Image
analysis

Flawless control, highest quality.

In the industrial field, having an artificial vision system can make the difference, to extract useful information from the photos of processes and to identify production waste. A similar system of classification or automatic information extraction can help you maximize the effectiveness of quality control.

How it works

Starting from the collected photos or videos, the Image Analysis algorithms learn what to look for in images and how to classify them, then replicating what they have learned on a large scale. They can operate on thousands of photos, with a frequency and accuracy that are difficult for an operator to achieve.

Object
detection

Immediately identify details and imperfections.

The Image Analysis algorithms are able to identify any object within photos, helping you to detect even the smallest details, perhaps invisible to the human eye. In this way, you can extend and enhance the control process, saving time and achieving the highest quality of execution.

Object
detection

Immediately identify details and imperfections.

The Image Analysis algorithms are able to identify any object within photos, helping you to detect even the smallest details, perhaps invisible to the human eye. In this way, you can extend and enhance the control process, saving time and achieving the highest quality of execution.

Object
classification

Classify millions of files with pinpoint accuracy.

From the classification of photographs, to e-mail attachments, from reports, to production defects: thanks to the Image Analysis algorithms, you can now increase the efficiency of these activities, reducing manual errors and operating on huge numbers of files.

Case studies

Artificial vision for automotive quality control

+ 85% increase in the number of imperfections detected

Reduction of the number of re-working hours by operators

learn more

Winning sponsorship strategies in the sports field

+ increase in the level of effectiveness of sponsorship strategies

+ accuracy of the model in the classification of sponsor logos

learn more

Next

solution

Robotic

process

automation