Knocking Down the Bone Pile: Revamp Your Components with BGA Reballing
Global Sourcing Spotlight: Balancing Speed and Flexibility Without Sacrificing Control
SMT Perspectives & Prospects: Artificial Intelligence Part 6: Data Module 1
iNEMI Smart Manufacturing Series: Visual Data Enables Traceability with AI and Big Data
July 6, 2022 | iNEMIEstimated reading time: Less than a minute
The COVID pandemic has caused supply chain disruptions and component shortages which are dramatically increasing supply chain pressure and causing the open market to offer low-quality components. This situation has led to an increased risk of counterfeit parts, as well as other factors that can result in defective components. This risk is conventionally mitigated by performing sample lab tests on components but sampling only a fraction of the components can carry many risks. Lab testing does not address out-of-date, mixed lots, badly handled, tampered with, or defective components which may be randomly scattered within a package.
Leveraging artificial intelligence (AI) and big data technology to provide a visual verification solution that analyzes and inspects components to guarantee quality, authenticity and traceability is one approach to addressing these risks. In this webinar, Eyal Weiss, founder and CTO of Cybord Ltd. will discuss how the company’s innovative software solution and patented deep visual inspection technology can help improve electronic product reliability and material sourcing with inline AI component inspection software.
Thursday, July 14, 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)
Register for this webinar, visit iNEMI's website
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