Many food manufacturers may not know where to begin implementing AI, and new research from IFS shows they’re not alone. However, to realize gains and stay competitive, getting started is key.
Many food manufacturers may not know where to begin implementing AI, and new research from IFS shows they’re not alone. However, to realize gains and stay competitive, getting started is key.
Combining advanced sensing technology, auto-learning capabilities and an intuitive touchscreen interface, the X8 aims to deliver accurate and reliable detection of ferrous, nonferrous and stainless-steel contaminants.
For its 10th annual State of Smart Manufacturing Report, Rockwell Automation surveyed 1,560 manufacturing leaders about the internal and external challenges they face and how they’re using technology to address them.
For its 10th annual State of Smart Manufacturing Report, Rockwell Automation surveyed 1,560 manufacturing leaders about the internal and external challenges they face and how they’re using technology to address them.
The TOMRA 4C is the first TOMRA machine to allow packers and processors to run multiple forms of artificial intelligence — including LUCAi Deep Learning and traditional machine learning — in tandem.
From machine vision and predictive maintenance to digital twin simulations and connected worker platforms, cutting-edge automated systems are redefining what’s possible in food manufacturing.
With manufacturing barely expanding and costs tightening, companies are looking to squeeze every bit of efficiency from their operations. AI-driven optimization of OEE metrics is becoming an essential lever for doing exactly that.
While employees have every right to be sceptical about AI, it’s important to note that integrating AI into existing workflows can enhance productivity and remove the need for time-consuming manual tasks.
Food and beverage manufacturers are discovering that machine learning is a vital ingredient in moving to predictive maintenance strategies. Larger food companies have the jump on digital transformations, but smaller companies are starting small and increasing spending to start the journey.
Food and beverage manufacturers are discovering that machine learning is a vital ingredient in moving to predictive maintenance strategies. Larger food companies have the jump on digital transformations, but smaller companies are starting small and increasing spending to start the journey.
With robot automation, processors gain the versatility to accommodate all the preferred cuts for different market segments without the cost and time of working with an inflexible dedicated system.