Solar Inspection Service

Inspect every row without slowing the site down.

Dronnix combines thermal and RGB drone capture to map utility-scale and commercial solar assets fast. We identify hotspots, classify visible issues, and deliver GPS-tagged findings your operations team can move on immediately.

Thermal and RGB capture GPS-tagged findings Coverage across Alberta
100%
Panel Coverage
Full-row aerial capture instead of partial spot checks.
1
Flight Workflow
Thermal and visual data aligned into one review set.
5
Core Deliverables
Maps, fault inventory, annotations, and a summary package.
AI-classified thermal inspection output AI-Assisted Review
Delivered Output
Each issue is linked back to location, image evidence, and inspection context.
The Challenge

Hidden faults cost more than you think.

A commercial rooftop installation with undetected faults does not fail visibly; it quietly underperforms. Individual panels can degrade, short-circuit, or overheat for months without triggering any system-level alarm.

Traditional ground inspection has real limits at scale. On a large site, a full manual survey can take days, and still only cover a fraction of panels to contain costs.

By the time a problem is visible, the energy loss has already occurred.
Aerial RGB view of commercial rooftop solar panel installation
How It Works

Four steps. One flight. Every fault found.

Step 1 — RGB capture. High-resolution visible imagery documents physical panel condition: cracks, soiling, shading, and mounting damage across the full rooftop.

Step 2 — Thermal imaging. The infrared sensor reads every panel's surface temperature. Faults generate hotspots invisible to the naked eye but unmistakable in thermal data.

Step 3 — AI hotspot and panel detection. A detection model automatically locates every thermal anomaly and segments individual panel boundaries across the full orthomosaic, no manual marking required.

Step 4 — AI classification. Each detected panel is assigned a fault severity class: Healthy, Moderate, High Fault, or Critical. Every result is GPS-tagged and ready for maintenance dispatch.

RGB aerial view
Thermal aerial view with hotspots
Thermal RGB

Drag to compare sensors

Interactive Demo

What the eye cannot see.

The rooftop looks normal in visible light. Move your cursor anywhere over it; the drone flies to that position and its thermal sensor reveals the hidden layer beneath.

Hover to reveal thermal

Move your cursor over the rooftop to reveal thermal data

AI Detection & Classification

Automatic. Precise. Actionable.

After capture, our AI pipeline runs without manual input. It detects every thermal anomaly, segments individual panel boundaries across the full orthomosaic, and classifies each panel by fault severity before the crew is back on the ground.

1 Step 01 · Capture 📷 RGB Capture High-res visible imagery of the full rooftop surface.
2 Step 02 · Capture 🌡️ Thermal Capture Infrared scan reads every panel's surface temperature.
3 Step 03 · AI 🔍 Hotspot Detection Model locates every thermal anomaly automatically.
4 Step 04 · AI Panel Segmentation Individual panel boundaries mapped across the orthomosaic.
5 Step 05 · AI Fault Classification Each panel graded: Healthy, Moderate, High, or Critical.

Hotspots

Cells generating heat instead of electricity, caused by defective cells, short circuits, or mismatch effects.

String Outages

Entire strings offline due to connection faults, combiner box failures, or open circuit conditions.

Bypass Diode Failures

Localized overheating of a defined sub-section of a panel, identifiable by characteristic thermal patterns.

Soiling and Shading

Dirt, dust, or vegetation reducing output across specific rows or sections of the array.

Physical Damage

Cracks, delamination, and surface defects documented with high-resolution RGB for warranty and insurance records.

PID Degradation

Potential Induced Degradation: systematic losses detectable through thermal pattern analysis across affected modules.

Deliverables

What you receive.

01

Thermal Orthomosaic

A full geo-referenced thermal map with all anomalies marked by location and severity.

02

RGB Orthomosaic

High-resolution visual map for physical defect documentation and site layout reference.

03

Fault Inventory

Every fault with GPS coordinates, fault classification, temperature delta, and severity ranking.

04

Annotated Image Pairs

Matching thermal and RGB images for each flagged panel so your team knows what to look for.

05

Executive Summary

Severity-ranked overview of findings, total fault count by type, and recommended priorities.

Why Aerial

Coverage that ground crews cannot match.

One flight. Every panel. Site stays online. Results in hours instead of days.

Capability Dronnix Drone Inspection Manual Ground Inspection
Full-site turnaroundSame day2–5 days
Panel coverage100% of site10–25% sample
Site shutdown required No shutdown needed✗ Section shutdowns
GPS-tagged fault locations Every fault✗ Manual notes only
Consistent detection threshold Uniform across site✗ Declines with fatigue
Thermal + RGB orthomosaic Delivered✗ Not available
Pattern-level fault detection AI-assisted✗ Panel-level only
Get Started

Start with your site.

Send us the site details and we'll put together a flight plan and quote. Inspections available across Alberta, with broader coverage on request.

Based in Calgary, AB Available across Alberta Managed end-to-end workflow