Voice-Assisted Defect Logging for Glove-Based Quality Inspection

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Solution Overview

Problem

Current methods for logging defects during quality inspection in industries, such as paint shops, are time-consuming and cumbersome, often requiring handwritten notes or digital diaries, which become difficult to share across units and can involve additional overhead due to the use of gloves in sensitive inspections.

Innovation Solution

A voice-assisted defect logging system that integrates a voice-to-text conversion model with a large language model and a domain model to identify defect type, location, and sub-section, allowing real-time logging and verification in 2D/3D views, and marking defects as resolved during repair or rework.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If handwritten notes or digital diaries are used for logging defects, then defect recording is possible, but the process is time-consuming and labor-intensive

Engineering Contradiction:

Improveinspection speedVSAvoidtime for defect logging

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical writing actions with automated voice-to-text conversion. Inspectors speak defect information into a microphone, and the system automatically transcribes and logs it, eliminating the need for manual writing or typing during inspection.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service by automatically processing, structuring, and storing defect information without requiring manual intervention for data entry. The voice recognition system autonomously converts speech to structured digital records.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If inspectors use gloves for sensitive inspections, then inspection accuracy is maintained, but operational complexity increases due to handling difficulties

Engineering Contradiction:

Improvedefect detection accuracyVSAvoiddifficulty of noting defects

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent substitutes manual mechanical note-taking with acoustic field interaction. Inspectors communicate defect information through voice rather than physical writing, allowing glove wearers to easily log defects without compromising either accuracy or ease of operation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If defect logs are manually digitized for sharing, then information can be shared across units, but the process is time-consuming and error-prone

Engineering Contradiction:

Improvedefect log sharing capabilityVSAvoidtime for digitization

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs self-service by automatically converting voice inputs into standardized digital defect records that are immediately available for sharing. The automated transcription and structuring eliminates manual digitization efforts.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical digitization processes with automated acoustic-to-digital conversion. Voice commands are automatically transcribed and formatted into shareable digital records, enabling instant distribution across units.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Extent of automation

If voice processors and large language models are used independently, then speech recognition is achieved, but accuracy is insufficient for domain-specific defect terminology

Engineering Contradiction:

Improveautomated speech to text conversionVSAvoidspeech to text conversion accuracy

Core Design Contradiction:

Extent of automationVSMeasurement precision

Solution Approach 1:

The patent merges multiple technologies - voice processors, large language models, and domain-specific ontologies - into an integrated system. This combination enables the system to understand both general speech patterns and specialized defect terminology, significantly improving conversion accuracy.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system achieves universality by combining general-purpose language models with domain-specific knowledge bases. The integrated architecture can handle various defect types, locations, and terminologies across different inspection domains while maintaining high accuracy through specialized training data.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250259626A1Method and system for a voice assisted quality inspection

Publication Date: 2025.08.14 TATA CONSULTANCY SERVICES LTD

AI summary

The embodiments of present disclosure herein address unresolved problems of handwritten notes or digital diaries for logging defects during quality inspection. Also, these kinds of inspections in the industries are time bound. In certain sensitive inspection cases inspectors are required to use gloves while inspecting which leads to added overhead of working with gloves while noting down the defects. Sharing of these defect logs also becomes difficult as they first must be digitized to be shared across the different units in the industry. Embodiments herein provide a method and system which logs the defects identified by inspectors using inspector's voice. The system identifies defect type, location and sub-section from inspector speech and marks the defect in an orthogonal view, a two-dimensional (2D) view, a three-dimensional (3D) view of the artifact being inspected for verification. The system also allows for marking the defects as resolved during the repair or rework process.