Asset Tag Template Creation for Accurate Information Extraction
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Solution Overview
Problem
Enterprises face challenges in accurately managing and monitoring their hardware assets throughout their lifecycles due to incomplete information gathering and maintenance, leading to risks and inefficiencies in asset usage and value optimization.
Innovation Solution
A system and method for scanning asset tags using a mobile device with a camera, which extracts information to create a database entry for asset tracking, allowing for monitoring and updating, and includes a user interface for creating and saving tag templates to facilitate the scanning process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If enterprises use traditional asset management methods with limited information gathering, then the simplicity of the management process is maintained, but the completeness and accuracy of asset information is insufficient
Solution Approach 1:
The system performs preliminary actions by capturing asset information at the point of receipt through scanning asset tags before the asset enters the management system. This preliminary data capture ensures complete information is recorded from the start, including asset details, location, and ownership, eliminating the need for later manual data entry and ensuring information completeness without requiring complex ongoing management procedures.
Solution Approach 2:
The system creates digital copies of asset information by scanning physical asset tags and converting them into structured database entries. This copying process captures all asset details accurately and transfers them to the management system, ensuring complete information retention while maintaining simple operational procedures through automated data replication rather than manual documentation.
2Measurement precision
If enterprises implement comprehensive asset tracking systems, then the accuracy of asset monitoring is improved, but the complexity of the tracking process increases
Solution Approach 1:
The system enables self-service operation where the asset tracking process automatically executes through scanning the asset tag with a mobile device. The scanning application autonomously captures asset information, creates database entries, and updates tracking records without requiring manual intervention for data entry or processing. This self-service mechanism maintains high tracking accuracy while preserving operational simplicity.
Solution Approach 2:
The system replaces manual mechanical processes of asset tracking with automated optical scanning and digital data processing. Instead of manual recording and tracking procedures, the system uses camera-based scanning to capture asset tag information and automatically processes it through software algorithms, achieving high precision tracking while eliminating complex manual operations.
3Loss of time
If manual asset information collection is used, then the system complexity is reduced, but the time required for asset registration increases
Solution Approach 1:
The system replaces manual information collection with automated optical scanning using a mobile device camera. The scanning application captures asset tag data instantly through image processing and optical recognition, eliminating the time-consuming manual data entry process. This substitution of mechanical manual operations with automated optical and digital processes dramatically reduces asset registration time while the modular architecture keeps system complexity manageable.
Solution Approach 2:
The system creates immediate digital copies of asset information through scanning, capturing all asset details in seconds rather than requiring time-consuming manual transcription. The scanning process generates structured data copies that are directly imported into the database, eliminating the time loss associated with manual information collection while maintaining operational simplicity through automated data replication.
4Productivity
If detailed asset information is collected and maintained, then the ability to optimize asset usage is improved, but the difficulty of managing and updating information increases
Solution Approach 1:
The system enables self-service information management where the scanning application automatically captures, structures, and updates asset information in the database without requiring manual intervention. The system autonomously maintains detailed asset data including ownership, location, and state information, enabling optimization decisions while keeping management simple through automated data maintenance and reduction of manual updating complexity.
Solution Approach 2:
The system implements a universal information management platform that handles multiple asset data types and management functions through a single integrated solution. The scanning system universally captures various asset information formats and the database structure accommodates diverse data types, enabling comprehensive asset optimization while simplifying management through consolidation of multiple functions into one system rather than requiring separate tools for each management task.
Data Source
AI summary
Various of the disclosed embodiments concern computer systems, methods, and programs for extracting information from an asset tag that can be used to monitor the corresponding asset. An operator, e.g., employee of an enterprise, logs into an application executed by a mobile device that includes a camera. A tag template can then be manually selected by the operator or automatically selected by the application. The tag template is used during scanning to locate and identify machine-readable elements, human-readable elements, structural elements, or some combination thereof. Once the application registers a successful scan of the asset tag, the operator can review and confirm the information was extracted correctly. Generally, the extracted information is transmitted to an asset management system, which creates a database entry that allows the asset to be continually monitored by the enterprise, e.g., each time the asset tag is subsequently scanned.