Topic · Field notes
AI Inspection.
Autonomous AI rail and infrastructure inspection — from sample-window pilots to national-scale deployment. Algorithms, deployment patterns, and operational outcomes from the Deutsche Bahn programme and adjacent work.
14 posts
019 MIN·UPDATED · SEP 2026AI Power-Line & Substation Inspection Compared: Software, Drones and Docks (2026)
AI power-line and substation inspection compared: analytics software, drones and docks, selection criteria, a side-by-side table and public pricing.
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0211 MIN·UPDATED · SEP 2026Autonomous AI Rail Inspection — The Architecture
A grounded look at why autonomous drone-in-a-box infrastructure plus AI analytics fits rail track inspection, and where Dronehub's IP-and-partnership model applies — anchored by the announced Deutsche Bahn anomaly-detection engagement.
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0310 MIN·UPDATED · SEP 2026Refinery Drone Inspection Checklist: ATEX Zones, Flares, Tanks and Permits (2026)
A refinery drone inspection checklist: hazardous-area zones, permits, flare stacks, tanks, piping, gas-detection payloads, and who supplies each piece.
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0410 MIN·UPDATED · SEP 2026Railway Drone Inspection Checklist & Requirements (EU and US, 2026)
What a railway drone inspection programme needs before the first flight: EU and US approvals, track access, sensors, BVLOS or docks, and data handling.
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058 MIN·UPDATED · MAY 2026Energy Grid + AI Inspection: Same Stack, Different Anomalies
Sentinel re-points from rail to energy grid by changing the per-asset taxonomy — the architecture stays. Transmission, substations, conductors at scale.
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069 MIN·UPDATED · MAY 2026Why Railway Operators Are Abandoning Calendar Inspection
Calendar-based inspection is the legacy model. Condition-based monitoring is the replacement — driven by cost, safety, regulator pressure, and workforce-capacity reality.
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079 MIN·UPDATED · MAY 2026Per-Fastener Defect Detection: From Spec to 95%+ Accuracy
The 95%+ per-fastener defect detection number at Deutsche Bahn scale. What it measures, how it was achieved, and where the next gains come from.
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089 MIN·UPDATED · MAY 2026Inside Sentinel: The In-House AI Inspection Stack
Sentinel is Dronehub's in-house AI anomaly-detection platform. Edge first-pass on Jetson, cloud-side specialisation, sovereign data path by design.
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098 MIN·UPDATED · MAY 2026AI Rail Inspection at Scale: Lessons From Deutsche Bahn
What Germany's 33,000-km Deutsche Bahn network taught us about AI rail inspection — accuracy, latency, sovereignty, and the operator handoff.
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104 MIN·UPDATED · MAY 2026PKN Orlen Refinery Inspection: A Named Reference for Hazardous-Site Drone Ops
Eastern Europe's largest refinery operator deployed Dronehub's autonomous inspection across critical-infrastructure assets. The use case that proves drone-in-a-box scales from rail to volatile chemical plants — same Sentinel stack, different anomaly taxonomy.
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115 MIN·UPDATED · MAY 2026Wind Farm Drone Inspection: When Manual Climbing Teams Become Uneconomic
Drone inspection cuts wind-turbine blade survey time from six hours to fifteen minutes per turbine — and works offshore where boat access is the real bottleneck. The same Sentinel AI stack that runs Deutsche Bahn rail inspection re-points at wind.
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125 MIN·UPDATED · MAY 2026How the IBM Partnership Shaped the Sentinel AI Inspection Stack
Dronehub became an IBM Solution Partner in 2021 — the only drone company in Europe at the time. The partnership shaped the architecture of Sentinel, the in-house AI anomaly-detection stack that now runs Deutsche Bahn's national-scale rail inspection.
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134 MIN·JAN 10, 2022Summary of 2021 at Dronehub – part 2
In the previous post (check it here) we have shared with you the most important projects and integrations we had worked on in 2021.
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141 MIN·AUG 31, 2020Autonomous drones extend monitoring and aerial inspection workflows.
Monitoring of environmental areas is a demanding task that requires long periods of observation and large numbers of specified equipment.
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