AI Vision for Consistent Quality Inspection in Textile Manufacturing
Anastasiia Glebova, COO, O-HIVE
Quality inspection is critical in textile manufacturing, but manual inspection can be time-consuming, inconsistent, and difficult to scale. AI-powered vision systems are creating new opportunities to automate inspection, detect defects in real time, and improve quality while reducing inspection effort.
In this session, Anastasiia Glebova will share practical insights into how AI vision can be applied to manufacturing quality inspection, with a focus on identifying defects and process deviations in production environments. She will discuss where AI vision delivers the greatest value, what manufacturers should consider when selecting and deploying a vision system, and how to build a compelling business case for adoption.
Attendees will leave with a practical framework for evaluating AI vision opportunities and taking the first steps toward implementation.
- Identify quality inspection processes where AI vision can deliver the greatest value
- Understand how AI can detect defects and quality deviations in real time
- Explore practical manufacturing applications and implementation best practices
- Learn how to evaluate the ROI and build a business case for AI-powered inspection
- Understand the key steps for successfully deploying a vision inspection system
