MAR SolarCare delivers AI-powered drone inspections and predictive O&M for solar farms, wind farms, and substations, turning months of manual checks into days of actionable insight.
Advanced drones + AI deliver precise reports so you make informed asset decisions.
Automated systems and real-time monitoring keep downtime low and output high.
Industry-seasoned teams and a 24/7 NOC make MAR SolarCare a complete asset partner.
RGB and thermal drone inspection, ML/DL anomaly analysis, cleaning intelligence, and maintenance planning across every asset class.
Radiometric thermal and high-resolution RGB imagery are analyzed with ML/DL computer vision to detect, classify, and prioritize module, string, and site anomalies.
High-resolution visual and thermal imagery are analyzed with ML/DL computer vision to detect blade and turbine anomalies and rank them for repair planning.
Safe-standoff RGB and radiometric thermal capture reveal condition risks across substations and line corridors, with ML/DL analysis supporting engineering review.
Autonomous drone fleets capture every panel and blade in high resolution. Our AI pipeline classifies defects, ranks them by severity, and pushes work orders to your team, all inside one digital twin.
Pre-planned flight paths cover GW-scale solar and wind sites in a single day.
Thermal and RGB imagery are analyzed to detect anomalies, classify findings, and support severity-based review.
Every finding is geo-pinned to a GPS-precise model of your plant.
A precise, GPS-enabled digital twin gives owners, performance engineers, and field teams full control of DC/AC health, components, civil works, and critical infrastructure.
Real numbers from utility-scale solar and wind engagements.
A credible cleaning program starts by separating uniform dust, localized contamination, shading, and electrical anomalies—then assigning the right field response to each condition.
A safe-standoff drone program can connect substation thermal evidence, line-condition imagery, corridor risk, and asset history into one prioritized maintenance workflow.
A combined inspection program can connect visible blade condition, external turbine anomalies, maintenance history, and appropriate thermal evidence without treating either sensor as a standalone diagnosis.
A thermal image is evidence—not a diagnosis. The value comes from controlled capture, ML/DL-assisted classification, engineering review, and precise asset linkage.
Inspection, reporting, prioritization, and O&M execution under one operating rhythm.
Fault classification, severity ranking, and NOC workflows built for renewable assets.
Portfolio dashboards and digital twins shaped around how your field teams work.
Book a site inspection and get a fault-mapped report of your solar or wind assets within days, not months.
