The Pioneer in AI-Powered Solar PV Inspection & O&M

Fusing artificial intelligence with autonomous drone inspection to build safer, higher-yield solar O&M.

All Light Group

LET YOUR SOLAR DATA TAKE FLIGHT

YY AI Drone Inspection: Real-time AI diagnostics, boosting efficiency,
cutting downtime, and delivering automated actionable reports.

Detection • Intelligence • Safety

Intelligent solar PV inspection powered by advanced drone technology

Thermal Detect

Precision Anomaly Detection

"Uncovering details invisible to the naked eye" — Early warning for hotspots, bypass diodes, and module faults to prevent revenue loss.

Hotspot Multi Hotspot Diode
Anomalies Anomalies Anomalies
10+

Defect Overview

  • AI Automated Classification & Imagery
  • Visual verification of actual site anomalies

Smart Insights from Real Data
→ Instant Action

O&M Team Services

Our O&M team is built on professionalism, efficiency, and safety, dedicated to ensuring long-term stable operation and peak performance for every solar PV plant.

Ensuring Personnel Safety

Drone inspection eliminates hazardous work at height and reduces foot traffic in high-voltage areas, reinforcing safety while speeding up coverage.

Maximizing Generation Yield

Through computer vision diagnostics and telemetry cross-referencing, we generate prioritized punch lists and track remediation to boost kilowatt-hour output.

Elevating Plant Availability

Real-time defect tracking and streamlined dispatch minimize downtime and keep balance-of-system assets operating at peak availability.

Global & Local Technical Support

Backed by research partnerships with top universities and international engineering teams, aligning our O&M protocols with global IEC standards.

"Accelerating inspections and unlocking data value through cutting-edge drones and AI—targeting precise remediation to maximize overall energy yield."

Solutions

Drone inspecting solar panel

Drone Inspection

Centering on exceptional safety and operational speed across diverse terrains. Combining radiometric thermal and high-resolution RGB imaging to pinpoint defects accurately as the foundation for downstream analytics.

AI Anomaly Detection

High Efficiency • Cost & Time Savings: Coupling deep learning with computer vision to automatically detect subtle anomalies—including hotspots, cell fractures, soiling, and shading. Delivering audit-grade reports so O&M teams can resolve issues swiftly.

Drone inspecting solar panel
Drone inspecting solar panel

Interactive Platform

Automated Solar Inspection Reports: Asset managers gain immediate visibility into plant health, defect distribution, remediation history, and degradation trends. Based on thermal and RGB imagery paired with AI diagnostics, structured charts quantify severity and remediation priority—enabling optimized cleaning, scheduled repairs, and maximized uptime.

Integrated O&M Portal

Enterprise fleet governance from flight to dispatch on a single unified platform. AI drone diagnostics combined with cloud reporting and cross-facility management give owners real-time visibility into equipment status, anomaly maps, and ticket resolution—driving data-backed decision-making and operational resilience.

Drone inspecting solar panel

Core Benefits

The YY AI Drone Inspection system delivers eight core operational benefits, driving energy yield and asset availability through intelligent analytics and automated workflows.

Module Crack & Damage Detection
Soiling & Cleaning Demand Detection
Bypass Diode Failure Detection
Cable & String Tracing Inspection
Plant Telemetry Analytics
Orphaned Site Audit & Rectification
Integrated SCADA & Dispatch
Automated Report Generation & Export
Quantified Financial Analysis

Smart O&M vs. Legacy Walk-Throughs

Leverage YY AI Drone Inspection to uncover defects early, shorten repair cycles, and maximize solar asset profitability!

Optimized Performance Well-Maintained Baseline

Hypothetical Solar PV Site: Projected 1,500 MWh Annual Yield

Under proactive inspection and timely maintenance, modules maintain optimal efficiency and meet design yield benchmarks.

Solar Panels Optimal

Projected Annual Revenue (1,500 MWh × NT$5/kWh)

Estimated Annual Revenue: NT$ 7,500,000

Suboptimal Operation No Regular Maintenance / Accumulated Defects

Under Neglected or Delayed Inspection Cycles

Unchecked soiling, hotspots, and diode failures go unnoticed, triggering string-level degradation and accelerating yield decay.

Solar Panel Loss
-NT$ 10,000 Daily Revenue Loss

Assuming a 5% Generation Loss (1,500 MWh × NT$5 × 5%)

Annual Direct Loss: NT$ 375,000

Traditional Ground Inspection Takes 2–3 Days

Ground & Rooftop Walk-Through with Handheld Thermal Cameras

Laborious with significant safety risks at heights. Compromised viewing angles overlook subtle cracks and internal hotspots, failing to map exact defect coordinates.

Manual Inspection Recovery

Recovers approx. 1/3 of Lost Revenue

NT$ 375,000 × 1/3 =

NT$ 125,000

Manual Inspection Defect Panel
YY AI Smart Drone Inspection Takes Only 3 Hours

AI Automated Vision & Dual-Sensor Drone Flight

Rapid aerial sweep pairing radiometric infrared with deep learning models. Pinpoints exact defect coordinates and exports diagnostic reports in hours with zero climb risk.

AI Drone Inspection Recovery

Recovers approx. 2/3 of Lost Revenue

NT$ 375,000 × 2/3 =

NT$ 250,000

AI Drone Inspection Panel

With YY AI Drone Inspection,
Plan Smarter and Extend Asset Lifespan

Solar panel with data overlay

50x

Faster Solar Module Inspection

Manual inspections can take days or weeks—especially across utility-scale arrays—while AI-assisted drone flights complete the exact same mission in a few hours.

Solar panel with thermal view

97–99%

Diagnostic Precision Rate

Deep learning models calibrated with radiometric thermal data detect minute flaws that human inspectors easily overlook, such as microcracks, hotspots, and diode faults.

Track Record & Case Studies

To date, our team and trusted partners have successfully inspected and serviced over 111 solar installations.
Through precision flight planning and intelligent asset management, we help clients consistently elevate generation performance and achieve sustainable clean energy goals.

Case photo A - Fangliao Longan
Case photo B - Chaozhou Skating Rink
Case photo C - Road Circuit Solar Array

Frequently Asked Questions

Q1: Asset owners invest significant capital but lack real-time visibility into their solar sites. How can this be resolved?

By combining drone inspection with our integrated digital platform, owners gain a comprehensive macro view of their assets. Map markers clearly indicate individual site locations—clicking a marker instantly switches the view to that facility. Within each site dashboard, key facility metadata is presented in the top-left corner, while string array zones on the right are color-coded by Performance Ratio (PR). Clicking any specific zone reveals power output data, GPS coordinates, and high-resolution aerial imagery.

Q1 Image A Q1 Image B

Q2: How do we eliminate the hazards and inefficiencies of technicians carrying handheld thermal cameras across hot rooftops?

Drone inspection utilizes radiometric thermal cameras to survey vast module arrays in minutes, eliminating the need for hazardous work at height while vastly enhancing worker safety, coverage completeness, and inspection efficiency.

Q2 Image A Q2 Image B

Q3: Without coordinate data, how can field technicians accurately locate malfunctioning solar panels?

While some drone inspection providers capture thermal imagery, pilots often have to inspect imagery manually and record notes by hand, failing to provide precise geospatial coordinates to repair technicians. Our platform couples aerial capture with AI-powered diagnostic models that automatically identify module-level defects and tag pinpoint GPS coordinates, allowing O&M teams to navigate directly to faulty panels without guesswork.

Q3 Image A Q3 Image B

Ready to Maximize Your Solar Plant Efficiency?

We deliver tailored drone + AI inspection solutions,
rapidly isolating defects and optimizing O&M yields—talk to our specialists today.