Utility-Scale Drone Solar Inspection Services in India

Radiometric thermal + RGB aerial mapping identifies hotspots, PID, bypass diode failures, and micro-cracks manual site walkthroughs miss. Track every localized anomaly straight to a live digital twin dashboard under active load conditions. Fully DGCA-certified, IEC 62446-3 compliant. Zero shutdown required.

5+ lakh
Drone Flights Completed
34+ GW
Solar Assets Inspected
2.3+ lakh
Hectares Surveyed

210+ Cr

Saved in Operational Costs

13,000+

Rooftop Surveys Completed
What Is It

Drone Solar Panel Inspection

Drone solar panel inspection also called aerial thermography for solar PV or UAV photovoltaic inspection uses radiometric thermal UAVs to scan entire arrays from above, capturing the temperature anomalies that indicate module-level defects. A DGCA-licensed pilot flies a calibrated grid pattern over each panel row, recording thermal and visible-light imagery in the same pass.
 
The processed output is a geo-tagged defect map, an IEC 62446-3 aligned report and, uniquely at Lesoko, a live dashboard that your O&M team can log into and track from detection through resolution.
 
Manual walkthroughs catch surface damage only. I-V curve tracing finds electrical faults but needs partial shutdown and heavy field time at scale. Aerial thermography covers a utility-scale solar asset in a fraction of the time, surfacing defects both older methods routinely miss while the plant keeps generating.

Drone projecting thermal scan beam onto single solar panel showing orange cell-level heat overlay during inspection
Drone projecting thermal scanning beam over utility-scale solar farm with orange heat overlay on scanned panel section
The Gap

What manual inspection and SCADA both miss

Manual walkthroughs miss early-stage faults

Ground inspection works for post-storm visual assessment, while SCADA only tracks string-level output drops. Neither catches early-stage hotspots, PID, or bypass diode faults across thousands of modules. The defects that compound quietly for months before anyone notices.

SCADA reports loss after it happens

String-level underperformance rarely shows up in SCADA until the cumulative yield loss is already operationally significant. By the time an alert fires, the revenue is already gone.

Field access carries real safety exposure

Field access at height and around live strings requires fall protection and permit-to-work processes most O&M teams would rather not run routinely. Without module-level, geo-tagged documentation, lender audits and warranty claims also lack the evidence base they require.

Radiometric thermal aerial image of utility-scale solar farm showing panel arrays in yellow-orange against purple cooler terrain
Process

How the inspection process works

1

Pre-Flight Planning

Survey date confirmed with the site representative, DGCA no-fly zone check, weather-window verification, and flight-path design against the array layout.

2

Site risk assessment

On-site toolbox talk with client personnel, blocks/trackers requiring inspection re-confirmed, obstacle survey (altitude raised 15 m above any obstruction).

3

Flight execution

Licensed pilot flies under IEC 62446-3 irradiance conditions (600+ W/m², or panel temperature above 30°C), parallel to panel rows with 10 m overlap between KML boundaries.

4

Thermal + Visual Capture

RGB mapping at 80% front / 70% side overlap. Thermal mapping at the same overlap ratios, altitude set by roof or array height. Both datasets geo-tagged at module level.

5

Defect Analysis

Engineer-led thermal anomaly detection and IEC 62446-3 severity classification. Visible-light imagery is overlaid on thermal data to eliminate soiling-driven false positives before the register is finalized.

6

Defect report delivery

Engineer-verified output typically within 24-48 hours of flight completion, scaled to site size: geo-tagged defect maps, maintenance prioritization sheets, executive dashboard, and live access to Lesoko's defect-tracking platform.

Defect Detection

Defects detected by aerial thermography

Radiometric thermal sensors identify twelve distinct fault categories across Lesoko’s inspection history. Every one causes measurable production loss or safety risk, and none are visible to the naked eye until they have already compounded.

Radiometric thermal image of solar panel with single cell-level hotspot highlighted by green bounding box

Hotspot​

Cell-level temperature spike from mismatch, micro-cracks or partial soiling. Elevates fire risk and degrades string output if unresolved.
Close-up of solar panel with severely shattered glass across full module surface between undamaged panels

Damage

Glass breakage, cell cracks, or frame damage compromising module integrity. Increases arc-fault risk and reduces generation capacity.
Aerial thermal image showing string reverse polarity fault with bright cell clusters across lower panel row

String Reverse Polarity

Positive and negative connections of a string reversed at the combiner box. Current flows backwards, dissipating the string's power as heat.
Radiometric thermal image showing open circuit fault with irregular hotspot pattern across solar panel strings

Open Circuit

A break or disconnect in the electrical path. No current, no heat signature. The affected module or string produces zero output.
Aerial view of solar farm rows with diagonal shadow shading cast across multiple panel strings

Shadow & Shading

Objects or structures casting shade on modules, reducing efficiency and inducing reverse-bias stress on shaded cells.
Aerial thermal image showing multiple distributed hotspot anomalies across solar panel strings

Multiple Hotspots

Two or more hotspot zones within a single module, indicating advanced cell degradation or sustained mismatch.
Aerial view of solar panels with visible dust and soiling streaks, one soiled module highlighted in red

Dust & Soiling

Particulate accumulation reducing irradiance absorption. The top efficiency-loss factor in India's dry climate, seen heavily in Rajasthan and Gujarat.
Thermal image showing irregular patchwork heat pattern on solar module consistent with PID

PID / Patchwork & Water Ingress

Potential-induced degradation shows as a patchwork thermal pattern across a module; water stagnation and ingress accelerate corrosion at junction points.
Aerial view of rooftop solar panels with heavy bird dropping contamination across multiple modules and frames

Bird Droppings

Localized shading and contamination that accelerates cell-level degradation particularly prevalent at coastal and floating solar sites.
Thermal image of solar panel string glowing uniformly orange, indicating bypass diode failure

Bypass Diode Failure

A failed diode causes part of the string to heat uniformly as it dissipates power that should be flowing through the circuit.
Aerial view of vegetation growing through ground-mounted solar panels, highlighted with green bounding box

Vegetation Overgrowth

Plant growth causing persistent shading, structural stress and fire risk in ground-mount systems, common at sites with lapsed vegetation management
Thermal image with annotated hotspot flagged on solar module during inspection

Module Hotspot

The entire module surface heats homogeneously, typically pointing to a connector or junction-box fault rather than a single cell.
Key Benefits

Why solar asset owners choose aerial thermography

Lender-grade documentation

Geo-tagged defect evidence and IEC 62446-3 aligned documentation formatted for direct use in technical due diligence.

Module-level GPS tagging

Every anomaly geo-tagged with exact coordinates so maintenance teams locate defects without re-inspection.

Live defect dashboard

Track every defect from detection through resolution not a one-time PDF that goes stale the day it's opened.

Preventive, not reactive

Scheduled surveys catch defects before they compound, well ahead of the SCADA alert that signals loss already accrued.

Zero production downtime

Panels stay energized throughout the survey. A technical requirement for accurate defect detection, not a constraint.

Proven operational ROI

₹210+ Cr in operational savings enabled across Lesoko's inspection portfolio, measured against revenue lost to unresolved anomalies.

Radiometric standards

Temperature-accurate data (not visual-only imagery) meeting the sensor and documentation standard lenders require.

Fast, engineer-verified reports

Industry-standard turnaround is 3-7 days. Lesoko delivers within 24-48 hours of flight completion, depending on site scale.

DJI drone flying over large industrial complex with rooftop solar panels installed across multiple warehouse buildings
Technical Methodology

Radiometric vs non-radiometric thermal sensing

Radiometric sensors record an absolute temperature value per pixel, enabling defect classification by exact temperature differential. Lesoko deploys 640×512 resolution sensors with 0.05°C thermal sensitivity, capturing heat anomalies invisible to standard cameras.

Non-radiometric thermal cameras only show relative heat patterns and cannot produce IEC 62446-3 aligned output — the distinction that decides whether a report is acceptable to a lender, insurer, or independent technical auditor.

Where a deeper root-cause diagnosis is needed on flagged modules for example, a recurring hotspot with no obvious external cause Lesoko coordinates ground-level electroluminescence (EL) imaging or I-V curve testing as a complementary follow-up step, since these methods require de-energized or low-light conditions that a flight cannot replicate.

What affects thermal data quality on the ground

Soiling False Positives

Soiling deposits closely resemble early-stage hotspot defects in thermal imagery. Engineers overlay visible-light imagery over thermal data to eliminate soiling-induced false positives before the defect report is issued.

Tracker Tilt & Single-Axis Systems

Single-axis tracker panels require inspection at fixed tilt angles during peak irradiance. Tracker position is coordinated with plant operations before flight scheduling on all tracker-equipped sites.

 

Sun Angle & Irradiance Timing

Radiometric data quality degrades when sun angle is below 30° from horizontal. Inspection flights are scheduled around peak irradiance windows, typically mid-morning to early afternoon.

 

Inverter Mismatch Overlap

Inverter mismatch signatures can overlap with electrical fault thermal patterns. Every report includes engineer-reviewed classification before final defect register issuance to distinguish these accurately.

 
Who This Is For

Built for the people who answer for plant performance

Solar O&M Managers

EPC Heads (Renewable Energy)

IPPs & DISCOMs

Compliance, Safety & Data Governance

Every inspection runs under DGCA drone regulations, registered aircraft, certified Remote Pilots, and cleared flight permissions for the site’s airspace category. An on-site safety toolbox talk with client personnel precedes every flight, covering wind conditions, bird activity, and any site-specific hazards before the drone leaves the ground.

Defect classification methodology follows IEC TS 62446-3:2017 — the technical specification covering outdoor infrared thermography for photovoltaic modules and plants. so the severity bands in your report map to a recognized reference point rather than an internal-only scale. Site data and imagery are handled under confidentiality terms, with NDA coverage available on request.

Aerial radiometric thermal image of rooftop solar panels showing purple-orange temperature variation across the array
Aerial photo of rooftop solar panel rows along a building edge with maintenance walkway and ground visible below

Service Coverage Across India

Lesoko deploys within 48 hours for sites above 10 MW. Completed inspection projects span Tamil Nadu, Karnataka, Gujarat, Rajasthan, Maharashtra, Andhra Pradesh and Telangana. Same-day deployment is available in Chennai, Bengaluru and Hyderabad.

Arid vs coastal sites

Dust accumulation patterns differ sharply between arid sites (Rajasthan, Gujarat) and coastal installations (Tamil Nadu, Kerala). Arid sites see higher soiling false-positive rates; coastal and floating sites carry elevated junction-box corrosion and bird-drop risk. Inspection protocols are adjusted per region.

Monsoon season restrictions

Drone operations across peninsular India are restricted June–September due to monsoon wind and rainfall. Pre-monsoon (March–May) and post-monsoon (October–November) windows deliver the most operationally useful data.

Pricing

Inspection cost and pricing structure

Drone solar panel inspection pricing is project-specific. No two sites share identical requirements. Larger sites benefit from lower per-MW cost due to deployment efficiency and multi-site portfolios within a region can reduce costs further.

Inspection spend is typically a small fraction of the operational savings enabled by early defect detection. ₹210 Cr+ in operational savings has been enabled across Lesoko’s inspection portfolio, measured against estimated revenue loss from unresolved production anomalies. Inspection reports are formatted for direct use in lender technical due diligence, reducing documentation overhead for EPC and IPP procurement teams.

Pricing variables that determine inspection scope and cost

Proven Results
Real Projects.
Measurable Impact.
📍 Andhra Pradesh · 600KW Rooftop Solar Plant

A 600KW rooftop solar power plant was inspected after reporting a steady drop in output. Regular dust accumulation was the primary suspected cause. Lesoko's drone flew for just 1.5 hours and delivered cell-level defect mapping across all 1,430 modules — enabling the O&M team to take same-day action.

Capacity
600 KW
Modules
1,430 NOS
Module Type
Mono Crystalline
Flight Duration
1.5 Hours

Outcomes Achieved

185KW total loss identified across 4 defect categories
148KW (80%) immediately recovered after cleaning + shadow removal
₹1,036/day in generation savings recovered
30% → 24% loss reduction — O&M team revised maintenance frequency

Defect Breakdown — % of 600KW

Soiling
80KW · 13.3%
Bird Drop
51KW · 8.5%
Hotspot
37KW · 6.1%
Shadow
17KW · 2.8%
📍 Rajasthan · 60MW Ground-Mount Solar Plant

A major 60MW ground-mount plant in Rajasthan — prone to vegetation due to its environment — required thermal inspection as part of an asset transfer due-diligence process. Lesoko's drone covered all 1,90,476 modules over 36 hours, delivering a comprehensive module-level repair/replace report.

Capacity
60 MW
Modules
1,90,476 NOS
Module Type
Mono Crystalline
Flight Duration
36 Hours

Outcomes Achieved

12,186 modules flagged for repair (diode failure — 6.4%)
59,968 modules flagged for replacement (hotspot — 31.5%)
203 modules cleaned immediately post-inspection
Full due-diligence report delivered for asset transfer decision

Defect Breakdown — % of 60MW

Hotspot
19MW · 31.5%
Diode Failure
3.6MW · 6.4%
Dust
63KW · 0.1%
📍 India · 31.4MW Floating Solar Power Plant

A 31.4MW floating solar installation experienced persistent performance issues and suspected cable damage from aquatic wildlife (turtles, fish). Lesoko was deployed on a recurring basis to provide rapid defect data. Despite modules being cleaned the day before inspection, bird drop defects accounted for 11.4% of total plant capacity.

Capacity
31.4 MW
Modules
98,125 NOS
Module Type
Mono Crystalline
Inspection Type
Recurring

Outcomes Achieved

Bird drop identified as #1 defect (11.4% capacity) — day after cleaning
393 modules with PID patchwork pattern flagged for root cause analysis
Water stagnation & offline panels identified for immediate rectification
Recurring inspection contract established for continuous monitoring

Defect Breakdown — % of 31.4MW

Bird Drop
3.5MW · 11.4%
Hotspot
1MW · 2.27%
Diode Error
271KW · 0.8%
Shadow
229KW · 0.7%
Panel Offline
92KW · 0.3%
Water Stagnation
50KW · 0.015%

Watch Our Drone Solar Panel Inspection in Action

Our Amazing Clients

What Solar Plant Operators Say

We have had the opportunity to collaborate with Lesoko Technologies Pvt. Ltd. on multiple projects involving Rooftop Surveys, Topography Mapping, and Solar Thermal Inspection services. The experience of working with your team has been highly professional and technically impressive. Your team consistently delivered accurate survey data, high-quality mapping outputs, and detailed thermal inspection reports, which played a crucial role in project planning, defect identification, and performance assessment. The clarity of deliverables, strong technical expertise, and efficient coordination demonstrated by your team ensured smooth project execution across all assignments. Based on our experience, Lesoko Technologies Pvt. Ltd. has proven to be a dependable and technically capable partner for solar survey and inspection services, contributing significantly to the successful execution of our solar projects.

SKS Cleantech Pvt Ltd Sundar Iyer
What you receive

Project Deliverables & Sample Outputs

Aerial RGB drone image of solar panel rows captured during survey flight

Geo-tagged raw imagery

Radiometric thermal and RGB images captured across every row, geo-tagged for direct reference back to the array layout.
Georeferenced satellite map showing traced solar site block boundaries for survey reference

Georeferenced ortho map

A stitched plant-wide map with .KML/.KMZ export for straightforward review in Google Earth.
Interactive defect map showing inspected solar site blocks highlighted in orange overlay

Interactive defect map

Click any flagged module for its ID, defect type, criticality, block/row/table/panel reference, and max/min/delta temperature.
Excel summary table listing 786 solar panel defects by fault type for CMMS import

Defect list & summary (Excel)

A structured spreadsheet with ID, set/row/panel number, criticality, temperature readings, and fault type, ready for CMMS import.
Lesoko printed thermal defect map of 67MW ground mount solar site showing full array boundary with defect classification legend

PDF inspection report

Site details, methodology, sensor specifications, defect summary by category, and prioritized recommendations
Live dashboard showing 786 total defects and severity breakdown for solar plant inspection

Dashboard access

Project KPIs, severity breakdown, resolution status tracking, and downloadable Project Summary, Defect Report, AutoCAD Defect Layout, Cumulative Report, and KML report.

Request an Inspection Proposal for Your Solar Assets

Phone/ Whatsapp

+91 78457 26375/ 7845726374

Email Us

sales@lesoko.in

Head Office

2nd Floor, Chettinad Chambers, P.S.Sivasamy Salai 1st Street, Mylapore, Chennai, Tamil Nadu 600004

Get Your Inspection Quote

Frequently Asked Questions

Drone thermal inspection detects hotspots, multiple hotspots, bypass/strip diode failure, module hotspots, string reverse polarity, open circuits, PID, micro-cracks, soiling, shadow and shading, physical damage, bird droppings, vegetation encroachment and water ingress. Radiometric sensors detect temperature differences invisible to the naked eye, identifying far more fault types than manual visual inspection.

 

Every anomaly is classified by ΔT — the temperature differential against the surrounding panel: 0–5°C is Low Impact (no action needed), 5–10°C is Medium Impact (check and rectify within a reasonable period), and above 10°C is High Impact (prompt interruption of operation, often a candidate for I-V curve root-cause testing).

 
 
Both. Every inspection is delivered as a full PDF/Excel report plus access to a client dashboard, where defects are geo-tagged on an inspection map, filterable by severity and status, assignable to maintenance teams, and trackable from Defective through In Progress to Resolved across every inspection cycle.
 
 
Pricing is determined by MW capacity, terrain complexity, travel requirements, report depth and turnaround timeline. Utility-scale farms above 10 MW benefit from lower per-MW rates due to deployment efficiency, and sites within the same state can be bundled into a single mobilization to reduce cost further. Share plant capacity and a layout map for a project-specific quote within 24 hours.
 
 
No. Aerial thermography operates while panels remain fully energized and under load. This is a technical requirement, not a constraint. Hotspots, bypass diode failures and PID signatures only produce a detectable heat differential when the module is under electrical load; a de-energized panel produces no thermal differential at all.
 
Radiometric thermal drones with 640×512 sensors and 0.05°C thermal sensitivity detect temperature differentials as small as a fraction of a degree. At sub-5 cm/pixel ground sampling distance, individual cell-level defects within a standard module are distinguishable. False-positive rates are minimized through engineer review, overlaying visible-light imagery on thermal data to separate soiling-induced heat signatures from genuine electrical faults.
 
Visual (RGB) inspection detects physical damage, glass cracks, soiling, vegetation overgrowth, bird droppings and structural deformation. Thermal inspection using radiometric sensors detects electrical and performance faults, such as hotspots, diode failures, PID, micro-cracks that produce heat anomalies invisible to standard cameras. Both are captured simultaneously in a single pass.
 
 

Annual aerial thermography is the minimum recommended frequency for utility-scale assets. High-capacity farms above 100 MW benefit from bi-annual surveys, and post-storm or post-hail inspections should be triggered by the event itself, regardless of the scheduled cycle.

 
IEC 62446-3 is the international standard governing thermographic inspection of photovoltaic systems. It defines minimum irradiance thresholds, maximum wind speed and cloud cover, and required inspection-report documentation. Reports aligned to it are more readily accepted by lenders, insurance underwriters and independent technical auditors; conversely, non-aligned reports may face additional scrutiny regardless of image quality.
 
 

Within 48 hours for sites above 10 MW across India, with same-day deployment available in Chennai, Bengaluru and Hyderabad. Restricted-airspace sites near airports or defence installations require a minimum 10-day lead time to complete DGCA permission filing, and remote sites need multi-day logistical planning factored into the timeline.

 
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