Use UAVs, ROVs or other remotely controlled or autonomous unmanned vehicles inspect the site, collect and localize the media on a 3d map
Step 3
IMAGE/VIDEO ENHANCEMENT
Using specific AI/ML models to enhance images (Reducing blurriness, improving lighting, etc.)
Step 4
IMAGE/VIDEO ANALYSIS
Use ML models for identification (detection, segmentation, etc.) of structural elements and defects. Connect the results of structural and defects analysis to derive the condition for each structural element’s class
Step 5
RESULTS AGGREGATION
Aggregate multiple predictions to derive the coating condition for each unit and the site overall
Step 6
PREDICTIVE MODELING
AND MAINTENANCE
Collect the results in a time series manner to see degradation patterns and predict the future states for each area, unit and the site. Use those predictions to plan repairments way in advance.
BUSINESS VALUE
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Change your path from reactive inspection and maintenance into proactive corrosion management.
Reduce the cost of corrosion management while increasing asset lifetime and productivity.
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Using robotics, computer vision and advanced analytics predict risks and accurately plan inspections.
Combine cutting-edge technologieswith leading maintenance strategies and achieve smarter, safer inspections.
USE CASES
Visual Inspection is an essential component of asset management in different industries, including: