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Case studies
Maritime
158873985867
NO human entry and
work at height
$1M+ saved on a hull
inspection
10x faster cargo tank
inspections
Safety
Avoid having personnel working at height or in confined spaces by performing remote drone inspections even in GPS-denied areas.
Efficiency
Save up to 90% of costs by avoiding scaffolding and rope access specialists. Inspect in a team of just two and capture UT measurements up to 10x faster.
Downtime
Slash downtime by up to 80% and inspect even while on anchorage. Always have an inspection tool at hand to never waste any time.
General visual inspection
Close-up visual inspection
UT spot measurements
Corrosion or crack monitoring
Foreign object detection
Digital twin
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Cargo oil tank visual and UT inspection
Read moreRemove the need for scaffolding and conduct UT scans faster than a human operative while keeping your inspectors safe.
Speed Efficiency Accuracy Save 15,000 hours of work on a hull inspection Inspect in a team of two. UT and visual data certified by a classification society -
Ballast tank visual inspection
Read moreInspect a ballast tank while remaining at a safe distance and collect 4k video footage and live A-scans with accurate data localization.
Speed Safety Efficiency Inspect up to 10x faster than traditional methods Avoid human entry and work at height Inspect 5 ballast tanks per day in a team of just two -
Cargo tank visual inspection
Read moreEasily access the cargo tanks of a vessel and avoid confined space entry or use of flotation devices by using the Elios drone.
Speed Cost Accuracy Cut inspection time by over 90% Save over $1M in scaffolding and reduced downtime Detect cracks and other issues in minutes
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“The 3D laser scan produced by the Elios 3 allows for accurate localisation of data. This takes the entire survey process one step closer to true risk-based asset management and eventually automation. The ability to reliably localise data means you can repeat the survey precisely, measure any state of change between surveys, and then potentially model rates of degradation with machine learning to predict the best maintenance intervention point. This is the direction in which the marine and many other industries want to go.”
Malcolm Connolly
CEO & Founder, C-Bird
