iNEMI’s Call-for-Participation Webinar: Development of an Imaging AOI + AI Ecosystem


Reading time ( words)

iNEMI’s Development of an Imaging AOI + AI Ecosystem project will address the electronics manufacturing industry’s need for comprehensive image libraries (data sets) to train AI models for AOI and AXI. Insufficient data can result in inaccurate AI models for image classification. Presently, companies such as electronic manufacturing services (EMS) providers maintain their own image data, which is private and isolated.  The collection of image data — data acquisition, identification, labeling, etc. — is time consuming and there is currently no collaboration model in the industry for sharing image data that can balance benefits with risk mitigation.

This project will evaluate and propose an ecosystem collaboration model for the electronics manufacturing industry to collect and share image data from collaborating companies in a commonly acceptable protocol. The data sets will be contributed to a central data repository where data is consolidated into different categories/types and can provide valuable input for AI training cycles. The initial focus of the project will be on the EMS sector, which could benefit quickly from leveraging more data to enhance their AOI capabilities.

The project team will investigate technical, business and security issues with the aim of developing an acceptable protocol and business model that will allow for the appropriate level of sharing of images to enhance manufacturing capability without impinging on intellectual property or confidentiality.

Registration

Join us for this call-for-participation webinar to understand how the Development of an Imaging AOI + AI Ecosystem project can benefit your organization. Two sessions are scheduled (with the same content) and the webinar is open to industry. To register, visit iNEMI's website. 

Session 1: Thursday, September 1
10:00-11:00 a.m. EDT (U.S)
4:00-5:00 p.m. CEST (Europe)
10:00-11:00 p.m. CST (China)

Session 2: Thursday, September 2
9:00-10:00 a.m. CST (China)
9:00-10:00 p.m. EDT (U.S.) on September 1

Smart Manufacturing Tech Topic Series Webinar #3
Visual Data Enables Surgical Traceability by the Power of AI and Big Data
Guest Speaker: Dr. Eyal Weiss, Cybord
Thursday, September 8, 2022
10:00-11:00 a.m. EDT (Americas)
4:00-5:00 p.m. CEST (Europe)
10:00-11:00 p.m. CST (China)

Share




Suggested Items

Catching Up With ExcelTech’s Matt Redhead

08/31/2022 | Dan Beaulieu, D.B. Management Group
This is a story of hope for the future of our industry. Matt Redhead is a young entrepreneur who started his career in customer service and sales, but always had his sights set on owning a business. Recently, he achieved his dream by becoming the fourth owner of a 46-year-old contract manufacturing business just outside of Portland, Oregon. For those of you who worry about the younger folks joining our ranks, this interview will renew your faith.

Preparing the Next-gen Tech Workforce

05/18/2022 | Marc Carter, Independent Contributor
Knowledge transfer, especially from the “graying-out” experienced technical workers in our industry, is a complex, difficult family of problems. It differs wildly between companies, and even within divisions of the same company. One of the biggest barriers is the full manufacturing schedules in North American electronics companies that don’t leave any slack time—and the 40-hour work week is a complete fantasy for many.

Are Your Existing Machines Enough to Keep Up?

05/04/2022 | Jennifer Davis, Arch Systems
Buy new or make do? It’s an age-old debate for manufacturers who are trying to decide how best to manage machine assets inside their manufacturing facilities. New machines are expensive, but so is operating existing machines at a comparative deficit.



Copyright © 2022 I-Connect007. All rights reserved.