Now, here is something different - and scary, if you happen to be stoned and misbehave - that I expect to show up in web cams in a few years.
"The problem with video surveillance cameras is that, usually, there are too many of them for one security staffer to monitor.
'To be honest, it's sheer luck if a security officer spots something in an environment like that,' says John Frazzini, a former U.S. Secret Service agent and IT security consultant.
Frazzini recently signed on to serve as president of a new company -- Behavioral Recognition Systems, or BRS Labs for short -- that aims to stop that waste.
Unlike current video surveillance gear -- which requires a human to monitor it or complex programming that can't adapt to new images -- BRS Labs's software can 'learn' the behavior of objects and images in a camera's field of view, Frazzini says.
'It works a lot like the behavioral software that many IT people use on their networks,' Frazzini says.
The BRS Labs software can establish a baseline in anywhere from 30 minutes to several hours, depending on how much activity the camera recognizes and how regular the patterns of behavior are.
Once the software is operational, it can "recognize" up to 300 objects and establish a baseline of activity.
'The great thing about it is that you don't need a human to monitor the camera at all,' Frazzini says.
Because there are so many possible images that might cross in front of the camera, the BRS Labs technology will likely create a fair number of false positives, Frazzini concedes.
Overall, however, the new technology should save money,because security officers can spend their time diagnosing alerts and less time watching their screens for anomalies.
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