Deep Learning-based industrial image analysis

FSI Technologies is pleased to add the ViDi Suite from ViDi Systems SA to our machine vision tool kit, which will enable us to solve machine vision problems previously impossible to solve. With ViDi industrial inspection software, FSI will continue to offer advanced surface inspection and classification solutions to its customers.

ViDi offers the first ready-to-use Deep Learning-based software dedicated to industrial image analysis. ViDi Suite is a field-tested, optimized and reliable software solution based on a state-of-the-art set of algorithms in Machine Learning. Successful applications are in the Pharmaceutical, Medtech, Automotive, Textile, Printing, Logistics, Watchmaking, and other industries.

This novel approach brings human visual inspection performance to automatic quality control equipment. It radically differs from traditional Machine Vision solutions since it is:

• Human-like: It outperforms the best quality inspectors.
• Self-learning: No software development is required for your application.
• Powerful: It solves hard to tackle or even impossible programming challenges.

ViDi Suite is a powerful, flexible and straightforward solution for countless challenging machine vision applications. The Suite consists of 3 different tools (ViDi blue, red, green).

Feature localization		Anomaly detection		Object & scene classification
ViDi blue is used to find and localize single or multiple features within an image. Read more...		ViDi red is used to detect qualitative defects of any type. Read more...		ViDi green is used to classify an object or a complete scene. Read more...

Applications

Welding seam inspection Download the application note.			Machined part inspection Download the application note.
Appearance-based product identification Download the application note.			Solar Panel Inspection Download the application note.
Aesthetic textile inspection Download the application note. Industry Overview.			Pad printing aesthetic inspection Download the application note.
Watch Part Inspection Download the application note.