Many manufacturers are exploring AI for quality control—but getting it working in production is still a challenge. From manual labeling to complex setup, traditional AI workflows can slow teams down.
In this on-demand webinar, we share what we’ve learned from real-world deployments and show how self-supervised AI can simplify the process. You’ll see how manufacturers are cutting setup time from weeks to hours—without specialized expertise or endless data labeling.
What You’ll Learn
- AI Vision Fundamentals: Understand the core technology and why traditional approaches create bottlenecks in quality operations.
- Self-Supervised AI in Action: See how modern AI eliminates manual data labeling and reduces setup from weeks to hours—no specialized expertise required.
- Live Model Building Demo: Watch us build AI models on a running conveyor belt in real-time, showcasing just how fast and simple deployment can be.
Designed for Manufacturing Teams
This session is geared towards production and quality teams looking to accelerate defect detection and improve inspection reliability. Whether you’re evaluating AI vision for the first time or looking to solve implementation challenges, you’ll leave with practical, actionable insights.
Watch Now
Access the full recording and see exactly how to bring AI vision into production.
