Remote Video Platform for Data Center Asset Privacy Control
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Solution Overview
Problem
In multi-tenant data centers, existing solutions fail to effectively obscure non-customer assets from customer views, leading to potential security breaches and privacy concerns, as customers can inadvertently or intentionally view assets outside their designated spaces.
Innovation Solution
A remote video platform that employs augmented reality privacy controls to segment the environment, using extended reality privacy walls to occlude non-customer spaces in video feeds, ensuring customers can only view their authorized assets while preventing access to others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If customers are allowed to remotely view assets in a data center facility, then asset monitoring capability is improved, but security and privacy are worsened because customers can inadvertently or intentionally view assets outside their designated spaces
Solution Approach 1:
The system introduces a video processing platform as an intermediary between the customer's viewing device and the data center environment. This platform captures video feeds from multiple cameras and applies computational privacy controls (such as occlusion masks and boundary enforcement) to filter out unauthorized assets before transmitting the video stream to the customer. The intermediary layer enables remote monitoring while blocking access to sensitive areas through software-based privacy controls.
Solution Approach 2:
The system dynamically modifies video stream parameters based on customer authorization levels. By adjusting visibility parameters such as field-of-view boundaries, occlusion transparency, and asset identification filtering, the system transforms a single unified video feed into customized streams that reveal only authorized portions of the data center environment to each customer.
2Object-affected harmful factors
If physical barriers are installed to separate customer spaces, then privacy is improved, but device complexity and cost are worsened
Solution Approach 1:
The system replaces physical partition walls and barriers with computational privacy controls implemented through software. Instead of installing opaque physical dividers between customer spaces, the system uses video processing algorithms that selectively occlude or blur assets outside authorized boundaries in the digital video stream, achieving privacy separation through information filtering rather than physical obstruction.
Solution Approach 2:
The system creates virtual copies of physical boundaries by mapping customer space boundaries onto the video feed. Digital boundary lines and occlusion masks are overlaid on the video stream to replicate the effect of physical walls, allowing customers to perceive spatial separation and privacy without actual physical structures dividing the facility.
Data Source
AI summary
A method includes obtaining, by a remote video platform, location data for an extended reality privacy control for visually segmenting an environment within a remote asset facility into a customer space comprising customer assets for a customer and a non-customer space, receiving, by the remote video platform, first video data representing the environment within the remote asset facility, augmenting, by the remote video platform based on the location data for the extended reality privacy control, the first video data with the extended reality privacy control to generate second video data having at least a portion of the non-customer space occluded with the extended reality privacy control, and outputting, by the remote video platform, the second video data for display at a display device.