Intelligent Inspections
More intelligent and Efficient Asset Insights through Drone Technology and AI
From Manual Inspections to Smart, Data-Driven Decisions
Effective asset management requires reliable, up-to-date data. Traditional CCTV inspections demand heavy resources, cause disruption in populated areas, and often provide inconsistent assessments.
Solteq Utilities Consulting’s Intelligent Inspections combine drone technology, machine learning and 3D point-cloud modelling to deliver fast, accurate and non-intrusive insights into underground and hard-to-reach infrastructure.
By capturing 4K drone-based video and analysing it automatically with AI, utilities gain a clear understanding of asset condition – supporting smarter reinvestment decisions, longer asset lifetimes and more efficient maintenance planning.
Customer Benefits
- Significant time and resource savings
- Reduced societal and environmental impact
- Objective and uniform assessment of pipeline condition
- Compatible with existing asset systems and digital workflows
- Inspections on live assets – no shutdown or flushing required
- High-quality 4K video and enriched data output
Why Choose Utilities Consulting?
Our Intelligent Inspections service is best in the Nordic market. Developed together with utilities and refined through real-world cases, it combines cutting-edge drone technology with AI analytics and deep sector expertise.
We deliver more than inspection data – we provide actionable insights that strengthen long-term asset management and reinvestment planning.
Let’s bring your asset data to life and turn inspections into smarter decisions.
Our Solution – Drone-Based Inspections
Our drones capture 4K video directly from operational pipelines – no flushing, sediment removal or heavy equipment needed.
This enables:
- Rapid, safe and low-impact inspection setup
- Minimal disruption in traffic-heavy areas
- Access to previously hard-to-reach pipes and structures
- Frequent and cost-effective network screening
- Updated, higher-quality data for asset management
The result:
Better data, fewer resources, and a continually updated understanding of your network condition.
AI-Powered Event Detection
Today, many operators review inspection videos manually – a slow and subjective process. Our machine learning model automatically identifies defects, anomalies and structural issues in video footage, delivering:
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Faster, more reliable and repeatable results
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Continuous monitoring of defect development over time
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Improved prioritisation and investment planning
Insights into how conditions develop year-to-year provide utilities with stronger understanding of reinvestment needs and help target resources effectively.
3D Models and Point Clouds
Drone data is processed into accurate 3D point cloud models of pipes, maintenance holes and structures – providing geometric and positional data for engineering and planning.
Supports:
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Renovation and relining planning
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Verification of dimensions, elevations and alignments
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Integration with GIS and asset management systems
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Supplementary material for field measurements
These models reduce uncertainty, improve planning accuracy, and help avoid unnecessary excavation.
Deliverables
Each inspection project includes a complete, standardized set of outputs:
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4K MP4 video for each inspected section
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AI-based PDF report with images and identified events
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XML report following DANVA’s standard structure
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3D point cloud model with free access to the drone’s visualization platform
Together, these provide a digital, visual and easily comparable dataset for consistent long-term asset management.
Advanced Renovation Planning – Data, AI, and Expertise Combined
Utilities Consulting offers advanced renovation planning services that integrate existing inspection data, machine learning models, and expert consulting — or, when necessary, new drone-based data collection to fill in the gaps.
Our approach provides a comprehensive, data-driven view of network conditions and investment needs.
Here’s how we help:
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Data Assessment: We evaluate the quality and completeness of your existing datasets and identify where additional data or updates are needed.
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AI-Enhanced Condition Modelling: Our algorithms predict pipeline condition development and highlight sections that require near-term attention.
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Optimized Investment Planning: Using data-driven insights, we help utilities prioritize renovations and schedule reinvestments with greater accuracy, up to 10–15 years in advance.
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Cost Efficiency: Better targeting of renovation work can reduce total project costs by 20–30%.
By merging machine learning insights with consulting expertise, we help utilities plan smarter, extend asset lifetimes, and make confident, long-term decisions — without unnecessary fieldwork or overinvestment.
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