AI Surface Anomaly Detection · No-Code

Flag everything that breaks the norm.

FlyPix AI is the no-code surface anomaly detection software that learns what a healthy surface looks like and automatically flags every deviation — cracks, leaks, corrosion, spills, scour, and defects — across satellite, aerial, and drone imagery, saving up to 99.7% of manual inspection time.

★★★★★Trusted by 10,000+ geospatial users · No credit card required
ANOMALY SCAN · LIVE
BASELINE normal surface
AREA 6,400 ha
FLAGGED 1,284 anomalies · Δ +1.8%
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Backed & powered by NVIDIA Inception Program Google for Startups IBM for Startups ESA BIC Hessen
The Benchmark

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

A single site can hide thousands of subtle deviations — hairline cracks, creeping corrosion, a fresh leak — across kilometres of surface. Hunting for them by eye does not scale, and the dangerous one is the one you miss. FlyPix AI learns the normal surface and flags every outlier in one pass, so nothing slips through between inspections.

Manual review
997s
to review one dense scene by hand

Inspectors scan footage frame by frame, judging what looks wrong by eye. Subtle anomalies are missed, thresholds drift between operators, and the report is stale before it lands.

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

Up to 99.7% time saved. Consistent, georeferenced anomaly maps with severity scores you can track over time and export straight into your GIS.

99.7%
Time saved vs. manual
10,000+
Active users
6+
Data formats supported
1000s
ha per inspection
What is surface anomaly detection software?

AI that learns the normal surface and flags every deviation — without the code.

Surface anomaly detection software is a tool that learns what a normal surface looks like and automatically flags anything that deviates from it — cracks, leaks, corrosion, spills, scour, defects, and unexpected objects or change. FlyPix AI is a no-code platform that uses artificial intelligence to model the healthy baseline and surface outliers across satellite, aerial, and drone imagery. You label a handful of examples of normal and abnormal surface, and the engine trains a custom anomaly model and runs it across your entire site — turning hours of manual inspection into seconds of decision-ready insight.

Capabilities

Everything you need to detect surface anomalies

One platform to learn the norm, flag deviations, score severity, and track them across every site you capture — from a single asset to a national network.

Anomaly & outlier flagging

Learn the normal surface and automatically flag every pixel and region that deviates from it in a single pass.

Defect & damage detection

Pinpoint cracks, corrosion, leaks, spills, scour, and structural defects, each georeferenced and outlined.

Severity scoring

Rank anomalies by how far they stray from the baseline so crews triage the most critical findings first.

Deviation over time

Compare repeat captures to see which anomalies are new, growing, or spreading between inspection dates.

Pixel-level anomaly maps

Go beyond boxes with pixel-accurate outlines that capture each anomaly exact shape, area, and extent.

No-code custom models

Train an anomaly model for the exact surface and defect you care about by labelling a few examples — no programming.

How it works

From raw imagery to flagged anomalies in four steps

A no-code workflow built so inspectors, operators, and planners — not just data scientists — can run production-grade anomaly detection.

STEP 01

Upload your imagery

Bring satellite, aerial, or drone captures in any common format — RGB, multispectral, SAR, or LiDAR.

STEP 02

Define the normal

Label a few examples of healthy surface and the anomalies you want to catch. A handful is enough for the engine to learn.

STEP 03

Run the detector

FlyPix builds a model from your labels and flags, outlines, and scores every deviation across the site.

STEP 04

Explore & export

Review anomaly maps on interactive dashboards, then export flagged regions and vector layers to your GIS.

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

Detect anomalies in any kind of imagery

Surface anomalies are not only visible in true-colour pictures. FlyPix AI runs detection across the full range of remote-sensing data — spot cracks and spills in RGB, reveal moisture and corrosion with multispectral bands, see leaks and scour through cloud and darkness with SAR, and measure deformation and subsidence with LiDAR — all in one workspace.

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 surface inspection: manual review, specialist headcount, rigid formats, and tooling that cannot keep pace with new captures.

Inspection in seconds

Flag thousands of deviations across a full site in seconds instead of hours of manual review — and repeat it on every new capture.

A true no-code platform

Inspectors and operators train and run anomaly models on their own imagery — no programming, no data-science team, no vendor queue.

Catch what the eye misses

Subtle, early-stage anomalies that humans overlook are flagged consistently against a learned baseline you can audit and trust.

Scales to any area

Pinpoint a single hairline crack on one asset or sweep an entire network at the cadence your mission demands.

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 detecting

Turn your imagery into early warnings.

Create an account and train your first anomaly model 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

Surface anomaly detection software, answered

The questions inspectors, operators, and planners ask before switching to AI-powered anomaly detection.

What is surface anomaly detection software?
Surface anomaly detection software learns what a normal surface looks like and automatically flags anything that deviates from it — cracks, leaks, corrosion, spills, scour, defects, and unexpected objects or change. AI-powered platforms like FlyPix AI model the healthy baseline and surface outliers across satellite, aerial, and drone imagery, turning hours of manual inspection into seconds of georeferenced insight.
How is anomaly detection different from object detection?
Object detection finds known things you have defined in advance, while anomaly detection flags whatever deviates from a learned norm — even defects you have never seen before. FlyPix AI models what a healthy surface looks like and surfaces outliers against it, so you catch the unexpected crack, leak, or change rather than only the categories on your list.
Do I need coding or GIS expertise to use FlyPix AI?
No. FlyPix AI is a no-code platform. You upload imagery, label a few examples of normal and abnormal surface, and the AI engine trains an anomaly model and runs it across your whole area automatically — no programming or deep machine-learning knowledge required.
What kinds of surface anomalies can FlyPix AI detect?
Almost any deviation that is visible in imagery — cracks, corrosion, leaks, spills, scour, subsidence, structural defects, crop stress, and unexpected objects or change. Because anomaly models are trained from your own labelled examples, you are not limited to a fixed catalogue of defect types.
Can FlyPix AI track anomalies over time?
Yes. FlyPix AI compares repeat captures of the same area and highlights which anomalies are new, growing, or spreading between inspection dates, so you can monitor a site or network and prioritise intervention without manual comparison.
How much time can FlyPix AI save versus manual inspection?
FlyPix AI can save up to 99.7% of analysis time. In FlyPix benchmarks, dense-site inspection 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 imagery?
Yes. You can create an account and start flagging anomalies in your own imagery, or request a guided demo to see anomaly detection, severity scoring, and deviation tracking applied to surfaces from your domain.
Nothing slips through

Flag what your imagery is hiding.

Join 10,000+ users automating surface anomaly detection with FlyPix AI. Upload your first scene and watch the AI flag, outline, and score every deviation in seconds.