber möchte die chinesische Forschungsarbeit und zugehörigen Abbildungen auch niemandem vorenthalten. Ganz nach dem Motto: was man hat, das hat man. Nicht wahr?

Zudem möchte ich darauf hinweisen, daß es inzwischen neue reflektierende Materialien gibt, Metallpulver zum Beispiel, die ebenfalls Gesichtserkennungstechniken beeinflussen können. Es lohnt für den modebewußten Aluhutträger und die modebewußte Aluhutträgerin, sich ein wenig kundig zu machen.

Das Problem mit Infrarotreflektoren ist, daß man sehr leicht einen IR Filter vor die Kameralinse installieren kann, so daß der Störfaktor eliminiert wird und die Gesichtserkennung trotzdem funktioniert.

und hier noch ein link . Dort sieht man auch den Nachteil, von vielen Infrarot Reflektoren: das Gesicht strahlt wie Jesus nach der Wiederauferstehung und lenkt den Verdacht auf einen.

die Brille nennt sich GHOST reflective eyewear.

These glasses trick facial recognition software into thinking you’re someone else

Facial recognition software has become increasingly common in recent years. Facebook uses it to tag your photos; the FBI has a massive facial recognition database spanning hundreds of millions of images; and in New York, there are even plans to add smart, facial recognition surveillance cameras to every bridge and tunnel. But while these systems seem inescapable, the technology that underpins them is far from infallible. In fact, it can be beat with a pair of psychedelic-looking glasses that cost just $0.22.

Researchers from Carnegie Mellon University have shown that specially designed spectacle frames can fool even state-of-the-art facial recognition software. Not only can the glasses make the wearer essentially disappear to such automated systems, it can even trick them into thinking you’re someone else. By tweaking the patterns printed on the glasses, scientists were able to assume one another’s identities or make the software think they were looking at celebrities. (In the image at the top of the article, you can see the researchers wearing the glasses in the top row of pictures, and the identity they copied in the bottom row.)

It takes a lot less to trick machines than trick people

The glasses work because they exploit the way machines understand faces. Facial recognition software is often powered by deep learning; systems that crunch through large amounts of data to sift out recurring patterns. In terms of recognizing faces, this could mean measuring the distance between an individual’s pupils, for example, or looking at the slant of their eyebrows or nostrils.

But compared to human comprehension, this analysis takes place at an abstract level. Computer systems don’t understand faces in the way we do; they’re simply looking for patterns of pixels. If you know what patterns are being looked for, you can easily trick machine vision systems into seeing animals, people, and objects in what are just abstract patterns. This is exactly what the researchers from Carnegie Mellon did…..

There are obvious limitations to this system. For a start, although the glasses are a more subtle disguise than wearing a mask or using, say, CV Dazzle (a form of bold makeup that also confuses facial recognition systems), they’re hardly inconspicuous. There’s also the problem of how and where the image is taken: the researchers didn’t test how well the glasses worked at a distance, for example, or in different lighting conditions……


A thin film of tin dioxide or silver on glass reflects infrared, but allows most of the visible light. I would start there with coated sunglasses.

There should be some effective ways to use wire mesh to reflect or disrupt an infrared sensor. Anything that conducts electricity also blocks and disrupts IR

There is already a small infra illuminator on the market that attaches to the bill of a baseball cap that will radiate a kaleidoscope of IR on your face which will really mess up any IR sensor, but is invisible to the human eye.

I think the key will be disguising the eyes and mouth to defeat facial ID and infrared disguise and disruption will be a key component.


If the camera maker installs an IR block filter in front of the imaging sensor then the spoofed IR light will not confuse the detection algorithm.


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