Food and Beverage

Industry 4.0

3 Steps to Optimize Operational Efficiency for the Future of Manufacturing

Operational Excellence is required to maximize capital expenditures. But at the same time manufacturers are challenged to move away from traditional high volume, low mix production runs, to more complex high mix, low volume production with consumer demand linked directly with production. How to optimize operational efficiency to be ready for the future of manufacturing?
Brand Protection

Barcodes: keeping track of product quality

For many years, barcode technology has proved to be an economical and flexible identification technology. It has continued to develop and as a result, 1D and 2D codes (such as Datamatrix) are now used almost universally. Their versatility have made them a popular choice for streamlining many key supply chain processes, including production, logistics and
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.
Human-Machine collaboration

The robots are coming

While stationary robots are well-established and important parts of many factories and production plants, mobile platforms and manipulators will become an integral part of your factory of the future. Bruno Adam, our Mobile Business Director Europe, answers how the manufacturing process is evolving and why factories, driven by greater product customisation, will move from traditional
Brand Protection

Smart Inspection prevents Downtime

Innovative traceability technology and serialisation are essential parts of the flexible answer to modern customer demands, frequently dubbed ‘Lot Size 1‘. Individualization requires smart internal traceability that is linked to other relevant data sources to enable you to quickly modify your production to tap into new market opportunities and reap the benefits. For any of