Video Inspection System for Automated Feature Detection and Marker Positioning

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Solution Overview

Problem

Video inspection systems, such as borescopes, face challenges in accurately measuring anomalies on inaccessible surfaces due to difficulties in visualizing three-dimensional spaces, leading to inefficient and skill-dependent measurement processes.

Innovation Solution

A method and system that automatically detects known measurable object features using a video inspection system, displaying images, selecting measurement types, and positioning markers based on detected features, allowing for efficient and accurate dimension computation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual cursor placement is used on two-dimensional images for measurement, then measurement capability is achieved, but measurement precision deteriorates due to difficulty in visualizing three-dimensional space

Engineering Contradiction:
Improvemeasurement accuracyVSAvoiduser operation difficulty
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent creates a three-dimensional virtual copy or representation of the measured object based on the two-dimensional image data. This virtual model allows users to perform measurements in a three-dimensional space that accurately reflects the actual object geometry, eliminating the visualization difficulties of flat images while maintaining measurement capability.

Inventive Principle:
Principle #26Copying

2Productivity

If automated feature detection is implemented, then productivity improves through reduced manual effort, but device complexity increases due to additional processing requirements

Engineering Contradiction:
Improvemeasurement efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system performs automated detection of measurable features, automatic selection of appropriate measurement types, and autonomous positioning of measurement markers without requiring manual user input for each step. The computer vision algorithms independently analyze the image data, identify relevant features, and execute the measurement process, thereby significantly improving productivity while the complexity is managed through integrated software processing.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS9412189B2Method and system for detecting known measurable object features
Publication Date: 2016.08.09 BAKER HUGHES CO
  • US9412189B2 patent drawing
  • US9412189B2 patent drawing
  • US9412189B2 patent drawing

AI summary

A method and system for detecting a known measurable object feature using a video inspection system. The method and system displays an image of a viewed object and detects a known measurable object feature on the viewed object. The method and system then displays a set of available measurement types including a measurement type associated with the detected known measurable object feature and/or automatically positions a plurality of measurement markers on the displayed image based on the measurement type associated with the detected known measurable object feature.