PROVEN RESULTS

Our Case Studies

Real projects. Real data. See how AiRotor Labs delivers measurable ROI through AI-powered drone inspections across India's renewable energy and infrastructure sectors.

SOLAR INSPECTION
Leading Solar IPP Bhadla, Rajasthan 5 days

200 MW Solar Farm Thermographic Inspection

THE CHALLENGE

A 200 MW utility-scale solar farm spread across 1,000+ acres was experiencing unexplained generation losses of 8-12% during peak summer months. Traditional ground-based inspection teams could only sample 10-15% of panels, missing systematic defects.

OUR SOLUTION

AiRotor deployed DJI Matrice 350 RTK drones equipped with Zenmuse H30T dual thermal-RGB sensors. Autonomous flight missions at 20m AGL with 70% overlap achieved 100% panel coverage. AiServe AI platform processed 45,000+ thermal and RGB images.

6,200+
Hot spots detected and geo-tagged
48 hrs
Complete AI-classified report delivery
94%
Defect detection accuracy vs. ground truth
₹18L
Estimated annual revenue recovery after fixes
IMPACT

The inspection revealed 340+ bypass diode failures, 1,800+ soiling hot spots, and 12 string-level PID clusters — most invisible to ground crews. Targeted maintenance restored 9.3% of lost generation within 30 days.

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WIND TURBINE INSPECTION
RotorTech Kutch, Gujarat 12 days

85-Turbine Wind Farm Blade Inspection

THE CHALLENGE

An 85-turbine onshore wind farm with 2.1 MW turbines required annual blade inspection. Traditional rope-access crews could inspect only 2-3 turbines per day, needed turbine shutdown, and posed significant safety risks in high-wind conditions.

OUR SOLUTION

AiRotor used high-resolution 45 MP cameras mounted on custom-built drones with GPS-stabilized hovering. Each turbine was inspected in 25-30 minutes without shutdown, capturing blade surfaces at 0.3 mm/px resolution from hub to tip across all three blades.

85
Turbines inspected (255 blades total)
3x
Faster than rope-access inspection
0
Turbine downtime during inspection
47
Critical blade defects identified
IMPACT

Detected 47 leading-edge erosion zones, 18 lightning strike marks, and 6 structural cracks — 3 of which were rated critical and repaired within the month, preventing potential blade failure during monsoon season.

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VEGETATION INTELLIGENCE
Vikram Solar Nokhra, Rajasthan Seasonal program

300 MW Solar Farm Vegetation Monitoring

THE CHALLENGE

A 300 MW utility-scale solar farm at Nokhra was spending heavily on blanket mowing across the entire site on a fixed calendar. Despite this, vegetation regrowth between cycles caused recurring shading losses, hotspot formation, and fire-risk audit flags during monsoon and post-monsoon months.

OUR SOLUTION

AiRotor deployed the in-house AG-1 multirotor with a 5-band multispectral sensor (Blue, Green, Red, Red-Edge, NIR) at 3-5 cm/px GSD. Fortnightly flights during growth season captured NDVI orthomosaics across the full 1,500+ acre site. AI segmented vegetation from panels, roads and bare soil, ranking growth zones by severity and issuing GPS work orders for targeted intervention only.

45%
Reduction in vegetation management spend
2.1%
Annual energy yield recovered from prevented shading
93%
Of mowing effort redirected to flagged zones only
0
Shading events reaching module height
IMPACT

Baseline NDVI mapping identified residual root systems and moisture pockets across 12% of the site. Fortnightly growth-rate tracking predicted breach zones 2-3 weeks before vegetation was visible to the eye. Targeted herbicide and trim work orders replaced blanket mowing, cutting vegetation spend by 45% while recovering 2.1% annual yield previously lost to shading. Zero emergency mows required across the full monsoon season.

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NIGHT SURVEILLANCE
UGVCL North Gujarat 14 nights

Night Drone Surveillance for Powerline Theft Detection

THE CHALLENGE

UGVCL was facing significant revenue losses due to rampant powerline theft and illegal tapping across rural distribution networks in North Gujarat. Ground patrols were ineffective at night — the peak period for theft activity — and covered only a fraction of the vulnerable corridor. Repeated theft at the same locations indicated organized activity that traditional surveillance could not deter.

OUR SOLUTION

AiRotor deployed thermal-equipped drones for night surveillance missions across high-theft corridors. Thermal imaging detected human activity and unauthorized connections invisible in darkness, while GPS-tagged evidence was relayed to UGVCL enforcement teams in real time. Drones covered 15-20 km per night sortie, focusing on repeat-offence zones identified from UGVCL's loss data.

14
Night surveillance sorties conducted
38
Illegal tapping points detected via thermal
200+ km
Distribution corridor surveyed at night
70%
Reduction in theft incidents post-deployment
IMPACT

Thermal drone surveillance identified 38 illegal tapping points and unauthorized connections across the surveyed corridor, with GPS-tagged evidence provided directly to UGVCL enforcement. The visible drone presence combined with rapid detection led to a 70% drop in theft incidents in the monitored zones, significantly reducing distribution losses and serving as a scalable deterrent model for other GEBs.

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LAND SURVEY & MAPPING
Infrastructure Developer Dholera SIR, Gujarat 4 days

500-Acre Industrial Zone Topographical Survey

THE CHALLENGE

A 500-acre plot within the Dholera Special Investment Region needed detailed topographical survey for an upcoming industrial park development. Traditional total-station survey would take 4-6 weeks and cost significantly more.

OUR SOLUTION

AiRotor deployed PPK-enabled drones with RTK base station, flying at 80m AGL with 80% frontal and 70% side overlap. Ground control points placed at 200m intervals ensured sub-centimeter accuracy. Photogrammetric processing generated orthomosaics, DSM, DTM, and contour maps.

500 acres
Surveyed in 4 days (vs. 6 weeks traditional)
2 cm
Horizontal accuracy achieved
5 cm
Vertical accuracy (RTK + GCPs)
80%
Cost savings vs. traditional survey
IMPACT

Delivered a complete deliverable package — georeferenced orthomosaic, digital surface model, digital terrain model, and 0.5m contour maps — enabling the civil engineering team to begin grading design within a week of survey completion.

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