For a machine manufacturer, integrating machine vision without relying on a black box is a real challenge.
This week, an OEM partner spent five days at our offices getting hands-on with our Python SDK.
On the agenda:
- An introduction to the Psycle SDK—including default features and custom developments—through a series of exercises designed to build machine vision skills.
- Data architecture on our Psycle Assistant Qualité quality platform and machine fleet management.
- Code architecture: laying the standard building blocks, distinguishing between recurring utilities and one-time needs.
- Practical exercises based on real-world customer cases.
The goal is clear: to enable OEMs to gain greater autonomy in machine vision. No “black box”—just fully open-source code that belongs to them.
A session led by Natan Danous, Julien P., and Baptiste A.
For many machine manufacturers and large corporations with machine vision teams, this skills development is often the starting point for broader collaboration. We currently host nearly one training session per month on complementary topics: optics and image capture, an introduction to AI for machine vision, application development in Python using the SDK, and best practices for annotation in supervised AI.
Do you have a team that needs to build its machine vision skills? Contact us at: formation@psycle.io