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InvestmentUpdated on 27 June 2025

AFSP (Automatic Fault Detection in Solar Panels)

Azam Karami

CEO at Vira Kavir

Kerman, Iran, Islamic Republic Of

About

Given the importance of renewable energy for a sustainable future and with the increasing adoption of solar farms to meet industrial energy demands, real-time monitoring and inspection of solar panels has become essential. To address this need, we have developed a web-based software capable of performing comprehensive RGB (visual digital images) and thermal analysis on drone-captured data.

Key Features:

Automated Defect Detection – Identifies visual defects such as cracks, corrosion, and contamination, as well as thermal anomalies like hotspots detected by infrared sensors.
Intelligent Data Processing – The system analyzes and classifies defects with high accuracy.
Comprehensive Reports – Generates detailed reports containing:

  • Type of defect

  • Geographical location of the faulty panel

  • Unique cell identifier

This advanced AI-driven solution enhances operational efficiency, reduces maintenance costs, and extends the lifespan of solar panels, ensuring maximum energy output.

Stage

  • Growth and Establishment

Applies to

  • Energy
  • Technology

Organisation

Vira Kavir

Company (SME)

Kerman, Iran, Islamic Republic Of

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