Monitoring, Risk & Anomaly Detection

Anomaly Detection

The most costly problems are the ones you do not see. Until it is too late.

A misplaced object on an offshore platform. A micro-defect on a solar panel. An anomaly that the human eye does not catch, or catches late. The consequences — an accident, a plant shutdown, an efficiency loss that accumulates for months — always arrive after the fact.

We build anomaly detection systems based on computer vision that analyze images and videos to identify what should not be there, or what should not be like that.

Problems we solve

Blocked knowledge, critical dependencies and inefficiencies holding back growth

Slow and costly manual inspections

Sending people to inspect plants, infrastructure or extensive surfaces requires time, resources and often exposes them to risks.

Anomalies not detected in time

The human eye gets tired, gets distracted, does not see everything. Small defects become big problems.

Unused visual data

Many companies already collect video and images but do not analyze them systematically.

Impossible scalability

Inspecting hundreds of panels, kilometers of infrastructure or hours of footage with dedicated staff does not scale.

Use Cases

Real projects, measurable results

On an oil platform, a misplaced object can become a fall risk with serious consequences. We develop…

Oil & Gas — Safety on offshore platform

On an oil platform, a misplaced object can become a fall risk with serious consequences. We developed a computer vision system that analyzes drone video footage and automatically identifies objects at risk of falling, reporting position and risk level.

Faster, more complete inspections without exposing personnel to dangerous areas.

We built a system that integrates RGB and thermographic images collected by drone to detect anomali…

Solar energy — Defect inspection on photovoltaic panels

We built a system that integrates RGB and thermographic images collected by drone to detect anomalies on solar panels — defective cells, hotspots, structural damage.

Less downtime, predictive maintenance, plant performing at maximum.

Solar energy — Defect inspection on photovoltaic panels

Technology Corner

The architecture and technologies that make the difference

Our projects don't rely on off-the-shelf solutions. Every system is designed on the right architecture for the specific problem — and the technology choice makes the difference between a tool that works in demo and one that holds up in production.

Computer Vision

✓ Object detection and segmentation
on RGB and thermographic images
✓ Frame-by-frame analysis on drone footage
for anomaly detection in video
✓ Multimodal integration
visual + thermal data for more robust detection

Synthetic data and 3D reconstruction

✓ Synthetic data generation
for domains where real anomaly data is rare
✓ Data augmentation
to increase model robustness under variable conditions
✓ 3D reconstruction from drone footage
to contextualize anomalies in physical space

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