Image-Based Map Generation for Data Center Server Location
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Solution Overview
Problem
Managing large data centers is challenging due to the difficulty in locating specific servers that require servicing, as multiple active LEDs can confuse servicers and existing methods are not efficient for navigating within such environments.
Innovation Solution
A system and method for generating a map of an environment based on captured images, where a computing device captures images, identifies references, and generates a map to orient itself within the environment, allowing for the presentation of indicators for locating specific servers or objects through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple LEDs of different colors are activated on servers to indicate service status, then servers requiring service can be identified, but it becomes difficult to locate a particular server when many servers need servicing simultaneously
Solution Approach 1:
The patent introduces a computing device with a camera and processing system as an intermediary between the servers and the servicer. Instead of directly observing multiple LED lights, the servicer uses the computing device to capture images, generate a map of the data center environment, and locate the target server through image processing and reference matching. This intermediary system consolidates multiple server status indications into a single manageable interface.
Solution Approach 2:
The patent creates a digital copy or map representation of the physical data center environment. By capturing images and generating a map that represents the actual layout and server positions, the system allows the servicer to locate servers through the digital map rather than physically searching through rows of servers with multiple activated LEDs. The map serves as a simplified copy that makes location identification easier.
2Productivity
If a map of the environment is generated based on captured images to orient the computing device, then navigation efficiency is improved, but additional processing time and computational resources are required
Solution Approach 1:
The patent performs preliminary actions by capturing images and generating the environment map in advance, before the actual server location task begins. Once the map is generated, it can be reused for multiple server location queries without regenerating it each time. This preliminary map creation reduces the time required for subsequent navigation tasks, as the computational overhead is amortized over multiple uses.
Solution Approach 2:
The patent replaces manual navigation and visual searching with an automated image processing and computer vision system. The computing device automatically captures images, processes them to generate maps, and identifies server locations through algorithmic analysis rather than human visual inspection. This substitution of mechanical/manual processes with automated computational processes improves efficiency despite the initial computational time investment.
Data Source
AI summary
Systems and methods for map generation for an environment based on captured images are disclosed. According to an aspect, a method includes capturing a first image of an environment. The method also includes identifying a reference in the first image. Further, the method includes generating, based on the identified reference, a map of the environment to use for physically orienting a computing device within the environment based on a second image including the reference.