Machine vision: give your machines autonomy

Pour un fabricant de machines, intégrer la vision industrielle sans dépendre d'une boîte noire est un véritable enjeu de maîtrise

For a machine builder, integrating machine vision without depending on a black box is a real question of control. This week, an OEM partner spent five days at our premises getting to grips with our Python SDK.

For a machine builder, integrating machine vision without depending on a black box is a real question of control.

This week, an OEM partner spent five days at our premises getting to grips with our Python .

On the program:
• Discovering the Psycle SDK: default features and custom developments, through a series of vision skill-building exercises.
• Data architecture on our Psycle Assistant Qualité quality platform, and machine fleet management.
• Code architecture: laying down the standard building blocks, distinguishing recurring utilities from one-off needs.
• Hands-on practice with real customer cases.

The goal is clear: to help OEMs become more autonomous in vision. No black box, but fully open code that belongs to them.

A session led by Natan Danous, Julien P. and Baptiste A.

For many machine builders and large groups with vision teams, this skills development is often the starting point for a broader collaboration. We now run nearly one training session a month, on complementary topics: optics and image capture, introduction to AI for vision, application development in Python with the SDK, and annotation best practices for supervised AI.

Have a team to train in machine vision? Write to us: formation@psycle.io


See the carousel


psycle solutions

Get started on your machine vision project with Psycle's SDK

a Python framework compatible with computer vision standards (GenICam) and the latest deep learning models.