The Internet of Things (IoT) is a relatively new phenomenon. Prof Dr Thomas Pospiech, a teacher of Production and Process Management at Heilbronn University of Applied Sciences, was interviewed recently about the ‘IoT box’ he’s developed to give his students a practical illustration of this fairly abstract concept. The professor was asked to develop a
With today’s rapid advances in technology, the manufacturing sector needs to be increasingly agile, ready to adapt to changing demands. Production lines must be more flexible, so that they can cope with shorter production runs, more varied products and tight deadlines. So how can manufacturers address these challenges? The solution lies in more advanced, interconnected
The traceability of food and drink products throughout the production and distribution process can be a complex issue. For example, alcoholic drink producers need systems that enable them to comply with local regulations regarding food traceability, as well as tax legislation. The need for precise traceability In Russia, vodka producers have to comply with a
Our TM collaborative robot provides a unique solution to easily automate applications such as picking and packing that, traditionally performed by humans, have been challenging to automate. As part of the TM series launch, we also released a mobile-compatible model, which seamlessly integrates into Omron’s LD series autonomous mobile robot. Combined with a 3D vision
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
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
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
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
by Dan Rossek, Regional Marketing Manager, Omron UK Industry 4.0 is changing the way in which manufactured goods are produced, through the use of automation and data exchange. By incorporating it into your packaging line, you can start to enjoy a range of benefits, from better data management to improved efficiency. Moving to a modern,
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
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).
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.