Visual AI in Manufacturing: How Multimodal Data Powers Adaptive Process Control
Oct 8, 2025
9:00 - 10:30 Pacific Time
Online. Register for the Zoom!
About this event
Join this webinar to learn how multimodal visual AI drives defect detection and adaptive control in manufacturing.
Host
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. 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.