Indavian deploys autonomous drones and machine-learning analytics to find energy faults faster, cut downtime, and secure critical infrastructure — from solar farms to sensitive perimeters.
From autonomous energy inspections to AI-powered security surveillance — we cover the full aerial intelligence lifecycle for your assets.
High-resolution thermal imaging identifies hotspots, cell cracks, soiling, and bypass-diode failures across utility-scale solar farms.
Close-range drone flights capture blade erosion, surface cracks, leading-edge damage and lightning strike indicators with millimetre precision.
Our proprietary neural networks process thermal and RGB imagery in real time, classifying defect severity and flagging urgent maintenance actions.
Interactive dashboards and IEC-compliant PDF reports give asset managers complete visibility into plant health, performance loss, and ROI.
24/7 thermal and RGB drone surveillance with edge AI analytics — detecting intrusions, monitoring critical infrastructure, and securing large perimeters in real time.
Bespoke inspection designs for special assets — floating solar, agrivoltaics, bifacial arrays, rooftop IPPs, and offshore wind platforms.
A streamlined four-step process turns drone flights into actionable maintenance intelligence — delivered within 48 hours.
We design optimised flight paths calibrated to your plant layout, irradiance conditions, and camera specifications for maximum thermal contrast.
DGCA-compliant drones execute automated flights capturing radiometric TIFF and 4K RGB imagery at consistent altitude and speed.
Our cloud platform processes every frame — detecting hotspots, classifying defect types, and calculating temperature differentials per module.
Ranked defect lists, geo-tagged annotations, and IEC 62446-3 reports are delivered to your team with maintenance priority ratings.
Calibrated FLIR Tau2 and DJI Zenmuse XT2 sensors capture absolute temperature data — not just images — enabling precise defect classification.
Trained on 2M+ annotated thermal frames, our model classifies 18 defect categories with 98% precision and <2% false-positive rate.
RTK GPS and photogrammetry tie every defect to a specific module row and string, eliminating guesswork during corrective maintenance.
Real-time dashboards track plant health trends, benchmark performance across sites, and push automated alerts for critical faults.
Trusted by O&M teams, EPC contractors, and independent power producers across India.
Indavian's team identified 47 hotspot faults that our ground inspection had missed entirely. Their report allowed us to recover 2.1% lost generation within two weeks.
The turnaround was incredible — 500 MW inspected, reports delivered in 48 hours. The geo-tagged defect maps made field work dramatically faster for our technicians.
Their wind blade inspection service is exceptional. We caught leading-edge erosion on three turbines before it progressed to structural damage. The ROI was immediate.
Founded in 2024, Indavian set out to solve one of renewable energy's most persistent problems: invisible faults that silently drain yield.
India has committed to 500 GW of renewable energy by 2030. Reaching that goal means not just building new capacity — it means keeping every existing megawatt performing at its best.
Indavian bridges the gap between cutting-edge aerospace imaging technology and the practical needs of solar and wind asset managers. Our systems combine DGCA-certified drone operations, calibrated radiometric sensors, and proprietary deep-learning models to deliver inspection intelligence that is faster, safer, and more accurate than any ground-based alternative.
Today we have inspected over 500 MW of solar capacity and 120 wind turbines, recovering millions in lost revenue for our clients — and we're expanding our capabilities into security surveillance for critical infrastructure.
We never compromise on data quality. Every flight is planned for optimal thermal contrast, and every result is validated before delivery.
We embed with your O&M team to understand your asset, your constraints, and your priorities. Your success is our success.
Every megawatt we recover from a faulty solar array is clean energy displacing fossil generation. Our work drives India's energy transition.
Our team publishes research, collaborates with IITs, and continuously improves our detection models at the frontier of drone technology.
All operations are DGCA-certified and fully insured. We follow strict airspace protocols and take zero shortcuts on safety.
48-hour report turnaround is our standard, not our aspiration. Cloud processing pipelines ensure you get intelligence while the fault is fresh.
CEO & Founder
Sales and Product Manager
Comprehensive aerial thermography and visual inspection for utility-scale solar PV plants — finding every fault before it costs you yield.
Our thermal cameras and AI models detect 18 distinct defect categories across monocrystalline, polycrystalline, and bifacial PV modules.
Cell-level hotspots caused by partial shading, soiling, or cell damage show up as temperature anomalies of 5–40°C above ambient. Our system detects hotspots as small as a single solar cell.
Failed bypass diodes force entire cell strings to run at reduced output. We identify bypass failures with near-100% accuracy and flag affected strings for immediate replacement.
Open-circuit or high-resistance connections appear as cooler-than-expected thermal signatures. Our platform maps every underperforming string back to its physical location in the field.
Bird droppings, dust accumulation, and vegetation shading are identified in both thermal and RGB imagery. We distinguish temporary soiling from permanent micro-crack shading.
Advanced thermal analysis identifies crack-induced current mismatch patterns invisible to standard visual inspection. Combined with high-resolution RGB, we estimate crack severity.
RGB photogrammetry identifies delamination, glass breakage, frame bending, mounting hardware corrosion, and tracker misalignment before these physical defects cause electrical faults.
Close-proximity drone surveys of wind turbine blades, nacelles, and towers — detecting structural faults before they ground your turbines.
Wind turbine blades are up to 80 metres long and rotate at high speed in harsh environments. Our drones inspect all surfaces at 1mm resolution without requiring blade lockout.
Lightning strikes leave carbon burn tracks, delamination voids, and leading-edge punctures. Our thermal and RGB capture detects even subsurface damage that is invisible to visual inspection from the nacelle or ground.
Rain and particulate erosion wears away the leading edge over time, increasing drag and reducing AEP by up to 5%. Our photogrammetric models quantify erosion depth and surface roughness for targeted repair.
Fibre delamination and surface cracks in the glass-fibre laminate propagate rapidly under fatigue loading. Early detection prevents catastrophic blade failure and multi-million rupee replacement costs.
Adhesive bond failures at the trailing edge cause aerodynamic noise and progressive delamination. Drone imagery captures the full span of trailing-edge integrity at millimetre resolution.
Surface coating failures expose the laminate to UV degradation and moisture ingress. RGB and multispectral imaging identifies gelcoat cracking, blistering, and paint loss across all blade surfaces.
We survey tower welds, flange connections, corrosion hotspots, cooling system anomalies on nacelles, and drainage channel blockages — a complete structural assessment in one mobilisation.
Our proprietary deep learning platform processes thermal and RGB drone imagery to identify, classify, and prioritise every defect in your energy assets — automatically.
Indavian's detection engine is built on a custom convolutional neural network architecture trained exclusively on annotated energy-asset imagery — not generic image datasets.
Our training dataset spans 500+ MW of solar inspections and 120+ wind turbines, covering all major panel manufacturers, module types, and climate zones across India.
The model distinguishes between 18 defect categories including hotspots, bypass diode failures, open strings, cell cracks, soiling, delamination, and PID effects — each requiring a different maintenance response.
Every detected defect is assigned GPS coordinates accurate to ±10 cm using RTK post-processing. Defects are mapped to module row, string ID, and combiner box — ready for your field maintenance team.
Defects are graded P1 (critical), P2 (moderate), or P3 (monitor) based on temperature differential, affected area, and estimated yield impact.
Our energy modelling module calculates the estimated annual energy loss attributable to each defect cluster, helping asset managers quantify the ROI of repair activities.
Transform inspection data into strategic asset intelligence with interactive dashboards, trend analysis, and IEC-compliant reports that drive smarter O&M decisions.
The Indavian Analytics Platform aggregates inspection results, performance data, and maintenance records into a single source of truth for your asset team.
Geo-referenced defect maps overlay inspection findings on your plant layout. Filter by defect type, severity, or date range. Export to CAD, KMZ, or shapefile.
Compare inspection results across quarters and years to track degradation rates and identify recurring fault hotspots. Early trend detection prevents reactive repairs.
Benchmark each site against the portfolio average — helping you identify underperformers and replicate the practices of top-performing sites.
Automatically generated PDF inspection reports comply with IEC 62446-3 (solar) and DNVGL-ST-0376 (wind) standards — ready for lender reporting and insurance claims.
Set threshold-based alerts for critical fault counts or unusual degradation rates. Notifications pushed to email, WhatsApp, or your CMMS via webhook.
Connect the Indavian Platform to your existing SCADA, ERP, or CMMS systems via REST API. Defect data flows directly into your maintenance workflow.
AI-powered thermal and RGB drone surveillance with real-time image analytics — providing 24/7 aerial security for critical infrastructure, industrial sites, and large perimeters across India.
Our FLIR thermal and 4K RGB drone fleet, powered by edge AI analytics, provides actionable intelligence across a wide range of security and surveillance use cases.
Thermal drones detect human and vehicle movement along facility perimeters in complete darkness or adverse weather. Our AI classifies motion signatures, assigns threat levels, and triggers geo-stamped alerts — differentiating personnel from wildlife to minimise false alarms. Coverage of up to 5 km² per sortie with alert-to-operator response under 30 seconds.
Power plants, electrical substations, oil & gas facilities, data centres, and telecom towers monitored with layered aerial coverage. Dual-sensor drones capture thermal signatures revealing unauthorized access attempts before physical breach — enabling preventive response rather than incident reaction. Supports integration with existing access control and CCTV systems.
Round-the-clock aerial monitoring prevents theft, vandalism, and unauthorized access at construction sites, material yards, equipment depots, and remote assets. Timestamped HD video evidence and geo-tagged incident records support insurance claims and legal proceedings. Proven to reduce on-site theft incidents by up to 70% through deterrence and rapid response.
Aerial overview for public events, political rallies, religious gatherings, and sports venues. AI-powered crowd density mapping, anomaly detection, and predictive bottleneck analysis delivers a bird's-eye intelligence layer that helps ground security teams maintain safety and manage entry/exit flows. Operates discreetly without fixed camera installations.
Thermal drones patrol protected forest areas for anti-poaching operations, illegal encroachment detection, and early wildfire identification. Infrared imaging enables silent night patrols that track movements without disturbing ecosystems. Proven to reduce poaching incidents by 35%+ through persistent aerial deterrence and real-time ranger coordination.
Continuous monitoring of manufacturing plants, warehouses, logistics hubs, and chemical storage facilities. Programmable autonomous patrol routes run at scheduled intervals or on-demand. Configurable restricted zones trigger instant alerts on entry. Combined thermal and RGB feeds enable simultaneous security monitoring and facility health checks.
Every Indavian surveillance drone carries both a calibrated FLIR thermal camera and a 4K RGB daylight camera, capturing complete intelligence across all lighting conditions.
640×512 uncooled VOx microbolometer sensor. Detects human body heat signatures up to 300 m in complete darkness, through smoke, and in rain. Differentiates humans, vehicles, and animals via AI thermal signature classification.
Sony CMOS sensor with 4K/30fps capability and 30× optical zoom enables identification of number plates, faces, and markings at long stand-off distances. Dual recording stream with AES-256 encryption for evidential integrity.
ResNet-based people and vehicle detection model runs directly on-board the drone at 30 fps — no cloud round-trip required. Threat classifications trigger instant RF alerts to the control station and mobile operator devices.
Define no-go zones, alert perimeters, and watch areas on a digital site map. Live encrypted video streamed to command centre and mobile devices via 4G/LTE datalink. Incident clips auto-archived to cloud with GPS coordinates and timestamps.
Our end-to-end surveillance deployment process ensures every site is fully covered from day one, with continuous improvement through AI-driven analytics.
Our security engineers conduct a thorough on-site threat assessment: perimeter mapping, vulnerability identification, restricted zone definition, and flight path design calibrated to your specific risk profile and operational constraints.
Calibrated thermal and RGB sensor configuration, autonomous patrol route programming, and integration with your existing security control centre infrastructure. Operators receive training on the live dashboard, alert management, and incident response protocols.
Drones execute scheduled patrol routes autonomously or on-demand. Edge AI processes every thermal and visual frame in real time — triggering instant mobile and control centre alerts for detected intrusions, with geo-tagged video clips and threat classification.
Geo-tagged incident records with timestamped video evidence are automatically logged to cloud storage. Daily patrol summaries and monthly security analytics reports track threat trends, patrol coverage, and system performance — providing a defensible audit trail for insurance and compliance.
A single drone covers the equivalent of 50+ fixed cameras, eliminating blind spots and reducing hardware capex by up to 80%.
FLIR thermal cameras detect human body heat signatures in complete darkness — where traditional CCTV and PTZ cameras fail entirely.
A visible drone response within seconds of detection is a far stronger deterrent than passive monitoring alone, often ending incidents before they escalate.
Geo-tagged, timestamped, AES-encrypted video evidence is admissible in legal proceedings and satisfies insurance policy documentation requirements.
All Indavian surveillance operations are conducted under valid DGCA Remote Pilot Licence and UAV operator certificates, with full liability insurance coverage.
Solar plants, substations, pipelines
Sites, material yards, equipment
Borders, sensitive installations
Cargo yards, warehouses, docks
Anti-poaching, fire detection
Crowd monitoring, VIP protection
Secure facilities, hazmat zones
Server facilities, bank campuses
Case studies, technical guides, and industry insights from Indavian's team of drone and energy engineers.
Whether you need a quote, a demo, or just have a question — our team typically responds within 4 business hours.
We work with IPPs, EPC contractors, O&M operators, security managers, and insurance companies across India. Tell us about your needs.
1016 Solus, Hiranandani Estate, Thane Maharashtra - 400607
vivek.walmiki@indavian.com
9326290414
Mon–Sat, 9:00 AM – 6:30 PM IST
Thank you for reaching out. A member of our team will get back to you within 4 business hours.
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