Remote Security Monitoring via Weighted Neural Image Analysis
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Solution Overview
Problem
There is a pressing need for systems and methods to combat terrorism, particularly in protecting vulnerable critical infrastructure sites that are often unguarded and lack access control, as they are cost-prohibitive to secure and pose a significant threat due to their proximity to potential targets.
Innovation Solution
A network system utilizing image capture devices and neurons with differential weighting to process and analyze images, where sensors communicate with an image processing and distribution node, and neurons evaluate images to detect potential security threats, with a feedback mechanism to adjust weights and enhance accuracy, allowing for remote monitoring and alerting of security breaches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If on-site guards are deployed to protect critical infrastructure sites, then security reliability is improved, but operational costs increase significantly
Solution Approach 1:
The patent replaces the mechanical system of human guards with an automated image capture and analysis system. Image capture devices continuously monitor critical infrastructure sites, and neurons with differential weighting automatically analyze the images to detect threats, eliminating the need for expensive on-site human security personnel while maintaining or improving security reliability.
Solution Approach 2:
The system enables self-service security monitoring where the image analysis system autonomously detects and alerts security breaches without human intervention. The neurons automatically process images, identify threats based on weighted evaluation criteria, and trigger alerts, allowing the system to serve itself in monitoring and reporting security conditions.
2Reliability
If multiple image capture devices are deployed to improve monitoring coverage, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple image capture devices into a unified monitoring system that shares common neural processing resources. Instead of having separate analysis systems for each device, multiple image capture devices feed into a shared pool of neurons with differential weighting, consolidating processing functionality and reducing overall system complexity while maintaining enhanced detection reliability through multiple viewing angles and coverage.
Data Source
AI summary
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.