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