This video is a visualization of eight days worth of locational data
collected by Oakland's automatic license plate readers (ALPRs), which
was released to the Electronic Frontier Foundation under the California
Public Records Act.
Each red dot is a license plate being captured by a
camera mounted to an Oakland Police vehicle.
The video compiles this
collection into 10-minute increments.
Visit https://eff.org/r.4vsb for the accompanying blog post.
The music in this video is "The Birth of Yellow" by Oakland-based musician The Polish Ambassador (http://thepolishambassador.com/).
It is licensed under Creative Commons Attribution-NonCommercial-ShareAlike.
The
map of Oakland (© OpenStreetMap contributors) is part of the
OpenStreetMap project and is licensed under Creative Commons
Attribution-ShareAlike.
For more information visit http://www.openstreetmap.org/copyright.
One Man's solution "Photo Blocker Spray."
http://www.washingtonpost.com/wp-dyn/articles/A222-2004Jul20_2.html
[Computer scientists have created a way of letting law enforcement tap any camera that isn't password protected
so they can determine where to send help or how to respond to a crime.]
The system, which is just a proof of concept, alarms privacy advocates
who worry that prudent surveillance could easily lead to government
overreach, or worse, unauthorized use.
It relies upon two tools developed independently at Purdue.
The Visual Analytics Law Enforcement Toolkit superimposes the rate and
location of crimes and the location of police surveillance cameras.
CAM2
reveals the location and orientation of public network cameras, like
the one outside your apartment.
You could do the same thing with a
search engine like Shodan, but CAM2 makes the job far easier, which is
the scary part.
Aggregating all these individual feeds makes it
potentially much more invasive.
[Purdue limits access to registered
users, and the terms of service for CAM2 state "you agree not to use the
platform to determine the identity of any specific individuals
contained in any video or video stream."
A reasonable step to ensure
privacy, but difficult to enforce (though the team promises the system
will have strict security if it ever goes online).
Beyond the specter of
universal government surveillance lies the risk of someone hacking the
system.]
EFF discovered that anyone could access more than 100 "secure" automated license plate readers last year.
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