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TEL AVIV, ISRAEL \/
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<\/p>\n Today, supervised Deep Learning-Based Quality Assurance
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<\/p>\n Lean AI<\/b>‘s technology surpasses
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“Johnson Electric is very
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“Cortica has developed self-learning AI that is
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Further commenting on the
\u00a0<\/p>\n Read more about what revolutionary technology Lean AI<\/b> is bringing to the quality
\nHONG KONG SAR –\u00a0Media OutReach<\/a>\u00a0– 11 November 2021 – <\/b><\/i>
\n established a joint venture to build an Autonomous Inspection System set to
\n revolutionize the Quality Inspection Market. Lean AI<\/b> is a game-changing startup that will leverage Johnson
\n Electric’s vast knowledge and experience in manufacturing processes and Cortica’s
\n unique Autonomous AI Technology in
\n order to revolutionize the visual inspection market. <\/sdt><\/p>\n
\n Systems can take weeks, up to months, to deploy. The existing systems are
\n reliant on a data scientist or AI experts and require large manually tagged
\n training sets with thousands of defect image examples.
\n Requiring\u00a0constant maintenance and re-training for the slightest
\n variations, the system is unable to adapt to defects, new products, and new cameras.
\n <\/p>\n
\n existing challenges of prevalent supervised Deep Learning-Based Quality
\n Assurance Systems with the power of unsupervised learning to process
\n information within a fraction of a second, utilizes\u00a0unlabeled data,
\n applies predictive quality assurance, and compiles data that increases the
\n speed of deployment and scaling. As an open platform agnostic to camera,
\n defect type and product, Lean AI<\/b> can
\n collaborate with any integrators, OEMs, and manufacturers of automation
\n solutions.<\/p>\n
\n the power of Cortica’s Autonomous AI technology, and JE’s vast knowledge of
\n the market, Lean AI<\/b> will deliver a
\n product that reduces the cost of human error when it comes to quality
\n inspection in manufacturing and address the vulnerabilities in the current
\n market,” said Karina Odinaev, CEO of Lean
\n AI<\/b>.<\/p>\n
\n <\/sdt>
\n excited to announce this new joint venture with Cortica. We are fully aware of
\n the fundamental challenges accompanying the deployment of AI-based quality
\n assurance software in the production environment, especially in terms of speed
\n of deployment and reliability over time,” said Austin Wang, Senior Vice
\n President of Johnson Electric. “Cortica’s Autonomous AI technology can address
\n a lot of these major headaches and allow for much faster and broader adoption.”
\n
\n fundamentally different from traditional deep learning systems. Autonomous
\n AI Technology operates like a human brain – it’s not a fixed system;
\n instead, it continuously adapts itself to various scenarios and learns
\n online in real-time. Its technology requires far less computing power, can
\n be deployed at a fraction of the cost, and provides far superior performance
\n outcomes,” said Igal Raichelgauz, Founder and Chairman of Cortica. “Our
\n technology is robust and generic and applicable within a multitude of signal
\n domains such as visual, audio, time series and other domains; visual
\n inspection is only the beginning. Autonomous AI technology is quickly
\n becoming the benchmark for the industry.”
\n vision market is currently valued at US$11 billion and is forecast to
\n increase to US$15.5 billion by 2026. As these numbers continue to grow and
\n AI technology advances, the opportunity for machine vision solutions to
\n positively aid in manufacturers’ earning potential with a reduction in
\n defects gives way for a new system that will fundamentally change the
\n industry’s approach to quality assurance.\u00a0
\n <\/sdt><\/sdt><\/p>\n
\n <\/sdt><\/sdt>
\n<\/sdt><\/p>\n
\nformation of Lean AI<\/b>, Austin Wang
\nsaid: “Johnson Electric’s deep experience in a wide range of manufacturing
\nprocesses offers a unique platform for developing this technology for
\ncommercial use. The joint venture is also opening a new avenue for Johnson
\nElectric to develop and market software offerings. It is therefore both a
\ntechnological as well as business model innovation for us. There are also
\nopportunities to apply the technology in predictive quality and expert systems
\nas well. This is the second investment of Johnson Electric
\nin Israeli technology and we will continue to assess such relevant
\nopportunities.”<\/p>\n
\ninspection space: https:\/\/lean-ai-tech.com\/<\/a><\/p>\n