I.Spektor

Computer vision to automate inspection and monitoring activities

Automating visual inspections

I.Spektor is a machine vision system designed to convert images and visual data into actionable insights.

It enables the automation of inspection, quality control, maintenance and anomaly detection tasks in complex environments.

I.Spektor reduces the need for manual inspections, speeds up checks and improves the consistency of assessments in highly complex environments.
It also works on edge devices and mobile phones.

Image comparison

I.Spektor automatically repositions images of the same objects, even if taken from different angles, to make them comparable. It also provides tips and data for taking similar photos. It compares photos taken at different times to monitor and evaluate the evolution of damage, processes and structures.

Object, event and anomaly recognition

I.Spektor algorithms make it possible to recognise objects and parts of objects within images and videos, classify them, detect anomalies and automatically describe the scene and environment represented.

Real time also on the edge

The system is optimised to run on edge devices in real time, reducing reliance on centralised infrastructure.

3D Reconstruction

In order to assess the nature of objects portrayed or filmed with the use of Lidar and depth cameras, I.Spektor also performs their 3D reconstruction, creating digital twins.

Heterogeneous sources

I.Spektor not only analyses static images, but also identifies information of interest in videos, drone footages, and coming from thermal imaging cameras, for comprehensive support in the inspection and evaluation of anomalies in objects and processes.

Geolocalization and reports

Images and videos are geolocalised and placed on interactive maps for comprehensive support to the operator in the inspection activities.
The information can be queried using natural language, and text-based reports can be generated in predefined formats.

I.Spektor is registered in the Registro Pubblico Speciale per i programmi per elaboratore della sezione OLAF della SIAE – Società italiana degli autori ed editori.