Unibap Whitepapers

Read more about our Whitepapers below

At Unibap we work in a knowledge-intensive industry. To present our knowledge, both internally and externally, we have now launched Whitepapers that will cover all aspects of our work.

Unibap Whitepaper #1

The current adoption of machine vision is rapidly increasing in several industries. According to a study by McKinsey AI-driven quality testing can increase productivity by 50% and increase defect detection rates with 90%. Read more here.

Unibap Whitepaper #2

This whitepaper aims to give the reader a deeper understanding of machine vision methods by comparing Deep Learning based methods and classical methods. And give a guidance the pros and cons of each vision method.