Grid Layout System for Automated Audio File Correlation
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Solution Overview
Problem
Current systems for creating outputs that correlate source data files to a grid layout are inefficient, particularly in linking audio files to a choreographed routine, requiring manual generation and lacking in user-friendly automation.
Innovation Solution
A system comprising a processing unit, user input module, and video monitor that allows users to create a grid layout by correlating source data files with cells, enabling drag-and-drop functionality, voice control, and dynamic adjustment of audio file attributes, with features like error detection and overlay management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual generation of links between audio files and choreographed routine is used, then flexibility in customization is improved, but productivity and time efficiency deteriorate
Solution Approach 1:
The system automatically performs tasks that would otherwise require manual intervention. The processing unit autonomously correlates source data files to grid cells, generates output files, and manages the association between audio files and choreographed routines without requiring manual drag-and-drop operations, thereby maintaining customization while dramatically improving productivity
Solution Approach 2:
The patent replaces manual mechanical operations (physical drag-and-drop, hand-crafted linkages on paper forms) with automated electronic processing. The system uses computer-based correlation algorithms and automated file generation to substitute the manual mechanical process, achieving both speed and flexibility
2Productivity
If automated systems are introduced to improve productivity, then output creation speed is improved, but device complexity increases
Solution Approach 1:
The processing unit is designed as a multi-functional device that can correlate various types of source data files (audio files, video files, text files) to grid cells representing different media files. This universal approach consolidates multiple functions into a single system, improving productivity without proportionally increasing complexity
Solution Approach 2:
The system introduces a processing unit as an intermediary between the user and the complex task of correlating multiple data files. This intermediary automates the correlation process, managing the complexity internally while presenting a simplified interface to the user, thereby improving productivity without exposing the user to the underlying complexity
3Device complexity
If manual linkage methods are used, then system complexity is reduced, but measurement precision and correlation accuracy deteriorate
Solution Approach 1:
The system provides feedback mechanisms that allow users to review and verify the automated correlations between source data files and grid cells. This feedback loop ensures high correlation accuracy by allowing users to check the precision of automated matching while the system maintains manageable complexity through structured processing
Data Source
AI summary
A system for creating an output comprises a processing unit, a user input module operably connected to the processing unit, and a video monitor operably connected to the processing unit. The processing unit provides on the video monitor: a grid image comprising multiple cells, each cell representing a duration of time; and a selection area comprising multiple select icons, each select icon representing a source data file. The processing unit is configured such that a user can create a grid layout representing the correlation between individual selected source data files and one or more of the multiple cells. The processing unit produces the output based on the correlation.