Feb 1, 2026 Product
SunScan-AI: Autonomous Solar Panel Asset Integrity and Electroluminescence Diagnosis
A high-precision EL-based inspection system that detects and localizes photovoltaic module defects while quantifying energy yield loss for manufacturing and field operations.
Prompt Input: "Perform an automated EL analysis on the thermal images from the drone survey of Site 7. Segment each solar cell and identify all Mode B and Mode C crack patterns. Calculate the projected annual power loss for the affected panels and prioritize them for maintenance based on their ROI contribution to the entire array."
Note: The live demo regenerates dynamically. Prompts and interface elements may differ from the screenshots to showcase the system's full capabilities.
Result:
A production-ready diagnosis suite containing:
1. Automated cell-level defect classification models (CNN/Transformer based);
2. A perspective-correction and brightness-normalization engine for outdoor EL;
3. A power-loss estimation tool based on crack geometry;
4. A cloud-based dashboard for long-term degradation tracking and fleet-wide health analytics.