AI Voice Label Printing for Natural Language Interpretation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing label printing systems fail to accurately and flexibly interpret voice commands due to limitations in rule-based algorithms, leading to errors and resource-intensive rule development, especially when handling variations in natural language.
Innovation Solution
A label printing system utilizing an AI model with transformer-based language capabilities, combined with a pre-processing module for transcription refinement and customizable replacement rules, to interpret voice inputs and generate accurate label designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If rule-based algorithms are used to interpret voice commands, then the system structure is simple and easy to implement, but the system becomes rigid and prone to errors when handling variations in natural language
Solution Approach 1:
The patent replaces rule-based algorithms (mechanical system) with machine learning models that can naturally interpret and adapt to variations in spoken language. The machine learning model learns patterns from training data and generalizes to handle diverse natural language inputs without requiring explicit programming for each scenario.
2Adaptability or versatility
If comprehensive rule-based systems are developed to handle all label design scenarios, then the system becomes more versatile, but the development and maintenance becomes resource-intensive
Solution Approach 1:
The patent changes the fundamental parameter of the system from rule-based logic to machine learning-based pattern recognition. This allows the system to handle comprehensive label design scenarios through training on diverse data, eliminating the need for manual rule creation and maintenance while maintaining versatility.
3Ease of manufacture
If predefined voice commands are used for label printing, then the system is easy to implement, but it becomes complex and less intuitive as the range of instructions expands
Solution Approach 1:
The patent replaces the mechanical system of predefined voice commands with a machine learning-based natural language interpretation system. This allows users to speak intuitively without being constrained by predefined command structures, while the system automatically understands and processes the intended meaning.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
In a label printing system that is configured for voice-activated label printing, a computing device includes a label printing module and a transcription module that generates a text transcription of voice input that includes spoken instructions for a label to be printed. The label printing system also includes a label intent module that generates a set of prompts for an Al model based on the text transcription. The set of prompts is structured to cause the Al model to interpret the text transcription and generate a data structure for printing the label. The label intent module provides the set of prompts to the Al model and receives the data structure from the Al model. The data structure includes label content and formatting instructions. The data structure is provided to the label printing module, which uses the data structure to cause the label to be printed on the printing device.