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Solar plant inspection visual with arrays and monitoring nodes

WYM-ACC-wayam-eye · Solar Inspection

Wayam Eye

AI inspection for solar plants: find defects before they cost yield.

Wayam Eye is Wayam's solar-inspection accelerator. It turns aerial and thermal imagery into defect findings O&M can act on: hotspots, soiling, module damage, and string issues, ranked by severity and mapped to the array, so inspection keeps pace with the size of the fleet.

Plant-scale

solar inspection

Problem

Solar fleets are too large to walk. Hotspots, soiling, cracked modules, and string failures stay hidden until generation drops.

Outcome

Plant-scale visual and thermal inspection that flags defects early and routes work orders to the right crews.

How it works

  1. 01

    Capture

    Bring in drone, robot, or fixed-camera flights for visual and thermal surveys.

  2. 02

    Detect

    Models flag defects and anomalies across modules, strings, and inverters.

  3. 03

    Locate

    Findings are pinned to plant layout so crews know exactly where to go.

  4. 04

    Act

    Prioritized reports and work-order ready outputs close the loop with O&M.

Bill of materials

This pack composes catalog agents. Same IDs as the rest of the catalog.

Systems · Siemens MES MCP · SAP S/4HANA · PI System · Cognex VisionPro · GE Vernova GridOS · Siemens Spectrum · ENTSO-E API · Sphera

Modules

  • Aerial & thermal capture

    Ingest drone, robot, and fixed-camera imagery across arrays and substations.

  • Defect detection

    Spot hotspots, soiling, cracks, PID, and string anomalies automatically.

  • Inspection reports

    Priority-ranked findings with location, severity, and evidence for O&M.

  • Fleet roll-up

    Compare plants and campaigns so portfolio teams see risk, not just site folders.

Use cases

Composable Architecture · Pairs well with

Accelerators that share systems of record, exchange real-time triggers, and compose with Wayam Eye.