Artificial Intelligence

Predictive maintenance becomes top priority in manufacturing

Reliable, safe and high-quality manufacturing is the key for operational excellence. Manufacturers need to safely predict problems in their manufacturing processes to prevent production stops or quality losses. In this context, Artificial Intelligence is a key technology offering advanced solutions for predictive maintenance and quality in automotive manufacturing. Large amounts of data need to be
Artificial Intelligence

Edge, Fog and Cloud clarified

What do the terms Edge, Fog and Cloud mean in relation to artificial intelligence in industrial manufacturing? They are actually different layers of the Industrial Internet of Things (IIoT). Here is a quick overview on how we at Omron describe these terms in relation to AI, using an analogy with a nervous system. Edge: Spinal
Artificial Intelligence

FORPHEUS returns to Hannover Messe

For this year’s Hannover Messe, which takes place 1-5 April, we have further developed our “Sensing & Control + THINK” solutions including artificial intelligence for automation – starring the now even smarter FORPHEUS 5.0, the world’s first certified, Guinness-accredited robotic table tennis tutor. FORPHEUS is back in Hannover, equipped with new features that produce a
Brand Protection

Late-stage customization in pharmaceutical manufacturing

As a result of serialization legislation, pharmaceutical manufacturers must now ensure that labels printed at a late stage contain all of the data required for compliance. This includes customizing product labels for certain markets, customers or products by adding variable data to labels or packaging. This avoids the need to stock individual packaging materials for
Artificial Intelligence

Improve OEE with Artificial Intelligence at the Edge in Food Manufacturing

How can food & beverage manufacturers benefit from the latest machine control technology? Implementation of Artificial Intelligence (AI) in food manufacturing is picking up speed. Many F&B companies are realizing that AI presents an opportunity to increase not only the Overall Equipment Effectiveness (OEE) – and therefore combine reduced costs with increased productivity – but
Brand Protection

Are you ready for inspection?

by Jan Nieswandt, EMEA Product Marketing Manager for Vision & RFID, Omron Quality inspections are a critical requirement for all manufacturing and packaging lines. Being able to identify defective products before they are shipped to customers can bring significant savings in both time and money. It prevents costly product recalls, wasted production and potentially expensive
Industry 4.0

Industry 4.0 – hot topic or hot air?

Industry 4.0 is defined by Wikipedia as “the current trend of automation and data exchange in manufacturing technologies”. But what does that mean for you and your customers? And it isn’t really a new topic. At Omron, we’ve been working on manufacturing automation and data exchange for years. While Industry 4.0 might still be a
Brand Protection

Legacy of machine vision

Did you know that for more than 40 years, Omron has developed vision sensing technologies for factory automation, surveillance and transport systems, and more recently for facial recognition and image processing for mobile phones, and even driver monitoring for autonomous driving? In addition, through targeted acquisitions and development, we have recently made significant advancements in
Artificial Intelligence

Smart machines: laying the golden egg?

Greater manufacturing efficiency: it’s the golden egg we’re all looking for. But it’s getting increasingly hard to find. The solution could be smarter automation, which involves lots and lots of data (‘big data’) and data collection and data-driven modelling. The smart machine then uses the models to automatically adjust its own behaviour (i.e. machine learning).
Artificial Intelligence

Artificial Intelligence and the factory of the future

The discussion about ‘Artificial Intelligence’ (AI) in manufacturing is now gaining momentum. This is mainly due to the availability of greater processing power and increasing volumes of data (the ‘sensorisation’ of the industry). A key factor that will help manufacturers to gain the maximum benefit from these recent advances is the use of adaptive algorithms.