Foxconn Announces FOXCONN NxVAE, Unsupervised Learning AI Technology


Reading time ( words)

Foxconn Technology Group, a global leader in smart manufacturing, announced the launch of FOXCONN NxVAE, a new unsupervised learning artificial intelligence (AI) technology that ensures higher levels of efficiency and accuracy in the inspection of defects in manufacturing production lines when compared with traditional practices.

As a first step in applying this new technology, Foxconn introduced FOXCONN NxVAE to some handheld device production lines in mainland China. After eight months of research and development, those lines successfully reduced the manpower resources required for defect inpsection by 50 percent. The new technology will also be applied to broader manufacturing uses for verticals such as textiles and healthcare, as part of Foxconn’s support for accelerating transformation of a range of industry sectors.

New Technology Transforming the Production Line Defect Inspection Process

Defect inspection during the production process is an important step to ensuring product quality. Traditionally, Computer Vision technology is used in defect inspection and that technology identifies defects by recognizing and defining a “Golden Sample” - a perfect product sample - and comparing each product with that sample. The “Golden Sample” comparison, however, varies when it is placed in different manufacturing locations. Slight changes, such as the difference of light sources and the positioning of the DUT, Device Under Test, sample, can result in a comparison failure and that is why there is a need for additional manpower for secondary detection. Supervised learning (deep learning) technology is being increasingly used to enhance the efficiency of this process. The machine learning algorithms are taught to distinguish defects through data labelling, training and inferencing. However, that requires the use of high resolution defect visuals for the machine learning process and that can be time consuming and hard to collect given the high-quality production standards within Foxconn.

FOXCONN NxVAE, with unsupervised learning AI at its core, addresses the above challenges and brings unprecedented benefits to smart manufacturing. The unsupervised learning algorithms in the new solutions can identify products with defects by simply analyzing and clustering unlabeled data from a good product sample without the need for human intervention. The technology, and its increased ability to discover differences in data received, ensures that the inspection process is significantly enhanced, and manual checking becomes unnecessary. Moreover, its self-learning ability does not require collecting, categorizing, and labelling each of the detect visuals thus allowing for a more significant buffer in the usually tight production timeline. FOXCONN NxVAE has the ability to detect the 13 most common types of defects accurately without any errors.

Continual Investment and Innovation of AI Solutions

The vision at Foxconn is to pave the way for next-generation AI solutions. The company has deployed several in-house-developed AI solutions on a number of different production lines, leading to an improvement in reporting accuracy from 95% to 99% and a reduction of at least one third of the operating costs for appearance defect inspection projects. The company’s vision is also reflected in the recent launch of “BOXiedge™”, the next-generation AI processing solution for video analytics. That solution provides market-leading energy efficiency for standalone AI inference nodes, benefiting applications including smart cities, smart medical, and industrial IoT. In the future, FOXCONN NxVAE will also be applied and integrated into “BOXiedge™” solutions. 

“The yield rate of our production lines has exceeded 99% and the unsupervised learning algorithm developed by the AI team not only enhances efficiency and reduces the challenges associated with introducing new products into the production line, it also marks an important production efficiency milestone for our industry,” said Gene Liu, Vice President of the Semiconductor Subgroup at Foxconn Technology Group. “This development also demonstrates our company’s vision of “3+3=∞” which symbolizes the infinite possibilities created by Foxconn’s industrial advancement and emerging technologies, and we remain committed to investing in these areas.”

Share

Print


Suggested Items

Catching up With Cabletree’s Thomas Chang

09/23/2020 | Dan Beaulieu, D.B. Management Group
Dan Beaulieu has always been interested in exploring the wire harness and cable areas business, so he jumped at the chance to talk with Thomas Chang, the president and owner of Cabletree. Here, they discuss the cable assembly segment and how Cabletree serves EMS companies.

The Foundation of Industry 4.0

04/15/2020 | Oren Manor, Mentor, a Siemens business
When adopting IoT solutions, start with three main considerations. First, assess which parts of the production cycle can be automated and/or monitored most effectively with IoT devices connected to an analytics platform. IoT technology should be matched to the production cycle of your operation.

Market Insights From Epoch International’s President

02/04/2020 | Barry Matties, I-Connect007
Epoch International is an EMS company specializing in front-end engineering. Barry Matties speaks with Epoch President Foad Ghalili at productronica 2019 about the company’s ability to maintain little employee turnover, challenges they’re facing, and expected growth in the U.S. market.



Copyright © 2021 I-Connect007. All rights reserved.