Inspections that reveal the invisible
Optimum Indrone transforms aerial inspections into a technical ally: through thermal and RGB imagery, it performs a comprehensive AI-driven analysis that detects hidden failures, classifies and geolocates anomalies, measures their impact, and delivers precise reports to optimize maintenance and prevent generation losses.
Turning inspections into
a maintenance strategy
Accurate failure detection
Identification of anomalies in cells, diodes, panels, strings, junction boxes, trackers, and inverters through drone inspections powered by artificial intelligence.
Smart classification and geolocation
Each failure is categorized by type and criticality level, and georeferenced on the plant layout to streamline planning of corrective actions.
Actionable, Data-driven reports
Exportable reports that combine technical analysis, estimated generation losses in USD, and maintenance priorities.
Traceability and historical analysis
Comparative records over time to monitor fault evolution and validate corrective measures.
Results that impact your operations from the very first flight
Measurable economic savings
Detailed analysis identifies generation losses of up to 3% annually in solar plants—equivalent to more than USD 4,300 per MW per year in Argentina.
Reduced inspection time
Achieves up to 97% savings in operational time compared to manual methods.
Lower human risk
Minimizes field exposure thanks to remote inspections.
Lower emissions
By improving renewable energy efficiency, reliance on conventional generation is reduced. convencional.
When early detection makes the difference
Diagnosis. Action. Results. These cases demonstrate how aerial inspections can prevent losses, boost
performance, and transform data into smart decisions. Anticipating issues isn’t just an advantage—it’s a real difference in the field.
Discover our projects
Better Performance through Accurate Detection
In a protected area with limited access, generation losses were recorded without an apparent cause. Through an aerial inspection with Optimum INDRONE, vegetation buildup obstructing solar radiation was detected. This early detection enabled rapid, targeted clearing, restoring performance without the need for physical entry into the restricted zone.
A Diagnosis that Enabled a Warranty Claim
After an initial inspection, a potential progressive failure in solar panels was suspected, but there was no conclusive data. A second inspection 18 months later with Optimum INDRONE revealed a significant increase in diode anomalies. This comparative analysis provided documented evidence of deterioration and successfully supported a warranty claim, preventing further losses due to degradation.
Decisions Backed by Data and Financial Analysis
A solar plant was experiencing performance losses without a precise diagnosis or visibility of the economic impact. Through an Optimum INDRONE inspection, failures in the tracker system were identified and their effect quantified in USD. This information enabled a cost-benefit analysis that justified corrective investment and supported faster, more effective decision-making.
Shading on Panels: Accurate Diagnosis with Images and Technical Data
The client was aware of a design flaw that caused shading on the panels, but did not fully understand its actual impact. Through the simulation performed with Optimum INDRONE, based on inspection images and technical data, it was precisely determined when the phenomenon occurs and how it affects generation. As a result, a comprehensive report was delivered, providing the client with the insights needed to take corrective actions and optimize performance.
Trends transforming solar operations
Solar maintenance is evolving. Fault detection, economic analysis, and operational efficiency are now key to making better decisions. Explore this report to see what the data reveals—and why anticipating issues makes all the difference.
