haha, reminds me if this: http://hackaday.com/2008/12/31/laughing-man-in-processing/ and one other hack I’ve seen on this site.

What would be fun is if you could insert this into the encoding component of a DVR based security system before it’s saved to disk/offsite.

Thanks for posting us! Did my best to prepare for server armageddon on this one, but if there are any questions about the app just drop me an email or twitter reply (abyssknight).

Tetsu (the one responsible for the Ghost in the Shell references) and myself are members of FAMiLab, the Orlando, FL based hackerspace. One of our other members borrowed the IP camera we’re using and mounted it to the ceiling for us. We’re planning a few more upgrades to the system, but we’re pretty happy with the results thus far.

If you’re in the area be sure to check out the lab. I’ll be updating the post later today with additional information about the project and our plans.

We had it doing panoramas too for a while, but face detection was way worse on warped faces.

ex: http://i.imgur.com/NQSLW.jpg

Hahahaha, The laughing man logo! I’ve always dreamed to do that :D

Reminds me of the Punisher 2099 comic. Frank Castle was a cop, but in his day, only paying customers get police service, and is is constantly kicking the crap out of lawful (ie: paying customers) mobsters. He has a nice, pixel skull to hide his face.

So this hack is only 89 years early. Cool.

Simplest way to detect face is in Perl:
use Image::ObjectDetect;

https://kyberia.sk/id/5300190

@_matt

They are probably using the haarcascade_frontalface_default.xml or haarcascade_frontalface_alt.xml classifiers that come with opencv to avoid their own training.

Sweet. All we need now is prosthetics and implants to get advanced enough to be hacked remotely.

I was just thinking that someone should be or would be working on thisd, and lo and behold, someone has!

I haven’t looked at the details yet, but my idea was to use a combination of Processing and / or ARToolKit along with a hat and a code to cause the image to come up when the code was seen by a Web cam.