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Deep Learning for Electronics Manufacturing

NOV
14
2019
14. NOV 2019

Presentation Halle B1 SEMICON EUROPA > TechARENA 1 & 2 - Technological Platform for Innovation > Smart Design | Designing Electronic Systems for Advanced Applications

15:20-15:40 Uhr | Halle B1 Tech Arena 1, Booth B1.175

Themen: SEMICON EUROPA

Format: Presentation

Sprache: Englisch

Deep learning is entering in the electronics manufacturing to further increase the reliability of its processes. In some cases, like in the operation of Pick & Place machines failures can only be afforded in a few cases per million operations.The combination of this high reliability requirement, autonomous decision making without intervention of human operators and a huge ever-growing flora of components to inspect present challenges to deploy deep learning in production systems. Particularly deep learning limited explain ability when the algorithms fail and the need to reduce also human involvement in supervised training schemas make it harder for this technology to arrive to the factory line.

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Author,
Mycronic AB

Javier Cabello

Javier Cabello holds a degree in Computer Science and Engineering from Heriot-Watt University at Edinburgh. He is Lead Engineer for the computer vision group at Mycronic AB in Stockholm. He has being involved in developing several generations of machines within Pick & Place and Jetting technologies for the electronics manufacturing industry.

Javier Cabello

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