- Sat Apr 06, 2013 10:10 pm
#258675
I don't know when this system might be available. The concept was proven in 2010 or earlier, and I just recently found out about it while reading an article in the 12/2010 issue of POLICE magazine. I must have skipped the article when I first got that issue in the mail, because I think this would have gotten my attention:
Here is a link to an article about AutoWitness: Kumar's anti-theft sensor steals the show.
For those who really want to read about the science involved, look here: AutoWitness: locating and tracking stolen property while tolerating GPS and radio outages. The PDF is a research paper presented at the ACM (Association for Computing Machinery) Conference on Embedded Networked Sensor Systems (SenSys 2010) in Zurich, Switzerland. I read a few pages of it last week, but finally printed it this afternoon so I can see how much of it I actually understand. (I might just skip over things like "The algorithm uses a Hidden Markov Model of city streets and Viterbi decoding to estimate the most likely path."
)
This afternoon, I emailed Dr. Kumar, and received a very quick reply inviting me to call sometime next week and discuss some questions (and maybe some ideas) I have. If anyone here has questions, let me know so I can add them to my list.
New research at The University of Memphis gives rise to new technology that largely defeats the battery/power problem. AutoWitness is a penny-sized device intended for concealment inside theft-prone items like computers. A motion-detecting accelerometer, gyroscope, and vibration sensors on the AutoWitness determine when the object is being moved, and whether the movement is characteristic of everyday activities or something new, indicating theft. The sensors also pick up on direction of movement, serving as a kind of dead reckoning positioning system.
The movements are logged internally until a pre-programmed interval has passed (so as to avoid detection) and the AutoWitness senses that there is a sufficiently strong cellular network or other RF signal suitable for transmitting its data. It works best when it is surrounded by a dedicated network of base stations intended to detect the devices and receive their transmissions. However, location detection is about 90 percent accurate when the only localization data is from cell towers. When it comes time to find the specific location of the item carrying the AutoWitness, a dedicated handheld receiver can interrogate and locate the device.
AutoWitness has the potential for some interesting moving surveillance applications. One of the most attractive aspects of this technology (which is truly remarkable and far too complex for me to address here) is that the finished product is expected to cost only $10-$20 per unit.

Here is a link to an article about AutoWitness: Kumar's anti-theft sensor steals the show.
For those who really want to read about the science involved, look here: AutoWitness: locating and tracking stolen property while tolerating GPS and radio outages. The PDF is a research paper presented at the ACM (Association for Computing Machinery) Conference on Embedded Networked Sensor Systems (SenSys 2010) in Zurich, Switzerland. I read a few pages of it last week, but finally printed it this afternoon so I can see how much of it I actually understand. (I might just skip over things like "The algorithm uses a Hidden Markov Model of city streets and Viterbi decoding to estimate the most likely path."

This afternoon, I emailed Dr. Kumar, and received a very quick reply inviting me to call sometime next week and discuss some questions (and maybe some ideas) I have. If anyone here has questions, let me know so I can add them to my list.