All AI Agents
Vision Agent
EnergySolar Maintenance
Solar Panel Inspection Agent
Visual inspection of solar installations
AI agent that analyzes drone and ground photos of solar panels to detect damage, soiling, hot spots, and degradation affecting energy production.
The Problem
Solar panel issues often go undetected until significant production loss occurs, and manual inspections are time-consuming.
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
Drone or ground photos of array
2
AI Analysis
Detects panel-level issues
3
Repair Plan
Prioritized maintenance schedule
Capabilities
Defect Detection
Identifies cracks, hot spots, soiling
Production Impact
Estimates energy loss per defect
Priority Ranking
Ranks repairs by ROI impact
ROI Impact
Real results from Energy customers
Verified Data
Troubleshooting Time
4 hours30 min
88% faster
First-Time Fix Rate
78%95%
+17%
Truck Rolls
MonthlyAs needed
-60% visits
Tech Satisfaction
3.3/54.6/5
+39%
Real-World Examples
See how the agent automates field workflows
Array Inspection
93% confidenceTriggered by: Photo uploaded from field
Drone photo of 200-panel commercial solar array
Detected Issues
Panel B-12 showing hot spot (potential cell failure)medium
Location: Primary areaRow C heavy soiling reducing output ~15%medium
Location: Secondary areaPanel D-7 visible crack in glassmedium
Location: Secondary areaAuto-Populated Form Fields
Issue TypePanel B-12 showing hot spot (potential cell failure)
Severitymedium
Recommended ActionReplace panel B-12 within 2 weeks