Automated Facility Register Generation via Image Analysis

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Solution Overview

Problem

The existing method of generating facility registers for road appurtenances is cumbersome and inefficient, requiring manual data collection and processing, which hinders convenience and accuracy.

Innovation Solution

A support information generating device and system that uses a processor to analyze captured images, recognize facilities, determine their classification, and generate associated position and classification information, thereby automating the process of creating facility registers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual data collection and processing is used to generate facility registers, then the process is simple in terms of technology, but the operation becomes cumbersome and efficiency is reduced

Engineering Contradiction:
Improvefacility register generation efficiencyVSAvoidoperator convenience
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The system enables automatic self-service generation of facility registers by capturing images with mobile terminals, automatically recognizing facilities through image analysis, and generating register data without requiring manual data collection and processing by operators

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The manual mechanical process of operators collecting and processing data is replaced by an automated system using mobile terminals for image capture, image recognition algorithms for facility identification, and automatic data generation to create facility registers

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated image analysis and facility recognition are implemented, then productivity and accuracy are improved, but device complexity increases

Engineering Contradiction:
Improvefacility register generation speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The mobile terminal performs multiple functions including image capture, image analysis, facility recognition, and data generation within a single device, eliminating the need for separate specialized equipment and reducing overall system complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system uses an image server as an intermediary to handle complex image analysis and facility recognition processing, separating the computational complexity from the mobile terminal and operator interface, thereby managing system complexity while maintaining high productivity

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12148196B2Support information generating device, support information generating system, support information generating method, and computer readable recording medium
Publication Date: 2024.11.19 FURUKAWA ELECTRIC CO LTD
  • US12148196B2 patent drawing
  • US12148196B2 patent drawing
  • US12148196B2 patent drawing

AI summary

A support information generating device includes a processor configured to: obtain first related information including a plurality of first captured images sequentially captured in chronological order, the plurality of first captured images being associated respectively with first captured position information indicating captured positions at which the first captured images are captured; analyze the plurality of first captured images; recognize a specific facility captured in at least one first captured image of the plurality of first captured images; determine a classification of the specific facility captured in the first captured image; generate first facility classification information indicating the classification; and generate support information including the first facility classification information and first facility position information associated with each other, the first facility position information indicating a position of the specific facility based on the first captured position information associated with the first captured image in which the specific facility is captured.