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. On the program: • Discovering the Psycle SDK — default features and custom developments — through […]

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.

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


les solutions psycle

Démarrez votre projet de vision industrielle avec le SDK Psycle

un framework Python compatible avec les standards de vision (GenICam) et les derniers modèles de Deep Learning.