Computer Vision

Complex Images and Video Analysis

An image is worth a thousand words. A video is worth millions of data points. We read them all.

High-resolution images, continuous video streams, drone footage, thermographic recordings, medical scans: visual data is everywhere, grows faster than any other source, and in most cases is analyzed manually — slowly, partially, with growing error margins.

We build computer vision systems that analyze images and videos with a precision and scale the human eye cannot reach.

Problems we solve

Blocked knowledge, critical dependencies and inefficiencies holding back growth

Manual visual analysis that does not scale

Inspecting images, reviewing footage, classifying visual content with dedicated staff is slow, costly and unsustainable at high volumes.

Anomalies and patterns the human eye misses

Micro-defects on surfaces, misplaced objects, thermal variations, anomalous movements.

Visual data collected but not analyzed

Cameras, drones, thermal cameras, scanners: many companies already collect enormous amounts of visual data.

Complex operational contexts

Motion blur, lighting variations, moving perspectives, variable quality: generic models cannot handle real conditions.

Use Cases

Real projects, measurable results

Computer vision system that analyzes drone footage to automatically identify misplaced objects on o…

Oil & Gas — Detection of objects at risk of falling

Computer vision system that analyzes drone footage to automatically identify misplaced objects on oil platforms, reporting position and risk level.

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

Oil & Gas — Detection of objects at risk of falling

Pipeline that integrates RGB and thermographic images collected by drone to detect defective cells,…

Solar energy — Defect inspection on photovoltaic panels

Pipeline that integrates RGB and thermographic images collected by drone to detect defective cells, hotspots and structural damage on large solar farms.

Less downtime, predictive maintenance, plant performing at maximum.

Solar energy — Defect inspection on photovoltaic panels

Computer vision and LLM in combination for reading and interpreting shipping notes acquired via sca…

Logistics and textiles — Data extraction from visual documents

Computer vision and LLM in combination for reading and interpreting shipping notes acquired via scan or mobile photo.

Variable input data quality, constant structured output quality.

Logistics and textiles — Data extraction from visual documents

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.

Object detection and segmentation

✓ State-of-the-art architectures
YOLO, DETR and variants for object detection on images and video
✓ Semantic and panoptic segmentation
pixel-level classification of complex scenes
✓ Instance segmentation
identification and separation of multiple objects in the same scene

Video analysis and tracking

✓ Frame-by-frame analysis
on high-resolution video streams
✓ Multi-object tracking
following subjects and objects over time in video sequences
✓ Anomalous event detection
on continuous video streams

Multimodal analysis

✓ Fusion of heterogeneous visual sources
RGB, thermal, multispectral, depth
✓ Vision-Language Models (VLM)
combined contextual understanding of images and text
✓ Synthetic data and transfer learning
for rapid adaptation to new contexts and domains

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