Visual AI in Manufacturing: How Multimodal Data Powers Adaptive Process Control

Join us for a fast-paced session that reveals how a data-centric visual AI workflow turns disparate sensor streams into a single, actionable source of truth on the factory floor.

When and Where

Oct 8, 2025
9:00-10:30 AM Pacific
Online: Register for the Zoom

Through live demos and real-world case studies, you’ll see how fusing images, video, thermal, and PLC data accelerates defect detection, drives adaptive process control, and boosts product yield.

What you’ll learn

• Building a multimodal dataset: ingesting images, video, and industrial sensor logs into a unified visual dataset
• Curating for quality: rapid exploration, filtering, and labeling techniques that surface the edge-cases traditional QA misses
• Training & evaluating models: fuse visual and non-visual features into one training and evaluation pipeline, track every experiment, and mine scenarios that contribute to model failures
• Closing the loop: stream model outputs back to the line to trigger real-time corrective actions
• Measuring model impact: align model performance with key metrics like scrap rate, OEE, and MTTR

Who should attend

Manufacturing engineers, computer-vision practitioners, data scientists, and operations leaders looking to use visual AI to optimize their production lines.