Remotely Piloted Aircraft Systems (RPAS), also known as UAV (Unmanned Aerial Vehicles), delivered a step change in asset inspection when they were introduced in the early 2000s improving safety, access, and deployment speed.
Industry has learned, however, that access alone does not guarantee inspection‑grade evidence. Early RPAS gains sometimes came with inconsistent capture quality, misalignment with inspection requirements, and imagery that failed to meet evidentiary standards for engineering decisions or audits. Applus+ quickly identified this credibility gap, and structured its service offering to directly address these challenges.
Applus+ Digital Services in the Pacific region leverages disciplined development, structured validation, and controlled delivery to drive quality outcomes for our clients. We integrate RPAS and terrestrial data capture within a repeatable workflow that captures, measures, and archives defensible evidence for remote inspection and integrity decision‑making.
We elevate the work of our inspectors, focusing on higher‑value analysis supported by quality evidence, while continuing to improve safety and deployment efficiency. The result is an auditable, time‑and‑condition (T&C) record: a timestamped, quality‑controlled evidence set that captures asset state at a defined point in time and supports comparison and audit.
As a Testing, Inspection and Certification (TIC) provider, our responsibility is to deliver independent, professional inspection and reporting that meets engineering requirements, regulatory expectations, and audits. Digital technology is deployed precisely to where it strengthens these outcomes.
Our priorities are:
These principles distinguish engineering‑grade inspection from visually compelling but technically limited imagery.
High-quality inspection evidence isn’t just about collecting data. To meet HOIS Joint Industry Project expectations, service level agreements (SLAs), and expert requirements, the process must clearly show how accurate it is, how well it detects risks, and how certain (or uncertain) the measurements are.
Our engineered workflow includes:
In this model, the integrity of the workflow is as important as the technology deployed.
No single technology is appropriate for every scenario – RPAS and terrestrial capture each bring benefits.
A single engineered methodology governs both so outputs remain comparable and auditable across campaigns.
Remote review as a first step enables experienced inspectors and engineers to scrutinize evidence without unnecessary travel or time on site, while maintaining governance and quality controls. It also helps prioritize on-site verification activities and define specific, location-bound, evidence-referenced actions. Outcomes can then be incorporated back into the inspection record, closing the loop.
Examples of tasks requiring site-based inspection include tactile assessment, coating condition validation, specific contact measurements, and views obstructed by geometry, reflections, or line‑of‑sight constraints. In practice, around 80% of inspection needs can be resolved remotely, with the remaining 20% addressed through targeted on‑site verification.
The Applus+ approach combines specialist capture partnerships, highly experienced inspection teams, and seamless data e-delivery to ensure inspection‑grade outcomes at scale. We bring together the latest technology with the strength of Applus+ inspection governance and engineering interpretation to deliver findings in non‑proprietary formats that integrate seamlessly with client CMMS (Computerised Maintenance Management Systems) and EAM (Enterprise Asset Management) data environments.
Today’s RPAS delivery demands inspection‑grade evidence that can be measured, archived, integrated, audited, and acted upon. In the Pacific Region, the Applus+ Digital Services department has implemented an advanced engineering‑led workflow that integrates RPAS and terrestrial capture, enables remote scrutiny by experienced professionals, closes the loop with targeted on-site verification, and delivers outputs that support integration, continuous improvement, and the structured adoption of machine‑assisted insight.
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