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June 21-24, 2022
Austin, Texas, USA + Virtual
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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

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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.
Speakers
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 →

Demystifying Challenges Learnings in Converting an old school Textile Inspection Machine into a Smart system using AI ML pdf
Thursday June 23, 2022 5:05pm - 5:15pm CDT
Room 303/304 (Level 3)
  Open AI & Data Forum, AI on the Edge