All AI Agents
Vision Agent
EnergyInspections
Solar Panel Health Inspector
AI vision analysis of solar panel condition
Vision agent analyzing drone and ground images of solar panels to detect hot spots, soiling, and physical damage.
The Problem
Solar panel degradation reduces system output, but manual inspection of large arrays is impractical.
The Solution
- 01Ask any question in plain English
- 02AI searches your actual manuals and history
- 03Get cited answers with source links
How It Works
1
Capture Images
Photograph array with visual and thermal cameras
2
AI Analysis
Agent evaluates panel conditions
3
Maintenance Plan
Review repair and cleaning priorities
Capabilities
Hot Spot Detection
Identify thermal anomalies from IR images
Soiling Assessment
Evaluate panel cleanliness and shading
Physical Damage
Detect cracks, delamination, and hail damage
ROI Impact
Real results from Energy customers
Verified Data
Troubleshooting Time
4 hours45 min
81% faster
First-Time Fix Rate
N/AN/A
N/A
Truck Rolls
N/AN/A
N/A
Tech Satisfaction
3.1/54.5/5
+45%
Real-World Examples
See how the agent automates field workflows
Array Thermal Scan
90% confidenceTriggered by: Photo uploaded from field
Thermal image of solar array section showing temperature variations
Detected Issues
Hot spot on panel A-23, cell cluster 15°C above ambientmedium
Location: Primary areaUniform soiling across row B reducing output estimated 5%medium
Location: Secondary areaBird dropping accumulation on panels C-1 through C-4medium
Location: Secondary areaAuto-Populated Form Fields
Issue TypeHot spot on panel A-23, cell cluster 15°C above ambient
SeverityMedium
Recommended ActionReplace panel A-23 or bypass affected substring