IT Asset Location Using Visual Detectors
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Solution Overview
Problem
Current methods for tracking IT assets in data centers, such as using RFID tags, are labor-intensive, costly, and prone to human error, leading to outdated location information.
Innovation Solution
A method utilizing visual detectors to identify the location of IT assets by capturing images of visual output patterns on the assets, such as LEDs, and correlating them with asset management systems, eliminating the need for additional hardware like RFID tags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual RFID scanning is used to track IT assets, then location information can be obtained, but labor costs and time consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical scanning operations with an automated optical detection system. Image capture devices automatically detect visual output patterns (LEDs) on IT assets, eliminating the need for manual RFID scanning. The system processes images and determines asset locations automatically, substituting human labor with automated optical-mechanical systems.
Solution Approach 2:
The system enables self-service tracking where IT assets automatically display their location information through visual output patterns that can be detected without human intervention. The assets essentially serve themselves by providing visual identifiers that the automated system can read, eliminating the need for external manual scanning operations.
2Reliability
If manual RFID scanning is used to track IT assets, then location data can be collected, but human error increases and data accuracy decreases
Solution Approach 1:
The patent replaces manual operations prone to human error with automated image capture and processing systems. The automated system consistently detects visual output patterns without fatigue or distraction, eliminating human error sources while maintaining operational simplicity through automated workflows.
Solution Approach 2:
The system creates visual copies (images) of the visual output patterns displayed on IT assets. By capturing and processing these visual copies, the system achieves accurate location tracking without requiring direct manual interaction with physical assets, thereby improving reliability while maintaining ease of operation.
3Extent of automation
If RFID tags are attached to all IT assets, then location tracking becomes possible, but material costs and system complexity increase
Solution Approach 1:
The patent leverages the universal visual output elements (LEDs) that already exist on IT assets for multiple purposes. These LEDs originally serve operational status functions but are repurposed to encode location information. This multi-functionality eliminates the need for dedicated RFID tags or additional identification hardware, reducing system complexity while maintaining automated tracking capabilities.
Solution Approach 2:
The system utilizes the IT assets' own visual output elements to provide location identification without requiring external tagging hardware. The assets essentially identify themselves using their existing visual interfaces, eliminating the need for additional RFID tags or identification devices, thereby reducing material costs and system complexity.
4Productivity
If manual tracking methods are used, then initial setup is simple, but ongoing maintenance and updates require significant labor
Solution Approach 1:
The patent replaces manual tracking operations with automated image capture and processing systems that continuously monitor and update asset locations. This substitution dramatically improves tracking efficiency by eliminating the need for ongoing manual scanning and data updates, while the automated nature of the system maintains implementation simplicity through standardized workflows.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides accurate, automated, and cost-effective tracking of IT assets, reducing labor costs and minimizing human error, while maintaining up-to-date location information.
Implementation Method 1
capturing at least one image of a target physical asset using an image capture device. The at least one image comprises a current state of the one or more visual output elements of the target physical asset
Data Source
AI summary
Mechanisms are provided for determining the physical location of a physical asset in a physical area. A plurality of physical assets are controlled to cause each physical asset to output a visual output pattern on visual output elements of the physical asset. An image of a target physical asset is captured that has the current state of the visual output elements. An identification of the target physical asset is determined based on the current state of the visual output elements. A physical location of the target physical asset is determined based on a physical location of the image capture device when the image was captured. Location data identifying the determined physical location of the target physical asset is stored in an asset database in association with configuration information for the physical asset.