AI Solar PV Inspection · No-Code

Inspect every panel from the air.

FlyPix AI is the no-code solar farm assessment software that detects and counts panels, finds hotspots and defects, and assesses sites across drone, thermal, and satellite imagery — covering whole farms per flight and saving up to 99.7% of manual inspection time.

★★★★★Trusted by 10,000+ geospatial users · No credit card required
PV SCAN · LIVE
SRC drone + thermal
SITE 120 MW · 340,000 panels
FAULTS 1,842 flagged · Δ +0.9%
Scroll to explore
Backed & powered by NVIDIA Inception Program Google for Startups IBM for Startups ESA BIC Hessen
The Benchmark

Inspecting one array by hand takes 997 seconds.
FlyPix AI takes 3.

A utility-scale solar farm can hold hundreds of thousands of panels across hundreds of hectares. Walking the rows or scrubbing thermal footage frame by frame does not scale. FlyPix AI detects every panel and every fault in one pass, so inspection keeps pace with each flight.

Manual review
997s
to review one dense scene by hand

Technicians walk rows or scrub thermal video panel by panel. Hotspots are missed, locations are vague, and reports land long after the underperformance starts costing yield.

VS
AI analysis by FlyPix
3s
for the same scene, fully detected

Up to 99.7% time saved. Consistent, georeferenced fault maps with panel-level locations you can track over time and export straight into your GIS and asset-management tools.

99.7%
Time saved vs. manual
10,000+
Active users
6+
Data formats supported
100,000+
Panels inspected per flight
What is solar farm assessment software?

AI PV inspection and site assessment, without the code.

Solar farm assessment software is a tool that analyses imagery of photovoltaic sites to detect panels, find faults, and evaluate site conditions and performance. FlyPix AI is a no-code platform that uses artificial intelligence to detect and count panels, surface hotspots, soiling, and defects, and assess land suitability across drone, thermal, and satellite imagery. You upload your captures, and the engine maps every panel and every fault to its exact location — turning days of manual inspection into minutes of decision-ready insight.

Capabilities

Everything you need to assess a solar farm

One platform to detect, count, inspect, and monitor across every site you capture — from a rooftop array to a utility-scale farm.

Panel detection & counting

Detect, count, and locate every PV panel and module across an entire site in a single automated pass.

Thermal hotspot detection

Pinpoint hotspots, hot cells, and string failures in thermal imagery before they erode yield.

Defect & soiling analysis

Flag cracks, dirt, shading, and physical damage panel by panel, mapped to exact coordinates.

Site & land assessment

Evaluate terrain, slope, and land cover for new builds and quantify usable area for site suitability.

Vegetation encroachment

Spot grass, weeds, and growth shading panels or crowding rows so maintenance can be scheduled in time.

No-code custom models

Train a detector for the exact panel, fault, or feature you care about by labelling a few examples — no programming.

How it works

From raw imagery to a fault map in four steps

A no-code workflow built so O&M crews, asset managers, and developers — not just data scientists — can run production-grade solar inspection.

STEP 01

Upload your imagery

Bring drone, thermal, aerial, or satellite captures of your site in any common format.

STEP 02

Label what matters

Mark a few examples of panels or faults you want to find, or use the built-in PV inspection models.

STEP 03

Let the AI inspect

FlyPix detects panels, finds hotspots and defects, and maps every fault to its exact location across the site.

STEP 04

Explore & export

Review fault maps and counts on interactive dashboards, then export to your GIS and asset-management tools.

FlyPix AI workspace showing AI object detection on geospatial imagery
Supported Data

Inspect solar sites with every sensor

Solar assessment needs more than true-colour photos. FlyPix AI ingests the full range of remote-sensing data — count panels in RGB, find failing cells with thermal and multispectral bands, and measure terrain and slope with LiDAR — all in one workspace, so every defect and every metre of land is accounted for.

See all supported formats
RGB & true-color
Standard satellite, aerial & drone imagery
Supported
Multispectral
Vegetation, water & land-use analysis
Supported
Hyperspectral
Fine-grained material & spectral analysis
Supported
LiDAR
Elevation, volumes & 3D terrain
Supported
SAR (Synthetic Aperture Radar)
All-weather, day-or-night monitoring
Supported
API & GIS integration
Automate workflows, export vector layers
Supported
Why FlyPix

Why teams choose FlyPix AI

The platform removes the bottlenecks that slow solar inspection: manual row-walking, specialist headcount, rigid formats, and tooling that cannot keep pace with each flight.

Inspection in seconds

Detect every panel and fault across a full site in seconds instead of days of manual review — and repeat it on every flight.

A true no-code platform

O&M crews and asset managers run AI inspection on their own imagery — no programming, no data-science team, no vendor queue.

Multi-sensor by design

Combine RGB, thermal, multispectral, and LiDAR in one workspace to catch faults the eye and a single sensor would miss.

Scales to any portfolio

Inspect a single rooftop array or a fleet of utility-scale farms at the cadence your assets demand.

Customer Reviews

What geospatial teams say

From industrial pilots to research labs to environmental missions — see how teams put FlyPix AI to work.

We ran a joint pilot with FlyPix AI in an industrial setting. We were impressed by the dedicated, easy-to-work-with team, their expertise, and how quickly they applied the technology to a novel use case.

Hannes Olbrich
Hannes Olbrich
Head of Investor Office · acitoflux, Germany

FlyPix AI helped us go from idea to proof of concept in record time. The team was responsive, the platform was easy to integrate, and we tested geospatial insights on real property data within days.

Ali Tehranchi
Ali Tehranchi
CEO · Bayscenary, USA

FlyPix AI made it remarkably easy to turn drone imagery into actionable results — truly next-gen tech, delivering AI-driven analysis and cloud computing within minutes without complex setups.

Jordan Bates
Jordan Bates
Researcher · University of Liège, Belgium

What surprised us most was how effortless it was to start. The platform is robust, easy to navigate, and extremely reliable.

Krishna Mohan
Krishna Mohan
Business Head · Stesalit Systems Ltd., India

FlyPix AI helped us automate land-use classification with incredible precision and speed, saving months of manual work.

Rohit Singh
Rohit Singh
Director · Intent to Solution, India

Working with FlyPix has significantly elevated the impact of our clean-up missions. We're proud to collaborate with a team that shares our commitment to environmental responsibility.

Robin Engelhard
Robin Engelhard
Chairman · Second Life e.V., Germany
Start inspecting

Turn your imagery into solar intelligence.

Create an account and run your first AI panel inspection in minutes — no credit card, no code. Want help scoping your inspection workflow? Our geospatial team will set it up with you.

Start free Book a consultation Free to start · Set up with an expert
FAQ

Solar farm assessment software, answered

The questions O&M crews, asset managers, and developers ask before switching to AI-powered solar inspection.

What is solar farm assessment software?
Solar farm assessment software analyses imagery of photovoltaic sites to detect panels, find faults, and evaluate site conditions and performance. AI-powered platforms like FlyPix AI automatically detect and count panels, surface hotspots, soiling, and defects, assess land suitability, and export georeferenced fault maps from drone, thermal, and satellite imagery, turning days of manual inspection into minutes of insight.
Do I need coding or GIS expertise to use FlyPix AI?
No. FlyPix AI is a no-code platform. You upload imagery of your site and the AI engine detects panels, finds faults, and maps them to their exact locations automatically — no programming or deep machine-learning knowledge required.
What faults can FlyPix AI detect on solar panels?
FlyPix AI can flag thermal hotspots, hot cells, string and module failures, cracks, physical damage, soiling, shading, and vegetation encroachment. Each fault is mapped to its exact panel and coordinates so crews can go straight to the problem.
What imagery does FlyPix AI use for solar inspection?
FlyPix AI works with drone, aerial, and satellite imagery in RGB and thermal, plus multispectral, hyperspectral, and LiDAR. Thermal is used to find failing cells and hotspots, while RGB and LiDAR support panel counting, terrain, and site assessment.
Can FlyPix AI help assess a site before it is built?
Yes. FlyPix AI can evaluate terrain, slope, and land cover and quantify usable area to support site suitability and layout planning, then continue inspecting the same site once panels are installed and operating.
How much time can FlyPix AI save versus manual inspection?
FlyPix AI can save up to 99.7% of inspection time. In FlyPix benchmarks, dense-array review that takes roughly 997 seconds by hand is completed by the AI engine in about 3 seconds.
Can I try FlyPix AI on my own solar site?
Yes. You can create an account and start inspecting your own site imagery, or request a guided demo to see panel detection, hotspot and defect detection, and site assessment applied to your farm.
Every panel, accounted for

Find the faults your farm is hiding.

Join 10,000+ users automating geospatial inspection with FlyPix AI. Upload your first flight and watch the AI detect, count, and map every panel and fault in seconds.