Thermal Fault Map

Thermal imaging and AI detect panel hotspots and inverter anomalies, enabling proactive maintenance to maximize solar farm energy yield.

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How does it work?

Manual thermal inspections of solar farms are time-consuming and can miss intermittent or small-scale faults. Automated AI-driven thermal analysis of aerial imagery pinpoints issues quickly, reducing downtime and maintenance costs.

Early Fault Detection: AI algorithms analyze high-resolution thermal data to identify panel hotspots before failures occur. Early warnings prevent equipment damage and avoid energy production losses.
Reduced Maintenance Costs: Automated detection pinpoints only faulty panels, minimizing unnecessary inspections. This targeted approach lowers labor and replacement expenses while optimizing resource allocation.
Scalable Monitoring: The platform processes drone and satellite imagery to survey hundreds of hectares in hours. Scalable analytics support utility-scale solar farms without additional manual effort.
Trend Analytics: Geospatial analytics track fault patterns over time and location to reveal persistent issues. Operators can correlate anomalies with environmental factors to improve asset design and placement.
Real-time Alerts: Automated alerts notify teams immediately when thermal anomalies exceed thresholds. This rapid response capability reduces energy downtime and maintains consistent output.
System Integration: APIs integrate thermal analytics into existing SCADA and asset management platforms. Centralized data streams enable streamlined workflows and unified monitoring dashboards.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does thermal monitoring compare to IV curve testing?: Thermal monitoring offers non-invasive, rapid identification of surface temperature anomalies across large arrays. IV curve testing provides detailed electrical performance metrics but requires physical connections and longer inspection times.
Why is AI-based thermal monitoring popular among solar operators?: Solar operators prefer AI-driven approaches for their automated data analysis and fault prioritization, which reduce manual workload. The system’s consistent detection accuracy and real-time insights enhance maintenance decision-making.
What are the limitations of drone-based thermal surveys for fault detection?: Drone surveys can be affected by weather conditions and require flight planning permissions, which may delay inspections. They also offer limited revisit frequency compared to satellite services and may miss transient faults between flights.
What are alternatives to drone-based thermal inspections?: Satellite thermal imagery provides broader coverage and regular revisit schedules without flight logistics. Ground-based IR cameras can offer detailed diagnostics but lack the spatial scale of aerial solutions.
How does satellite imagery compare with drone surveys for thermal mapping?: Satellite imagery offers frequent, large-area coverage at medium resolution, ideal for trend tracking across regions. Drone surveys deliver higher spatial detail but require more operational coordination and can incur higher per-hectare costs.
Are there limitations to relying solely on satellite data for fault detection?: Satellite thermal resolution may not detect small or early-stage hotspots, limiting early fault identification. Cloud cover and atmospheric conditions can also degrade data quality and delay analysis.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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