FruitfulAI is excited to announce Vision Connect 2025, a half-day event dedicated to the future of industrial vision systems. Hosted in the FruitfulAI Offices (Schlieren, Zürich), this exclusive gathering will bring together manufacturing professionals, automation engineers, and AI experts for an afternoon of insight, innovation, and collaboration.

🗓 Date: October 16, 2025

📍 Location:  FruitfulAI Office

🕓 Time: 14:30 – 18:30

Why Attend?

Vision Connect 2025 is more than just a tech demo — it’s a meeting point for people building the factories of tomorrow. This is where industry leaders explore how traditional machine vision is evolving with artificial intelligence and how companies can gain real-world benefits from the convergence of optics, software, and automation.

At the event, FruitfulAI will showcase its flagship software platform, NEO, designed to bring deep learning to the production line — fast, flexible, and with minimal setup. You’ll also see real hardware setups in action, including collaborations with leading vision hardware providers such as Opto Engineering.

What’s On the Agenda?

• ✅ Live demos of real-time defect detection and measurement
• 🎯 Insights into how AI is reshaping industrial inspection workflows
• 🤝 Networking with manufacturers, system integrators, and automation experts
• 💬 Q&A with the FruitfulAI team on deployment, integration, and scalability

Whether you’re evaluating your first smart vision system or scaling AI across multiple lines, this event is designed to answer your key questions and connect you with solutions.

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“Vision Connect is where we bring the power of deep learning out of the lab and into the hands of the people who make things,” said Alberto Cenedese, Co-Founder of FruitfulAI. “It’s hands-on, practical, and focused on solving real inspection problems.”

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Registration

Seats are limited, and attendance is free with registration.

Reserve your spot now:

🔗 Register for Vision Connect 2025

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About FruitfulAI

FruitfulAI helps manufacturers gain control over quality by combining deep learning with industrial-grade vision systems. Its software platform, NEO, enables fast deployment of visual inspection and measurement systems with minimal data and maximum speed.

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