Visions and Goals
To promote the sustainable growth of the PV industry, we offer a third-party, data-driven maintenance management platform tailored for PV investors and maintenance teams. If your assets encounter any of the following conditions to be checked, we are the trusted partner.
- Acceptance of new PV plant: Assessing the module’s functionality and its connections to each system component to ensure the overall structure aligns with the planned design.
- Power generation efficiency deterioration: Quickly diagnosing issues and recommending solutions when power generation falls short of expectations or performance begins to decline.
- PV plant purchasing and selling: Before purchasing, selling, or rectifying a system, conduct a condition assessment to establish a reliable foundation for investment decisions.
- Disaster damage assessment: Assessing system damage caused by natural disasters such as typhoons or lightning strikes to determine its current condition.
- Regular system maintenance: Routine aerial inspections of PV plants replacing manual assessments, supported by a cloud visualization system for seamless data recording.


Advantages

PV Module Expert
With a decade of experience in PV module R&D, we are experts in solar cell and module technologies. Taiwan’s climate characterized by typhoons, high temperatures, and high humidity subjects PV modules to environmental stresses that often exceed IEC certification conditions. To maintain system stability, outdoor PV modules require regular, comprehensive inspections. Through aerial inspections and high-efficiency analysis, we effectively identify defects and provide professional recommendations for corrective action.

Advanced AI Analysis Software
The patented IRUAV Analysis software provides a suite of powerful features, including automatic environmental parameter display, comprehensive IR image temperature measurement, high-temperature hotspot detection with customizable conditions, synchronized zooming of dual-image displays, drone position tracking, and AI-driven defect detection. Trained on extensive inspection data from local PV plants in Taiwan, the AI model is optimized for analyzing domestic PV plants and modules, enhancing the accuracy of aerial inspections.

Cloud Visualization System
The industry's first cloud-based visualization system was developed to store and present aerial inspection results, accessible via the IRUAV APP. Identified defects are visually highlighted on modules within the orthophoto for easy reference. Maintainers can use mobile devices and navigation functions to quickly locate issues, while maintenance logs record processing details. Supervisors can compare inspection data over time, enabling data-driven maintenance management.
Data-driven Maintenance Management
With eight years of experience in aerial inspections of PV plants, we are industry leaders in integrating AI analysis and cloud visualization systems. This innovation enables a data-driven maintenance management service that significantly enhances efficiency. We offer a range of service options, and clients can use our cost estimation calculator to determine pricing.
- On-site Drone Inspection
- Advanced AI Analysis
- Cloud Visualization System

Laboratory Testing Report
We maintain strong collaborations with PV laboratories. If aerial inspections reveal a certain percentage of abnormalities in a PV plant, a small set of representative modules can be selected and sent to the laboratory for third-party analysis, ensuring a credible and reliable assessment.
- Module Power Testing
- Module EL Testing
- Module Insulation Testing
PV Plant Aerial Inspection Technology
We continuously track advancements in drone technology, industry trends, and regulatory updates to evaluate drones suited for PV system inspections and integrate them into platform applications. If you are considering adopting aerial inspection technology, we can provide professional, comprehensive guidance to support your decision.
- Cybersecurity Certified Drone
- DJI Enterprise Drones
- Inspection Practice Course
