June 21-24, 2022
Austin, Texas, USA + Virtual
View More Details & Registration
Note: The schedule is subject to change.

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for Open Source Summit North America 2022 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

This schedule is automatically displayed in Central Daylight Time (UTC -5). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date."

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Thursday, June 23 • 5:05pm - 5:15pm
Lightning Talk: Demystifying Challenges/Learnings in Converting an Old-school Textile Inspection Machine into a Smart System Using AI/ML - Neethu Elizabeth Simon & Scott Thomas, Intel Corporation

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
Textile inspection has traditionally been very labor-intensive and error prone. Because labor costs are very low in most fabric manufacturing locations, any automation must be extremely cost-effective. Team, comprising of members from multiple teams across multiple Geos, developed a computer vision based AI/ML solution using open source tools for textile defect detection during the fabric inspection process. Team successfully integrated the eyes, i.e cameras and open source AI/ML Tools running on high-performance compute device with an old-school manual fabric inspection machine. Results show that the inferencing capabilities offered through hardware and software solutions are effective and affordable even in the commodity fabric manufacturing industry. Hence a reasonably priced system was affordably applied to a much lower cost labor-intensive industry without expensive retooling or excessively high-priced technology. 

This presentation will cover the implementation & integration challenges encountered during design & development of this unique solution. It will also cover the resolution adopted to enable developers to better design and implement IOT, AI/ML & Computer Vision based solutions.

avatar for Neethu Elizabeth Simon

Neethu Elizabeth Simon

Senior Software Engineer, Intel Corporation
Neethu Elizabeth Simon, IOT/ML Senior Software Engineer, in Network & Edge Group at Intel Corporation, with vast industrial experience in building smart end-to-end computer vision-based AI/ML solutions in retail and biopharma/healthcare. She holds Master’s in Computer Science from... Read More →
avatar for Scott Thomas

Scott Thomas

Solutions Architect, Intel Corporation
Scott Thomas is a Solutions Architect in the Emerging Technologies section of Intel’s Internet of Things Group. He is based in Chandler, AZ and has worked with Intel Corporation for over 25 years. A graduate of Arizona State University’s School of Engineering, Scott has extensive... Read More →

Thursday June 23, 2022 5:05pm - 5:15pm CDT
Room 303/304 (Level 3)
  Open AI & Data Forum, AI on the Edge