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Redefining Solar PV Inspections with Cutting-Edge Drone-Based EL Technology

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State-of-the-Art Imaging

Our advanced imaging technology captures detailed, high-quality images, revealing even the smallest defects in PV modules, ensuring thorough and accurate inspections.

Our cutting edge technology

Maximum Accuracy and Reliability

Precision Hardware

Our hardware is designed for maximum accuracy and reliability, featuring a compact and lightweight EL payload with an integrated InGaAs sensor, specifically optimized for drone operations.

  • Seamless Integration
    The EL payload fits perfectly with leading industrial drone platforms, enhancing operational efficiency.
  • Advanced cooling and thermal management
    The SWIR camera is equipped with active cooling and superior thermal management for reliable long term operation.
  • Sharp Focus
    Auto-focusing technology guarantees clear, precise images across varied distances and angles.
Maximizing Efficiency and Safety with Advanced Flight Algorithms

Autonomous Flight Control

Our flight control software automates drone operations, maximizing inspection efficiency and safety.

  • Smart Navigation
    Advanced algorithms plan precise flight paths for comprehensive site coverage.
  • Autonomous Operation
    Autonomous controls allow for uninterrupted inspections, even in complex settings.
  • Built-In Safety
    Safety protocols protect against operational risks during inspections.
Quick Detection of Defects with Artificial Intelligence

AI-Driven Defect Identification

Our EL imagery is processed using advanced AI algorithms that automatically detect and classify defects, providing actionable insights without the need for manual analysis.

  • Automated Detection
    AI-driven analysis accelerates the identification of defects, reducing the time required for inspection and reporting.
  • Other highlights of using AI
    The AI not only identifies defects but also estimates the potential impact on module performance, allowing for more informed decision-making.
Turning EL Data into Actionable Insights

Quantitative Electroluminescence Analysis (QELA)

QELA combines big data processing with advanced EL imaging to assess your PV system’s health comprehensively. Some of the metrics are:

  • Uniformity Score
    Measures average module intensity and distribution, predicting power loss and comparing module performance across the project.
  • Integrity Score
    Identifies defects that may not affect current performance but could lead to future degradation or safety risks.
  • Rating
    User adjustable rating based on the defects criteria of interest
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