Automated Inspection and Equipment Management for Ship Surveying Using AI Video Processing

Abstract Inspecting and managing equipment in real-time with visual dashboards increases organizational visibility and enables optimal decisions. Equipment degradation information must propagate quickly to the shared organizational dashboard to enable better decision-making. This paper outlines the technology components of providing near real-time equipment inspection and tracking. The goal is to reduce inefficiencies and automate mundane, repetitive tasks, encouraging human focus on more intelligent and critical work for the organization. This paper details the AI technologies, and the methodology adopted to enable this vision.

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Publication Details

Journal
Offshore Technology Conference
Published
2025-04-28
DOI
https://doi.org/10.4043/35949-ms
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated Inspection and Equipment Management for Ship Surveying Using AI Video Processing

Paul Mario Koola, Subrat Nanda, Aran Dezhban
Offshore Technology Conference
Industrial Vision Systems and Defect Detection
article

Automated Inspection and Equipment Management for Ship Surveying Using AI Video Processing

Paul Mario Koola, Subrat Nanda, Aran Dezhban
article en

Abstract

Abstract Inspecting and managing equipment in real-time with visual dashboards increases organizational visibility and enables optimal decisions. Equipment degradation information must propagate quickly to the shared organizational dashboard to enable better decision-making. This paper outlines the technology components of providing near real-time equipment inspection and tracking. The goal is to reduce inefficiencies and automate mundane, repetitive tasks, encouraging human focus on more intelligent and critical work for the organization. This paper details the AI technologies, and the methodology adopted to enable this vision.

Offshore Technology Conference
Texas A&M University at Galveston (US)
Openalex Percentile: Top 79%
Industrial Vision Systems and Defect Detection
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