Digital Asset Map Generation Using Automated Traversal
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Solution Overview
Problem
Independent examination processes, such as audits, are often time-consuming and labor-intensive, involving complex and inexact methods with fragmented technical elements, which hinder efficient digital asset management.
Innovation Solution
An apparatus and method for digital asset map generation using a processor and memory to receive a digital collection, identify unique digital assets, traverse them, and generate a digital asset map, incorporating machine-learning processes to link assets and user operations, facilitating efficient digital asset management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional independent examination processes are used, then thorough analysis of digital assets can be achieved, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical examination processes with automated computational systems. The processor automatically receives digital collections, identifies digital assets, traverses them, and generates digital asset maps without human intervention, thereby maintaining analysis thoroughness while dramatically reducing examination time and labor requirements.
Solution Approach 2:
The system enables self-service examination where the digital asset management apparatus autonomously performs the entire examination workflow. The processor independently executes asset identification, traversal, and map generation tasks, eliminating the need for human examiners and reducing both time consumption and labor intensity while preserving analytical completeness.
2Measurement precision
If manual identification and analysis of digital assets are performed, then detailed examination can be conducted, but the process becomes labor-intensive and complex
Solution Approach 1:
The patent segments the complex examination process into distinct automated modules: digital collection reception, digital asset identification, asset traversal, and digital asset map generation. Each module is handled by the processor as a separate function, reducing process complexity while maintaining identification accuracy through systematic automated handling of each segment.
Solution Approach 2:
The patent replaces manual labor-intensive identification and analysis processes with automated computational mechanisms. The processor systematically identifies digital assets, traverses their structures, and generates organized maps, thereby maintaining detailed examination accuracy while eliminating the complexity and labor intensity associated with manual processes.
3Reliability
If comprehensive digital asset examination is performed manually, then complete asset mapping can be achieved, but the method becomes inexact and labor-intensive
Solution Approach 1:
The patent replaces manual examination methods with automated processor-driven operations that receive digital collections, identify assets, traverse them systematically, and generate complete digital asset maps. This substitution ensures mapping completeness through thorough automated traversal while dramatically simplifying operation and eliminating the inexactness associated with manual processes.
Solution Approach 2:
The system performs self-service comprehensive examination where the processor autonomously executes the complete asset mapping workflow without human intervention. The automated traversal and map generation ensure complete and reliable asset mapping while making the operation simple and eliminating the labor-intensive nature of manual comprehensive examinations.
Data Source
AI summary
An apparatus for digital asset map generation includes at least one processor and a memory communicatively connected to the at least one processor, wherein the memory contains instructions configuring the at least one processor to receive a digital collection from an entity, identify a plurality of digital asset from the digital collection, traverse the plurality of digital assets identified from the digital collection, determine at least one unique object within the plurality of digital assets as a function of the traversal, and generate a digital asset map as a function of the at least one unique object.