How Machine Vision Systems Save Food & Beverage Manufacturers Money

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The food and beverage manufacturing industry were one of the earliest to adopt Machine Vision technology (for the inspection of muffins in the 1980s), and it has not looked back since. Industrial machine vision has been and continues to be the backbone of smart manufacturing and operations in this industry.

But what exactly is Machine Vision?

Simply put, Machine Vision systems give industrial equipment the ability to ‘see’ their environment and make quick decisions based on what they see. It is at the core of industrial automation and is mainly used to track, inspect, position, and measure products.

 

How does Machine Vision Save a Food and Beverage Manufacturing Business Money?

Machine Vision has played a significant role in revolutionising operations in an industrial setting. It has helped optimize logistics, improve, and maintain quality and speed production for decades.

And as technology continues to evolve, we can only expect more from these systems.

Below is an in-depth look at how these systems can help a food manufacturing business save money.

 

Brand Reputation

Food and beverage brands are usually especially susceptible to an erosion of consumer trust following a product safety incident.

One bad incident is usually all it takes for a company to shatter its reputation and lose its customer base.

These scandals, which are usually highly publicised, besides leading to a loss of customers, also come with hefty legal and compensation fees, all of which are significant losses for the company.

Machine Vision systems are rigorous in their safety inspections to ensure that no mislabeled, contaminated, or spoiled product leaves the factory.

Systems such as those from MultiPix Imaging inspect products by ripeness, colour, whether the product is over or under-cooked, and any unsatisfactory product is spotted and removed.

 

Prevent Costly Recalls and Reduce Waste

Inspection regulations for food and beverage production companies require only a percentage of the products in the production line to be sampled and not every product.

This, coupled with the human error inherent in even the best human inspectors, will inevitably result in poor products and contamination going unnoticed.

Both scenarios can result in very costly product recalls.

Machine Vision systems such as those from MultiPix Imaging ensure that 100% of the products are checked for contamination and quality assurance in a precise, reliable, and most importantly, accurate system.

Vision companies are now looking into pairing Machine Vision systems with neural networks that will more precisely find variations in colour and size among products to reduce waste and increase revenue significantly.

 

Optimization

Food and beverage manufacturing plants can use Machine Vision to increase the system’s overall efficiency. These systems help improve the manufacturing line’s throughput, directly translating into higher earnings and thus higher profit.

Besides that, the Machine Vision system takes up the role of several human inspectors.

This not only reduces the labour costs but also frees up staff in the factory to work on other value-added tasks.

In a smart manufacturing plant, Vision systems generate and collect data that is fed back into a connected system where actionable insights are drawn and automatically executed without human intervention. 

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