SYSTEM FOR IMAGE ANALYSIS IN A NETWORK THAT IS STRUCTURED WITH MULTIPLE LAYERS AND DIFFERENTIALLY WEIGHTED NEURONS

• US 20060239546A1
• Filed: 06/29/2006
• Published: 10/26/2006
• Est. Priority Date: 02/26/2003
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Jorasch, James A., Tedesco, Daniel E., Tulley, Stephen C., Gelman, Geoffrey M., Alderucci, Dean P., Walker, Jay S., O'Neil, Vincent M.
• Granted Patent: US 8,081,817 B2
• Time in Patent Office: Days
• US Class Current: 382/159
• CPC Class Codes: A61P 29/00 Non-central analgesic, antipyretic or antiinflammatory agents, e.g. antirheumatic agents; Non-steroidal antiinflammatory drugs [NSAID]
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06F 16/5854 using shape and object relationship
• CPC Class Codes: G08B 13/19641 Multiple cameras having overlapping views on a single scene
• CPC Class Codes: G08B 13/19656 Network used to communicate with a camera, e.g. WAN, LAN, Internet
• CPC Class Codes: G08B 13/19663 Surveillance related processing done local to the camera
• CPC Class Codes: G08B 13/19673 Addition of time stamp, i.e. time metadata, to video stream
• CPC Class Codes: G08B 13/1968 Interfaces for setting up or customising the system
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

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.

Claims

1. An apparatus comprising:

a plurality of image capture devices, each of which is configured to capture images and to transmit captured images;

a node in communication with the image capture devices, in which the node is configured to;

receive the captured images;

store the captured image;

associate each captured image with a respective location based on its respective image capture device;

select at least one neuron;

transmit a first captured image to the at least one neuron;

receive a result from the at least one neuron;

determine whether the result indicates that a human is present in the first captured image;

select at least one additional neuron based on whether the result indicates that a human is present in the first captured image;

transmit the first captured image to the at least one additional neurons;

receive at least one additional result from the at least one additional neuron;

determine whether the at least one additional result indicates that a human is present in the first captured image;

determine an alarm condition based on the at least one additional result.

2-14. -14. (canceled)