Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2006-06-29
2011-12-20
Desire, Gregory M (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C348S143000
Reexamination Certificate
active
08081817
ABSTRACT:
Disclosed herein are systems and methods for facilitating the usage of an online workforce to remotely monitor security-sensitive sites and report potential security breaches.In some embodiments, cameras are configured to monitor critical civilian infrastructure, such as water supplies and nuclear reactors. The cameras are operatively connected to a central computer or series of computers, and images captured by the cameras are transmitted to the central computer. After initially registering with the central computer, Guardians “log on” to a central website hosted by the central computer and monitor the images, thereby earning compensation. In one embodiment, images of “no-man” zones—areas where no humans or vehicles should be present or monitored—are sent to Guardians for a simple determination of whether or not a human exists in the picture. Site owners compensate the operator of the computer system for this monitoring service, and the operator in turn compensates Guardians based on, for example, (i) the amount of time spent monitoring, and/or (ii) the degree of a given Guardian's responsiveness to real or fabricated security breaches.Among other things, systems and methods are disclosed herein for facilitating (a) the registration of monitored sites, (b) the registration of Guardians, and (c) the management of monitoring sessions, including the routing of real and fabricated images to Guardians, the rating of Guardians, and the compensation of Guardians. Many additional and alternative embodiments are contemplated, including the following example of one embodiment.
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Alderucci Dean P.
Gelman Geoffrey M.
Jorasch James A.
O'Neil Vincent M.
Tedesco Daniel E.
Baker & Botts L.L.P.
Desire Gregory M
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