How computer vision can automate logistics – Fizyr in The Building Culture podcast

Being the expert in our field, we had many requests to apply our computer-vision software to solve challenges in various industries.

One interesting problem we actually solved already five years ago is detecting and picking the corners of towels from bulk (!) to feed them into a sorter. It might not be a purely logistics task, but it defintely is an indication of our software’s capability from early on.

In a series of podcast episodes, Herbert ten Have (CEO) goes deeper into subjects like the benefits logistics integrators experience through robotic automation, how a computer-vision software driven by AI has managed to solve major industry problems, as well as building a profitable business and successfully scaling a company.

Episode overview (YouTube)

You can also listen to all the episodes on The Building Culture Podcast’s page on

More on The Building Culture Podcast

The Building Culture aims to provide students with quality content in the fields of Robotics and Artificial Intelligence, that focuses not just on content but also on the structure of learning. The core philosophy behind the Building Culture is that the best way to learn engineering fields is by building projects and being actively engaged with the content rather than passively consuming it. In this spirit, they aim to explore, identify, discover and share with their audience the Best Way to learn Robotics and Artificial Intelligence.

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Herbert ten Have in a poster by The Logistics PointHerbert shares industry insights with The Logistics Point
Automated picking and placing of parcelsHow pick-and-place robots improve warehouse productivity

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