Solar drone inspection in Rajasthan, from anomaly to action.
Radiometric thermal drone inspection, RGB context mapping and portfolio reporting for utility-scale solar plants across Rajasthan.
Designed for the place.
Accountable to the decision.
Large solar portfolios need repeatable inspection at module, table, block and plant level. Thermal imagery is useful only when capture conditions, radiometric handling, anomaly classification and field verification are controlled.
Rajasthan adds high temperature, dust, glare, long travel distances and distributed sites. Missions are batched around suitable irradiance and operating conditions while preserving one taxonomy and evidence standard across the portfolio.
SurveyCopter connects thermal findings to exact locations, visible RGB context, estimated operational priority and an accountable review workflow in Falcon AI. Automation proposes candidates; qualified review determines what becomes an action.
Project delivery across Jodhpur, Jaisalmer, Bikaner, Barmer, Jaipur and utility-scale renewable-energy zones across Rajasthan.
These are project-mobilisation areas, not unverified branch-office claims. Every engagement is scoped for the actual site, airspace, access, safety, accuracy, datum, deliverables and acceptance process.
Conditions that shape the method.
↳ Heat, dust and reflective surfaces
↳ Distributed utility-scale portfolios
↳ Consistent radiometric capture conditions
↳ Turning thousands of anomalies into maintenance priorities
Technology selected around evidence.
↳ Radiometric thermal and synchronized RGB capture
↳ Module/table/block spatial indexing
↳ Human-reviewed anomaly classification
↳ Portfolio dashboard and repeat-inspection comparison
Deliverables that enter the workflow.
↳ Georeferenced thermal orthomosaic and RGB map
↳ Anomaly register with evidence and coordinates
↳ Plant and portfolio summary by defect class
↳ Falcon AI issue ownership, status and reports
No universal centimetre promise.
Achievable accuracy depends on sensor, altitude, control, geometry, terrain, access and the intended output. SurveyCopter specifies the target for the project and reports it against independent checks where the method supports quantitative survey.
Raw imagery, control observations, processing records and accepted outputs remain traceable. Where vegetation, reflective surfaces, occlusion or operating restrictions affect completeness, those limitations are recorded with the delivery.
Bring the site.
We will define the evidence chain.
Share the location, area, site constraints, intended decision, coordinate reference, required outputs and programme. The response will separate assumptions from verified scope and identify where aerial, ground, LiDAR, thermal, BIM or platform methods belong.
Scope this project ↗YOUR NEXT SITE
STARTS HERE
Bring us the
complex ground.
Tell us about the site, the decision, or the uncertainty. We’ll define the right capture and intelligence workflow.